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1. Diabetic Peripheral Neuropathy and its Risk Factors among Chronic Diabetic Patients in Southern Karnataka, India

Author

Sneha Sri GR, Darshan BB, Aryan MG, Waseem Anjum, and Damayanthi MN

Subjects
Diabetic Peripheral Neuropathy, Michigan Neuropathy Screening Instrument (MNSI), Risk factors, Tobacco, Multivariate-analysis, Public aspects of medicine, RA1-1270
Abstract

Background: The global prevalence of diabetes mellitus (DM) was 10.5% (2021). The common complications of DM include diabetic peripheral neuropathy (DPN) which affects 30% to 50% of diabetics. DPN is a debilitating complication of diabetes that significantly impairs the quality of life of individuals. Objectives: To estimate the magnitude of DPN using Michigan Neuropathy Screening Instrument (MNSI) and to determine the factors associated with it. Methodology: A facility based cross-sectional study was conducted among 100 participants with diabetes for more than 5years. Questionnaire included sociodemographic details, diabetes history, co-morbidities, personal habits, MNSI patient and clinical version for detecting DPN. Bivariate analysis was performed to determine the factors associated with DPN; multivariate analysis to determine the exact factors affecting DPN. Results: Proportion of DPN was 34% & 38% on MNSI interview and examination version respectively. Factors affecting DPN were age, tobacco consumption, age of diagnosis of DM, co-morbidities on bivariate analysis. Tobacco consumption [AOR- 6.72, CI-2.07-21.8, P=0.002] & co-morbidities [AOR- 7.19, CI-1.93-26.7, P=0.003] on multivariate analysis. Conclusion: Proportion of DPN remains high among individuals with diabetes. Smoking & presence of co-morbidities contributes to an increased risk of DPN.

Published
2024
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2. Clinical and seasonal pattern of dengue in a tertiary care hospital of South West India [version 3; peer review: 2 approved]

Author

Robin Poovattil, Darshan BB, Bhaskaran Unnikrishnan, Ramesh Holla, Suryansh Prateek, Ashir Sharma, Basavaprabhu Achappa, and Shawna Simmy

Subjects
Dengue, Record based Study, Tertiary care Hospital, South India, eng, Medicine, Science
Abstract

Background Dengue is an emerging global viral disease with an increase 30-fold in incidence in the past fifty years. In the past decade it was restricted to only few a states of South and Northern India but in the recent past it has affected almost all the states in India. The objective of this study was to assess the clinical profile, trends and outcome of dengue cases. Methods This retrospective record based cross-sectional study was conducted in tertiary hospital, Mangaluru in Southern India. The study population included all dengue positive cases diagnosed either by IgM Capture ELISA or Dengue Non-structural Protein NS1 antigen over a period of five years. Information from pre-recorded case sheets were used for data collection. The data was analyzed using SPSS Version 20. Results from the analysis have been expressed in percentages, means and graphs. Results The study included 401 dengue cases. Most cases were in the age range of 20-40 years with a male to female ratio of 3:2. Overall seropositivity rate was 23.94% with High IgM prevalence. Monthly distribution showed a maximum cases were in the months of June and July and minimum were in January and February. Among the study participants, 91.5% of patients recovered completely and 1.7% of patients had died. 6.8% of patients were discharged against medical advice. Conclusions Dengue continues to be major public health problem in this part of the globe affecting mainly the working age group. Low seropositivity with High IgM prevelance makes dengue an important differential for febrile illness of vague nature and invokes the need for robust public health response to curb the hyper-endemicity.

Published
2024
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3. IJCM_386A: Indications and Outcomes of patients under Mechanical Ventilation in a Tertiary Care hospital

Author

Darshan BB, Chakravarty Srishti, Kumar Manish, Attam Kirti, Raju Salima, and Ashish Sharad

Subjects
mechanical ventilation, outcomes, indications, Public aspects of medicine, RA1-1270
Abstract

Background: Mechanical ventilation is the technique through which gas is moved toward and from the lungs through an external device connected directly to the patient. Information about the mortality if patients requiring mechanical ventilation is important because it allows for better counseling of patients and their families. Objectives: To study the outcome in patients receiving mechanical ventilation for specific indications. Methodology: Patients on mechanical ventilation in Government Wenlock Hospital. It is a retrospective record-based study—a semi-structured questionnaire including all complete information from pre-recorded case sheets prepared after an extensive review of the literature. Data was analyzed using SPSS version 29. Results: The mean age was 45 years. Other details of patients suffering from Chronic kidney disease, Acute Kidney Injury, Multiple organ dysfunction syndrome, Head injuries, shock, pulmonary edema, and Pneumothorax mainly. The majority of the patients who received mechanical ventilation were below 40 years of age (37.7%). A major reason for the initiation of mechanical ventilation was pneumonia (22.3%), Sepsis (25.4%), and ARDS (16.9%). AKI (N= 12), CKD (N=9), Shock (N=7), and MODS (N=6) were the major under ‘others. The type of ventilation used in the majority of the cases was invasive (87.7%) The type of ventilation used in most cases was of invasive type (87.7%). Conclusion: Even after providing mechanical ventilation, high number of patients succumbed to the complications.

Published
2024
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4. Effectiveness of multi-component modular intervention among adults with prehypertension in a village of Dakshina Kannada district - a community-based interventional study – protocol [version 2; peer review: 2 approved]

Author

B Unnikrishnan, Neneh Feren, Darshan BB, Prasanna Mithra, Nithin Kumar, Rekha Thapar, Himani Kotian, and Ramesh Holla

Subjects
Hypertension, Prehypertension, Randomized controlled trials, Block randomization, Non Communicable diseases, WHO-STEPS., eng, Medicine, Science
Abstract

Introduction: The Joint National Committee (JNC 7) report on Prevention, Detection, Evaluation, and Treatment of Hypertension, defined "prehypertension," as individuals with a Systolic Blood Pressure (SBP) in the range of 120–139 mmHg and a (diastolic blood pressure) DBP of 80–89 mmHg. Prehypertension is directly linked with hypertension which is a precursor of CVDs. Owing to its high conversion rate to hypertension, it is important to identify individuals with blood pressures in this category and bring about lifestyle modifications in them that can prevent them from being hypertensive and from developing cardiovascular diseases later in life. Methods: This randomized controlled trial will be done among the selected pre-hypertensive adults of all genders residing in Kateel Gram panchayat, Dakshina Kannada district, Karnataka. A baseline survey will be done initially to assess the level of prehypertension among the study population. To study the effectiveness of the intervention, 142 individuals will be randomly allocated using block randomization technique to intervention and control groups. A multi-component module (educational intervention) will be developed, validated, and administered to participants in the intervention group, while the control group receives standard care. Each participant will then be followed up once in four months till the end of the study period of one year to assess for changes in SBP, DBP, WHR, BMI, stress levels, and usage of tobacco and alcohol. Ethics and dissemination: Institutional Ethics Committee approval was obtained from Kasturba Medical College in Mangalore, India. The plans for dissemination of findings include presenting at scientific conferences and publishing in scholarly journals.

Published
2023
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5. Incentives for pregnant mothers during antenatal care for better maternal and neonatal health outcomes in low and middle income countries: A systematic review protocol [version 2; peer review: 2 approved]

Author

Prasanna Mithra P, Rekha T, Vaman Kulkarni, Nithin Kumar, Bhumika T V, Ratheebhai Vijayamma, Darshan BB, Anju Sinha, Bhaskaran Unnikrishnan, Ramesh Holla, Rosemol Johnson K, and Ravishankar N

Subjects
Pregnancy, Incentives, trials, Maternal outcomes, neonatal outcomes, eng, Medicine, Science
Abstract

Background: Universal access to maternal new-born and child healthcare services (MNCH) is detrimental for attainment of Sustainable Development Goal (SDG) three pertaining to promotion of health at all ages. Incentivization in the form of cash, vouchers, and goods have been used as part of strategies to improve maternal and neonatal health outcomes around the world. However, there exists uncertainties regarding the effectiveness of various incentive-based programmes targeted for pregnant mothers in low- and middle-income countries during their antenatal period. Methods: We will search six electronic databases, namely the Medical Literature Analysis and Retrieval System Online (Medline), Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, Web of Science, and Embase in addition to Google Scholar. Manual searching of the reference lists of included studies will also be done. The reporting of this protocol will follow the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) 2015 statement [29]. Only interventional studies that follow randomized, quasi randomized, and cluster randomized controlled study designs will be included. A three-stage screening process will be adopted to select articles. Risk of bias for the included studies will be assessed using the tools and criteria specified in the Cochrane handbook. In addition, the GRADE approach will be used to assess the quality of evidence for the maternal and neonatal health outcomes. Conclusion: This review of trials is essential to inform the effectiveness of incentive-based programmes targeted for pregnant women in low- and middle-income countries. It will help the policy makers to utilise the resources more effectively and to integrate the evidence based public health initiatives into the health system. This can also help build the continuum of care financial packages for all pregnant women.

Published
2022
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6. Diabetic peripheral neuropathy and its determinants among patients attending a tertiary health care centre in Mangalore, India

Author

Monisha D’Souza, Vaman Kulkarni, Unnikrishnan Bhaskaran, Humam Ahmed, Hegde Naimish, Anjali Prakash, Tabreez S, Bhanu Dahiya, Rekha Thapar, Prasanna Mithra, Nithin Kumar, Ramesh Holla, Darshan BB, and Avinash Kumar

Subjects
Diabetic neuropathies, Michigan Neuropathy Screening Instrument, prevalence, developing countries, Public aspects of medicine, RA1-1270
Abstract

Background. The burden of diabetes mellitus (DM) is on the rise especially in developing countries like India. Due to its chronic nature DM tends to cause many debilitating complications and diabetic peripheral neuropathy (DPN) is one of them. The aim of this study is to determine the prevalence of DPN among patients attending a tertiary care hospital and to identify the determinants associated with it. Design and methods. A cross sectional study was conducted in Government Wenlock Hospital, Mangalore (India), during January-February 2014. A total of 208 patients with >5 year duration of DM were asked to respond to the patient history version of Michigan Neuropathy Screening Instrument (MNSI) and examinations were conducted after obtaining consent from them. The statistical analysis was done in terms of descriptive statistics and association between variables was tested using logistic regression test.Results. The prevalence of DPN using the MNSI history version and MNSI examination were found to be 18.3% and 32.2% respectively. The major determinants associated with DPN were found to be male gender (OR: 2.7, CI: 1.4-5.1, P=0.001), smoking (OR: 5.8, CI: 1.9-17.3, P=0.001) and age >40 years (OR: 2.7, CI: 1.2-5.8, P=0.011). Conclusions. The burden of undetected DPN was found to be higher among diabetics, with an especially higher prevalence among males, smokers and those with long standing diabetes mellitus. Interventions in the form of early detection through routine screening, smoking cessation and regular follow up examinations would go a long way in reducing the burden of disability among diabetics and improve their quality of life significantly.

Published
2015
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7. Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Collaborators, GBD 2019 Antimicrobial Resistance, Ikuta, Kevin S, Swetschinski, Lucien R, Aguilar, Gisela Robles, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Weaver, Nicole Davis, Wool, Eve E, Han, Chieh, Hayoon, Anna Gershberg, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Ali, Hiwa Abubaker, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Rashid, Tarik Ahmed, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Hamad, Hanadi Al, Alahdab, Fares, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Quintanilla, Beatriz Paulina Ayala, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Jafari, Amirhossein Azari, Darshan, BB, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, and Barone-Adesi, Francesco

Subjects
Hematology, Sepsis, Emerging Infectious Diseases, Prevention, Lung, Vaccine Related, Biodefense, Pneumonia, Pneumonia & Influenza, Immunization, Infectious Diseases, 2.2 Factors relating to the physical environment, Aetiology, Infection, Good Health and Well Being, Child, Male, Female, Humans, Global Burden of Disease, Syndrome, Africa South of the Sahara, Global Health, Bacterial Infections, Risk Factors, Bacteria, GBD 2019 Antimicrobial Resistance Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundReducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes.MethodsWe estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest.FindingsFrom an estimated 13·7 million (95% UI 10·9-17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7-10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2-18·1) of all global deaths and 56·2% (52·1-60·1) of all sepsis-related deaths in 2019. Five leading pathogens-Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa-were responsible for 54·9% (52·9-56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185-285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4-71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths.InterpretationThe 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development.FundingBill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.

Published
2022

8. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Author

Haeuser, Emily, Serfes, Audrey L, Cork, Michael A, Yang, Mingyou, Abbastabar, Hedayat, Abhilash, ES, Adabi, Maryam, Adebayo, Oladimeji M, Adekanmbi, Victor, Adeyinka, Daniel Adedayo, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmadi, Keivan, Ahmed, Muktar Beshir, Akalu, Yonas, Akinyemi, Rufus Olusola, Akunna, Chisom Joyqueenet, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alene, Kefyalew Addis, Alhassan, Robert Kaba, Alipour, Vahid, Almasi-Hashiani, Amir, Alvis-Guzman, Nelson, Ameyaw, Edward Kwabena, Amini, Saeed, Amugsi, Dickson A, Ancuceanu, Robert, Anvari, Davood, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Asemahagn, Mulusew A, Jafarabadi, Mohammad Asghari, Awedew, Atalel Fentahun, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azene, Zelalem Nigussie, Darshan, BB, Babalola, Tesleem Kayode, Baig, Atif Amin, Banach, Maciej, Bärnighausen, Till Winfried, Bell, Arielle Wilder, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bijani, Ali, Bitew, Zebenay Workneh, Bohlouli, Somayeh, Bolarinwa, Obasanjo Afolabi, Boloor, Archith, Bozicevic, Ivana, Butt, Zahid A, Cárdenas, Rosario, Carvalho, Felix, Charan, Jaykaran, Chattu, Vijay Kumar, Chowdhury, Mohiuddin Ahsanul Kabir, Chu, Dinh-Toi, Cowden, Richard G, Dahlawi, Saad MA, Damiani, Giovanni, Darteh, Eugene Kofuor Maafo, Darwesh, Aso Mohammad, das Neves, José, Weaver, Nicole Davis, De Leo, Diego, De Neve, Jan-Walter, Deribe, Kebede, Deuba, Keshab, Dharmaratne, Samath, Dianatinasab, Mostafa, Diaz, Daniel, Didarloo, Alireza, Djalalinia, Shirin, Dorostkar, Fariba, Dubljanin, Eleonora, Duko, Bereket, El Tantawi, Maha, El-Jaafary, Shaimaa I, Eshrati, Babak, Eskandarieh, Sharareh, Eyawo, Oghenowede, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Farzadfar, Farshad, Fattahi, Nazir, Fauk, Nelsensius Klau, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Foigt, Nataliya A, Foroutan, Masoud, Fukumoto, Takeshi, and Gad, Mohamed M

Subjects
Biomedical and Clinical Sciences, Public Health, Health Sciences, Clinical Sciences, HIV/AIDS, Infectious Diseases, Prevention, Pediatric, Clinical Research, 2.4 Surveillance and distribution, Aetiology, Infection, Good Health and Well Being, Male, Female, Adult, Humans, Pregnancy, Adolescent, Young Adult, Middle Aged, HIV, Acquired Immunodeficiency Syndrome, Prevalence, Seroepidemiologic Studies, HIV Infections, Africa South of the Sahara, Mapping, Africa, Geostatistics, Spatial statistics, HIV prevalence, Demographics, Local Burden of Disease sub-Saharan Africa HIV Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundHuman immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15-59 years across SSA.MethodsWe analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units.ResultsWe found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a five percentage point prevalence increase in one or more sex and age group.ConclusionsAs the HIV epidemic persists and evolves in SSA, geographic and demographic shifts in prevention and treatment efforts are necessary. These estimates offer epidemiologically informative detail to better guide more targeted interventions, vital for combating HIV in SSA.

Published
2022

9. Clinical and seasonal pattern of dengue in a tertiary care hospital of South West India [version 3; peer review: 1 approved, 1 approved with reservations]

Author

Darshan BB, Ramesh Holla, Bhaskaran Unnikrishnan, Basavaprabhu Achappa, Robin Poovattil, Ashir Sharma, Shawna Simmy, and Suryansh Prateek

Subjects
Research Article, Articles, Dengue, Record based Study, Tertiary care Hospital, South India
Abstract

Background Dengue is an emerging global viral disease with an increase 30-fold in incidence in the past fifty years. In the past decade it was restricted to only few a states of South and Northern India but in the recent past it has affected almost all the states in India. The objective of this study was to assess the clinical profile, trends and outcome of dengue cases. Methods This retrospective record based cross-sectional study was conducted in tertiary hospital, Mangaluru in Southern India. The study population included all dengue positive cases diagnosed either by IgM Capture ELISA or Dengue Non-structural Protein NS1 antigen over a period of five years. Information from pre-recorded case sheets were used for data collection. The data was analyzed using SPSS Version 20. Results from the analysis have been expressed in percentages, means and graphs. Results The study included 401 dengue cases. Most cases were in the age range of 20-40 years with a male to female ratio of 3:2. Overall seropositivity rate was 23.94% with High IgM prevalence. Monthly distribution showed a maximum cases were in the months of June and July and minimum were in January and February. Among the study participants, 91.5% of patients recovered completely and 1.7% of patients had died. 6.8% of patients were discharged against medical advice. Conclusions Dengue continues to be major public health problem in this part of the globe affecting mainly the working age group. Low seropositivity with High IgM prevelance makes dengue an important differential for febrile illness of vague nature and invokes the need for robust public health response to curb the hyper-endemicity.

