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Background: Anemia is a major public health concern; however, research on anemia and its contributing variables is scarce. To address the gap, we investigated the prevalence and associated factors of anemia in school-aged adolescent girls in rural Bangladesh., Methods: We conducted a cross-sectional study in two secondary schools at Chandpur, Bangladesh, from January to April 2022. We randomly selected 422 adolescent girls based on prevalence rates from existing research to ensure reliable estimates and a robust study representation. We performed interviews with a semi-structured questionnaire after receiving ethical permission and written informed consent. In addition, physical examination and anthropometric measurements were done, followed by blood testing to identify anemia. Blood hemoglobin was measured using a spectrophotometric method, and quality control was ensured by validated results with control samples. Univariate with multiple logistic regression was employed for analysis to find the association between anemia and all other variables that were adjusted to control the potential effect of confounding variables., Results: The overall prevalence of anemia was 37.7% (mild- 33.8% and moderate- 3.9%). In the univariate analysis having a working mother (OR 3.84; 95% CI 1.31-11.26), undernutrition (OR 2.40; 95% CI 1.27-4.52), and irregular lunch consumption (OR 2.15; 95% CI 1.00-4.60) were associated with anemia. Conversely, being a user of a slab latrine (OR 0.61; 95% CI 0.40-0.93) and not weekly consumption of pure milk (OR 0.62; 95% CI 0.41-0.92) were negatively associated with anemia. In multivariate logistic regression analysis, associated factors for prevalent anemia were working mother [adjusted odds ratio (aOR) 7.65; 95% CI 1.97-29.50], slab latrine user (aOR 0.46; 95% CI 0.26-0.79), and irregular lunch consumption (aOR 2.92; 95% CI 1.21-7.03)., Conclusion: The prevalence of anemia among adolescent girls in rural Bangladesh remains high with undernutrition. Anemia is associated with working mothers, slab latrine users, and irregular lunch consumers within the studied population.' Thus, policymakers may promote school-based nutritional education and lunch programs with iron supplementation and improve sanitary facilities., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Rahman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Diabetic foot ulcers are characterized by disturbances in the epidermis and/or a portion of the dermis in patients with the disease. With over a million amputations performed annually, it has also emerged as one of the primary causes of lower limb amputation globally. To better understand the severity and anatomical distribution of ulcerated areas in patients with type II diabetes mellitus, this study aimed to identify the factors associated with diabetic foot ulcers (DFUs). This descriptive cross-sectional study was conducted at M Abdur Rahim Medical College Hospital in Dinajpur, Bangladesh, from July to September 2023. The study population was selected using a purposive sampling technique based on the patients' availability during their usual and regular treatment at MARMCH. Using a Bangla questionnaire data was obtained to evaluate the DFUs, in addition to measuring blood pressure and assessing the affected area's neurological function. The severity of the ulcer is calculated by using the Wagner grading system. Data was analyzed by using STATS v15 and chi-square was applied. A total of 113 DFU patients took part in this study. The mean age in years was 56 ± 12 (SD + mean) and the male proportion was greater (61.9%). Most of them (93.91%) were negligent about foot care and suffered from severe DFU (86.37%). The majority of respondents (57.94%) had a right foot ulcer, of which 94.50% had severe ulcers. Almost all ulcers were severe (86.14%) and measured <5 cm in diameter (69.71%). The results highlight the tremendous burden of DFUs, which can have serious consequences and substantial mental and economic effects on patients' healthcare systems., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: We aimed to evaluate the trend of post-term births over time and their association with perinatal mortality based on prospective pregnancy cohorts in a rural area in Bangladesh., Methods: This cohort study included 72 373 singleton births with gestational ages ≥28 weeks recorded by a health and demographic surveillance system from 1990 to 2019 in Matlab, Bangladesh. We expressed the gestational age as X (weeks) + Y (days)/7 weeks, where X indicated complete weeks, and Y presented the number of completed days out of seven days or a week. Using Poisson regression with robust variances, we estimated the population-based proportion of post-term births and assessed the association between gestational age categories and perinatal mortality. We presented results by adjusted relative risk (aRR) with 95% confidence intervals (CIs)., Results: Post-term births declined from 5.8% in 1990 to 2.8% in 2019. Perinatal mortality declined from 58 to 27 per 1000 births from 1990 to 2019. Compared to full-term births (39 + 0/7 to 40 + 6/7 weeks), the aRRs of perinatal mortality were 1.39 for late-term (41 + 0/7 to 41 + 6/7 weeks) and 1.93 for post-term (≥42 + 0/7 weeks) births. The population-attributable fraction of perinatal mortality was 15% for births at ≥41 + 0/7 weeks out of the total perinatal deaths occurring at ≥39 gestation weeks., Conclusions: In this rural setting in Bangladesh, we observed a decline in post-term birth proportions from 1990 to 2019. We found increased perinatal mortality when pregnancy continued beyond 40 + 6/7 weeks of gestation. This implies that planning the management of pregnant women approaching the post-term period may be needed to further improve perinatal health outcomes., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

There is an increasing global burden from chikungunya virus (CHIKV). Bangladesh reported a major epidemic in 2017, but it was unclear whether there had been prior widespread transmission. We conducted a nationally representative seroprevalence survey in 70 randomly selected communities immediately before the epidemic. We found that 69 of 2938 sampled individuals (2.4%) were seropositive to CHIKV. Seropositivity to dengue virus (adjusted odds ratio, 3.13 [95% confidence interval, 1.86-5.27]), male sex (0.59 [.36-.99]), and community presence of Aedes aegypti mosquitoes (1.80 [1.05-3.0]7) were significantly associated with CHIKV seropositivity. Using a spatial prediction model, we estimated that across the country, 4.99 (95% confidence interval, 4.89-5.08) million people had been previously infected. These findings highlight high population susceptibility before the major outbreak and that previous outbreaks must have been spatially isolated., Competing Interests: Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)