Published
2024
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10. Clinical and seasonal pattern of dengue in a tertiary care hospital of South West India [version 2; peer review: 1 approved with reservations, 1 not approved]

Author

Darshan BB, Ramesh Holla, Bhaskaran Unnikrishnan, Basavaprabhu Achappa, Robin Poovattil, Ashir Sharma, Shawna Simmy, and Suryansh Prateek

Subjects
Research Article, Articles, Dengue, Record based Study, Tertiary care Hospital, South India
Abstract

Background Dengue is an emerging global viral disease with an increase 30-fold in incidence in the past fifty years. In the past decade it was restricted to only few a states of South and Northern India but in the recent past it has affected almost all the states in India. The objective of this study was to assess the clinical profile, trends and outcome of dengue cases. Methods This retrospective record based cross-sectional study was conducted in tertiary hospital, Mangaluru in Southern India. The study population included all clinical dengue positive cases over a period of five years. Information from pre-recorded case sheets were used for data collection. The data was analyzed using SPSS Version 20. Results from the analysis have been expressed in percentages, means and graphs. Results The study included 401 dengue cases. Most cases were in the age range of 20-40 years with a male to female ratio of 3:2. Overall seropositivity rate was 23.94% with High IgM prevalence. Monthly distribution showed a maximum incidence in the months of June and July and minimum incidence in January and February. Among the study participants, 91.5% of patients recovered completely and 1.7% of patients had died. 6.8% of patients were discharged against medical advice. Conclusions Dengue continues to be major public health problem in this part of the globe affecting mainly the working age group. Low seropositivity with High IgM prevelance makes dengue an important differential for febrile illness of vague nature and invokes the need for robust public health response to curb the hyper-endemicity.

Published
2024
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11. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author

Collaborators, GBD 2019 Under-5 Mortality, Paulson, Katherine R, Kamath, Aruna M, Alam, Tahiya, Bienhoff, Kelly, Abady, Gdiom Gebreheat, Abbas, Jaffar, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abd-Elsalam, Sherief M, Abdoli, Amir, Abedi, Aidin, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Abushouk, Abdelrahman I, Adamu, Aishatu L, Adebayo, Oladimeji M, Adegbosin, Adeyinka Emmanuel, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adeyinka, Daniel Adedayo, Adsuar, Jose C, Afshari, Khashayar, Aghaali, Mohammad, Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Tauseef, Ahmadi, Keivan, Ahmed, Muktar Beshir, Aji, Budi, Akalu, Yonas, Akinyemi, Oluwaseun Oladapo, Aklilu, Addis, Al-Aly, Ziyad, Alam, Khurshid, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Al-Eyadhy, Ayman, Ali, Tilahun, Alicandro, Gianfranco, Alif, Mohammad, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Almasi-Hashiani, Amir, Almasri, Nihad A, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Altirkawi, Khalid A, Alumran, Arwa Khalid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Ameyaw, Edward Kwabena, Amini, Saeed, Amini-Rarani, Mostafa, Amit, Arianna Maever L, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Andrei, Catalina Liliana, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Antriyandarti, Ernoiz, Anvari, Davood, Anwer, Razique, Aqeel, Muhammad, Arabloo, Jalal, Arab-Zozani, Morteza, Aripov, Timur, Ärnlöv, Johan, Artanti, Kurnia Dwi, Arzani, Afsaneh, Asaad, Malke, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Jafarabadi, Mohammad Asghari, Athari, Seyyed Shamsadin, Athari, Seyyede Masoume, Atnafu, Desta Debalkie, Atreya, Alok, Atteraya, Madhu Sudhan, Ausloos, Marcel, Awan, Asma Tahir, Quintanilla, Beatriz Paulina Ayala, Ayano, Getinet, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azarian, Ghasem, Azene, Zelalem Nigussie, Darshan, BB, Babaee, Ebrahim, Badiye, Ashish D, and Baig, Atif Amin

Subjects
Infectious Diseases, Perinatal Period - Conditions Originating in Perinatal Period, Prevention, Pediatric, Infection, Good Health and Well Being, COVID-19, Cause of Death, Child, Child Mortality, Child, Preschool, Female, Global Health, Humans, Infant, Infant Mortality, Infant, Newborn, Life Tables, Male, SARS-CoV-2, Sustainable Development, GBD 2019 Under-5 Mortality Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundSustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival.MethodsWe completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index.FindingsGlobal U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3-74·0) in 2000 to 37·1 (33·2-41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8-29·5) in 2000 to 17·9 (16·3-19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05-10·30) in 2000 and 5·05 million (4·27-6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53-4·02]) in 2000 to 48% (2·42 million; 2·06-2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71-0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27-1·58) deaths per 1000 livebirths, and in 2019, there were as many as 1·87 million (95% UI 1·35-2·58; 37% [95% UI 32-43]) of 5·05 million more deaths of children younger than 5 years than the survival potential frontier.InterpretationGlobal child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve U5MR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress.FundingBill & Melinda Gates Foundation.

Published
2021

12. Five insights from the Global Burden of Disease Study 2019

Author

Collaborators, GBD 2019 Viewpoint, Murray, Christopher JL, Abbafati, Cristiana, Abbas, Kaja M, Abbasi, Mohammad, Abbasi-Kangevari, Mohsen, Abd-Allah, Foad, Abdollahi, Mohammad, Abedi, Parisa, Abedi, Aidin, Abolhassani, Hassan, Aboyans, Victor, Abreu, Lucas Guimarães, Abrigo, Michael RM, Abu-Gharbieh, Eman, Abu Haimed, Abdulaziz Khalid, Abushouk, Abdelrahman I, Acebedo, Alyssa, Ackerman, Ilana N, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adelson, Jaimie D, Adetokunboh, Olatunji O, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Aji, Budi, Akinyemiju, Tomi, Akombi, Blessing, Alahdab, Fares, Alam, Khurshid, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albertson, Samuel B, Alemu, Biresaw Wassihun, Alemu, Yihun Mulugeta, Alhabib, Khalid F, Ali, Muhammad, Ali, Saqib, Alicandro, Gianfranco, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Almadi, Majid Abdulrahman Hamad, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Almulhim, Abdulaziz M, Alonso, Jordi, Al-Raddadi, Rajaa M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Bekalu, Amare, Azmeraw T, Amini, Saeed, Amit, Arianna Maever L, Amugsi, Dickson A, Anbesu, Etsay Woldu, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Andrei, Tudorel, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Antony, Catherine M, Anvari, Davood, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Aravkin, Aleksandr Y, Arba, Aseb Arba Kinfe, Aripov, Timur, Ärnlöv, Johan, Arowosegbe, Oluwaseyi Olalekan, Asaad, Malke, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Ashbaugh, Charlie, Assmus, Michael, Atout, Maha Moh'd Wahbi, Ausloos, Marcel, Ausloos, Floriane, Quintanilla, Beatriz Paulina Ayala, Ayano, Getinet, Ayanore, Martin Amogre, Azari, Samad, Azene, Zelalem Nigussie, Darshan, BB, Babaee, Ebrahim, and Badawi, Alaa

Subjects
Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Birth Rate, Delivery of Health Care, Female, Global Burden of Disease, Global Health, Humans, Male, Noncommunicable Diseases, Outcome Assessment, Health Care, Risk Factors, Socioeconomic Factors, Wounds and Injuries, GBD 2019 Viewpoint Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.

Published
2020

13. Effectiveness of multi-component modular intervention among adults with prehypertension in a village of Dakshina Kannada district - a community-based interventional study – protocol [version 2; peer review: 2 approved]

Author

Neneh Feren, Rekha Thapar, B Unnikrishnan, Prasanna Mithra, Nithin Kumar, Ramesh Holla, Darshan BB, and Himani Kotian

Subjects
Study Protocol, Articles, Hypertension, Prehypertension, Randomized controlled trials, Block randomization, Non Communicable diseases, WHO-STEPS.
Abstract

Introduction: The Joint National Committee (JNC 7) report on Prevention, Detection, Evaluation, and Treatment of Hypertension, defined 'prehypertension,' as individuals with a Systolic Blood Pressure (SBP) in the range of 120–139 mmHg and a (diastolic blood pressure) DBP of 80–89 mmHg. Prehypertension is directly linked with hypertension which is a precursor of CVDs. Owing to its high conversion rate to hypertension, it is important to identify individuals with blood pressures in this category and bring about lifestyle modifications in them that can prevent them from being hypertensive and from developing cardiovascular diseases later in life. Methods: This randomized controlled trial will be done among the selected pre-hypertensive adults of all genders residing in Kateel Gram panchayat, Dakshina Kannada district, Karnataka. A baseline survey will be done initially to assess the level of prehypertension among the study population. To study the effectiveness of the intervention, 142 individuals will be randomly allocated using block randomization technique to intervention and control groups. A multi-component module (educational intervention) will be developed, validated, and administered to participants in the intervention group, while the control group receives standard care. Each participant will then be followed up once in four months till the end of the study period of one year to assess for changes in SBP, DBP, WHR, BMI, stress levels, and usage of tobacco and alcohol. Ethics and dissemination: Institutional Ethics Committee approval was obtained from Kasturba Medical College in Mangalore, India. The plans for dissemination of findings include presenting at scientific conferences and publishing in scholarly journals.

Published
2023
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14. Clinical and seasonal pattern of dengue: Persistent hyper-endemicity of a vector borne disease from Southern-West Coastal India [version 1; peer review: 1 approved with reservations, 1 not approved]

Author

Darshan BB, Ramesh Holla, Bhaskaran Unnikrishnan, Basavaprabhu Achappa, Robin Poovattil, Ashir Sharma, Shawna Simmy, and Suryansh Prateek

Subjects
Research Article, Articles, Dengue, Record based Study, Tertiary care Hospital, South India
Abstract

Background: Dengue is an emerging global viral disease with an increase 30-fold in incidence in the past fifty years. In the past decade it was restricted to only few a states of South and Northern India but in the recent past it has affected almost all the states in India. The objective of this study was to assess the clinical profile, trends and outcome of dengue cases. Methods: This retrospective record based cross-sectional study was conducted in tertiary hospitals, Mangaluru in Southern India. The study population included all clinical dengue positive cases over a period of five years. Information from pre-recorded case sheets were used for data collection. The data collected was entered and analyzed in SPSS Version 20. Results were expressed in percentages, means and graphs. Results: The study included 401 dengue cases. Most cases were in the age range of 20-40 years with a male to female ratio of 3:2. Overall seropositivity rate was 23.94% with High IgM prevalence. Monthly distribution showed a maximum incidence in the months of June and July and minimum incidence in January and February. Among the study participants, 91.5% of patients recovered completely and 1.7% of patients had died. 8.7% of patients were discharged against medical advice. Conclusions: Dengue continues to be major public health problem which indirectly hints towards the hyper endemic nature of this disease in this part of the globe affecting mainly the working age group. Low seropositivity with High IgM prevelance makes dengue an important differential for febrile illness of vague nature and invokes the need for robust public health response to curb the hyper-endemicity.

Published
2023
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15. Effectiveness of multi-component modular intervention among adults with prehypertension in a village of Dakshina Kannada district - a community-based interventional study – protocol [version 1; peer review: 2 approved with reservations]

Author

Neneh Feren, Rekha Thapar, B Unnikrishnan, Prasanna Mithra, Nithin Kumar, Ramesh Holla, Darshan BB, and Himani Kotian

Subjects
Study Protocol, Articles, Hypertension, Prehypertension, Randomized controlled trials, Block randomization, Non Communicable diseases, WHO-STEPS.
Abstract

Introduction: The Joint National Committee (JNC 7) report on Prevention, Detection, Evaluation, and Treatment of Hypertension, defined 'prehypertension,' as individuals with a Systolic Blood Pressure (SBP) in the range of 120–139 mmHg and a (diastolic blood pressure) DBP of 80–89 mmHg. Prehypertension is directly linked with hypertension which is a precursor of CVDs. Owing to its high conversion rate to hypertension, it is important to identify individuals with blood pressures in this category and bring about lifestyle modifications in them that can prevent them from being hypertensive and from developing cardiovascular diseases later in life. Methods: This randomized controlled trial will be done among the selected pre-hypertensive adults of all genders residing in Kateel Gram panchayat, Dakshina Kannada district, Karnataka. A baseline survey will be done initially to assess the level of prehypertension among the study population. To study the effectiveness of the intervention, 142 individuals will be randomly allocated using block randomization technique to intervention and control groups. A multi-component module (educational intervention) will be developed, validated, and administered to participants in the intervention group, while the control group receives standard care. Each participant will then be followed up once in four months till the end of the study period of one year to assess for changes in SBP, DBP, WHR, BMI, stress levels, and usage of tobacco and alcohol. Ethics and dissemination: Institutional Ethics Committee approval was obtained from Kasturba Medical College in Mangalore, India. The plans for dissemination of findings include presenting at scientific conferences and publishing in scholarly journals.

Published
2023
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16. COVID-19 associated acute neurological manifestations in patients admitted to a tertiary care hospital [version 1; peer review: awaiting peer review]

Author

Bhanu Thejaswi Pallempati, Darshan BB, Abhavya Jha, Vishnu Teja Jinugu, John T Ramapuram, Nithyananda K Chowta, Ramesh Holla, Nikhil Victor Dsouza, and Basavaprabhu Achappa

Subjects
Research Article, Articles, India, Hospital, COVID 19, Neurological manifestation
Abstract

BACKGROUND COVID-19 has become a major cause of concern globally for the past couple of years considering the number of lives it has claimed. The spectrum of clinical manifestations related to nervous system ranged from ageusia, anosmia to stroke and encephalopathies. The burden of follow-up and review currently lies in front of us, considering the rise of post COVID manifestations in patients. The objective of this research is to determine the neurological complications of the COVID-19 pandemic in India. METHODS The current study is a record-based retrospective study conducted in a tertiary care hospital. The records of patients admitted to the hospital between January 2021 and July 2021 were reviewed. The information was assessed and analyzed using SPSS 25.0. The results are expressed in the form of mean, standard deviation and proportions. RESULTS 1,000 patients admitted with coronavirus were assessed, and 36 patients with a neurological diagnosis available were found. The mean age was 57.1±1.6 years. Most of the neurological diagnosis included cerebrovascular accidents in 44.4% patients followed by hypokalaemia in 25% of patients. Diabetes mellitus (58.3%) and hypertension (47.2%) were found to be the major contributing co-morbidities. There was a significant association seen between the final diagnosis and the age groups (p=0.039). CONCLUSIONS This research would aid in adapting to better management guidelines as well as an integrated approach to neurovascular complications of the same in future. This is vital considering the increase in various short-term and long-terms effects being reported in the hospitals.

Published
2022
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17. Incentives for pregnant mothers during antenatal care for better maternal and neonatal health outcomes in low and middle income countries: A systematic review protocol [version 2; peer review: 2 approved]

Author

Ramesh Holla, Bhaskaran Unnikrishnan, Ratheebhai Vijayamma, Bhumika T V, Anju Sinha, Darshan BB, Rekha T, Prasanna Mithra P, Nithin Kumar, Vaman Kulkarni, Ravishankar N, and Rosemol Johnson K

Subjects
Study Protocol, Articles, Pregnancy, Incentives, trials, Maternal outcomes, neonatal outcomes
Abstract

Background : Universal access to maternal new-born and child healthcare services (MNCH) is detrimental for attainment of Sustainable Development Goal (SDG) three pertaining to promotion of health at all ages. Incentivization in the form of cash, vouchers, and goods have been used as part of strategies to improve maternal and neonatal health outcomes around the world. However, there exists uncertainties regarding the effectiveness of various incentive-based programmes targeted for pregnant mothers in low- and middle-income countries during their antenatal period. Methods: We will search six electronic databases, namely the Medical Literature Analysis and Retrieval System Online (Medline), Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, Web of Science, and Embase in addition to Google Scholar. Manual searching of the reference lists of included studies will also be done. The reporting of this protocol will follow the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) 2015 statement [29]. Only interventional studies that follow randomized, quasi randomized, and cluster randomized controlled study designs will be included. A three-stage screening process will be adopted to select articles. Risk of bias for the included studies will be assessed using the tools and criteria specified in the Cochrane handbook. In addition, the GRADE approach will be used to assess the quality of evidence for the maternal and neonatal health outcomes. Conclusion: This review of trials is essential to inform the effectiveness of incentive-based programmes targeted for pregnant women in low- and middle-income countries. It will help the policy makers to utilise the resources more effectively and to integrate the evidence based public health initiatives into the health system. This can also help build the continuum of care financial packages for all pregnant women.

Published
2022
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18. Incentives for pregnant mothers during antenatal care for better maternal and neonatal health outcomes: A systematic review protocol [version 1; peer review: 1 approved, 1 approved with reservations]

Author

Ramesh Holla, Bhaskaran Unnikrishnan, Ratheebhai Vijayamma, Bhumika T V, Anju Sinha, Darshan BB, Rekha T, Prasanna Mithra P, Nithin Kumar, Vaman Kulkarni, Ravishankar N, and Rosemol Johnson K

Subjects
Study Protocol, Articles, Pregnancy, Incentives, trials, Maternal outcomes, neonatal outcomes
Abstract

Background : Universal access to maternal new-born and child healthcare services (MNCH) is detrimental for attainment of Sustainable Development Goal (SDG) three pertaining to promotion of health at all ages. Incentivization in the form of cash, vouchers, and goods have been used as part of strategies to improve maternal and neonatal health outcomes around the world. However, there exists uncertainties regarding the effectiveness of various incentive-based programmes targeted for pregnant mothers in low- and middle-income countries during their antenatal period. Methods: We will search six electronic databases, namely the Medical Literature Analysis and Retrieval System Online (Medline), Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, Web of Science, and Embase in addition to Google Scholar. Manual searching of the reference lists of included studies will also be done. The reporting of this protocol will follow the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) 2015 statement [29]. Only interventional studies that follow randomized, quasi randomized, and cluster randomized controlled study designs will be included. A three-stage screening process will be adopted to select articles. Risk of bias for the included studies will be assessed using the tools and criteria specified in the Cochrane handbook. In addition, the GRADE approach will be used to assess the quality of evidence for the maternal and neonatal health outcomes. Conclusion: This review of trials is essential to inform the effectiveness of incentive-based programmes targeted for pregnant women in low- and middle-income countries. It will help the policy makers to utilise the resources more effectively and to integrate the evidence based public health initiatives into the health system. This can also help build the continuum of care financial packages for all pregnant women.

Published
2022
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21. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018

Author

Bhattacharjee, NV, Schaeffer, LE, Hay, SI, Lu, D, Schipp, MF, Lazzar-Atwood, A, Donkers, KM, Abady, GG, Abd-Allah, F, Abdelalim, A, Abebo, ZH, Abejie, AN, Abosetugn, AE, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adamu, AL, Adedeji, IA, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Aji, B, Akinyemi, OO, Alamneh, AA, Alanezi, FM, Alanzi, TM, Albright, J, Alcalde-Rabanal, JE, Alemu, BW, Alhassan, RK, Ali, BA, Ali, S, Alinia, C, Alipour, V, Amit, AML, Amugsi, DA, Anbesu, EW, Ancuceanu, R, Anjomshoa, M, Ansari, F, Antonio, CAT, Anvari, D, Arabloo, J, Arora, A, Artanti, KD, Asemahagn, MA, Asmare, WN, Atout, MMW, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Ayza, MA, Azene, ZN, Darshan, BB, Badiye, AD, Baig, AA, Bakkannavar, SM, Banach, M, Banik, PC, Bärnighausen, TW, Basaleem, H, Bayati, M, Baye, BA, Bedi, N, Belay, SA, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhutta, ZA, Bijani, A, Birhan, TA, Birihane, BM, Bitew, ZW, Bohlouli, S, Bohluli, M, Bojia, HA, Boloor, A, Brady, OJ, Bragazzi, NL, Brunoni, AR, Budhathoki, SS, Nagaraja, SB, Butt, ZA, Cárdenas, R, Castaldelli-Maia, JM, Castro, F, Cernigliaro, A, Charan, J, Chatterjee, P, Chatterjee, S, Chattu, VK, Chaturvedi, S, Chowdhury, MAK, Chu, D-T, Collison, ML, Cook, AJ, Cork, MA, Couto, RAS, Dagnew, B, Dai, H, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Darwish, AH, Daryani, A, Das, JK, Gupta, RD, Dávila-Cervantes, CA, Davis, AC, Weaver, ND, Denova-Gutiérrez, E, Deribe, K, Desalew, A, Deshpande, A, Dessie, A, Deuba, K, Dharmaratne, SD, Dhimal, M, Dhungana, GP, Diaz, D, Didarloo, A, Dipeolu, IO, Doan, LP, Duko, B, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Zaki, MES, Tantawi, ME, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Faris, PS, Faro, A, Farzadfar, F, Feigin, VL, Feleke, BE, Ferede, TY, Fischer, F, Foigt, NA, Folayan, MO, Franklin, RC, Gad, MM, Gaidhane, S, Gardner, WM, Geberemariyam, BS, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Ghaffarpasand, F, Gilani, SA, Ginindza, TG, Glagn, M, Golechha, M, Gonfa, KB, Goulart, BNG, Gudi, N, Guido, D, Guled, RA, Guo, Y, Hamidi, S, Handiso, DW, Hasaballah, AI, Hassan, A, Hayat, K, Hegazy, MI, Heidari, B, Henry, NJ, Herteliu, C, de, Hidru, HD, Ho, HC, Hoang, CL, Holla, R, Hon, J, Hosseini, M, Hosseinzadeh, M, Househ, M, Hsairi, M, Hu, G, Huda, TM, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, MM, Iwu, CCD, Iwu, CJ, Jain, A, Janodia, MD, Javaheri, T, John-Akinola, YO, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, A, Kalankesh, LR, Kalhor, R, Kamath, A, Kamyari, N, Kanchan, OT, Kapoor, N, Matin, BK, Karimi, SE, Kasaye, HK, Kassahun, G, Kassebaum, NJ, Kayode, GA, Karyani, AK, Keiyoro, PN, Kelkay, B, Khalid, N, Khan, MN, Khatab, K, Khater, AM, Khater, MM, Khatib, MN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kosen, S, Krishan, K, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kumar, P, Kurmi, OP, Kusuma, D, Vecchia, CL, Lad, SD, Lami, FH, Landires, I, Lansingh, VC, Lasrado, S, Lee, PH, LeGrand, KE, Letourneau, ID, Lewycka, S, Li, B, Li, M-C, Li, S, Liu, X, Lodha, R, Lopez, JCF, Louie, C, Machado, DB, Maled, V, Maleki, S, Malta, DC, Mamun, AA, Manafi, N, Mansournia, MA, Mapoma, CC, Marczak, LB, Martins-Melo, FR, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, TC, Mendoza, W, Menezes, RG, Mengesha, EW, Mersha, AM, Miller, TR, Mini, GK, Mirrakhimov, EM, Misra, S, Moghadaszadeh, M, Mohammad, DK, Mohammadian-Hafshejani, A, Mohammed, JA, Mohammed, S, Mokdad, AH, Montero-Zamora, PA, Moradi, M, Moradzadeh, R, Moraga, P, Mosser, JF, Mousavi, SM, Khaneghah, AM, Munro, SB, Muriithi, MK, Mustafa, G, Muthupandian, S, Nagarajan, AJ, Naik, G, Naimzada, MD, Nangia, V, Nascimento, BR, Nayak, VC, Ndejjo, R, Ndwandwe, DE, Negoi, I, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, DN, Nguyen, HLT, Nigussie, SN, Nigussie, TTN, Nikbakhsh, R, Nnaji, CA, Nunez-Samudio, V, Oancea, B, Oghenetega, OB, Olagunju, AT, Olusanya, BO, Olusanya, JO, Omer, MO, Onwujekwe, OE, Ortega-Altamirano, DV, Osgood-Zimmerman, AE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Parsekar, SS, Pasupula, DK, Patel, UK, Pathak, A, Pathak, M, Pattanshetty, SM, Patton, GC, Paulos, K, Pepito, VCF, Pickering, BV, Pinheiro, M, Piwoz, EG, Pokhrel, KN, Pourjafar, H, Prada, SI, Pribadi, DRA, Syed, ZQ, Rabiee, M, Rabiee, N, Rahim, F, Rahimzadeh, S, Rahman, A, Rahman, MHU, Rahmani, AM, Rai, RK, Ranabhat, CL, Rao, SJ, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Rawat, R, Regassa, LD, Rego, MAS, Reiner, RC, Reshmi, B, Rezapour, A, Ribeiro, AI, Rickard, J, Roever, L, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sartorius, B, Sathian, B, Saxena, D, Sbarra, AN, Sengupta, D, Senthilkumaran, S, Sha, F, Shafaat, O, Shaheen, AA, Shaikh, MA, Shalash, AS, Shannawaz, M, Sheikh, A, Shetty, BSK, Shetty, RS, Shibuya, K, Shiferaw, WS, Shin, JI, Silva, DAS, Singh, NP, Singh, P, Singh, S, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soheili, A, Soltani, S, Sorrie, MB, Spurlock, EE, Steuben, KM, Sudaryanto, A, Sufiyan, MB, Swartz, SJ, Tadesse, EG, Tamiru, AT, Tapak, L, Tareque, MI, Tarigan, IU, Tesema, GA, Tesfay, FH, Teshome, A, Tessema, ZT, Thankappan, KR, Thapar, R, Thomas, N, Topor-Madry, R, Tovani-Palone, MR, Traini, E, Tran, BX, Truong, PN, Tsegaye, BTBT, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Uzochukwu, BSC, VanderHeide, JD, Violante, FS, Vo, B, Wado, YD, Waheed, Y, Wamai, RG, Wang, F, Wang, Y, Wang, Y-P, Wickramasinghe, ND, Wiens, KE, Wiysonge, CS, Woyczynski, L, Wu, A-M, Wu, C, Yamada, T, Yaya, S, Yeshaneh, A, Yeshaw, Y, Yeshitila, YG, Yilma, MT, Yip, P, Yonemoto, N, Yosef, T, Younis, MZ, Yousuf, AY, Yu, C, Yu, Y, Yuce, D, Zafar, S, Zaidi, SS, Zaki, L, Zakzuk, J, Zamanian, M, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zelellw, DA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zodpey, S, Zuniga, YMH, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee, Natalia V, Schaeffer, Lauren E, Hay, Simon I, Duko, Bereket, Yeshaw, Yigizie, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee N.V., Schaeffer L.E., Hay S.I., Lu D., Schipp M.F., Lazzar-Atwood A., Donkers K.M., Abady G.G., Abd-Allah F., Abdelalim A., Abebo Z.H., Abejie A.N., Abosetugn A.E., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adamu A.L., Adedeji I.A., Adegbosin A.E., Adekanmbi V., Adetokunboh O.O., Agudelo-Botero M., Aji B., Akinyemi O.O., Alamneh A.A., Alanezi F.M., Alanzi T.M., Albright J., Alcalde-Rabanal J.E., Alemu B.W., Alhassan R.K., Ali B.A., Ali S., Alinia C., Alipour V., Amit A.M.L., Amugsi D.A., Anbesu E.W., Ancuceanu R., Anjomshoa M., Ansari F., Antonio C.A.T., Anvari D., Arabloo J., Arora A., Artanti K.D., Asemahagn M.A., Asmare W.N., Atout M.M.W., Ausloos M., Awoke N., Quintanilla B.P.A., Ayanore M.A., Aynalem Y.A., Ayza M.A., Azene Z.N., Darshan B.B., Badiye A.D., Baig A.A., Bakkannavar S.M., Banach M., Banik P.C., Barnighausen T.W., Basaleem H., Bayati M., Baye B.A., Bedi N., Belay S.A., Bhagavathula A.S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhutta Z.A., Bijani A., Birhan T.A., Birihane B.M., Bitew Z.W., Bohlouli S., Bohluli M., Bojia H.A., Boloor A., Brady O.J., Bragazzi N.L., Brunoni A.R., Budhathoki S.S., Nagaraja S.B., Butt Z.A., Cardenas R., Castaldelli-Maia J.M., Castro F., Cernigliaro A., Charan J., Chatterjee P., Chatterjee S., Chattu V.K., Chaturvedi S., Chowdhury M.A.K., Chu D.-T., Collison M.L., Cook A.J., Cork M.A., Couto R.A.S., Dagnew B., Dai H., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Darwish A.H., Daryani A., Das J.K., Gupta R.D., Davila-Cervantes C.A., Davis A.C., Weaver N.D., Denova-Gutierrez E., Deribe K., Desalew A., Deshpande A., Dessie A., Deuba K., Dharmaratne S.D., Dhimal M., Dhungana G.P., Diaz D., Didarloo A., Dipeolu I.O., Doan L.P., Duko B., Duraes A.R., Dwyer-Lindgren L., Earl L., Zaki M.E.S., Tantawi M.E., Elema T.B., Elhabashy H.R., El-Jaafary S.I., Faris P.S., Faro A., Farzadfar F., Feigin V.L., Feleke B.E., Ferede T.Y., Fischer F., Foigt N.A., Folayan M.O., Franklin R.C., Gad M.M., Gaidhane S., Gardner W.M., Geberemariyam B.S., Gebregiorgis B.G., Gebremedhin K.B., Gebremichael B., Ghaffarpasand F., Gilani S.A., Ginindza T.G., Glagn M., Golechha M., Gonfa K.B., Goulart B.N.G., Gudi N., Guido D., Guled R.A., Guo Y., Hamidi S., Handiso D.W., Hasaballah A.I., Hassan A., Hayat K., Hegazy M.I., Heidari B., Henry N.J., Herteliu C., de Hidru H.D., Ho H.C., Hoang C.L., Holla R., Hon J., Hosseini M., Hosseinzadeh M., Househ M., Hsairi M., Hu G., Huda T.M., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Iqbal U., Irvani S.S.N., Islam M.M., Iwu C.C.D., Iwu C.J., Jain A., Janodia M.D., Javaheri T., John-Akinola Y.O., Johnson K.B., Joukar F., Jozwiak J.J., Kabir A., Kalankesh L.R., Kalhor R., Kamath A., Kamyari N., Kanchan O.T., Kapoor N., Matin B.K., Karimi S.E., Kasaye H.K., Kassahun G., Kassebaum N.J., Kayode G.A., Karyani A.K., Keiyoro P.N., Kelkay B., Khalid N., Khan M.N., Khatab K., Khater A.M., Khater M.M., Khatib M.N., Kim Y.J., Kimokoti R.W., Kinyoki D.K., Kisa A., Kisa S., Kosen S., Krishan K., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kumar P., Kurmi O.P., Kusuma D., Vecchia C.L., Lad S.D., Lami F.H., Landires I., Lansingh V.C., Lasrado S., Lee P.H., LeGrand K.E., Letourneau I.D., Lewycka S., Li B., Li M.-C., Li S., Liu X., Lodha R., Lopez J.C.F., Louie C., Machado D.B., Maled V., Maleki S., Malta D.C., Mamun A.A., Manafi N., Mansournia M.A., Mapoma C.C., Marczak L.B., Martins-Melo F.R., Mehndiratta M.M., Mejia-Rodriguez F., Mekonnen T.C., Mendoza W., Menezes R.G., Mengesha E.W., Mersha A.M., Miller T.R., Mini G.K., Mirrakhimov E.M., Misra S., Moghadaszadeh M., Mohammad D.K., Mohammadian-Hafshejani A., Mohammed J.A., Mohammed S., Mokdad A.H., Montero-Zamora P.A., Moradi M., Moradzadeh R., Moraga P., Mosser J.F., Mousavi S.M., Khaneghah A.M., Munro S.B., Muriithi M.K., Mustafa G., Muthupandian S., Nagarajan A.J., Naik G., Naimzada M.D., Nangia V., Nascimento B.R., Nayak V.C., Ndejjo R., Ndwandwe D.E., Negoi I., Nguefack-Tsague G., Ngunjiri J.W., Nguyen C.T., Nguyen D.N., Nguyen H.L.T., Nigussie S.N., Nigussie T.T.N., Nikbakhsh R., Nnaji C.A., Nunez-Samudio V., Oancea B., Oghenetega O.B., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omer M.O., Onwujekwe O.E., Ortega-Altamirano D.V., Osgood-Zimmerman A.E., Otstavnov N., Otstavnov S.S., Owolabi M.O., Mahesh P.A., Padubidri J.R., Pana A., Pandey A., Pandi-Perumal S.R., Pangaribuan H.U., Parsekar S.S., Pasupula D.K., Patel U.K., Pathak A., Pathak M., Pattanshetty S.M., Patton G.C., Paulos K., Pepito V.C.F., Pickering B.V., Pinheiro M., Piwoz E.G., Pokhrel K.N., Pourjafar H., Prada S.I., Pribadi D.R.A., Syed Z.Q., Rabiee M., Rabiee N., Rahim F., Rahimzadeh S., Rahman A., Rahman M.H.U., Rahmani A.M., Rai R.K., Ranabhat C.L., Rao S.J., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawassizadeh R., Rawat R., Regassa L.D., Rego M.A.S., Reiner R.C., Reshmi B., Rezapour A., Ribeiro A.I., Rickard J., Roever L., Rumisha S.F., Rwegerera G.M., Sagar R., Sajadi S.M., Salem M.R., Samy A.M., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarker A.R., Sartorius B., Sathian B., Saxena D., Sbarra A.N., Sengupta D., Senthilkumaran S., Sha F., Shafaat O., Shaheen A.A., Shaikh M.A., Shalash A.S., Shannawaz M., Sheikh A., Shetty B.S.K., Shetty R.S., Shibuya K., Shiferaw W.S., Shin J.I., Silva D.A.S., Singh N.P., Singh P., Singh S., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soheili A., Soltani S., Sorrie M.B., Spurlock E.E., Steuben K.M., Sudaryanto A., Sufiyan M.B., Swartz S.J., Tadesse E.G., Tamiru A.T., Tapak L., Tareque M.I., Tarigan I.U., Tesema G.A., Tesfay F.H., Teshome A., Tessema Z.T., Thankappan K.R., Thapar R., Thomas N., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Truong P.N., Tsegaye B.T.B.T., Ullah I., Umeokonkwo C.D., Unnikrishnan B., Upadhyay E., Uzochukwu B.S.C., VanderHeide J.D., Violante F.S., Vo B., Wado Y.D., Waheed Y., Wamai R.G., Wang F., Wang Y., Wang Y.-P., Wickramasinghe N.D., Wiens K.E., Wiysonge C.S., Woyczynski L., Wu A.-M., Wu C., Yamada T., Yaya S., Yeshaneh A., Yeshaw Y., Yeshitila Y.G., Yilma M.T., Yip P., Yonemoto N., Yosef T., Younis M.Z., Yousuf A.Y., Yu C., Yu Y., Yuce D., Zafar S., Zaidi S.S., Zaki L., Zakzuk J., Zamanian M., Zar H.J., Zastrozhin M.S., Zastrozhina A., Zelellw D.A., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zodpey S., Zuniga Y.M.H., Collaborators, Local Burden of Disease Exclusive Breastfeeding, and Instituto de Saúde Pública da Universidade do Porto

Subjects
RJ101, Psychological intervention, Breastfeeding, Social Sciences, geography, Behavioral Neuroscience, 0302 clinical medicine, RA0421, Prevalence, Psychology, policy making, 030212 general & internal medicine, Policy Making, humans, media_common, CHILD GROWTH FAILURE, Developing world, 0303 health sciences, education.field_of_study, Psychology, Biological, Geography, Psychology, Experimental, Health Status Disparitie, Multidisciplinary Sciences, Breast Feeding, breast feeding, Scale (social sciences), Science & Technology - Other Topics, Life Sciences & Biomedicine, Human, AFRICA, Social Psychology, Inequality, spatial analysis, media_common.quotation_subject, public policy, Population, prevalence, Public policy, Developing country, Experimental and Cognitive Psychology, Public Policy, Local Burden of Disease Exclusive Breastfeeding Collaborators, Article, Developing Countrie, 03 medical and health sciences, Environmental health, Humans, Nutrition disorders, education, Developing Countries, 030304 developmental biology, Spatial Analysis, Science & Technology, Neurosciences, Health Status Disparities, developing countries, health status disparities, Risk factors, Neurosciences & Neurology, Breast feeding
Abstract

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030., Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.