Background: Spina bifida is a type of neural tube defect (NTD); NTDs are developmental malformations of the spinal cord that result from failure of neural tube closure during embryogenesis and are likely caused by interactions between genetic and environmental factors. Arsenic induces NTDs in animal models, and studies demonstrate that mice with genetic defects related to folate metabolism are more susceptible to arsenic's effects. We sought to determine whether 25 single-nucleotide polymorphisms (SNPs) in genes involved in folate and arsenic metabolism modified the associations between maternal arsenic exposure and risk of spina bifida (a common NTD) among a hospital-based case-control study population in Bangladesh., Methods: We used data from 262 mothers and 220 infants who participated in a case‒control study at the National Institutes of Neurosciences & Hospital and Dhaka Shishu Hospital in Dhaka, Bangladesh. Neurosurgeons assessed infants using physical examinations, review of imaging, and we collected histories using questionnaires. We assessed arsenic from mothers' toenails using inductively coupled plasma mass spectrometry (ICP-MS), and we genotyped participants using the Illumina Global Screening Array v1.0. We chose candidate genes and SNPs through a review of the literature. We assessed SNP-environment interactions using interaction terms and stratified models, and we assessed gene-environment interactions using interaction sequence/SNP-set kernel association tests (iSKAT)., Results: The median toenail arsenic concentration was 0.42 μg/g (interquartile range [IQR]: 0.27-0.86) among mothers of cases and 0.47 μg/g (IQR: 0.30-0.97) among mothers of controls. We found an two SNPs in the infants' AS3MT gene (rs11191454 and rs7085104) and one SNP in mothers' DNMT1 gene (rs2228611) were associated with increased odds of spina bifida in the setting of high arsenic exposure (rs11191454, OR 3.01, 95% CI: 1.28-7.09; rs7085104, OR 2.33, 95% CI: 1.20-4.and rs2228611, OR 2.11, 95% CI: 1.11-4.01), along with significant SNP-arsenic interactions. iSKAT analyses revealed significant interactions between mothers' toenail concentrations and infants' AS3MT and MTR genes (p = 0.02), and mothers' CBS gene (p = 0.05)., Conclusions: Our results support the hypothesis that arsenic increases spina bifida risk via interactions with folate and arsenic metabolic pathways and suggests that individuals in the population who have certain genetic polymorphisms in genes involved with arsenic and folate metabolism may be more susceptible than others to the arsenic teratogenicity., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the world's least developed countries (LDCs)., Methods: To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the country's first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country., Results: We detected > 50 virus introductions to the country during the period, including during a period of national lockdown. Additionally, through discrete phylogeographic analyses, we identified that geographical distance and population -density and/or -size influenced virus spatial dispersal in Bangladesh., Conclusions: Overall, this study expands our knowledge of SARS-CoV-2 genomic epidemiology in Bangladesh, shedding light on crucial transmission characteristics within the country, while also acknowledging resemblances and differences to patterns observed in other nations., Competing Interests: Declarations Ethics approval and consent to participate Patient consent for publication: Not applicable. The study was carried out under the ethical approval from the ethical approval committee of Bangladesh Livestock Research Institute, Bangladesh with the reference number BLRI/EA/2020102/2022, and with informed consent from tested individuals. Consent for publication Not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Dried fish holds a significant place in the Bangladeshi diet particularly for people living in coastal regions. However, there is a growing concern regarding its adverse effects on human health, as it contains high levels of illegal preservatives, heavy metals, and other harmful substances. In this study, we aimed to explore the current knowledge, attitudes, and practices regarding health hazards due to unsafe dried fish consumption among people across the country. We conducted a cross-sectional study among consumers to assess their knowledge, attitudes, and practices about the health risks associated with consuming hazardous dried fish. We interviewed a total of 415 participants, of whom 52.8% were male; the majority were students (55.9%), aged between 18 and 30 years (63.9%), and living in urban areas (81.7%). Most of the participants (60.7%) had less accurate knowledge of the health hazards of unsafe dry fish, 92.8% had more positive attitudes to buying safe dry fish, and 26.8% used unsafe dry fish more frequently. Many respondents were unaware of the presence of harmful substances in dried fish, such as illegal pesticides (66.5%), microplastics (77.6%), and heavy metals (67.4%). A significant number of participants (13%) reported that they had a history of cancer in any of their family members. Many individuals (57.4%) were not familiar with the proper storage and preparation methods of dry fish. The majority of participants (81.4%) strongly prefer packed dried fish. Most of the respondents (67.7%) agreed to participate in awareness programs. Female consumers were more likely to have more accurate knowledge (AOR = 1.53; 95% CI = 1.03-2.29, p = 0.0.37) than males, and participants whose present residence were in rural were more likely to have accurate knowledge (AOR = 2.64; 95% CI = 1.30-5.36, p = 0.007) than those whose present residence were in urban or semi-urban areas. A targeted education campaign focused on improving awareness of the risks associated with eating unsafe dry fish is needed, particularly in coastal areas., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Rahat et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Bangladesh has made an intense effort to improve maternal healthcare facilities including facility delivery, but the number of home deliveries is still very high. Therefore, this study aims to find out district-wise prevalence and determine the individual and community-level predictors of home delivery among women in Bangladesh., Methods: Data were derived from the Multiple Indicator Cluster Survey (MICS) 2019, a nationwide cross-sectional survey in Bangladesh. A final sample of 9,166 (weighted) women who gave birth in the two years preceding the survey were included in this study. Considering the two-stage cluster sampling strategy adopted by MICS, we used multilevel (2-level) logistic regression analysis to find out the correlates of home delivery., Results: The overall weighted prevalence of home delivery was 46.41% (95% confidence interval [CI]: 45.39-47.43). The highest prevalence was observed in Bandarban district (84.58%), while the lowest was found in Meherpur district (6.95%). The intercept-only regression model demonstrates that the likelihood of women from various clusters having home delivery varied significantly (variance: 1.47, standard error [SE]: 0.117), indicating the applicability of multilevel regression modeling. The multilevel regression analysis showed that women with higher education, wealth status and ANC visit, and those aged >18 years at first marriage/union were associated with lower odds of delivering child at home compared to their counterparts. While women from age group of 35-49 years, whose last pregnancy was unintended were more likely to deliver child at home. In addition, those respondents belonging to a community that had higher wealth status, women's education level, and exposure to media showed lower odds of having delivery at home., Conclusions: The finding indicates that delivery at home is still high in Bangladesh. Targeted interventions to reduce home delivery are urgently needed in Bangladesh to tackle adversities during deliveries and save mothers from the consequences., Competing Interests: The authors have declared no competing interests exists., (Copyright: © 2024 Dey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Postnatal care (PNC) is the care of a newborn and mother for up to six weeks from one hour of placenta birth. The postnatal period is one of the most hazardous stages for mothers and their baby's health. The PNC is influenced by several maternal, family, biological, and socio-economic factors and it is necessary to identify the most significant factors of PNC. Therefore, the authors focus on determining the significant determinants of postnatal care in Bangladesh., Methods and Materials: This study is based on a secondary dataset extracted from the Bangladesh Demographic and Health Survey (BDHS)-2017/18. Descriptive statistics, chi-square test, and multilevel logistic regression have been used to determine the contributing factors of PNC., Results: The rate of postnatal care was highest in Sylhet (73.7%) and lowest in Dhaka (57.1%). Female babies had 10.1% less odds of having postnatal care than male babies. Findings depict that the children with 1-3 siblings have 1. 82 times more odds (odds ratio (OR):1.82, 95% confidence interval (CI):0.03-3.21) of PNC than babies without any siblings. Children who suffered from fever recently had 1.25 times (OR = 1.25, 95% CI:1.09-1.45) more odds of taking PNC than their counterparts. Children of working mothers had 1.33 times (OR:1.33, 95% CI:1.14-1.56) more odds of having PNC than children of non-working mothers., Conclusion: The sex of a child, birth order number, place of residence, region, receiving Bacillus Calmette-Guérin (BCG) vaccine, number of antenatal care visits, having fever recently, number of household members, media exposure, and household facilities are significantly linked with PNC in Bangladesh. To ensure the good health of a child, it is necessary to focus on the targeted groups and put emphasis on the identified variables. The authors believe that the findings will be helpful to the policymakers of Bangladesh to lessen childhood morbidities which will be helpful in achieving the target of the Sustainable Development Goals (SDGs) for reducing preventable maternal and under-five deaths by 2030., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Sumon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Anaemia is a significant public health concern in Bangladesh, yet data on the prevalence of anaemia in pregnancy and the contribution of iron deficiency are limited. Given the reliance on groundwater for drinking, a better understanding of the role of drinking water iron in anaemia aetiology is also required to inform anaemia prevention strategies., Methods: This cross-sectional study enrolled 1500 pregnant women from Narayanganj district, Bangladesh, during their second or third trimester. Anaemia and iron status were described and their relationship with drinking water iron assessed using regression analyses., Results: The prevalence of anaemia was 38% (95% confidence interval, CI: 35%, 40%), with 10% (95% CI: 9%, 12%) experiencing moderate-to-severe anaemia. Iron deficiency affected 48% (95% CI: 45%, 50%) of participants. Although drinking water iron concentrations were generally low (median: 0 mg/L; interquartile range: 0-1), high concentrations (≥ 2 mg/L) were associated with increased ferritin levels but did not significantly impact iron deficiency (95% CI: 0·73, 1·02) or anaemia (95% CI: 0·79, 1·17) prevalence. Iron deficient women had a 1·86 (95% CI: 1·61, 2·15) adjusted prevalence ratio for anaemia and a 4·22 (95% CI: 2·89, 6·17) adjusted prevalence ratio for moderate-to-severe anaemia, compared to iron replete women., Conclusions: Anaemia and iron deficiency are highly prevalent among pregnant women in Narayanganj. These findings challenge the assumption of low iron deficiency prevalence throughout Bangladesh and highlight iron deficiency in pregnancy as a potentially underrecognized public health problem, particularly in regions with low drinking water iron. Further research is needed to clarify the contribution of drinking water iron to iron deficiency and anaemia in Bangladesh., Trial Registration: The study is registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12621000982819, registered 26/07/2021)., (© 2024. The Author(s).)

Background: The objective of the current study was to estimate the prevalence and associated factors of overweight/obesity among Bangladeshi adolescents aged 15-19 y and to identify whether wealth-related inequality exists for overweight/obesity among Bangladeshi older adolescents., Methods: We analyzed publicly available national representative secondary data from the 2019-2020 Bangladesh Adolescent Health and Wellbeing Survey. This cross-sectional survey was carried out among 18 249 adolescents aged 15-19 y regardless of their marital status using a two-stage stratified sampling technique (the data of 9128 eligible adolescents were included in this analysis). The WHO reference population for body mass index-for-age (1+Z score) was considered as overweight/obesity., Results: We found that girls had significantly (p<0.05) higher prevalence of overweight/obesity (11.63%) than boys (8.25%); however, their biological sex as well their age were not significantly associated with higher odds of overweight/obesity. Those who were in their higher grade (grade 11 and higher) in the school and had been exposed to media were more likely (1.67 and 1.39 times, respectively) to be overweight/obesity compared with primary grade (0-5) and those who experienced no media exposure, respectively. Inequality analysis revealed that adolescents belonging to wealthy households had significantly higher rates of overweight/obesity than those in poorer households (concentration index=0.093)., Conclusions: The study exhibited the multifaceted nature of overweight/obesity among Bangladeshi older teenagers, revealing that their school grade, exposure to media content and wealth-related inequality emerged as significant contributing factors. The findings underscore the urgent need for targeted interventions and public health strategies to address the escalating burden of overweight and obesity in this age group., (© The Author(s) 2024. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.)