Published
2021

22. Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990-2019: results from the Global Burden of Disease Study 2019

Author

Ledesma, JR, Ma, J, Vongpradith, A, Maddison, ER, Novotney, A, Biehl, MH, LeGrand, KE, Ross, JM, Jahagirdar, D, Bryazka, D, Feldman, R, Abolhassani, H, Abosetugn, AE, Abu-Gharbieh, E, Adebayo, OM, Adnani, QES, Afzal, S, Ahinkorah, BO, Ahmad, SA, Ahmadi, S, Rashid, TA, Salih, YA, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Alemayehu, Y, Alene, KA, Ali, BA, Ali, L, Alipour, V, Alizade, H, Al-Raddadi, RM, Alvis-Guzman, N, Amini, S, Amit, AML, Anderson, JA, Androudi, S, Antonio, CAT, Antony, CM, Anwer, R, Arabloo, J, Arja, A, Asemahagn, MA, Atre, SR, Azhar, GS, Darshan, BB, Babar, Z-U-D, Baig, AA, Banach, M, Barqawi, HJ, Barra, F, Barrow, A, Basu, S, Belgaumi, UI, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharjee, N, Bhattacharyya, K, Bijani, A, Bikbov, B, Boloor, A, Briko, NI, Buonsenso, D, Nagaraja, SB, Butt, ZA, Carter, A, Carvalho, F, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Christopher, DJ, Chu, D-T, Claassens, MM, Dadras, O, Dagnew, AB, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dhamnetiya, D, Dianatinasab, M, Diaz, D, Linh, PD, Eftekharzadeh, S, Elhadi, M, Emami, A, Enany, S, Faraon, EJA, Farzadfar, F, Fernandes, E, Desideri, LF, Filip, I, Fischer, F, Foroutan, M, Frank, TD, Garcia-Basteiro, AL, Garcia-Calavaro, C, Garg, T, Geberemariyam, BS, Ghadiri, K, Ghashghaee, A, Golechha, M, Goodridge, A, Gupta, B, Gupta, S, Gupta, VB, Gupta, VK, Haider, MR, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hasaballah, A, Hashi, A, Hassan, S, Hassankhani, H, Hayat, K, Hezam, K, Holla, R, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hussain, R, Ibitoye, SE, Ilic, IM, Ilic, MD, Irvani, SSN, Ismail, NE, Itumalla, R, Jaafari, J, Jacobsen, KH, Jain, V, Javanmardi, F, Jayapal, SK, Jayaram, S, Jha, RP, Jonas, JB, Joseph, N, Joukar, F, Kabir, Z, Kamath, A, Kanchan, T, Kandel, H, Katoto, PD, Kayode, GA, Kendrick, PJ, Kerbo, AA, Khajuria, H, Khalilov, R, Khatab, K, Khoja, AT, Khubchandani, J, Kim, MS, Kim, YJ, Kisa, A, Kisa, S, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Bicer, BK, Kumar, A, Kumar, GA, Kumar, N, Kwarteng, A, Lak, HM, Lal, DK, Landires, I, Lasrado, S, Lee, SWH, Lee, W-C, Lin, C, Liu, X, Lopukhov, PD, Lozano, R, Machado, DB, Kunjathur, SM, Madi, D, Mahajan, PB, Majeed, A, Malik, AA, Martins-Melo, FR, Mehta, S, Memish, ZA, Mendoza, W, Menezes, RG, Merie, HE, Mersha, AG, Mesregah, MK, Mestrovic, T, Mheidly, NM, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, S, Molokhia, M, Moni, MA, Al Montasir, A, Moore, CE, Nagarajan, AJ, Nair, S, Naqvi, AA, Swamy, SN, Nayak, BP, Nazari, J, Kandel, SN, Nguyen, TH, Nixon, MR, Nnaji, CA, Ntsekhe, M, Nunez-Samudio, V, Oancea, B, Odukoya, OO, Olagunju, AT, Oren, E, Mahesh, PA, Parthasarathi, R, Kan, FP, Pattanshetty, SM, Paudel, R, Paul, P, Pawar, S, Pepito, VCF, Yigit, V, Perico, N, Pirestani, M, Polibin, R, Postma, MJ, Pourshams, A, Prashant, A, Pribadi, DRA, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Rahman, M, Rahmani, AM, Ranasinghe, P, Rao, CR, Rawaf, DL, Rawaf, S, Reitsma, MB, Remuzzi, G, Renzaho, AMN, Reta, MA, Rezaei, N, Rezahosseini, O, Rezai, MS, Rezapour, A, Roshandel, G, Roshchin, DO, Sabour, S, Saif-Ur-Rahman, KM, Salam, N, Kafil, HS, Samaei, M, Samy, AM, Saroshe, S, Sartorius, B, Sathian, B, Sawyer, SM, Senthilkumaran, S, Seylani, A, Shafaat, O, Shaikh, MA, Sharafi, K, Shetty, RS, Shigematsu, M, Shin, JI, Silva, JP, Singh, JK, Sinha, S, Skryabin, VY, Skryabina, AA, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Sufiyan, MB, Tabuchi, T, Tadesse, EG, Tamir, Z, Tarkang, EE, Tekalegn, Y, Tesfay, FH, Tessema, B, Thapar, R, Tleyjeh, II, Tobe-Gai, R, Bach, XT, Tsegaye, B, Tsegaye, GW, Ullah, A, Umeokonkwo, CD, Tahbaz, SV, Bay, V, Giang, TV, Waheed, Y, Walters, MK, Whisnant, JL, Woldekidan, MA, Wubishet, BL, Jabbari, SHY, Yazie, TSY, Yeshaw, Y, Yi, S, Yonemoto, N, Yu, C, Yunusa, I, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zumla, A, Mokdad, AH, Salomon, JA, Reiner, RC, Lim, SS, Naghavi, M, Vos, T, Hay, S, Murray, CJL, Kyu, HH, Ledesma, JR, Ma, J, Vongpradith, A, Maddison, ER, Novotney, A, Biehl, MH, LeGrand, KE, Ross, JM, Jahagirdar, D, Bryazka, D, Feldman, R, Abolhassani, H, Abosetugn, AE, Abu-Gharbieh, E, Adebayo, OM, Adnani, QES, Afzal, S, Ahinkorah, BO, Ahmad, SA, Ahmadi, S, Rashid, TA, Salih, YA, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Alemayehu, Y, Alene, KA, Ali, BA, Ali, L, Alipour, V, Alizade, H, Al-Raddadi, RM, Alvis-Guzman, N, Amini, S, Amit, AML, Anderson, JA, Androudi, S, Antonio, CAT, Antony, CM, Anwer, R, Arabloo, J, Arja, A, Asemahagn, MA, Atre, SR, Azhar, GS, Darshan, BB, Babar, Z-U-D, Baig, AA, Banach, M, Barqawi, HJ, Barra, F, Barrow, A, Basu, S, Belgaumi, UI, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharjee, N, Bhattacharyya, K, Bijani, A, Bikbov, B, Boloor, A, Briko, NI, Buonsenso, D, Nagaraja, SB, Butt, ZA, Carter, A, Carvalho, F, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Christopher, DJ, Chu, D-T, Claassens, MM, Dadras, O, Dagnew, AB, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dhamnetiya, D, Dianatinasab, M, Diaz, D, Linh, PD, Eftekharzadeh, S, Elhadi, M, Emami, A, Enany, S, Faraon, EJA, Farzadfar, F, Fernandes, E, Desideri, LF, Filip, I, Fischer, F, Foroutan, M, Frank, TD, Garcia-Basteiro, AL, Garcia-Calavaro, C, Garg, T, Geberemariyam, BS, Ghadiri, K, Ghashghaee, A, Golechha, M, Goodridge, A, Gupta, B, Gupta, S, Gupta, VB, Gupta, VK, Haider, MR, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hasaballah, A, Hashi, A, Hassan, S, Hassankhani, H, Hayat, K, Hezam, K, Holla, R, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hussain, R, Ibitoye, SE, Ilic, IM, Ilic, MD, Irvani, SSN, Ismail, NE, Itumalla, R, Jaafari, J, Jacobsen, KH, Jain, V, Javanmardi, F, Jayapal, SK, Jayaram, S, Jha, RP, Jonas, JB, Joseph, N, Joukar, F, Kabir, Z, Kamath, A, Kanchan, T, Kandel, H, Katoto, PD, Kayode, GA, Kendrick, PJ, Kerbo, AA, Khajuria, H, Khalilov, R, Khatab, K, Khoja, AT, Khubchandani, J, Kim, MS, Kim, YJ, Kisa, A, Kisa, S, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Bicer, BK, Kumar, A, Kumar, GA, Kumar, N, Kwarteng, A, Lak, HM, Lal, DK, Landires, I, Lasrado, S, Lee, SWH, Lee, W-C, Lin, C, Liu, X, Lopukhov, PD, Lozano, R, Machado, DB, Kunjathur, SM, Madi, D, Mahajan, PB, Majeed, A, Malik, AA, Martins-Melo, FR, Mehta, S, Memish, ZA, Mendoza, W, Menezes, RG, Merie, HE, Mersha, AG, Mesregah, MK, Mestrovic, T, Mheidly, NM, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, S, Molokhia, M, Moni, MA, Al Montasir, A, Moore, CE, Nagarajan, AJ, Nair, S, Naqvi, AA, Swamy, SN, Nayak, BP, Nazari, J, Kandel, SN, Nguyen, TH, Nixon, MR, Nnaji, CA, Ntsekhe, M, Nunez-Samudio, V, Oancea, B, Odukoya, OO, Olagunju, AT, Oren, E, Mahesh, PA, Parthasarathi, R, Kan, FP, Pattanshetty, SM, Paudel, R, Paul, P, Pawar, S, Pepito, VCF, Yigit, V, Perico, N, Pirestani, M, Polibin, R, Postma, MJ, Pourshams, A, Prashant, A, Pribadi, DRA, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Rahman, M, Rahmani, AM, Ranasinghe, P, Rao, CR, Rawaf, DL, Rawaf, S, Reitsma, MB, Remuzzi, G, Renzaho, AMN, Reta, MA, Rezaei, N, Rezahosseini, O, Rezai, MS, Rezapour, A, Roshandel, G, Roshchin, DO, Sabour, S, Saif-Ur-Rahman, KM, Salam, N, Kafil, HS, Samaei, M, Samy, AM, Saroshe, S, Sartorius, B, Sathian, B, Sawyer, SM, Senthilkumaran, S, Seylani, A, Shafaat, O, Shaikh, MA, Sharafi, K, Shetty, RS, Shigematsu, M, Shin, JI, Silva, JP, Singh, JK, Sinha, S, Skryabin, VY, Skryabina, AA, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Sufiyan, MB, Tabuchi, T, Tadesse, EG, Tamir, Z, Tarkang, EE, Tekalegn, Y, Tesfay, FH, Tessema, B, Thapar, R, Tleyjeh, II, Tobe-Gai, R, Bach, XT, Tsegaye, B, Tsegaye, GW, Ullah, A, Umeokonkwo, CD, Tahbaz, SV, Bay, V, Giang, TV, Waheed, Y, Walters, MK, Whisnant, JL, Woldekidan, MA, Wubishet, BL, Jabbari, SHY, Yazie, TSY, Yeshaw, Y, Yi, S, Yonemoto, N, Yu, C, Yunusa, I, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zumla, A, Mokdad, AH, Salomon, JA, Reiner, RC, Lim, SS, Naghavi, M, Vos, T, Hay, S, Murray, CJL, and Kyu, HH

Abstract

BACKGROUND: Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health targets, evaluations of differences in tuberculosis burden by sex are crucial. We aimed to assess the levels and trends of the global burden of tuberculosis, with an emphasis on investigating differences in sex by HIV status for 204 countries and territories from 1990 to 2019. METHODS: We used a Bayesian hierarchical Cause of Death Ensemble model (CODEm) platform to analyse 21 505 site-years of vital registration data, 705 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, and 680 site-years of mortality surveillance data to estimate mortality due to tuberculosis among HIV-negative individuals. We used a population attributable fraction approach to estimate mortality related to HIV and tuberculosis coinfection. A compartmental meta-regression tool (DisMod-MR 2.1) was then used to synthesise all available data sources, including prevalence surveys, annual case notifications, population-based tuberculin surveys, and tuberculosis cause-specific mortality, to produce estimates of incidence, prevalence, and mortality that were internally consistent. We further estimated the fraction of tuberculosis mortality that is attributable to independent effects of risk factors, including smoking, alcohol use, and diabetes, for HIV-negative individuals. For individuals with HIV and tuberculosis coinfection, we assessed mortality attributable to HIV risk factors including unsafe sex, intimate partner violence (only estimated among females), and injection drug use. We present 95% uncertainty intervals for all estimates. FINDINGS: Globally, in 2019, among HIV-negative individuals, there were 1·18 million (95% uncertainty interval 1·08-1·29) deaths due to tuberculosis and 8·50 million (7·45-9·73) incident cases of tuberculosis

Published
2022

23. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018

Author

Haeuser, E, Serfes, AL, Cork, MA, Yang, M, Abbastabar, H, Abhilash, ES, Adabi, M, Adebayo, OM, Adekanmbi, V, Adeyinka, DA, Afzal, S, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Akalu, Y, Akinyemi, RO, Akunna, CJ, Alahdab, F, Alanezi, FM, Alanzi, TM, Alene, KA, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amugsi, DA, Ancuceanu, R, Anvari, D, Appiah, SCY, Arabloo, J, Aremu, O, Asemahagn, MA, Jafarabadi, MA, Awedew, AF, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azari, S, Azene, ZN, Darshan, BB, Babalola, TK, Baig, AA, Banach, M, Barnighausen, TW, Bell, AW, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bijani, A, Bitew, ZW, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bozicevic, I, Butt, ZA, Cardenas, R, Carvalho, F, Charan, J, Chattu, VK, Chowdhury, MAK, Chu, D-T, Cowden, RG, Dahlawi, SMA, Damiani, G, Darteh, EKM, Darwesh, AM, das Neves, J, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Deuba, K, Dharmaratne, S, Dianatinasab, M, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Dubljanin, E, Duko, B, El Tantawi, M, El-Jaafary, S, Eshrati, B, Eskandarieh, S, Eyawo, O, Ezeonwumelu, IJ, Ezzikouri, S, Farzadfar, F, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gebregiorgis, BG, Gebremedhin, KB, Getacher, L, Ghadiri, K, Ghashghaee, A, Golechha, M, Gubari, MIM, Gugnani, HC, Guimaraes, RA, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hashi, A, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseini, M, Hosseinzadeh, M, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Islam, RM, Iwu, CCD, Jakovljevic, M, Jha, RP, Ji, JS, Johnson, KB, Joseph, N, Joshua, V, Joukar, F, Jozwiak, JJ, Kalankesh, LR, Kalhor, R, Kamyari, N, Kanchan, T, Matin, BK, Karimi, SE, Kayode, GA, Karyani, AK, Keramati, M, Khan, EA, Khan, G, Khan, MN, Khatab, K, Khubchandani, J, Kim, YJ, Kisa, A, Kisa, S, Kopec, JA, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kugbey, N, Kulkarni, V, Kumar, M, Kumar, N, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Larson, HJ, Lasrado, S, Lee, PH, Li, S, Liu, X, Maleki, A, Malik, P, Mansournia, MA, Martins-Melo, FR, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mestrovic, T, Mirica, A, Moazen, B, Mohamad, O, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moradi, M, Moraga, P, Mubarik, S, Mulu, GBB, Mwanri, L, Nagarajan, AJ, Naimzada, MD, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Ngalesoni, FN, Nguefack-Tsague, G, Ngunjiri, JW, Cuong, TN, Huong, LTN, Nnaji, CA, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Olagunju, AT, Olakunde, BO, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Orisakwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Kan, FP, Patton, GC, Pawar, S, Peprah, EK, Postma, MJ, Preotescu, L, Syed, ZQ, Rabiee, N, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Regassa, LD, Rezaei, N, Rezapour, A, Riaz, MA, Ribeiro, AI, Ross, JM, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Moghaddam, SS, Sagar, R, Sahiledengle, B, Sahu, M, Salem, MR, Kafil, HS, Samy, AM, Sartorius, B, Sathian, B, Seidu, A-A, Shaheen, AA, Shaikh, MA, Shamsizadeh, M, Shiferaw, WS, Shin, JI, Shrestha, R, Singh, JA, Skryabin, VY, Skryabina, AA, Soltani, S, Sufiyan, MB, Tabuchi, T, Tadesse, EG, Taveira, N, Tesfay, FH, Thapar, R, Tovani-Palone, MR, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Villafane, JH, Violante, FS, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Ward, P, Wickramasinghe, ND, Wilson, K, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Zastrozhin, MS, Zhang, Y, Zhang, Z-J, Hay, S, Dwyer-Lindgren, L, Haeuser, E, Serfes, AL, Cork, MA, Yang, M, Abbastabar, H, Abhilash, ES, Adabi, M, Adebayo, OM, Adekanmbi, V, Adeyinka, DA, Afzal, S, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Akalu, Y, Akinyemi, RO, Akunna, CJ, Alahdab, F, Alanezi, FM, Alanzi, TM, Alene, KA, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amugsi, DA, Ancuceanu, R, Anvari, D, Appiah, SCY, Arabloo, J, Aremu, O, Asemahagn, MA, Jafarabadi, MA, Awedew, AF, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azari, S, Azene, ZN, Darshan, BB, Babalola, TK, Baig, AA, Banach, M, Barnighausen, TW, Bell, AW, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bijani, A, Bitew, ZW, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bozicevic, I, Butt, ZA, Cardenas, R, Carvalho, F, Charan, J, Chattu, VK, Chowdhury, MAK, Chu, D-T, Cowden, RG, Dahlawi, SMA, Damiani, G, Darteh, EKM, Darwesh, AM, das Neves, J, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Deuba, K, Dharmaratne, S, Dianatinasab, M, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Dubljanin, E, Duko, B, El Tantawi, M, El-Jaafary, S, Eshrati, B, Eskandarieh, S, Eyawo, O, Ezeonwumelu, IJ, Ezzikouri, S, Farzadfar, F, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gebregiorgis, BG, Gebremedhin, KB, Getacher, L, Ghadiri, K, Ghashghaee, A, Golechha, M, Gubari, MIM, Gugnani, HC, Guimaraes, RA, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hashi, A, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseini, M, Hosseinzadeh, M, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Islam, RM, Iwu, CCD, Jakovljevic, M, Jha, RP, Ji, JS, Johnson, KB, Joseph, N, Joshua, V, Joukar, F, Jozwiak, JJ, Kalankesh, LR, Kalhor, R, Kamyari, N, Kanchan, T, Matin, BK, Karimi, SE, Kayode, GA, Karyani, AK, Keramati, M, Khan, EA, Khan, G, Khan, MN, Khatab, K, Khubchandani, J, Kim, YJ, Kisa, A, Kisa, S, Kopec, JA, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kugbey, N, Kulkarni, V, Kumar, M, Kumar, N, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Larson, HJ, Lasrado, S, Lee, PH, Li, S, Liu, X, Maleki, A, Malik, P, Mansournia, MA, Martins-Melo, FR, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mestrovic, T, Mirica, A, Moazen, B, Mohamad, O, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moradi, M, Moraga, P, Mubarik, S, Mulu, GBB, Mwanri, L, Nagarajan, AJ, Naimzada, MD, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Ngalesoni, FN, Nguefack-Tsague, G, Ngunjiri, JW, Cuong, TN, Huong, LTN, Nnaji, CA, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Olagunju, AT, Olakunde, BO, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Orisakwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Kan, FP, Patton, GC, Pawar, S, Peprah, EK, Postma, MJ, Preotescu, L, Syed, ZQ, Rabiee, N, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Regassa, LD, Rezaei, N, Rezapour, A, Riaz, MA, Ribeiro, AI, Ross, JM, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Moghaddam, SS, Sagar, R, Sahiledengle, B, Sahu, M, Salem, MR, Kafil, HS, Samy, AM, Sartorius, B, Sathian, B, Seidu, A-A, Shaheen, AA, Shaikh, MA, Shamsizadeh, M, Shiferaw, WS, Shin, JI, Shrestha, R, Singh, JA, Skryabin, VY, Skryabina, AA, Soltani, S, Sufiyan, MB, Tabuchi, T, Tadesse, EG, Taveira, N, Tesfay, FH, Thapar, R, Tovani-Palone, MR, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Villafane, JH, Violante, FS, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Ward, P, Wickramasinghe, ND, Wilson, K, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Zastrozhin, MS, Zhang, Y, Zhang, Z-J, Hay, S, and Dwyer-Lindgren, L

Abstract

BACKGROUND: Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15-59 years across SSA. METHODS: We analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units. RESULTS: We found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a

Published
2022

24. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author

Paulson, K. R., Kamath, A. M., Alam, T., Bienhoff, K., Abady, G. G., Abbas, J., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abd-Elsalam, S. M., Abdoli, A., Abedi, A., Abolhassani, H., Abreu, L. G., Abu-Gharbieh, E., Abu-Rmeileh, N. M. E., Abushouk, A. I., Adamu, A. L., Adebayo, O. M., Adegbosin, A. E., Adekanmbi, V., Adetokunboh, O. O., Adeyinka, D. A., Adsuar, J. C., Afshari, K., Aghaali, M., Agudelo-Botero, M., Ahinkorah, B. O., Ahmad, T., Ahmadi, K., Ahmed, M. B., Aji, B., Akalu, Y., Akinyemi, O. O., Aklilu, A., Al-Aly, Z., Alam, K., Alanezi, F. M., Alanzi, T. M., Alcalde-Rabanal, J. E., Al-Eyadhy, A., Ali, T., Alicandro, G., Alif, S. M., Alipour, V., Alizade, H., Aljunid, S. M., Almasi-Hashiani, A., Almasri, N. A., Al-Mekhlafi, H. M., Alonso, J., Al-Raddadi, R. M., Altirkawi, K. A., Alumran, A. K., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Ameyaw, E. K., Amini, S., Amini-Rarani, M., Amit, A. M. L., Amugsi, D. A., Ancuceanu, R., Anderlini, D., Andrei, C. L., Ansari, F., Ansari-Moghaddam, A., Antonio, C. A. T., Antriyandarti, E., Anvari, D., Anwer, R., Aqeel, M., Arabloo, J., Arab-Zozani, M., Aripov, T., Arnlov, J., Artanti, K. D., Arzani, A., Asaad, M., Asadi-Aliabadi, M., Asadi-Pooya, Ali A, Jafarabadi, M. A., Athari, S. S., Athari, S. M., Atnafu, D. D., Atreya, A., Atteraya, M. S., Ausloos, M., Awan, A. T., Quintanilla, B. P. A., Ayano, G., Ayanore, M. A., Aynalem, Y. A., Azari, S., Azarian, G., Azene, Z. N., Darshan, BB, Babaee, E., Badiye, A. D., Baig, A. A., Banach, M., Banik, P. C., Barker-Collo, S. L., Barqawi, H. J., Bassat, Q., Basu, S., Baune, B.T., Bayati, M., Bedi, N., Beghi, E., Beghi, M., Bell, M. L., Bendak, S., Bennett, D. A., Bensenor, I. M., Berhe, K., Berman, A. E., Bezabih, Y. M., Bhagavathula, A. S., Bhandari, D., Bhardwaj, N., Bhardwaj, P., Bhattacharyya, K., Bhattarai, S., Bhutta, Z. A., Bikbov, B., Biondi, A., Birihane, B. M., Biswas, R. K., Bohlouli, S., Bragazzi, N. L., Breusov, A. V., Brunoni, A. 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L.R., Iqbal K., Iqbal U., Islam M.M., Islam S.M.S., Iso H., Iwagami M., Iwu C.C.D., Jaafari J., Jacobsen K.H., Jagnoor J., Jain V., Janodia M.D., Javaheri T., Javanmardi F., Jayaram S., Jayatilleke A.U., Jenabi E., Jha R.P., Ji J.S., John O., Jonas J.B., Joo T., Joseph N., Joukar F., Jozwiak J.J., Jurisson M., Kabir A., Kabir Z., Kalankesh L.R., Kamyari N., Kanchan T., Kapoor N., Karami Matin B., Karch A., Karimi S.E., Kassahun G., Kayode G.A., Kazemi Karyani A., Kemmer L., Khalid N., Khalilov R., Khammarnia M., Khan E.A., Khan G., Khan M., Khan M.N., Khang Y.-H., Khatab K., Khater A.M., Khater M.M., Khayamzadeh M., Khosravi A., Kim D., Kim Y.-E., Kim Y.J., Kimokoti R.W., Kisa A., Kisa S., Kissoon N., Kopec J.A., Kosen S., Koul P.A., Koulmane Laxminarayana S.L., Koyanagi A., Krishan K., Krishnamoorthy V., Kuate Defo B., Kucuk Bicer B., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kurmi O.P., Kusuma D., La Vecchia C., Lacey B., Lalloo R., Lami F.H., Landires I., Larsson A.O., Lasrado S., Lassi Z.S., Lauriola P., Lee P.H., Lee S.W.H., Lee Y.H., Leigh J., Leonardi M., Lewycka S., Li B., Li S., Liang J., Lim L.-L., Limenih M.A., Lin R.-T., Liu X., Lodha R., Lopez A.D., Lozano R., Lugo A., Lunevicius R., Mackay M.T., Madhava Kunjathur S., Magnani F.G., Mahadeshwara Prasad D.R., Maheri M., Mahmoudi M., Majeed A., Maled V., Maleki A., Maleki S., Malekzadeh R., Malik A.A., Malta D.C., Mamun A.A., Mansouri B., Mansournia M.A., Martinez G., Martini S., Martins-Melo F.R., Masoumi S.Z., Maulik P.K., McAlinden C., McGrath J.J., Medina-Solis C.E., Mehrabi Nasab E., Mejia-Rodriguez F., Memish Z.A., Mendoza W., Menezes R.G., Mengesha E.W., Mensah G.A., Meretoja A., Meretoja T.J., Mersha A.M., Mestrovic T., Miazgowski B., Miazgowski T., Michalek I.M., Miller T.R., Mini G.K., Miri M., Mirica A., Mirrakhimov E.M., Mirzaei H., Mirzaei M., Moazen B., Moghadaszadeh M., Mohajer B., Mohamad O., Mohammad Y., Mohammadi S.M., Mohammadian-Hafshejani A., Mohammed S., Mokdad A.H., Molokhia M., 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A., Kazemi Karyani, A., Kemmer, L., Khalid, N., Khalilov, R., Khammarnia, M., Khan, E. A., Khan, G., Khan, M., Khan, M. N., Khang, Y. -H., Khatab, K., Khater, A. M., Khater, M. M., Khayamzadeh, M., Khosravi, A., Kim, D., Kim, Y. -E., Kim, Y. J., Kimokoti, R. W., Kisa, A., Kisa, S., Kissoon, N., Kopec, J. A., Kosen, S., Koul, P. A., Koulmane Laxminarayana, S. L., Koyanagi, A., Krishan, K., Krishnamoorthy, V., Kuate Defo, B., Kucuk Bicer, B., Kulkarni, V., Kumar, G. A., Kumar, M., Kumar, N., Kurmi, O. P., Kusuma, D., La Vecchia, C., Lacey, B., Lalloo, R., Lami, F. H., Landires, I., Larsson, A. O., Lasrado, S., Lassi, Z. S., Lauriola, P., Lee, P. H., Lee, S. W. H., Lee, Y. H., Leigh, J., Leonardi, M., Lewycka, S., Li, B., Li, S., Liang, J., Lim, L. -L., Limenih, M. A., Lin, R. -T., Liu, X., Lodha, R., Lopez, A. D., Lozano, R., Lugo, A., Lunevicius, R., Mackay, M. T., Madhava Kunjathur, S., Magnani, F. G., Mahadeshwara Prasad, D. 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Yonemoto, N, Yoon, S, Younis, M, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, S, Zaidi, S, Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, M, Zastrozhina, A, Zhang, Y, Zhang, Z, Zhao, X, Ziapour, A, Hay, S, Murray, C, Wang, H, Kassebaum, N, and Lee Kong Chian School of Medicine (LKCMedicine)

Subjects
Male, Perinatal care, Newborn care, STILLBIRTHS, RJ101, UNDER-5 MORTALITY, Psychological intervention, 010501 environmental sciences, Infant mortality, Global Health, 01 natural sciences, 0302 clinical medicine, RA0421, Cause of Death, Infant Mortality, Global health, Life Tables, Healthcare improvements, 030212 general & internal medicine, 610 Medicine & health, Child, COVID-19, Humans, Infant, SARS-CoV-2, Sustainable Development, 11 Medical and Health Sciences, Cause of death, Life Table, Mortality rate, 1. No poverty, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Articles, Hälsovetenskaper, Mortality analyses, 3. Good health, Child, Preschool, SDG 1 - No Poverty, Child Mortality, Female, Life Sciences & Biomedicine, Human, Child mortality, COUNTRIES, DEATHS, Infants -- Mortalitat, GBD, 03 medical and health sciences, Medicine, General & Internal, SDG 3 - Good Health and Well-being, Life tables, under-5 mortality rate, General & Internal Medicine, Health Sciences, Neonatal deaths, medicine, SYSTEMATIC ANALYSIS, Medicine [Science], Infants -- Salut, Preschool, 0105 earth and related environmental sciences, Science & Technology, Infants nadons -- Salut, business.industry, Infants nadons -- Mortalitat, INFORM, Infant, Newborn, Neonatal and child health, Sustainable Development Goal 3.2, GBD 2019 Under-5 Mortality Collaborators, medicine.disease, Newborn, TRENDS, Sustainable Development Goal, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Deaths, 3121 General medicine, internal medicine and other clinical medicine, RG, business, Systematic Analysis, Malaria, Demography
Abstract

Background: Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods: We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings: Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3-74·0) in 2000 to 37·1 (33·2-41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8-29·5) in 2000 to 17·9 (16·3-19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05-10·30) in 2000 and 5·05 million (4·27-6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53-4·02]) in 2000 to 48% (2·42 million; 2·06-2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71-0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27-1·58) deaths per 1000 livebirths, and in 2019, there were as many as 1·87 million (95% UI 1·35-2·58; 37% [95% UI 32-43]) of 5·05 million more deaths of children younger than 5 years than the survival potential frontier. Interpretation: Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve U5MR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. This article was supported by the European Research Council, ERC 848325. Alberto Ortiz was supported by FIS/Fondos FEDER (PI18/01366, PI19/00588, PI19/00815, DTS18/00032, ERA-PerMed-JTC2018 (KIDNEY ATTACK AC18/00064 and PERSTIGAN AC18/00071, ISCIII-RETIC REDinREN RD016/0009). Daniela Ribeiro acknowledges the financial support from the European Union [FEDER funds through COMPETE, POCI-01-0145-FEDER-029253). Joan B Soriano acknowledges support from the Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain Funding: Bill & Melinda Gates Foundation

Published
2021
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25. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author

Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chaturvedi, S, Chen, S, Cho, DY, Choi, J-YJ, Chu, D-T, Ciobanu, LG, Cirillo, M, Conde, J, Costa, VM, Couto, RAS, Dachew, BA, Dahlawi, SMA, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, GL, Das, JK, Davila-Cervantes, CA, Davis, AC, Davletov, K, De la Hoz, FP, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, SD, Dhingra, S, Dhungana, GP, da Silva, DD, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, AR, Eagan, AW, Edinur, HA, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, 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SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Nena, E, Nepal, S, Netsere, HB, Nguefack-Tsague, G, Ngunjiri, JW, Chi, TYN, Cuong, TN, Huong, LTN, Nigatu, YT, Nigussie, SN, Nixon, MR, Nnaji, CA, Nomura, S, Noor, NM, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Ogbo, FA, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakhale, S, Pakshir, K, Pal, PK, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pardo-Montano, AM, Park, E-K, Patel, SK, Patton, GC, Pawar, S, Toroudi, HP, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, MA, Pirsaheb, M, Platts-Mills, JA, Pokhrel, KN, Postma, MJ, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Syed, ZQ, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawasia, WF, Rawassizadeh, R, Jr, RCR, Remuzzi, G, Renzaho, AMN, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, SM, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, SF, Ryan, PM, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Salahshoor, MR, Salehi, S, Salem, MR, Salimzadeh, H, Salomon, JA, Samodra, YL, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, GK, Saylan, M, Schiavolin, S, Schlaich, MP, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, AA, Shahid, I, Shaikh, MA, Shakiba, S, Shalash, AS, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, WS, Shigematsu, M, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siddiqi, TJ, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, and Kassebaum, NJ