Colibacillosis caused by avian pathogenic Escherichia coli (APEC) is causing economic losses to the global poultry industry. Increased prevalence of antibiotic resistance in APEC is the leading cause for increased indiscriminate use of various antimicrobial compounds in farms. The study aimed to investigate the presence of phenotypic and genotypic markers for antibiotic resistance, metals, and biocides in APEC from Bangladeshi poultry and details about the antimicrobials used in poultry farms. In total, 55 APEC were isolated from hearts or liver samples of 86 sick or dead chickens using culture on agar plate and biochemical testing. APEC isolates were tested for antibiotic susceptibility to 14 antimicrobial agents according to the European Committee on Antimicrobial Susceptibility Testing. A series of PCRs was performed to screen the presence of genes for quinolones, colistin, aminoglycosides, ESBL, metals, and biocides. Detailed information regarding antibiotic use was collected from farmers during clinical investigations. Resistance was found to 10 antibiotics and prevalence was as follows: ampicillin (86%), ciprofloxacin (86%), trimethoprim-sulphamethoxazole (73%), chloramphenicol (33%), mecillinam (13%), gentamicin (11%), cefoxitin (11%), cefotaxime (9%), tigecycline (2%), and nitrofurantoin (2%). The most common multiresistance phenotype was CIP-AMP-SXT, and 35% of isolates were multidrug resistant. Genotypic analysis confirmed the presence of quinolone resistance genes [ qnrS1 and aac-(6')-lb-cr ], silver-resistant genes ( silE ), and mercury-resistant genes ( merA ) but not others. In total, 88% farmers were using different antimicrobial compounds, and, of them, 56% were using antimicrobials without prescriptions from veterinarians. Ciprofloxacin was most extensively used followed by oxytetracycline. Critically important antibiotics like ciprofloxacin, colistin, and gentamicin are extensively used in the farms. This study confirmed the presence of antibiotics, metals, and biocide-resistant APEC in poultry farms in Bangladesh. Increased resistance to quinolones is a serious ongoing problem. The indiscriminate use of antibiotics in poultry farms is alarming and should be stopped.

Background: Tilapia (Oreochromis niloticus) is the most widely cultured freshwater fish species in Bangladesh and worldwide. However, commercial tilapia culture systems face increasing challenges from bacterial infections., Objectives: The objective of this study was to identify the bacterial isolates from infected tilapia in an intensive cage culture farm located along the Shitalakshya River in Bangladesh., Methods: Infected fish samples were collected and underwent comprehensive clinical and post-mortem investigations, followed by phenotypic, biochemical and molecular identification of the bacterial isolates, as well as histopathological and antibiotic susceptibility examinations., Results: Phenotypic and biochemical characterization showed similarities of the -collected isolates with Aeromonas veronii. Moreover, molecular analysis of the bacterial conserved region 16S rRNA also confirmed these isolates as A. veronii. The analysed 16S rRNA sequence (GenBank accession no. PP832815) showed a close relationship (100% identity) with A. veronii from China (GenBank accession no. MT071624) in the NCBI BLAST search, and in the phylogenetic tree, they grouped in a single clade. This close genetic relationship is also supported by the low genetic distance between the isolates. Histopathological analysis revealed gross pathological changes like necrosis, hypertrophy and inflammation in muscle tissues. The isolates were found to be sensitive to multiple antibiotics but resistant to trimethoprim and sulphamethoxazole., Conclusion: This study investigated the presence of A. veronii infection in tilapia (O. niloticus) in an intensive cage culture farm in Bangladesh., (© 2024 The Author(s). Veterinary Medicine and Science published by John Wiley & Sons Ltd.)

The unprecedented global impact of the 2019 coronavirus disease (COVID-19) has necessitated a comprehensive understanding of its transmission dynamics and control measures. In this study, we present a detailed analysis of a COVID-19 vaccination model tailored to the context of Bangladesh, incorporating dual-dose vaccination strategies. By employing qualitative and bifurcation analysis techniques, we investigate the equilibrium points, effective reproduction number (R0), and critical thresholds that influence the prevalence and control of COVID-19 in the region. Our findings reveal insights into the effectiveness of vaccination programs and provide a framework for developing targeted control plans. Through a rigorous examination of model parameters and sensitivity analysis, we identify key factors driving COVID-19 transmission dynamics, emphasizing the significance of vaccination rates and other critical parameters. The validation of our model against real-world data underscores its utility in informing evidence-based decision-making for managing the COVID-19 pandemic in Bangladesh and beyond., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kuddus et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Multi-drug resistant (MDR) Klebsiella pneumoniae is a public health concern due to its presence in Bangladeshi poultry products and its ability to spread resistance genes. This study genetically characterizes a distinct MDR K. pneumoniae isolate from the gut of poultry in Noakhali, Bangladesh, offering insights into its resistance mechanisms and public health impact., Methods: Klebsiella pneumoniae isolates from broiler and layer poultry were identified using biochemical and molecular analyses. Eleven isolates were tested for antibiotic sensitivity and categorized by their Multiple Antibiotic Resistance Index (MARI) profiles. The isolate with the highest MARI was selected for whole-genome sequencing using Illumina technology. The sequencing data were analyzed for genome annotation, pan-genome analysis, genome similarities, sequence type identification, and the identification of genetic determinants of resistance and virulence genes., Result: We identified 10 MARI profiles among 11 K. pneumoniae isolates, with values ranging from 0.64 to 0.94. The highest MARI of 0.94 was found in an isolate from a layer poultry. This isolate's genome, 5401,789 base pairs long with 89.6 % coverage, showed potential inter-species dissemination, as indicated by core genome phylogenetic analysis. It possessed genes conferring resistance to fluoroquinolones, aminoglycosides, β-lactams, folate pathway antagonists, fosfomycin, macrolides, quinolones, rifamycin, tetracyclines, and polymyxins, including colistin., Conclusion: Poultry serve as reservoirs for MDR K. pneumoniae, which can spread to other species and pose significant health risks. Rigorous monitoring of antibiotic use and genetic characterization of MDR bacterial isolates are essential to mitigate this threat., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Avian leukosis is a significant viral disease affecting chicken populations globally, including Bangladesh, resulting in high mortality and morbidity rates and causing substantial economic losses in the commercial poultry industry. This study aimed to detect avian leukosis virus (ALV) during recent outbreaks in Bangladesh, utilising a molecular-based approach. A total of 14 liver samples were collected from the suspected layer flocks in Bangladesh. The diagnosis of ALV infection in chickens was confirmed through necropsy, histopathological examinations, reverse transcription-polymerase chain reaction (RT-PCR), and sequence analysis. Gross observations revealed severe liver enlargement with scattered white nodules on the surface in the infected chickens. Histopathological observations showed the infiltration of huge mononuclear inflammatory cells in the periportal area of liver and microvesicular fatty degeneration and necrosis of some hepatocytes. RT-PCR results identified three samples positive for the env gene of ALV. Sequence analysis of the env genes demonstrated high homology among the identified strains (97%-98%) and with reference strains (92%-96%) at the nucleotide level. The phylogenetic tree revealed close relatedness of the three identified strains to reference strains from India, USA, and China. Mutational analysis indicated several mutations throughout the envelope glycoprotein of the identified strains. Protein structure analysis showed minor changes in the hydrophobic region of the envelope protein of the identified strains. In conclusion, this study, the first detailed investigation in Bangladesh, contributes to understanding ALV epidemiology, highlights genetic diversity, and emphasises the necessity for further investigations and the implementation of effective control measures in the affected regions., (© 2024 The Author(s). Veterinary Medicine and Science published by John Wiley & Sons Ltd.)

Background: The emergence and dissemination of multidrug resistant (MDR) bacteria pose a severe threat to public health by limiting clinical treatment and prophylactic options., Objectives: This study investigates the prevalence of Escherichia coli in broilers, their phenotypic antimicrobial resistance (AMR) profiles and the presence of virulence-associated genes (VAGs) and antimicrobial resistance genes (ARGs) using polymerase chain reaction (PCR)., Materials and Methods: A total of 216 pooled cloacal samples were collected from 1080 broilers across six districts of Bangladesh. Each pooled sample comprised randomly selected cloacal swabs from five birds per farm. E. coli isolates were identified using standard bacteriological approach, followed by biochemical assays and PCR. Antimicrobial susceptibility was assessed using the Kirby-Bauer disc diffusion method, and the presence of ARGs and VAGs was determined via PCR. Five selected isolates were partially sequenced for five VAGs using Sanger sequencing., Results: A total of 177 E. coli isolates (81.94%, 95% confidence interval: 76.24%-86.53%) were identified. The isolates showed the highest resistance to ampicillin (93.79%), followed by tetracycline (91.53%), erythromycin (89.27%) and ciprofloxacin (87%). Conversely, ceftriaxone (80.79%) showed highest susceptibility, followed by gentamicin (37.29%) and neomycin (31.07%). All isolates were MDR, with a multiple antibiotic resistance indexes were <0.3. A significant percentage (16.38%) of E. coli isolates were MDR to five antimicrobial classes and harboured bla TEM , sul1, ere (A), tetA, tetB and tetC genes. The highest prevalent ARGs were bla TEM (88.14%) followed by ere (A) (83.62%) and sul 1 (72.32%). The prevalence of VAGs was astA (56.50%), iucD (31.07%), iss (21.47%), irp2 (15.82%) and cva/cvi (3.39%), respectively., Conclusions: This study highlights the presence of ARGs contributing to the development of MDR in E. coli carrying VAGs in broilers. Effective monitoring and surveillance of antimicrobial usage in poultry production systems are urgently required to prevent emergence and dissemination of AMR., (© 2024 The Author(s). Veterinary Medicine and Science published by John Wiley & Sons Ltd.)

Objectives: Shifts in socioeconomic factors, healthcare access, lifestyle and infrastructure facilities have resulted in increased body mass index (BMI) of populations in developing countries. These shifts result in a large increase in overweight and obese individuals, with a corresponding decline in the number of those who are underweight. Although this nutritional transition among women in Bangladesh is evident, studies elucidating such change are scarce. This study aimed to explain how socioeconomic, healthcare access and infrastructural shifts contributed to the nutritional transition among women of childbearing age in Bangladesh between 2004 and 2018., Study Design: Repeated cross-sectional study of respondents who participated in the latest five rounds of Bangladesh Demographic Health Surveys (BDHS) from 2004 to 2017-18., Methods: Applying counterfactual decomposition techniques to data from the latest five rounds of BDHS, this study examined how variations in observed nutrition-related determinants, and returns to them across rounds, contributed to the nutritional transition among women of childbearing age., Results: Shifts in nutritional outcomes were primarily attributed to gains in partner's education, improved access to healthcare, a decline in breastfeeding practice and the number of births. Wealth accumulation, contraception and improved sanitation facilities appeared as secondary contributing factors. Additionally, this study identified that the BMI gap widened between the lower and the upper quantile of the distribution over the study period., Conclusions: Addressing the rise in BMI and the prevalence of overnutrition is imperative for the future health of the population in Bangladesh. Considering the study findings and existing national nutrition policies and programmes, it is evident that targeted policy interventions, programmatic approaches and multisectoral collaborations are essential., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

The journey towards ending AIDS epidemic in Bangladesh by 2030 is ambitious yet achievable. Although Bangladesh has always had a low rate of HIV among its general population, it remains one of seven countries in Asia and the Pacific where new HIV cases are rising. This study evaluates the effectiveness of HIV programmatic strategies and investment scenarios using the AIDS Epidemic Model (AEM) from 2023 to 2030, focusing on optimizing resource allocation and interventions. The findings indicate that without improved program effectiveness, new HIV infections will increase to 1,382 by 2030, failing to meet the targets of the Global AIDS Strategy 2021-2026. If Bangladesh improves its HIV program effectiveness according to the Global AIDS Strategy 2021-2026, the NSP and Global AIDS Strategy targets could significantly lower new infections and AIDS-related deaths and increase treatment coverage to meet Ending AIDS targets. The NSP targets could reduce new HIV infections to under 275 annually and achieve treatment goals by 2030. The study reveals that NSP targets are the most cost-effective, offering the highest benefit-cost ratio, highlighting the urgent need to enhance HIV prevention program effectiveness, particularly among key populations, to achieve both public health and economic benefits.

Climate change is a significant risk multiplier and profoundly influences the transmission dynamics, geographical distribution, and resurgence of vector-borne diseases (VBDs). Bangladesh has a noticeable rise in VBDs attributed to climate change. Despite the severity of this issue, the interconnections between climate change and VBDs in Bangladesh have yet to be thoroughly explored. To address this research gap, our review meticulously examined existing literature on the relationship between climate change and VBDs in Bangladesh. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, we identified 3849 records from SCOPUS, Web of Science, and Google Scholar databases. Ultimately, 22 research articles meeting specific criteria were included. We identified that the literature on the subject matter of this study is non-contemporaneous, with 68% of studies investing datasets before 2014, despite studies on climate change and dengue nexus having increased recently. We pinpointed Dhaka and Chittagong Hill Tracts as the dengue and malaria research hotspots, respectively. We highlighted that the 2023 dengue outbreak illustrates a possible shift in dengue-endemic areas in Bangladesh. Moreover, dengue cases surged by 317% in 2023 compared to 2019 records, with a corresponding 607% increase in mortality compared to 2022. A weak connection was observed between dengue incidents and climate drivers, including the El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). However, no compelling evidence supported an association between malaria cases, and Sea Surface Temperature (SST) in the Bay of Bengal, along with the NINO3 phenomenon. We observed minimal microclimatic and non-climatic data inclusion in selected studies. Our review holds implications for policymakers, urging the prioritization of mitigation measures such as year-round surveillance and early warning systems. Ultimately, it calls for resource allocation to empower researchers in advancing the understanding of VBD dynamics amidst changing climates., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objective: The study aimed to assess anxiety and fear of COVID-19 among home-staying Bangladeshi students. Participants: A total of 3997 university students across Bangladesh participated in the study . Methods: A cross-sectional study was conducted using the generalized anxiety disorder scale and the fear of COVID-19 scale to measure anxiety and fear, respectively. Results: 40.11% of participants had anxiety. Fear of death by COVID-19 (β1'=4.45; 95% CI: 3.99-4.90) and perceiving COVID-19-like symptoms as having COVID-19 (β1'=2.47; 95% CI: 1.76-3.18) were associated with higher fear. Exposure to COVID-19 news on social media was a predictor of fear and anxiety. Furthermore, the severe educational loss was associated with fear (β1'=2.88; 95% CI: 2.25-3.50) and anxiety (β2'=1.91; 95% CI: 1.41 to 2.41). Physical exercise and recreational activities were protective factors for fear and anxiety. Conclusion: The study reports a higher level of psychological difficulties among students during the COVID-19 pandemic which needs further longitudinal exploration to design appropriate interventions.

Background and Aims: Gastrointestinal (GI) symptoms, common in type 2 diabetes (T2D), are typically bothersome, socially embarrassing, and impact negatively on quality of life. They may also contribute to diabetes distress (DD), but this has never been formally evaluated. We aimed to investigate the relationships between GI symptoms, DD and depressive symptoms in a large cohort of individuals with T2D in Bangladesh., Materials and Methods: 1406 unselected T2D individuals (female 58.8%; mean age 51.0 ± 12.5 years) from four diabetes clinics in Bangladesh completed validated questionnaires evaluating GI symptoms (PAGI-SYM), DD (DDS-17) and depressive symptoms (PHQ-9)., Results: 31.1% of participants reported GI symptoms (36.2% females, 23.7% males), while 51.1% had elevated DD and 37.8% depressive symptoms. GI symptoms exhibited independent relationships with both DD and depressive symptoms, and their likelihood was higher among those with DD (OR: 3.6 [2.2-5.6] and with depressive symptoms (OR: 5.9 [3.5-9.9])., Conclusions: GI symptoms are independently associated with both DD and depressive symptoms in people with T2D in Bangladesh., (© 2024 The Author(s). Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.)