Published
2021

26. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author

Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E

Published
2021

27. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author

Kendrick, PJ, Reitsma, MB, Abbasi-Kangevari, M, Abdoli, A, Abdollahi, M, Abedi, A, Abhilash, ES, Aboyans, V, Adebayo, OM, Advani, SM, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akalu, Y, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alanezi, FM, Alanzi, TM, Alhabib, KF, Ali, T, Alif, SM, Alipour, V, Aljunid, SM, Alomari, MA, Amin, TT, Amini, S, Amu, H, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Ansari-Moghaddam, A, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Artanti, KD, Asmare, WN, Atnafu, DD, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Banach, M, Banerjee, SK, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Bekuma, TT, Bennett, DA, Bensenor, IM, Benzian, H, Benziger, CP, Berman, AE, Bhagavathula, AS, Bhala, N, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Car, J, Carreras, G, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chaturvedi, P, Chen, S, Chido-Amajuoyi, OG, Chu, D-T, Chung, S-C, Ciobanu, LG, Costa, VM, Couto, RAS, Dagnew, B, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Molla, MD, Desta, AA, Dharmaratne, SD, Dhimal, M, Eagan, AW, Kalan, ME, Edvardsson, K, Effiong, A, El Tantawi, M, Elbarazi, I, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gallus, S, Geberemariyam, BS, Gebregiorgis, BG, Getacher, L, Obsa, AG, Ghafourifard, M, Gheshlagh, RG, Ghashghaee, A, Ghith, N, Gil, GF, Gill, PS, Ginawi, IA, Goharinezhad, S, Golechha, M, Gopalani, SV, Gorini, G, Grivna, M, Guha, A, Guimaraes, RA, Guo, Y, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hay, S, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Holla, R, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Ibeneme, CU, Ibitoye, SE, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karch, A, Karimi, SE, Kebede, KM, Kelkay, B, Kennedy, RD, Khader, YS, Khan, EA, Khayamzadeh, M, Kim, GR, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Liu, W, Lugo, A, Kunjathur, SM, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martini, S, Mathur, MR, Mathur, P, Mazidi, M, McKee, M, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Miazgowski, B, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Misra, S, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Nagaraju, SP, Naghavi, M, Naik, N, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nazari, J, Nduaguba, SO, Negoi, RI, Kandel, SN, Nguyen, HLT, Nigatu, YT, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nowak, C, Nunez-Samudio, V, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Owolabi, MO, Mahesh, PA, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Pathak, M, Pawar, S, Pestell, RG, Pham, HQ, Pinheiro, M, Pokhrel, KN, Pourshams, A, Prashant, A, Radfar, A, Rahimi-Movaghar, V, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Ram, P, Rana, J, Ranabhat, CL, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Renzaho, AMN, Rezapour, A, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Sao Jose, BP, Sathian, B, Sawhney, M, Saya, GK, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Shafaat, O, Shah, SM, Shaikh, MA, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Skryabin, VY, Skryabina, AA, Soroush, A, Soyiri, IN, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Thakur, B, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Tran, BX, Tripathy, JP, Tsegaye, GW, Tymeson, HD, Ullah, S, Unim, B, Updike, RL, Uthman, OA, Vacante, M, Vardavas, C, Venketasubramanian, N, Verma, M, Vidale, S, Vo, B, Vu, GT, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Wubishet, BL, Yamagishi, K, Yano, Y, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yousefi, Z, Yu, C, Yunusa, I, Yusefzadeh, H, Zaman, MS, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Kendrick, PJ, Reitsma, MB, Abbasi-Kangevari, M, Abdoli, A, Abdollahi, M, Abedi, A, Abhilash, ES, Aboyans, V, Adebayo, OM, Advani, SM, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akalu, Y, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alanezi, FM, Alanzi, TM, Alhabib, KF, Ali, T, Alif, SM, Alipour, V, Aljunid, SM, Alomari, MA, Amin, TT, Amini, S, Amu, H, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Ansari-Moghaddam, A, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Artanti, KD, Asmare, WN, Atnafu, DD, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Banach, M, Banerjee, SK, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Bekuma, TT, Bennett, DA, Bensenor, IM, Benzian, H, Benziger, CP, Berman, AE, Bhagavathula, AS, Bhala, N, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Car, J, Carreras, G, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chaturvedi, P, Chen, S, Chido-Amajuoyi, OG, Chu, D-T, Chung, S-C, Ciobanu, LG, Costa, VM, Couto, RAS, Dagnew, B, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Molla, MD, Desta, AA, Dharmaratne, SD, Dhimal, M, Eagan, AW, Kalan, ME, Edvardsson, K, Effiong, A, El Tantawi, M, Elbarazi, I, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gallus, S, Geberemariyam, BS, Gebregiorgis, BG, Getacher, L, Obsa, AG, Ghafourifard, M, Gheshlagh, RG, Ghashghaee, A, Ghith, N, Gil, GF, Gill, PS, Ginawi, IA, Goharinezhad, S, Golechha, M, Gopalani, SV, Gorini, G, Grivna, M, Guha, A, Guimaraes, RA, Guo, Y, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hay, S, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Holla, R, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Ibeneme, CU, Ibitoye, SE, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karch, A, Karimi, SE, Kebede, KM, Kelkay, B, Kennedy, RD, Khader, YS, Khan, EA, Khayamzadeh, M, Kim, GR, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Liu, W, Lugo, A, Kunjathur, SM, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martini, S, Mathur, MR, Mathur, P, Mazidi, M, McKee, M, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Miazgowski, B, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Misra, S, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Nagaraju, SP, Naghavi, M, Naik, N, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nazari, J, Nduaguba, SO, Negoi, RI, Kandel, SN, Nguyen, HLT, Nigatu, YT, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nowak, C, Nunez-Samudio, V, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Owolabi, MO, Mahesh, PA, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Pathak, M, Pawar, S, Pestell, RG, Pham, HQ, Pinheiro, M, Pokhrel, KN, Pourshams, A, Prashant, A, Radfar, A, Rahimi-Movaghar, V, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Ram, P, Rana, J, Ranabhat, CL, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Renzaho, AMN, Rezapour, A, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Sao Jose, BP, Sathian, B, Sawhney, M, Saya, GK, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Shafaat, O, Shah, SM, Shaikh, MA, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Skryabin, VY, Skryabina, AA, Soroush, A, Soyiri, IN, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Thakur, B, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Tran, BX, Tripathy, JP, Tsegaye, GW, Tymeson, HD, Ullah, S, Unim, B, Updike, RL, Uthman, OA, Vacante, M, Vardavas, C, Venketasubramanian, N, Verma, M, Vidale, S, Vo, B, Vu, GT, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Wubishet, BL, Yamagishi, K, Yano, Y, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yousefi, Z, Yu, C, Yunusa, I, Yusefzadeh, H, Zaman, MS, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E

Published
2021

28. Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems

Author

Cork, MA, Henry, NJ, Watson, S, Croneberger, AJ, Baumann, M, Letourneau, ID, Yang, M, Serfes, AL, Abbas, J, Abbasi, N, Abbastabar, H, Abreu, LG, Abu-Gharbieh, E, Achappa, B, Adabi, M, Adal, TG, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ancuceanu, R, Andrei, T, Anvari, D, Aqeel, M, Arabloo, J, Aremu, O, Asaad, M, Atnafu, DD, Atreya, A, Quintanilla, BPA, Azari, S, Darshan, BB, Baig, AA, Banach, M, Bante, SA, Barboza, MA, Basu, S, Bedi, N, Bejarano Ramirez, DF, Bensenor, IM, Beyene, FY, Bezabih, YM, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhutta, ZA, Bijani, A, Birlik, SM, Bitew, ZW, Bohlouli, S, Boloor, A, Brunoni, AR, Butt, ZA, Cardenas, R, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Charan, J, Chatterjee, S, Chattu, VK, Chattu, SK, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Cook, AJ, Cormier, NM, Dahlawi, SMA, Daoud, F, Davila Cervantes, CA, Weaver, ND, De la Hoz, FP, Demeke, FM, Denova-Gutierrez, E, Deribe, K, Deuba, K, Dharmaratne, SD, Dhungana, GP, Diaz, D, Djalalinia, S, Duraes, AR, Eagan, AW, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, Elayedath, R, El-Jaafary, SI, Faraon, EJA, Faro, A, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gebremariam, TBB, Gebremedhin, KB, Gebremeskel, GG, Gesesew, HA, Ghadiri, K, Ghashghaee, A, Gilani, SA, Golechha, M, Gori, U, Goulart, AC, Goulart, BNG, Gugnani, HC, Guimaraes, MDC, Guimaraes, RA, Guo, Y, Gupta, R, Haeuser, E, Haider, MR, Haile, TG, Haj-Mirzaian, A, Hanif, A, Hargono, A, Hariyani, N, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseinzadeh, M, Househ, M, Hwang, BF, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, MD, Ilic, IM, Iqbal, U, Jahagirdar, D, Jain, V, Jakovljevic, M, Jha, RP, Johnson, KB, Joseph, N, Joukar, F, Kalankesh, LR, Kalhor, R, Kanchan, T, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Keramati, M, Khalid, N, Khan, EA, Khan, G, Khan, MNN, Khatab, K, Kianipour, N, Kim, YJ, Kisa, S, Kisa, A, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kuchenbecker, RS, Kulkarni, V, Kumar, N, Kumar, M, Kurmi, OP, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Lasrado, S, Lee, PH, LeGrand, KE, Li, B, Li, S, Liu, X, Amin, HIM, Machado, DB, Madi, D, Magis-Rodriguez, C, Malta, DC, Mansournia, MA, Manzar, MD, Marrugo Arnedo, CA, Martins-Melo, FR, Masoumi, SZ, Mayala, BK, Medina-Solis, CE, Memish, ZA, Mendoza, W, Menezes, RG, Mestrovic, T, Mirica, A, Moazen, B, Mohammad, Y, Mezerji, NMG, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moni, MA, Moradi, M, Moradi, Y, Moradzadeh, R, Moraga, P, Khaneghah, AM, Mustafa, G, Mwanri, L, Nagaraja, R, Nagarajan, AJ, Naimzada, MD, Nascimento, BR, Naveed, M, Nayak, VC, Nazari, J, Negash, H, Negoi, I, Nepal, S, Nguefack-Tsague, G, Nguyen, CT, Nguyen, HLT, Nikbakhsh, R, Noubiap, JJ, Nunez-Samudio, V, Oancea, B, Ogbo, FA, Olagunju, AT, Otstavnov, N, Mahesh, PA, Padubidri, JR, Perumal, SRP, Pardo-Montano, AM, Patel, UK, Pawar, S, Peprah, EK, Pereira, A, Perkins, S, Pescarini, JM, Pokhrel, KN, Postma, MJ, Pottoo, FH, Prada, SI, Preotescu, L, Pribadi, DRA, Radfar, A, Rahim, F, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rathi, P, Rawaf, S, Rawaf, DL, Rawassizadeh, R, Renjith, V, Rezaei, N, Rezapour, A, Ribeiro, AI, Roever, L, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Sarmiento-Suarez, R, Sathian, B, Schaeffer, LE, Schneider, IJC, Seidu, A-A, Sha, F, Shaikh, MA, Sharafi, K, Sheikh, A, Shibuya, K, Shin, JI, Silva, DAS, Singh, JA, Skryabin, VY, Skryabina, AA, Sligar, A, Soheili, A, Steuben, KM, Sufiyan, MB, Tadesse, EG, Tesema, AKT, Tesfay, FH, Thapar, R, Thompson, RL, Tovani-Palone, MR, Tran, BX, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Vasseghian, Y, Violante, FS, Vo, B, Vu, GT, Waheed, Y, Wang, Y-P, Wang, Y, Ward, P, Welay, FT, Westerman, R, Wickramasinghe, ND, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Yuce, D, Yusefzadeh, H, Zamanian, M, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Hay, SI, Dwyer-Lindgren, L, Cork, MA, Henry, NJ, Watson, S, Croneberger, AJ, Baumann, M, Letourneau, ID, Yang, M, Serfes, AL, Abbas, J, Abbasi, N, Abbastabar, H, Abreu, LG, Abu-Gharbieh, E, Achappa, B, Adabi, M, Adal, TG, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ancuceanu, R, Andrei, T, Anvari, D, Aqeel, M, Arabloo, J, Aremu, O, Asaad, M, Atnafu, DD, Atreya, A, Quintanilla, BPA, Azari, S, Darshan, BB, Baig, AA, Banach, M, Bante, SA, Barboza, MA, Basu, S, Bedi, N, Bejarano Ramirez, DF, Bensenor, IM, Beyene, FY, Bezabih, YM, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhutta, ZA, Bijani, A, Birlik, SM, Bitew, ZW, Bohlouli, S, Boloor, A, Brunoni, AR, Butt, ZA, Cardenas, R, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Charan, J, Chatterjee, S, Chattu, VK, Chattu, SK, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Cook, AJ, Cormier, NM, Dahlawi, SMA, Daoud, F, Davila Cervantes, CA, Weaver, ND, De la Hoz, FP, Demeke, FM, Denova-Gutierrez, E, Deribe, K, Deuba, K, Dharmaratne, SD, Dhungana, GP, Diaz, D, Djalalinia, S, Duraes, AR, Eagan, AW, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, Elayedath, R, El-Jaafary, SI, Faraon, EJA, Faro, A, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gebremariam, TBB, Gebremedhin, KB, Gebremeskel, GG, Gesesew, HA, Ghadiri, K, Ghashghaee, A, Gilani, SA, Golechha, M, Gori, U, Goulart, AC, Goulart, BNG, Gugnani, HC, Guimaraes, MDC, Guimaraes, RA, Guo, Y, Gupta, R, Haeuser, E, Haider, MR, Haile, TG, Haj-Mirzaian, A, Hanif, A, Hargono, A, Hariyani, N, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseinzadeh, M, Househ, M, Hwang, BF, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, MD, Ilic, IM, Iqbal, U, Jahagirdar, D, Jain, V, Jakovljevic, M, Jha, RP, Johnson, KB, Joseph, N, Joukar, F, Kalankesh, LR, Kalhor, R, Kanchan, T, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Keramati, M, Khalid, N, Khan, EA, Khan, G, Khan, MNN, Khatab, K, Kianipour, N, Kim, YJ, Kisa, S, Kisa, A, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kuchenbecker, RS, Kulkarni, V, Kumar, N, Kumar, M, Kurmi, OP, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Lasrado, S, Lee, PH, LeGrand, KE, Li, B, Li, S, Liu, X, Amin, HIM, Machado, DB, Madi, D, Magis-Rodriguez, C, Malta, DC, Mansournia, MA, Manzar, MD, Marrugo Arnedo, CA, Martins-Melo, FR, Masoumi, SZ, Mayala, BK, Medina-Solis, CE, Memish, ZA, Mendoza, W, Menezes, RG, Mestrovic, T, Mirica, A, Moazen, B, Mohammad, Y, Mezerji, NMG, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moni, MA, Moradi, M, Moradi, Y, Moradzadeh, R, Moraga, P, Khaneghah, AM, Mustafa, G, Mwanri, L, Nagaraja, R, Nagarajan, AJ, Naimzada, MD, Nascimento, BR, Naveed, M, Nayak, VC, Nazari, J, Negash, H, Negoi, I, Nepal, S, Nguefack-Tsague, G, Nguyen, CT, Nguyen, HLT, Nikbakhsh, R, Noubiap, JJ, Nunez-Samudio, V, Oancea, B, Ogbo, FA, Olagunju, AT, Otstavnov, N, Mahesh, PA, Padubidri, JR, Perumal, SRP, Pardo-Montano, AM, Patel, UK, Pawar, S, Peprah, EK, Pereira, A, Perkins, S, Pescarini, JM, Pokhrel, KN, Postma, MJ, Pottoo, FH, Prada, SI, Preotescu, L, Pribadi, DRA, Radfar, A, Rahim, F, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rathi, P, Rawaf, S, Rawaf, DL, Rawassizadeh, R, Renjith, V, Rezaei, N, Rezapour, A, Ribeiro, AI, Roever, L, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Sarmiento-Suarez, R, Sathian, B, Schaeffer, LE, Schneider, IJC, Seidu, A-A, Sha, F, Shaikh, MA, Sharafi, K, Sheikh, A, Shibuya, K, Shin, JI, Silva, DAS, Singh, JA, Skryabin, VY, Skryabina, AA, Sligar, A, Soheili, A, Steuben, KM, Sufiyan, MB, Tadesse, EG, Tesema, AKT, Tesfay, FH, Thapar, R, Thompson, RL, Tovani-Palone, MR, Tran, BX, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Vasseghian, Y, Violante, FS, Vo, B, Vu, GT, Waheed, Y, Wang, Y-P, Wang, Y, Ward, P, Welay, FT, Westerman, R, Wickramasinghe, ND, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Yuce, D, Yusefzadeh, H, Zamanian, M, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Hay, SI, and Dwyer-Lindgren, L

Abstract

BACKGROUND: Human immunodeficiency virus (HIV) remains a public health priority in Latin America. While the burden of HIV is historically concentrated in urban areas and high-risk groups, subnational estimates that cover multiple countries and years are missing. This paucity is partially due to incomplete vital registration (VR) systems and statistical challenges related to estimating mortality rates in areas with low numbers of HIV deaths. In this analysis, we address this gap and provide novel estimates of the HIV mortality rate and the number of HIV deaths by age group, sex, and municipality in Brazil, Colombia, Costa Rica, Ecuador, Guatemala, and Mexico. METHODS: We performed an ecological study using VR data ranging from 2000 to 2017, dependent on individual country data availability. We modeled HIV mortality using a Bayesian spatially explicit mixed-effects regression model that incorporates prior information on VR completeness. We calibrated our results to the Global Burden of Disease Study 2017. RESULTS: All countries displayed over a 40-fold difference in HIV mortality between municipalities with the highest and lowest age-standardized HIV mortality rate in the last year of study for men, and over a 20-fold difference for women. Despite decreases in national HIV mortality in all countries-apart from Ecuador-across the period of study, we found broad variation in relative changes in HIV mortality at the municipality level and increasing relative inequality over time in all countries. In all six countries included in this analysis, 50% or more HIV deaths were concentrated in fewer than 10% of municipalities in the latest year of study. In addition, national age patterns reflected shifts in mortality to older age groups-the median age group among decedents ranged from 30 to 45 years of age at the municipality level in Brazil, Colombia, and Mexico in 2017. CONCLUSIONS: Our subnational estimates of HIV mortality revealed significant spatial variation and divergi