Introduction: Early marriage, defined as marriage under the age of 18, is widely recognized as a human rights violation with deleterious consequences on women's health and well-being. It persists as a significant global public health issue, predominantly being practiced in South Asian countries. In Countries like Bangladesh, this practice contributes to an increase in early pregnancies among women of reproductive age, further exacerbating adverse maternal and child health outcomes. While certain predictors of early marriage are recognized, additional investigation is warranted due to diverse socio-economic and demographic circumstances. This study, therefore, aimed to identify the prevalence and determinants of early marriage among women in Bangladesh., Methods: This study included a total weighted sample of 18,228 married women aged 18 to 49 years, extracted from the most recent nationally representative Bangladesh Demography and Health Survey (2017-18). We estimated the survey weighted pooled prevalence of early marriage among women and stratified by their different characteristics. We used multilevel mixed-effect binary logistic regression model and estimated the odds ratios (ORs) with their 95% confidence intervals (CIs) to identify the individual-, household-, and community-level factors associated with early marriage practice. All analyses were performed by Stata software version 18., Results: Overall, 74.27% [95% CI: 73.15, 75.35] women got married before reaching the age of 18 years. Early marriage was more prevalent in Rajshahi (82.69%), Rangpur (81.35%), and Khulna division (79.32%). Women with higher education (OR = 0.10, 95% CI: 0.08, 0.12), husband's higher education (OR = 0.57, 95% CI: 0.48, 0.67), and non-Muslim women (OR = 0.46, 95% CI: 0.40, 0.52) were associated with a lower likelihood of experiencing early marriage. Compared to those household heads aged ≤35 years, the likelihood of early marriage among women was lower for those household heads aged 36-55 years (OR = 0.84, 95% CI: 0.76, 0.93) and >55 years (OR = 0.78, 95% CI: 0.69-0.88). Women aged 18-24 years (OR = 1.24, 95% CI: 1.10, 1.40), husbands with agricultural occupation (OR = 1.22, 95% CI:1.06, 1.41), middle wealth index level (OR = 1.14, 95% CI: 1.02, 1.28), family size five or more (OR = 1.21, 95% CI: 1.11, 1.31), and rural residence (OR = 1.17, 95% CI: 1.04, 1.30) were more likely to experience early marriage., Conclusion: This study underscores the alarming prevalence of early marriage among women in Bangladesh, with three-fourths experiencing early marriage, particularly in specific regions. Notably, women education and older household heads were significantly associated with a reduced likelihood of early marriage. Our findings suggest that culturally sensitive interventions should focus on empowering older household heads, alongside initiatives to increase awareness among younger household heads, and enhance education, particularly in rural and impoverished households. These efforts could potentially alter socio-cultural practices and reduce early marriage in Bangladesh., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Rashid et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Surge capacity-the ability to acquire additional workers and resources during unexpected increases in service demand-is often perceived as a luxury. However, the COVID-19 pandemic necessitated an urgent expansion of surge capacity within health systems globally. Health systems in Bangladesh, Nepal, and Sri Lanka managed to scale up their capacities despite severely limited budgets. This study employs a mixed-methods approach, integrating qualitative interviews with quantitative data analysis, to propose a comprehensive framework for understanding Human Resources for Health (HRH) surge capacity from 2018 to 2021, termed ARRAS: Anticipate, Recruit, Retain, Adapt, Sustain. We present national-level data to demonstrate how each country was able to maintain their per capita health care workforce during the crisis. Interviews with key informants from each country reinforce the ARRAS framework. Quantitative data revealed ongoing increases in doctors and nurses pre- and post-pandemic, but no country could rapidly expand its health workforce during the crisis. Qualitative findings highlighted critical strategies such as pre-crisis planning, financial incentives, telemedicine, and re-skilling the workforce. Despite adaptive measures, challenges included inadequate funding, poor data systems, and coordination issues. This study underscores the necessity for robust, long-term strategies to enhance surge capacity and better prepare health systems for future crises.

Background: Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. Interpretable ML is, therefore, an emerging research field that combines the performance and interpretability of ML models to create comprehensive solutions for complex decision-making analysis. Conversely, infant mortality is a global public health concern affecting health, social well-being, socio-economic development, and healthcare services. The study employs advanced interpretable ML techniques to anticipate and understand the factors affecting infant mortality in Bangladesh, overcoming the shortcomings of the conventional logistic regression (LR) model., Methods: By utilizing the global surrogate model and local individual conditional expectation (ICE) interpretability technique, the interpretable support vector machine (SVM) has been used in this study to reveal significant characteristics of infant mortality using data from the Bangladesh Demographic and Health Survey (BDHS) 2017-18. To investigate intricate decision-making analysis of infant mortality, we adapted SVM and LR techniques with the hyperparameter tuning parameters. These models' performances were initially assessed using the receiver operating characteristics (ROC) curve, run-time, and confusion matrix parameters with 100 permutations. Afterward, the SVM model's model-agnostic explanation and the LR model's interpretation were compared to enhance advanced comprehension for further insights., Results: The results of the 100 permutations demonstrated that the LR model (Average: accuracy = 0.9105, precision = NaN, sensitivity = 0, specificity = 1, F1-score = 0, area under the ROC curve (AUC) = 0.6780, run-time = 0.0832) outperformed the SVM model (Average: accuracy = 0.8470, precision = 0.1062, sensitivity = 0.0949, specificity = 0.9209, F1-score = 0.1000, AUC = 0.5632, run-time = 0.0254) in predicting infant mortality, but the LR model had a slower run-time and it was unable to predict any positive cases. The interpretation of LR analysis revealed that infant mortality rates decrease when mothers give birth after over two years, with higher educational attainment, overweight or obese mothers, working mothers, and families with polluted cooking fuel having lower rates. The local ICE interpretability technique, which depicts individual influences on the average likelihood of dying within the first birthday, explores the interpretable SVM model that mothers with normal BMIs, giving birth within two years, using less polluted cooking fuel, working mothers, and having male infant were more likely to experience infant death. The interpretable SVM model based on the global surrogate model also reveals that working mothers who used polluted cooking fuel at home and working women who used less polluted cooking fuel but had a longer period between pregnancies than two years would have higher infant death rates. Even among non-working mothers who used polluted cooking fuel and gave birth within two years of the preceding one, infant death rates were higher., Conclusions: The interpretable SVM model reveals global interpretations help clinicians understand the entire conditional distribution, while local interpretations focus on specific instances, providing different insights into model behavior. Interpretable ML models aid policymakers, stakeholders, and families in understanding and preventing infant deaths by improving policy-making strategies and establishing effective family counseling services., (© 2024. The Author(s).)

Background: Among 13 endemic districts, the Chittagong Hill Tracts bear more than 90% of Bangladesh's malaria burden. Despite the private sector's prominence in rural healthcare, its role in malaria management remains underutilized. This study aimed to strategize leveraging the for-profit private sector, such as diagnostic and treatment centers, to bolster national malaria surveillance and control, advancing Bangladesh toward malaria elimination by 2030., Methods: This mixed-method study commenced with a questionnaire-based cross-sectional survey followed by selected focused group discussions (FGDs) among the participants. Three FGDs were held with the for-profit service providers so that further insights and qualitative viewpoints of them can be utilized in situation analysis. Based on the endemicity and strategic priorities, a comprehensive mapping of private for-profit facilities from the regions comprising 15 sub-districts across 8 chosen districts (7 malaria endemic districts and the rest non-endemic districts) was created. For the non-endemic zone, the sub-districts were selected based on their proximity to an area with high malaria transmission., Results: Among the 104 representative participants, majority were male (n = 92, 88.5%), had a diploma in their respective fields (n = 53, 51%) and were involved either in laboratory work (n = 49, 47.1%) or as owners/managers of health centers (n = 41, 39.4%). The selected health facilities were close to the corresponding Upazila Health Complexes (mean distance 2.8 km), but were distantly located from the designated district hospitals (mean distance 48.9 km). The main sources of RDT kits (62.3%) and anti-malarial drugs (63.2%) were local wholesale markets. A large share of the corresponding facilities neither provided malaria treatment services (81.7%) nor worked with the NMEP (93.3%)., Conclusions: This study highlights challenges and recommendations for engaging private for-profit health facilities in Bangladesh's malaria elimination efforts. The identified challenges include low-quality RDTs, staff shortages, and inadequate capacity building. Recommendations emphasize effective training, stakeholder interaction, and enhanced oversight for successful malaria control efforts., (© 2024. The Author(s).)