Published
2021

29. Measuring routine childhood vaccination coverage in 204 countries and territories, 1980-2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1

Author

Galles, NC, Liu, PY, Updike, RL, Fullman, N, Nguyen, J, Rolfe, S, Sbarra, AN, Schipp, MF, Marks, A, Abady, GG, Abbas, KM, Abbasi, SW, Abbastabar, H, Abd-Allah, F, Abdoli, A, Abolhassani, H, Abosetugn, AE, Adabi, M, Adamu, AA, Adetokunboh, OO, Adnani, QES, Advani, SM, Afzal, S, Aghamir, SMK, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, S, Ahmed, H, Ahmed, MB, Rashid, TA, Salih, YA, Akalu, Y, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Albano, L, Alemayehu, Y, Alene, KA, Al-Eyadhy, A, Alhassan, RK, Ali, L, Aljunid, SM, Almustanyir, S, Altirkawi, KA, Alvis-Guzman, N, Amu, H, Andrei, CL, Andrei, T, Ansar, A, Ansari-Moghaddam, A, Antonazzo, IC, Antony, B, Arabloo, J, Arab-Zozani, M, Artanti, KD, Arulappan, J, Awan, AT, Awoke, MA, Ayza, MA, Azarian, G, Azzam, AY, Darshan, BB, Babar, Z-U-D, Balakrishnan, S, Banach, M, Bante, SA, Barnighausen, TW, Barqawi, HJ, Barrow, A, Bassat, Q, Bayarmagnai, N, Ramirez, DFB, Bekuma, TT, Belay, HG, Belgaumi, UI, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Boloor, A, Braithwaite, D, Buonsenso, D, Butt, ZA, Camargos, P, Carreras, G, Carvalho, F, Castaneda-Orjuela, CA, Chakinala, RC, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chowdhury, FR, Christopher, DJ, Chu, D-T, Chung, S-C, Cortesi, PA, Costa, VM, Couto, RAS, Dadras, O, Dagnew, AB, Dagnew, B, Dai, X, Dandona, L, Dandona, R, De Neve, J-W, Molla, MD, Derseh, BT, Desai, R, Desta, AA, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Dorostkar, F, Edem, B, Edinur, HA, Eftekharzadeh, S, El Sayed, I, Zaki, MES, Elhadi, M, El-Jaafary, S, Elsharkawy, A, Enany, S, Erkhembayar, R, Esezobor, CI, Eskandarieh, S, Ezeonwumelu, IJ, Ezzikouri, S, Fares, J, Faris, PS, Feleke, BE, Ferede, TY, Fernandes, E, Fernandes, JC, Ferrara, P, Filip, I, Fischer, F, Francis, MR, Fukumoto, T, Gad, MM, Gaidhane, S, Gallus, S, Garg, T, Geberemariyam, BS, Gebre, T, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Gessner, BD, Ghadiri, K, Ghafourifard, M, Ghashghaee, A, Gilani, SA, Glavan, I-R, Glushkova, EV, Golechha, M, Gonfa, KB, Gopalani, SV, Goudarzi, H, Gubari, MIM, Guo, Y, Gupta, VB, Gupta, VK, Gutierrez, RA, Haeuser, E, Halwani, R, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hashi, A, Hassan, S, Hassanein, MH, Hassanipour, S, Hassankhani, H, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Hezam, K, Holla, R, Hoque, ME, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hsieh, VC-R, Huang, J, Humayun, A, Hussain, R, Hussein, NR, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Iqbal, U, Irham, LM, Irvani, SSN, Islam, SMS, Ismail, NE, Itumalla, R, Jha, RP, Joukar, F, Kabir, A, Kabir, Z, Kalhor, R, Kamal, Z, Kamande, SM, Kandel, H, Karch, A, Kassahun, G, Kassebaum, NJ, Katoto, PD, Kelkay, B, Kengne, AP, Khader, YS, Khajuria, H, Khalil, IA, Khan, EA, Khan, G, Khan, J, Khan, M, Ab Khan, M, Khang, Y-H, Khoja, AT, Khubchandani, J, Kim, GR, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Korshunov, VA, Kosen, S, Defo, BK, Kulkarni, V, Kumar, A, Kumar, GA, Kumar, N, Kwarteng, A, La Vecchia, C, Lami, FH, Landires, I, Lasrado, S, Lassi, ZS, Lee, H, Lee, YY, Levi, M, Lewycka, S, Li, S, Liu, X, Lobo, SW, Lopukhov, PD, Lozano, R, Saute, RL, Razek, MMAE, Makki, A, Malik, AA, Mansour-Ghanaei, F, Mansournia, MA, Mantovani, LG, Martins-Melo, FR, Matthews, PC, Medina, JRC, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mersha, AG, Mesregah, MK, Mestrovic, T, Miazgowski, B, Milne, GJ, Mirica, A, Mirrakhimov, EM, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohamed, TA, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, A, Mohammed, S, Mohapatra, A, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Al Montasir, A, Moore, CE, Moradi, G, Moradzadeh, R, Moraga, P, Mueller, UO, Munro, SB, Naghavi, M, Naimzada, MD, Naveed, M, Nayak, BP, Negoi, I, Kandel, SN, Nguyen, TH, Nikbakhsh, R, Ningrum, DNA, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Ochir, C, Ogbo, FA, Olagunju, AT, Olakunde, BO, Onwujekwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Padubidri, JR, Pakshir, K, Park, E-C, Kan, FP, Pathak, M, Paudel, R, Pawar, S, Pereira, J, Peres, MFP, Perianayagam, A, Pinheiro, M, Pirestani, M, Podder, V, Polibin, R, Pollok, RCG, Postma, MJ, Pottoo, FH, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rahman, M, Rahmani, AM, Rahmawaty, S, Rajesh, A, Ramshaw, RE, Ranasinghe, P, Rao, CR, Rao, SJ, Rathi, P, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, N, Rezai, MS, Rios-Blancas, M, Rogowski, ELB, Ronfani, L, Rwegerera, GM, Saad, AM, Sabour, S, Saddik, B, Saeb, MR, Saeed, U, Sahebkar, A, Sahraian, MA, Salam, N, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sanmarchi, F, Santric-Milicevic, MM, Sartorius, B, Sarveazad, A, Sathian, B, Sawhney, M, Saxena, D, Saxena, S, Seidu, A-A, Seylani, A, Shaikh, MA, Shamsizadeh, M, Shetty, PH, Shigematsu, M, Shin, JI, Sidemo, NB, Singh, A, Singh, JA, Sinha, S, Skryabin, VY, Skryabina, AA, Soheili, A, Tadesse, EG, Tamiru, AT, Tan, K-K, Tekalegn, Y, Temsah, M-H, Thakur, B, Thapar, R, Thavamani, A, Tobe-Gai, R, Tohidinik, HR, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathi, M, Tsegaye, B, Tsegaye, GW, Ullah, A, Ullah, S, Unim, B, Vacante, M, Velazquez, DZ, Vo, B, Vollmer, S, Giang, TV, Linh, GV, Waheed, Y, Winkler, AS, Wiysonge, CS, Yigit, V, Yirdaw, BW, Yon, DK, Yonemoto, N, Yu, C, Yuce, D, Yunusa, I, Zamani, M, Zamanian, M, Zewdie, DT, Zhang, Z-J, Zhong, C, Zumla, A, Murray, CJL, Lim, SS, Mosser, JF, Galles, NC, Liu, PY, Updike, RL, Fullman, N, Nguyen, J, Rolfe, S, Sbarra, AN, Schipp, MF, Marks, A, Abady, GG, Abbas, KM, Abbasi, SW, Abbastabar, H, Abd-Allah, F, Abdoli, A, Abolhassani, H, Abosetugn, AE, Adabi, M, Adamu, AA, Adetokunboh, OO, Adnani, QES, Advani, SM, Afzal, S, Aghamir, SMK, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, S, Ahmed, H, Ahmed, MB, Rashid, TA, Salih, YA, Akalu, Y, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Albano, L, Alemayehu, Y, Alene, KA, Al-Eyadhy, A, Alhassan, RK, Ali, L, Aljunid, SM, Almustanyir, S, Altirkawi, KA, Alvis-Guzman, N, Amu, H, Andrei, CL, Andrei, T, Ansar, A, Ansari-Moghaddam, A, Antonazzo, IC, Antony, B, Arabloo, J, Arab-Zozani, M, Artanti, KD, Arulappan, J, Awan, AT, Awoke, MA, Ayza, MA, Azarian, G, Azzam, AY, Darshan, BB, Babar, Z-U-D, Balakrishnan, S, Banach, M, Bante, SA, Barnighausen, TW, Barqawi, HJ, Barrow, A, Bassat, Q, Bayarmagnai, N, Ramirez, DFB, Bekuma, TT, Belay, HG, Belgaumi, UI, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Boloor, A, Braithwaite, D, Buonsenso, D, Butt, ZA, Camargos, P, Carreras, G, Carvalho, F, Castaneda-Orjuela, CA, Chakinala, RC, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chowdhury, FR, Christopher, DJ, Chu, D-T, Chung, S-C, Cortesi, PA, Costa, VM, Couto, RAS, Dadras, O, Dagnew, AB, Dagnew, B, Dai, X, Dandona, L, Dandona, R, De Neve, J-W, Molla, MD, Derseh, BT, Desai, R, Desta, AA, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Dorostkar, F, Edem, B, Edinur, HA, Eftekharzadeh, S, El Sayed, I, Zaki, MES, Elhadi, M, El-Jaafary, S, Elsharkawy, A, Enany, S, Erkhembayar, R, Esezobor, CI, Eskandarieh, S, Ezeonwumelu, IJ, Ezzikouri, S, Fares, J, Faris, PS, Feleke, BE, Ferede, TY, Fernandes, E, Fernandes, JC, Ferrara, P, Filip, I, Fischer, F, Francis, MR, Fukumoto, T, Gad, MM, Gaidhane, S, Gallus, S, Garg, T, Geberemariyam, BS, Gebre, T, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Gessner, BD, Ghadiri, K, Ghafourifard, M, Ghashghaee, A, Gilani, SA, Glavan, I-R, Glushkova, EV, Golechha, M, Gonfa, KB, Gopalani, SV, Goudarzi, H, Gubari, MIM, Guo, Y, Gupta, VB, Gupta, VK, Gutierrez, RA, Haeuser, E, Halwani, R, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hashi, A, Hassan, S, Hassanein, MH, Hassanipour, S, Hassankhani, H, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Hezam, K, Holla, R, Hoque, ME, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hsieh, VC-R, Huang, J, Humayun, A, Hussain, R, Hussein, NR, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Iqbal, U, Irham, LM, Irvani, SSN, Islam, SMS, Ismail, NE, Itumalla, R, Jha, RP, Joukar, F, Kabir, A, Kabir, Z, Kalhor, R, Kamal, Z, Kamande, SM, Kandel, H, Karch, A, Kassahun, G, Kassebaum, NJ, Katoto, PD, Kelkay, B, Kengne, AP, Khader, YS, Khajuria, H, Khalil, IA, Khan, EA, Khan, G, Khan, J, Khan, M, Ab Khan, M, Khang, Y-H, Khoja, AT, Khubchandani, J, Kim, GR, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Korshunov, VA, Kosen, S, Defo, BK, Kulkarni, V, Kumar, A, Kumar, GA, Kumar, N, Kwarteng, A, La Vecchia, C, Lami, FH, Landires, I, Lasrado, S, Lassi, ZS, Lee, H, Lee, YY, Levi, M, Lewycka, S, Li, S, Liu, X, Lobo, SW, Lopukhov, PD, Lozano, R, Saute, RL, Razek, MMAE, Makki, A, Malik, AA, Mansour-Ghanaei, F, Mansournia, MA, Mantovani, LG, Martins-Melo, FR, Matthews, PC, Medina, JRC, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mersha, AG, Mesregah, MK, Mestrovic, T, Miazgowski, B, Milne, GJ, Mirica, A, Mirrakhimov, EM, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohamed, TA, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, A, Mohammed, S, Mohapatra, A, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Al Montasir, A, Moore, CE, Moradi, G, Moradzadeh, R, Moraga, P, Mueller, UO, Munro, SB, Naghavi, M, Naimzada, MD, Naveed, M, Nayak, BP, Negoi, I, Kandel, SN, Nguyen, TH, Nikbakhsh, R, Ningrum, DNA, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Ochir, C, Ogbo, FA, Olagunju, AT, Olakunde, BO, Onwujekwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Padubidri, JR, Pakshir, K, Park, E-C, Kan, FP, Pathak, M, Paudel, R, Pawar, S, Pereira, J, Peres, MFP, Perianayagam, A, Pinheiro, M, Pirestani, M, Podder, V, Polibin, R, Pollok, RCG, Postma, MJ, Pottoo, FH, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rahman, M, Rahmani, AM, Rahmawaty, S, Rajesh, A, Ramshaw, RE, Ranasinghe, P, Rao, CR, Rao, SJ, Rathi, P, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, N, Rezai, MS, Rios-Blancas, M, Rogowski, ELB, Ronfani, L, Rwegerera, GM, Saad, AM, Sabour, S, Saddik, B, Saeb, MR, Saeed, U, Sahebkar, A, Sahraian, MA, Salam, N, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sanmarchi, F, Santric-Milicevic, MM, Sartorius, B, Sarveazad, A, Sathian, B, Sawhney, M, Saxena, D, Saxena, S, Seidu, A-A, Seylani, A, Shaikh, MA, Shamsizadeh, M, Shetty, PH, Shigematsu, M, Shin, JI, Sidemo, NB, Singh, A, Singh, JA, Sinha, S, Skryabin, VY, Skryabina, AA, Soheili, A, Tadesse, EG, Tamiru, AT, Tan, K-K, Tekalegn, Y, Temsah, M-H, Thakur, B, Thapar, R, Thavamani, A, Tobe-Gai, R, Tohidinik, HR, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathi, M, Tsegaye, B, Tsegaye, GW, Ullah, A, Ullah, S, Unim, B, Vacante, M, Velazquez, DZ, Vo, B, Vollmer, S, Giang, TV, Linh, GV, Waheed, Y, Winkler, AS, Wiysonge, CS, Yigit, V, Yirdaw, BW, Yon, DK, Yonemoto, N, Yu, C, Yuce, D, Yunusa, I, Zamani, M, Zamanian, M, Zewdie, DT, Zhang, Z-J, Zhong, C, Zumla, A, Murray, CJL, Lim, SS, and Mosser, JF

Abstract

BACKGROUND: Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. METHODS: For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. FINDINGS: By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4-82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5-42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4-41·3] in 1980 to 83·6% [82·3-84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4-44·1) in 1980 to 79·8% (78·4-81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019

Published
2021

31. HIV-Related Knowledge among PLWHA Attending a Tertiary Care Hospital at Coastal South India—A Facility-Based Study

Author

Banagi Yathiraj, Arjun, primary, Unnikrishnan, Bhaskaran, additional, Ramapuram, John T., additional, Thapar, Rekha, additional, Mithra, Prasanna, additional, Madi, Deepak, additional, Kumar, Nithin, additional, Kulkarni, Vaman, additional, Holla, Ramesh, additional, Ambalavanan, Jayachidambaram, additional, and Darshan, BB, additional

Published
2017
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32. Profile of cervical cancer patients attending Tertiary Care Hospitals of Mangalore, Karnataka: A 4 year retrospective study

Author

Kulkarni, Vaman, primary, Sharma, Aadhya, additional, Bhaskaran, Unnikrishnan, additional, Singha, Meher, additional, Mujtahedi, Saad, additional, Chatrath, Anshul, additional, Sridhar, Mallika, additional, Thapar, Rekha, additional, Mithra, PPrasanna, additional, Kumar, Nithin, additional, Holla, Ramesh, additional, Darshan, BB, additional, and Kumar, Avinash, additional

Published
2017
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33. Diabetic Peripheral Neuropathy and Its Determinants among Patients Attending A Tertiary Health Care Centre in Mangalore, India

Author

D'Souza, Monisha, primary, Kulkarni, Vaman, additional, Bhaskaran, Unnikrishnan, additional, Ahmed, Humam, additional, Naimish, Hegde, additional, Prakash, Anjali, additional, Tabreez, S, additional, Dahiya, Bhanu, additional, Thapar, Rekha, additional, Mithra, Prasanna, additional, Kumar, Nithin, additional, Holla, Ramesh, additional, Darshan, BB, additional, and Kumar, Avinash, additional

Published
2015
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38. Effectiveness of School-Based Interventions in Reducing Unintentional Childhood Injuries: A Cluster Randomized Trial.

Author

Holla R, Darshan BB, Unnikrishnan B, Kumar N, Sinha A, Thapar R, Mithra PP, Kulkarni V, Ganapathy A, and Kotian H

Subjects
Child, Female, Humans, India epidemiology, Pregnancy, Surveys and Questionnaires, Schools, Students
Abstract

Objective: To evaluate the effectiveness of school-based interventions in promoting child safety and reducing unintentional childhood injuries., Methods: This cluster randomized trial with 1:1 allocation of clusters to intervention and control arm was conducted in the public and private schools of Dakshina Kannada district, Karnataka, over a period of 10 months. Study participants included children from standard 5-7 in schools selected for the study. 10 schools that could accommodate 1100 students each, were randomly allocated to the interventional and control arm. A comprehensive child safety and injury prevention module was developed based on the opinions of school teachers through focus group discussions. This module was periodically taught to the students of intervention arm by the teachers. The children in control arm did not receive any intervention. Outcome was assessed by determining the incidence of unintentional injuries and type of injuries from the questionnaire used at the baseline, and at the end of three, six, and ten months., Results: Unintentional injuries declined progressively from baseline until the end of the study in both the interventional arm (from 52.9% to 2.5%) and control arm (from 44.7% to 32%) [AOR (95% CI) 0.458 (0.405-0.518); P value <0.001]. The decline in incidence of injuries in the interventional arm was higher than that in the control arm (50.4% vs 12.7%; P <0.001)., Conclusions: School based educational intervention using child safety and injury prevention modules is effective in reducing unintentional injuries among school children over a 10-month period.

Published
2021

39. Clinico-Epidemiological Profile of Children Orphaned due to AIDS Residing in Care Giving Institutions in Coastal South India.

Author

Thapar R, Singha M, Kumar N, Mithra P, Unnikrishnan B, Holla R, Kulkarni V, Darshan BB, and Kumar A

Abstract

Background: HIV/AIDS has a greater impact on children. Besides being orphaned by the untimely demise of one or both parents due to the disease, these children are more prone for discrimination by the society., Methods: In this cross-sectional study 86 children orphaned by AIDS residing in care giving institutions for HIV positive children in Mangalore were assessed for their clinico-epidemiological profile and nutritional status. Institutional Ethics Committee clearance was obtained before the commencement of the study. The collected data were analyzed using SPSS (Statistical Package for Social Sciences) version 11.5 and the results expressed in mean (standard deviation) and proportions. BMI was calculated and nutritional status assessed using WHO Z scores (BMI for Age) for children between 5 and 19 years separately for boys and girls., Results: The mean age of the children was 13.2 ± 3 years. Majority ( n = 56, 65.1%) of the children were double orphans. Most of the children orphaned by AIDS ( n = 78, 90.7%) had a history of both the parents being HIV positive. The median CD4 count of participants at the time of our study was 853.5 (IQR 552-1092) cells/microliter. A higher percentage of orphans were malnourished compared to nonorphans. (41.1% vs. 36.7%). All the educational institutions, wherein the children orphaned by AIDS were enrolled, were aware about their HIV status. Five of the participants felt discriminated in their schools. Only two of the participants felt discriminated by their friends because of their HIV status., Conclusion: From our study we draw conclusion that even though the children orphaned due to AIDS are rehabilitated in terms of having shelter and provision of education and health care, much needs to be done in terms of improving the nutritional status of these children and alleviating the discriminatory attitude of the society towards them., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2019 Rekha Thapar et al.)

Published
2019
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40. Colorectal Cancer: How Familiar Are Our Future Doctors with the Cancer of Tomorrow?

Author

Kulkarni V, Darshan BB, Unnikrishnan B, Cheng KC, Hui GC, Theng AY, Yuien KS, Thapar R, Mithra P, Kumar N, Holla R, and Kumar A

Subjects
Cross-Sectional Studies, Early Detection of Cancer, Female, Humans, India, Male, Colorectal Neoplasms diagnosis, Colorectal Neoplasms therapy, Health Knowledge, Attitudes, Practice, Physicians
Abstract

Background: Colorectal cancer (CRC) is one of the common cancers affecting both genders. Although the incidence of CRC is low in India there has been an increase in the past few decades., Objective: To assess the awareness regarding colorectal cancer and its screening among medical students and interns., Methods: This cross-sectional study was conducted among 290 participants (final year medical students and interns) from Kasturba Medical College, Mangalore. A pretested semistructured questionnaire was used to collect information. Data was analyzed using SPSS 17.0., Results: Majority of participants had satisfactory knowledge regarding CRC. 38% of them scored excellently, 64.8% had good knowledge, and 5.2% scored poorly. Knowledge regarding CRC symptoms was good (95%). 92% of the participants were aware of risk factors of CRC. Only 49% of the participants identified FOBT as a screening tool and 30.7% participants knew that 50 years is the recommended age to begin CRC screening. Interns and international students had better knowledge than final year medical students and Indian students and this was found to be statistically significant., Conclusion: There is a need to improve participant's knowledge regarding CRC screening although majority of them are aware of CRC symptoms and risk factors.

Published
2018
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41. Snacking Behaviour and Its Determinants among College-Going Students in Coastal South India.

Author

Mithra P, Unnikrishnan B, Thapar R, Kumar N, Hegde S, Mangaldas Kamat A, Kulkarni V, Holla R, Darshan BB, Tanuj K, Guddattu V, and Kumar A

Abstract

Background: Consumption of snacks in between the regular meals is a poor snacking behaviour. It is an established risk factor for several lifestyle-related disorders and has long-term effects among the younger individuals., Objectives: To study the snacking behaviour and to assess their determinants among college-going students., Methods: This cross-sectional study was conducted among 865 college-going students in Mangaluru. Data were collected using a pretested pro forma that was coded and analyzed using Statistical Package for Social Sciences (SPSS) version 11.5. The chi-square test and random-effect logistic regression analyses were used., Results: Overall, there were 52.4% females and 47.6% males, and 76.8% of them were aged <20 years. More than half of the participants (54.3%) had the habit of snacking in between regular meals. Among them, a large proportion (78.7%) did not have any specific timings for snacking. Also, 51.1% of the students were snacking while watching TV, and 31.9% of them snacked while studying. Breakfast was the most commonly skipped meal (26.2%); of those missing the breakfast regularly, 123 (71.9%) had poor snacking behaviour. A significantly larger proportion of males had a higher frequency of snacking per day (69.3% versus 57.2%, p < 0.0001) and consumed aerated drinks more frequently (22.6% versus 15.8%, p =0.011), skipped meals more often (58.6% versus 50.6%, p =0.022), and preferred adding fruits in snacks (78.1% versus 69.4%, p =0.005). Snacking frequency was proportionately higher among students of private colleges (73.6%) than that in the government colleges (55.1%). Participants from nonscience stream, nonvegetarians, and those with a tendency to skip the regular meals had significantly higher levels of poor snacking behaviour., Conclusions: The study population had a high level of poor snacking behaviour. Appropriate measures are needed among younger people to follow fixed eating patterns and avoid skipping of regular meals.

Published
2018
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42. Profile of cervical cancer patients attending Tertiary Care Hospitals of Mangalore, Karnataka: A 4 year retrospective study.

Author

Sharma A, Kulkarni V, Bhaskaran U, Singha M, Mujtahedi S, Chatrath A, Sridhar M, Thapar R, Mithra PP, Kumar N, Holla R, Darshan BB, and Kumar A

Abstract

Objectives: To describe the sociodemographic characteristics and clinical profile of women presenting with cervical carcinoma and to identify factors associated with the timing of presentation and prognosis., Materials and Methods: A record-based descriptive study was carried out from 1 st February to 31 st March 2014 at Tertiary Care Hospitals of Mangalore. The study population included women who were diagnosed with cervical carcinoma from January 1, 2010 to December 31, 2013. A pretested data extraction sheet aimed at collecting information from the inpatient records was used as the study instrument. The collected data were entered and analyzed using SPSS version 16.0., Results: A total of 227 patients were included in the study. Mean (Standard Deviation) age of diagnosis of cervical cancer was found to be 55 ± 11 years. Majority of the women were Hindus (88.5%) and 51.0% of the women had occupational activities out of which manual labor was the most common. Forty-eight percent of the patients presented in the late stages. Squamous cell carcinoma was found to be the most common histological type. It was also observed that a slightly higher proportion of women with an age >49 years presented in late stages of the disease ( n = 70, 48.6%) compared to women <49 years of age ( n = 28, 46.7%); however, the difference was not statistically significant ( P = 0.800)., Conclusions: Our study found out a higher proportion of late presentation by the patients. It emphasizes the need for the development and implementation of an efficient screening cum prevention program for cervical cancer and to continue active research in the domains of identifying all possible risk factors and steps to mitigate them., Competing Interests: There are no conflicts of interest.

Published
2017
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43. Perceptions and knowledge toward mobile-health among the college going students in Coastal South India.

Author

Parthaje PM, Unnikrishnan B, Thapar R, Kumar N, Panikulam EJ, Geroge E, Pai P, Kulkarni V, Holla R, Darshan BB, Kumar A, Mehta R, and Jay R

Abstract

Background: Among the manifold uses of mobile phones, mobile-health (mHealth) has been an important one, which is the practice of public health initiatives by awareness raising and communication campaigns. Optimum utilization of mHealth is possible only through adequate awareness. Hence, we aimed to study the perceptions and knowledge about mHealth among college going students in Mangalore, India., Materials and Methods: A cross-sectional study was conducted in March 2014 among 627 students in selected engineering (302 students) and medical colleges (325 students) in Mangalore, India. Colleges were selected using convenience sampling (nonrandom) method. Data were collected using semi-structured self-administered questionnaire and analyzed., Results: Overall, 48.9% were males, 61.4% belonged to 18-20 years age group. The awareness about mobile phone health utilities among medical and engineering students was found to be similar. Among those who were aware of the concept of mHealth (74 [11.2%]), 40 (54.1%) were medical students. Marginally higher proportion of medical students felt mHealth could be helpful in protecting the patients' confidentiality and would help in better communication with the patients., Conclusion: There was high level of general awareness about mHealth among the subjects. However, many specific areas had limited knowledge among both the streams of students, hence highlighting the need for increasing awareness and sensitization.

Published
2016
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44. Clinico-Epidemiological Profile of Snakebite Cases Admitted in a Tertiary Care Centre in South India: A 5 Years Study.

Author

Thapar R, Darshan BB, Unnikrishnan B, Mithra P, Kumar N, Kulkarni V, Holla R, Kumar A, and Kanchan T

Abstract

Objectives: This study was conducted to assess the clinic-epidemiological profile of snakebite cases admitted at a Tertiary Care Centre in South India., Materials and Methods: A record based retrospective study was carried out at Kasturbha Medical College affiliated hospitals in Mangalore. All the snakebite cases admitted to the hospitals from January 2007 to December 2011 were included in the study. Data were collected using a pretested semi-structured questionnaire and analyzed using Statistical Package for Social Sciences (SPSS version 11.5). The results are expressed as percentages., Results: The study included 198 cases of snakebite victims. The majority of the cases were males (68.2%). The mean age of the study population was 34.8 years. Maximum numbers of snakebite cases were reported during the month of September to December (47.9%). The peak time of snakebite was between 18.01 and 24.00 h which was reported in 40.5% of the cases. Lower extremities were the most common site of bite in more than three-fourth of the cases (80.9%). The most common symptoms were a pain (45.9%) and swelling (44.9%). The case fatality rate was observed to be 3.0%., Conclusion: Snakebite still remains a major public health problem in this part of the world. Knowledge must be imparted regarding the prevention of snakebites through community health programs. Messages regarding prompt reporting of such cases and importance of effective treatment must be disseminated among people through mass media and role plays.

Published
2015
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45. Awareness and Attitudes Regarding Prenatal Sex Determination, Pre-Conception and Pre-Natal Diagnostic Techniques Act (PCPNDTA) among Pregnant Women in Southern India.

Author

Kumar N, Darshan BB, Unnikrishnan B, Kanchan T, Thapar R, Mithra P, Kulkarni V, and Holla R

Abstract

Objectives: The present study was conducted to assess the awareness and attitude regarding prenatal sex determination and Pre-conception and Pre-natal Diagnostic techniques Act among pregnant women., Materials and Methods: A cross sectional study was carried at tertiary care teaching hospitals of Kasturba Medical College in Mangalore, India among 132 pregnant women. Data was collected using a pre-tested semi-structured questionnaire and was analysed using Statistical Package for Social Sciences(SPSS) version 11.5 and results were expressed in percentages., Results: The study included 132 participants and the mean age of study subjects was around 27 y. Majority of the study subjects (91.7%) knew that prenatal sex determination was possible. Three fourth (74.4%) of the participants prenatal sex determination was a punishable offence. One of the participants was ready to terminate pregnancy if sex of the fetus was revealed to be female before second trimester. Majority of participants (67.4%) were willing to educate people about PCPNDT act and motivate them against sex determination and sex selective abortions., Conclusion: Our study showed that higher proportion of participants knew about the prenatal sex determination and it was a punishable offence, still majority of them preferred to know the sex of unborn child which shows the need to implement the act effectively.

Published
2014
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46. Profile of women seeking medical termination of pregnancy in South India.

Author

Holla R, Kanchan T, Unnikrishnan B, Kotian MS, Kumar N, Thapar R, Mithra P, Papanna MK, Kulkarni V, and Darshan BB

Subjects
Adolescent, Adult, Contraception statistics & numerical data, Female, Hospitals, Teaching, Humans, India, Pregnancy, Pregnancy Trimester, First, Pregnancy, Unplanned, Registries, Retrospective Studies, Young Adult, Abortion, Induced statistics & numerical data, Contraception methods, Family Planning Services methods
Abstract

Objective: To investigate the demographic and obstetric profile of women seeking medical termination of pregnancy (MTP) in South India in accordance with the MTP Act of India., Methods: A registry-based retrospective study was carried out at a tertiary care teaching hospital in South India. The hospital records of all pregnant women seeking MTP over a 2-year period between January 2011 and December 2012 were reviewed., Results: A total of 244 women underwent MTP during the study period. More than one-third (37.8%) were aged between 26 and 30 years. The majority of women underwent MTP during the first trimester (79.5%). Medical reasons were cited as the most common reason for undergoing MTP (39.3%), followed by unplanned pregnancy (34.8%). The majority of women were seeking MTP for the first time (84.8%). More than half of the women (52.9%) opted for post-MTP contraception., Conclusion: MTP for unplanned pregnancy can be prevented if people are well informed about methods of contraception. MTP is an opportunity for healthcare professionals to discuss fertility needs and need for contraception with women seeking MTP so that appropriate decisions can be taken for suitable family planning., (Copyright © 2014 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.)

Published
2014
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47. Practice of Physical Activity among Future Doctors: A Cross Sectional Analysis.

Author

Rao CR, Darshan B, Das N, Rajan V, Bhogun M, and Gupta A

Abstract

Background: Non communicable diseases (NCD) will account for 73% of deaths and 60% of the global disease burden by 2020. Physical activity plays a major role in the prevention of these non-communicable diseases. The stress involved in meeting responsibilities of becoming a physician may adversely affect the exercise habits of students. So, the current study aimed to study the practice of physical activity among undergraduate medical students., Methods: A cross sectional study was conducted among 240 undergraduate medical students. Quota sampling method was used to identify 60 students from each of the four even semesters. A pre-tested, semi-structured questionnaire was used to collect the data. Statistical Package for Social Sciences (SPSS) version 16 was used for data entry and analysis and results are expressed as percentages and proportions., Results: In our study, 55% were 20 to 22 years old. Over half of the students were utilizing the sports facilities provided by the university in the campus. Majority of students 165 (69%) had normal body mass index (BMI), (51) 21% were overweight, while 7 (3%) were obese. Of the 62% who were currently exercising, the practice of physical activity was more among boys as compared to girls (62% v/s 38%). Lack of time 46 (60.5%), laziness (61.8%), and exhaustion from academic activities (42%) were identified as important hindering factors among medical students who did not exercise., Conclusion: A longitudinal study to follow-up student behavior throughout their academic life is needed to identify the factors promoting the practice of physical activity among students.

Published
2012

48. Risk factors for under-nutrition among children aged one to five years in Udupi taluk of Karnataka, India: A case control study.

Author

Basit A, Nair S, Chakraborthy K, Darshan B, and Kamath A

Abstract

Background: Despite her apparent economic success, India is plagued by a high burden of under-nutrition among children under five. This study was aimed at understanding some of the risk factors for under-nutrition in a region with favourable maternal and child health indicators., Method: A case control study was carried out among children aged one to five years attending the paediatric outpatient department in six rural health care centres in Udupi taluk of Karnataka in Southern India. A total of 162 children were included in the study, of which 56 were cases. A semi-structured questionnaire was used to interview the caregivers of the children and the nutritional status was graded according to the Indian Academy of Paediatrics (IAP) grading of protein-energy malnutrition., Results: Under-nutrition was associated with illness in the last one month [OR- 4.78 (CI: 1.83 -12.45)], feeding diluted milk [OR-14.26 (CI: 4.65 - 43.68)] and having more than two children with a birth interval ≤2 years [OR- 4.93 (CI: 1.78 - 13.61)]. Lack of exclusive breast feeding, level of education of the caregiver and environmental factors like source of water did not have an association., Conclusion: Childhood illness, short birth interval and consumption of diluted milk were some of the significant contributory factors noted among this population. Information, Education, Communication (IEC) campaigns alleviating food fads and promoting birth spacing is needed.

Published
2012
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