Background: The coronavirus disease 2019 (COVID-19) had a profound impact worldwide. In Bangladesh, the official number of deaths for COVID-19 was around 29 000. However, many countries including Bangladesh experienced substantial underreporting of COVID-19 deaths due to lack of complete national civil registration system. This study aims to estimate excess mortality in 2020, identify risk factors, and determine leading causes of death in Bangladesh., Methods: In February 2021, we conducted a cross-sectional household survey in Sitakunda, a subdistrict of Chattogram, identifying deaths from January 2018 to December 2020. Excess mortality was quantified using the p-score and incidence rate ratio (IRR) utilising Poisson segmented regression. We employed the InterVA-5 algorithm to attribute causes of death. Proportional distribution and cause-specific mortality rates (CSMR) per 100 000 individuals were compared between pre-pandemic and pandemic periods., Results: Among 1748 deaths from 25 669 households, we found 1.4 (95% confidence interval (CI) = 1.2-1.4) times excess mortality in 2020 compared to 2018-2019. Leading causes of death in 2020 included cardiac disease (CSMR = 121.0, CI = 115.8-127.3), stroke (CSMR = 108.0, CI = 102.6-114.0), and acute respiratory infection (CSMR = 61.0, CI = 55.1-66.5), all displaying significantly higher mortality rates than in previous years. Older age (IRR = 1.6), less education (IRR = 1.8), and lower socio-economic groups (IRR = 2.1) had higher mortality rates in 2020 compared to pre-pandemic years., Conclusion: Our study suggests high rural excess mortality during COVID-19 including cardiac disease, stroke and acute respiratory infection as the leading causes of deaths. We require targeted strategies to identify high-risk patients with comorbidity and social vulnerabilities that contribute to mortality to guide the preparedness strategy for future pandemics., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Background: The coronavirus disease 2019 (COVID-19) pandemic disrupted essential health care services worldwide, including those related to immunisation. National data from Bangladesh shows that child immunisation may have been adversely affected by the pandemic but regional evidence is limited. We therefore aimed to explore the regional differences in the indirect effects of COVID-19 on child immunisation in Bangladesh., Methods: We extracted data from the District Health Information Software (DHIS2) spanning the period from January 2017 to December 2021. We examined three essential immunisation indicators: Bacille Calmette-Guérin (BCG), pentavalent third dose, and measles vaccinations. We examined both the yearly and monthly trends to explore fluctuations in the number of immunisations to pinpoint specific periods of service utilisation regression. Segmented regression with Poisson distribution was implemented given the count-based outcome. We reported incidence rate ratios (IRRs) with 95% confidence intervals (CIs) in different regions in 2020 and 2021 compared to the reference period (2017-19)., Results: We initially observed a notable decline in vaccine administration in April 2020 compared to the pre-pandemic period of 2017-19 with a drop of approximately 53% for BCG vaccines, 55% for pentavalent third doses, and 51% for measles vaccines followed by May 2020. The second half of 2020 saw an increase in vaccination numbers. There were noticeable regional disparities, with Sylhet (IRR = 0.75; 95% CI = 0.67-0.84 for pentavalent administration, IRR = 0.79; 95% CI = 0.71-0.88 for measles administration) and Chattogram (IRR = 0.77; 95% CI = 0.72-0.83 for BCG administration) experiencing the most significant reductions in 2020. In April 2020, Dhaka also experienced the largest decline of 67% in measles vaccination. In 2021, most divisions experienced a rebound in BCG and pentavalent administration, exceeding 2019 levels, except for Chittagong, where numbers continued to decline, falling below the 2019 figure., Conclusions: Our findings highlight the impact of the COVID-19 pandemic on childhood immunisation across regions in Bangladesh. Sylhet, Chattogram, and Dhaka divisions experienced the most significant reductions in immunisation services during 2020. This underscores the importance of targeted interventions and regional strategies to mitigate the indirect effects of future challenges on essential health care services, particularly childhood immunisation, in Bangladesh., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Diabetes mellitus is a major worldwide health concern. Diabetes has been associated with a number of adverse mental health conditions including depression, anxiety, and loneliness that can negatively impact diabetes outcomes. This study aimed to investigate factors associated with depression, anxiety, and loneliness in people, in the community, suffering with diabetes in Bangladesh. A cross-sectional study was conducted with 600 people with type-2 diabetes (54.83% females; mean age: 52.70 ± 11.56 years) between July and September 2022. Purposive sampling method was used to recruit the participants. A validated semi-structured questionnaire was used to collect demographic and other data. Depression, anxiety, and loneliness were measured using the PHQ-9, GAD-7, and UCLA Loneliness scale, respectively. Bivariate and multivariable linear regression analyses were conducted to ascertain factors that were significantly associated with these mental health conditions. The prevalence of depression, anxiety, and loneliness was 31.17%, 21.83%, and 28.00%, respectively. A lack of formal education, and not taking part in physical activities were significantly associated with all three mental health states. Duration of diabetes and being on medication for high cholesterol were also associated with depression and anxiety. Older age and being widowed were significantly associated with loneliness. This study found that depression, anxiety, and loneliness are prevalent among Bangladeshi people with diabetes, with certain sociodemographic and diabetes-related factors associated with increased risk. The findings emphasize the need for targeted interventions to people within the communities, at grassroot levels in order to improve reduce health inequality, and improve the mental health of people living with diabetes., (© 2024. The Author(s).)

Background: Bangladesh suffered a severe COVID-19 wave from June to August 2021, which forced the government to impose emergency nationwide lockdown measures for three months with discontinuities. The sudden lockdown strongly affected the dietary preferences, financial circumstances, and social interactions of citizens., Methods: In this comprehensive study, we collected sociodemographic information as well as data on food purchase and consumption behaviors from 1,350 adults in Bangladesh during the weeks of enforced confinement. The association between the sociodemographic factors (viz., gender, age, education status, income, occupation, and household size) and food purchase and consumption behaviors were determined by conducting bivariate and multivariate logistic regression models reporting as odds ratios., Results: The descriptive result reveals that 49.63% of the participants experienced wage reductions, with many people enduring reductions of up to 75%; 12.22% lost their jobs. Besides, a decline in the frequency of shopping was observed by 35.04%; and 24.52% avoided outdoor shopping during the pandemic period. Additionally, 28.74% of participants purchased less overall, while 19.48% purchased significantly fewer items per trip compared to the pre-pandemic period. The multivariate analysis shows a prominent increase in online grocery shopping (OR: 4.03, 95% CI: 2.38-6.83, p < 0.001) and meal delivery services (OR = 5.19, 95% CI = 3.21-7.17, p < 0.001) among higher educated individuals compared to the individuals having no institutional education. The personnel having formal jobs purchased 2.34 times more from online grocery sites (95% CI = 0.34-4.08, p = 0.003) compared to the unemployed one. In contrast, a notable increase in panic buying and stockpiling was observed, driven by scarcity and escalating prices of essential food items. The frequency of meals with families, active engagement in meal preparation, and the exploration of novel recipes also increased notably., Conclusions: The consumption of takeaway food and inter-meal snacks increased significantly with the education level of individuals. These findings highlighted that a prolonged pandemic could magnify economic vulnerability in Bangladesh., (© 2024. The Author(s).)

Introduction: Exposure to secondhand smoke (SHS) risks children's health. However, biomarkers are rarely used to study SHS exposure among children in low- and middle-income countries., Aims and Methods: We analyzed cross-sectional data collected between March and November 2022 for a cluster-randomized controlled trial investigating a Smoke-Free Intervention in 2769 children aged 9-15 in 74 schools (34 in Dhaka, Bangladesh, and 40 in Karachi, Pakistan). Children's saliva was tested for the concentration of cotinine-a highly sensitive and specific biomarker for SHS exposure. Based on their reports, children's homes were categorized as Nonsmoking Homes (NSH) when residents were nonsmokers; Smoke-free Homes (SFH) when residents and visitors smoked outdoors only; and Smoke-permitted Homes (SPH) when either residents or visitors smoked indoors. We compared cotinine concentrations across these home types and the two cities using a proportional odds model., Results: Overall, 95.7% of children (92% in Dhaka; and 99.4% in Karachi) had cotinine levels between 0.1 and 12 ng/mL, indicating SHS exposure. Median cotinine levels were higher in Karachi (0.58 ng/mL, IQR 0.37 to 0.93) than in Dhaka (0.27 ng/mL, IQR 0.16 to 0.49). Median cotinine concentration was also higher among children living in SPH than those in either NSH or SFH; with absolute differences of approximately 0.1-0.3 and 0.05 ng/mL, respectively., Conclusions: The level of SHS exposure in Dhaka and Karachi indicates widespread and unrestricted smoking. Smoking restrictions in households and enforcement of smoking bans are urgently needed., Implications: The high levels of SHS exposure in children living in SFH suggest parental behavior to hide their smoking and/or exposure in private vehicles or public spaces. It is important to advocate for SFH and cars to protect children from SHS exposure. However, these initiatives alone may not be enough. There is a need to enforce smoking bans in enclosed public places and transportation, as well as extend these bans to playgrounds, parks, fairgrounds, and other public spaces that children frequently visit. It is essential to complement smoking restrictions with tobacco cessation advice and support in these settings., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.)

Background: The widespread increase in multiple variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) since 2020 is causing significant health concerns worldwide. While whole-genome sequencing (WGS) has played a leading role in surveillance programs, many local laboratories lack the expertise and resources. Thus, we aimed to investigate the circulating SARS-CoV-2 variants and evaluate the performance of multiplexed real-time reverse transcription-PCR (RT-PCR) for screening and monitoring the emergence of new SARS-CoV-2 variants in Bangladesh., Methods: A total of 600 confirmed SARS-CoV-2-positive cases were enrolled either prospectively or retrospectively from two divisions of Bangladesh. The samples were screened by variant RT-PCR targeting five mutations of the spike gene (N501Y, P681R, L452R, E484K, E484Q). A subsample of the study population was also selected for third-generation sequencing (TGS) and the results were compared to the variant RT-PCR screening. An in-depth comparison was made between the two methods in terms of congruence and cost-benefit., Result: Seven variants were detected among samples, with similar distributions of the variants across both divisions. Variant RT-PCR for the targeted mutations lead to a 98.5% call rate; only nine samples failed to be determined. No association was found regarding the demographic features, clinical criteria, or routine RT-PCR Ct values across the variants. The clade diversity of the sequenced subpopulation (n = 99) exhibited similar distributions across the two study sites and other epidemiologic variables. Variant RT-PCR successfully distinguished variants of concern (VOCs) and variants of interest (VOIs); however, 8% discrepancy was observed for the closest lineages. Moreover, the variant RT-PCR represented an ideal balance of cost, time, and accuracy that outweigh their limitations., Conclusion: Based on the strong agreement of variant RT-PCR with TGS, such rapid, easily accessible approaches of rapid strain typing are essential in the context of pandemic responses to guide both treatment decisions and public health measures., Competing Interests: The authors declare no competing interest., (Copyright: © 2024 Kawser et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

We aimed to estimate the overall apparent prevalence, true prevalence, and the spatial, temporal, and test-specific burden of bovine tuberculosis in Bangladesh. PubMed, Web of Science, Scopus, Google Scholar, and BanglaJOL were searched for bovine tuberculosis publications in Bangladesh from 1 January 1970 to 23 June 2023. Of 142 articles screened, systematic review and meta-analysis were performed on 22 (15.5%) articles. The apparent estimated bovine tuberculosis prevalence was 7%. The apparent Bayesian pooled mean bovine tuberculosis prevalences based on caudal fold test and single intradermal comparative tuberculin test were 7.83% and 9.89%, respectively, and the true pooled mean prevalences were 10.39% and 10.48%, respectively. Targeted interventions are recommended for districts with higher prevalence to effectively reduce the bovine tuberculosis burden in those areas. Current diagnostic practices employed in Bangladesh may not accurately reflect the bovine tuberculosis burden. Our findings highlight the need for better diagnostic tools and supplemental testing methods to ensure accurate diagnosis and surveillance. Efforts should prioritize obtaining 'true' prevalence estimates corrected for misclassification bias, rather than relying solely on apparent prevalence. Underestimating the bovine tuberculosis burden could result in inadequate resource allocation and hinder the implementation of effective control measures.

Objective: The main objective of this paper is to document the changing paradigm of malnutrition in Bangladesh and estimating how this is creating an intergenerational risk. This paper also examines national policy responses to tackle the silent epidemic of double burden of malnutrition., Methods: Publicly available datasets of five Bangladesh Demographic and Health Surveys were used to see the changing paradigm of malnutrition among Bangladesh women. In addition to that, four national policies concerning, maternal and child health; and nutrition were reviewed using CDC's 2013 Policy Analytical Framework., Results: In Bangladesh, the share of ever-married women aged 15-49 who were underweight declined sharply between 2007 and 2017-2018, from 30 to 12%. In the same period, the proportion of women who were overweight or obese increased from 12 to 32%. Despite remarkable progress in reducing undernourishment among women, the share of well-nourished remained unchanged: 58% in 2007 and 56% in 2017-2018, mainly due to the shift in the dominant burden from undernutrition to overnutrition. This shift occurred around 2012-2013. Currently, in Bangladesh 0.8 million of births occur to overweight women and 0.5 million births occur to underweight women. If the current trend in malnutrition continues, pregnancies/births among overweight women will increase. Bangladesh's existing relevant policies concerning maternal health and nutrition are inadequate and mostly address the underweight spectrum of malnutrition., Discussion: Both forms of malnutrition pose a risk for maternal and child health. Underweight mothers are at risk of having anemia, antepartum/postpartum hemorrhage, and premature rupture of membranes. Maternal obesity increases the risk of perinatal complications, such as gestational diabetes, gestational hypertension, and cesarean deliveries. Currently, around 24% of the children are born to overweight/obese mothers and 15% to underweight mothers. Bangladesh should revise its national policies to address the double burden of malnutrition among women of reproductive age across pre-conception, pregnancy, and post-natal stages to ensure optimum maternal and child health., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Khan, Haider, Jamil, Ahsan, Siraj, Iqbal and Angeles.)

Methylenetetrahydrofolate reductase (MTHFR) plays a crucial role in regulating one-carbon metabolism. Polymorphisms within the MTHFR gene have been found to increase the risk of breast cancer in different populations. In this study, we evaluated the association of polymorphisms of the MTHFR gene (rs1801133 and rs1801131) with the risk of breast cancer in the Bangladeshi population. This case‒control study included 202 breast cancer patients and 104 healthy controls. After the organic extraction of DNA, genotyping was performed via the PCR-RFLP method. Sanger sequencing was performed to validate the RFLP data. Statistical analyses were performed to evaluate the associations of the polymorphisms. Different computational tools were used to predict the structural and functional consequences of the SNPs. Our study revealed that the MTHFR gene polymorphism rs1801131 is associated with an increased risk of developing breast cancer (p < 0.001, OR = 3.85, 95% CI = 2.06-7.25 for the AC genotype and p < 0.001, OR = 7.82, 95% CI = 2.69-22.05 for the CC genotype). An association was also observed in the dominant model (AC + CC) (p < 0.001, OR = 4.19, 95% CI = 2.28-7.78). For rs1801131, premenopausal status was significantly associated with breast cancer risk (p < 0.001). For rs1801133, no significant association was found with breast cancer risk (p > 0.05, OR = 1.57, 95% CI = 0.90-2.74 for the CT genotype; p > 0.05, OR = 1.35, 95% CI = 0.36-4.92 for the TT genotype). Computational analyses predicted rs1801131 to be tolerated and rs1801133 to be deleterious. Structural analyses demonstrated no significant changes in protein structure but revealed alterations in neighboring interactions according to both bond distances and angles. In conclusion, rs1801131 but not rs1801133 is significantly associated with breast cancer risk in the Bangladeshi population. Moreover, in silico analyses demonstrated changes in the interaction pattern of polymorphic residues with adjacent amino acids., (© 2024. The Author(s).)

Objectives: To determine the risk factors associated with cutaneous anthrax infection in humans., Methods: During 2013-2016, we investigated total 26 anthrax outbreaks across the country. We additionally conducted a case-control study to identify risk factors by recruiting four controls for each enrolled case. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated to identify risk factors using multivariate logistic regression., Results: Over the study period, a total of 1,210 suspected cutaneous anthrax cases were identified in seven districts of Bangladesh. Most of the cases (61%, n  = 744) were detected from Meherpur district. Cases were detected over the year, with the peak number of outbreaks occurring in May. The overall attack rate of suspected cutaneous anthrax cases for 16 outbreaks was 20%, with the highest rate occurring among individuals aged 40-49 years. Persons who had a cut injury (aOR 19.04, CI: 4.08-88.86), weighed raw meat (aOR 5.73, CI: 3.03-10.83), mixed bones and meat (aOR 4.64, CI: 3.03-7.09), observed livestock slaughtering (aOR 2.86, CI: 2.02-4.04), had direct contact to an anthrax suspected livestock (aOR 2.68, CI:1.61-4.45), slaughtered livestock (aOR 2.29, CI: 1.3-4.02), and who did not wash hands with soap and water after direct contact (aOR 2.57, CI: 1.89-3.5) were more likely to develop cutaneous anthrax than people who did not have these exposures., Conclusion: Prior cut injuries on exposed body areas during meat handling and slaughtering of sick livestock were identified as potential risk factors for cutaneous anthrax, highlighting the importance of preventing the slaughter of sick animals. However, stopping slaughtering sick livestock, handling meat and livestock by-products to reduce anthrax exposures from livestock to humans may be difficult to achieve given the associated financial incentives in Bangladesh. Interventions such as hand washing with soap during slaughtering and processing meat can be targeted to affected communities to ameliorate some risk., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Chowdhury, Islam, Haider, Hossain, Alam, Sharif, Uzzaman, Rahman, Rahman and Haque.)

Objectives: Undergoing women of pregnancy termination (PT) significantly faces the problem of physical and mental health. This study aims to assess the prevalence and socioeconomic disparity factors of PT in Bangladesh. This study analyzed data from the 2017-18 Bangladesh Demographic and Health Survey. Researchers employed chi-square tests to identify relationships between categorical variables and logistic regression to pinpoint factors associated with PT. To assess the socioeconomic variation of PT, the analysis utilized concentration curves, concentration indices, and decomposition techniques., Results: The study found that 21.0% of reproductive-aged women in Bangladesh had ever terminated a pregnancy. Our study revealed that women from Chittagong and Sylhet regions, with wealthier backgrounds, aged 30 or older, employed in business, taking short birth intervals, and whose husband/partner was 35 or older, were more likely to have had a pregnancy termination with statistical significance (p < 0.05). Besides, concentration curves showed a higher prevalence of PT among wealthier women (CCI = 0.029, p < 0.001). Decomposition of this inequality revealed that a woman's wealth status was the largest contributor (74.98%) to the observed disparities, followed by exposure to mass media (41.82%), place of residence (34.35%), occupation (24.81%), and preceding birth interval (6.53%). Our study recommended that, in mitigating the above disparities, we should foster open discussions about underlying factors contributing to PT in Bangladesh., (© 2024. The Author(s).)

Background: WHO currently recommends a single dose of typhoid conjugate vaccine (TCV) in high-burden countries based on 2-year vaccine efficacy data from large randomised controlled trials. Given the decay of immunogenicity, the protection beyond 2 years is unknown. We therefore extended the follow-up of the TyVAC trial in Bangladesh to assess waning of vaccine protection to 5 years after vaccination., Methods: We conducted a cluster randomised controlled trial (TyVAC; ISRCTN11643110) in Dhaka, Bangladesh, between 2018 and 2021. Children aged 9 months to 15 years were invited to receive a single dose of TCV or Japanese encephalitis vaccine between April 15, 2018, and November 16, 2019, based on the randomisation of their clusters of residence. Children who received the Japanese encephalitis vaccine were invited to receive TCV at the final visit between Jan 6, and Aug 31, 2021, according to the protocol. This follow-on study extended the follow-up of the original trial until Aug 14, 2023. The primary endpoint of this study was to compare the incidence of blood culture-confirmed typhoid between children who received TCV in 2018-19 (the previous-TCV group) and those who received the vaccine in 2021 (the recent-TCV group), to evaluate the relative decline in vaccine protection. We also did a nested study using the test-negative design comparing the recent-TCV and previous-TCV groups with unvaccinated individuals, as well as an immunogenicity study in a subset of 1500 children., Findings: Compared with the recent-TCV group, the previous-TCV group had an increased risk of typhoid fever between 2021-23, with an adjusted incidence rate ratio of 3·10 (95% CI 1·53 to 6·29; p<0·0001), indicating a decline in the protection of a single-dose of TCV 3-5 years after vaccination. The extrapolated vaccine effectiveness in years 3-5 was 50% (95% CI -13 to 78), and was validated using the test-negative design analysis, with a vaccine effectiveness of 84% (74 to 90) in the recent-TCV group and 55% (36 to 68) in the previous-TCV group, compared with unvaccinated individuals. Anti-Vi-IgG responses declined over the study period. The highest rate of decay was seen in children vaccinated at younger than 2 years in the original trial. The inverse correlation between age and the decay of antibodies was also seen in the subgroup analysis of vaccine effectiveness, where the youngest age group (<7 years at fever visits) exhibited the fastest waning, with vaccine effectiveness dropping to 24% (95% CI -29 to 55) at 3-5 years after vaccination., Interpretation: A decline in the protection conferred by a single-dose TCV was observed 3-5 years after vaccination, with the greatest decline in protection and immune responses observed in children vaccinated at younger ages. A booster dose of TCV around school entry age might be needed for children vaccinated while younger than 2 years to sustain protection against typhoid fever during the school years when the risk is the highest., Funding: The Bill & Melinda Gates Foundation., Competing Interests: Declaration of interests AJP is chair of the UK Department of Health and Social Care's Joint Committee on Vaccination; and was a member of the WHO's Strategic Advisory Group of Experts (SAGE) until 2022 and is chair of WHOs Techincal Advisory Group on Salmonella vaccines. FQ, VEP, and XL are members of the WHO SAGE typhoid working group. XL is a member of the WHO TAG on Salmonella vaccines. VEP is a member of the WHO Immunization and Vaccine related Implementation Research Advisory Committee. All other authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.)

Assessment of side effects associated with COVID-19 vaccination is required to monitor safety issues and acceptance of vaccines in the long term. We found a significant knowledge gap in the safety profile of COVID-19 vaccines in Bangladesh. We enrolled 1805 vaccine recipients from May 5, 2021, to April 4, 2023. Kruskal-Wallis test and χ2 test were performed. Multivariable logistic regression was also performed. First, second and third doses were administered among 1805, 1341, and 923 participants, respectively. Oxford-AstraZeneca (2946 doses) was the highest administered followed by Sinopharm BIBP (551 doses), Sinovac (214 doses), Pfizer-BioNTech (198 doses), and Moderna (160 doses), respectively. Pain at the injection site (80-90%, 3200-3600), swelling (85%, 3458), redness (78%, 3168), and heaviness in hand (65%, 2645) were the most common local effects, and fever (85%, 3458), headache (82%, 3336), myalgia (70%, 2848), chills (67%, 2726), muscle pain (60%, 2441) were the most prevalent systemic side effects reported within 48 h of vaccination. Thrombosis was only reported among the Oxford-AstraZeneca recipients (3.5-5.7%). Both local and systemic effects were significantly associated with the Oxford-AstraZeneca (p-value < 0.05), Pfizer-BioNTech (p-value < 0.05), and Moderna (p-value < 0.05) vaccination. Chronic urticaria and psoriasis were reported by 55-60% of the recipients after six months or later. The highest percentage of local and systemic effects after 2nd and 3rd dose were found among recipients of Moderna followed by Pfizer-BioNTech and Oxford-AstraZeneca. Homogenous doses of Oxford-AstraZeneca and heterogenous doses of Moderna and Pfizer-BioNTech were significantly associated with elevated adverse effects. Females, aged above 60 years with preexisting health conditions had higher risks. Vaccination with Pfizer-BioNTech (OR 4.34, 95% CI 3.95-4.58) had the highest odds of severe and long-term effects followed by Moderna (OR 4.15, 95% CI 3.92-4.69) and Oxford-AstraZeneca (OR 3.89, 95% CI 3.45-4.06), respectively. This study will provide an integrated insight into the safety profile of COVID-19 vaccines., (© 2024. The Author(s).)

Background: Globally, every year, 20 million neonates are born with weights below 2500 g and are considered low birth weight (LBW). About 90% of these births occur in low- and middle-income countries. Information regarding the geographical variation, socioeconomic inequalities of LBW neonates, and the relationship between maternal inadequate dietary diversity and LBW is limited in rural areas of Bangladesh. We aimed to explore the geographical disparities and socioeconomic inequalities in the prevalence of LBW and its association with inadequate maternal dietary diversity., Methods: We extracted data from a large-scale evaluation programme conducted as a part of the maternal infant and young child nutrition phase two in Bangladesh, implemented by BRAC. We used the concentration index (CIX) to measure the socioeconomic inequalities of LBW. We performed a cluster-adjusted multiple logistic regression analysis to determine the association between LBW and maternal dietary diversity., Results: A total of 4651 children aged <5 years with their mother's information were included. The overall prevalence of LBW was 13.5%. About 16% of mothers living in the poorest wealth quintile gave birth to LBW babies, whereas 10% of mothers living in the richest households gave birth to LBW babies. The CIX exhibited LBW babies were more prevalent among the socioeconomically worst-off (poorest) group (CIX = -0.08), indicating mothers of the poorest households are vulnerable to giving birth to normal-weight babies. An adjusted multiple logistic regression model indicated that mothers with inadequate dietary diversity had higher odds (adjusted odds ratio (AOR) = 1.27; 95% confidence interval (CI) = 1.04, 1.54) of giving birth to LBW babies. Notably, in the interaction of mothers' age and dietary diversity, we found that adolescent mothers (aged ≤ 19 years) with inadequate dietary diversity had 2.56 times (AOR = 2.56; 95% CI = 1.14, 5.76) higher odds of giving birth to LBW babies compared to adult mothers (aged >19 years) who consumed diversified foods., Conclusions: Intervention strategies for reducing LBW prevalence should target the poorest households. Also, interventions for improving the dietary diversity of adolescent pregnant mothers are expected to reduce the number of LBW babies from the rural areas of Bangladesh., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

University entrance test-takers are a vulnerable group of students transitioning from adolescence to youth, a peak time for adopting unhealthy behaviors. However, limited studies investigate substance use behaviors among this group. This study aimed to investigate the current (past 12 months) prevalence, associated risk factors, and geographic distribution of substance use behaviors, employing spatial analysis to identify regional disparities. A cross-sectional study was conducted utilizing convenience sampling in February 2024 among university entrance test-takers at Jahangirnagar University, Dhaka, Bangladesh (N = 1485). Participants provided information on socio-demographics, admission-related, depression (PHQ-9), anxiety (GAD-7), and substance use. Chi-square tests and logistic regression were employed to explore significant associations, with spatial analysis using ArcGIS to map substance use across districts. About 20.8% reported smoking, 10.1% reported drug use, and 9.9% reported alcohol consumption over the past 12 months. Males exhibited higher rates of smoking (23.1% vs. 17.6%) and alcohol consumption (10% vs. 9.7%), while females reported slightly higher rates of drug use (10.2% vs. 10%). Being female (AOR = 0.56; 95% CI: 0.40-0.79; p = 0.001), living in rural areas (AOR = 0.68; 95% CI: 0.49-0.94; p = 0.020), having a higher monthly family income (AOR = 1.72; 95% CI: 1.01-2.91; p = 0.042), a history of physical illness (AOR = 2.65; 95% CI: 1.87-3.76; p < 0.001), being a repeat test-taker (AOR = 1.49; 95% CI: 1.08-2.05; p = 0.014), and satisfaction with previous mock tests (AOR = 1.66; 95% CI: 1.20-2.28; p = 0.002) were significant risk factors for smoking. For drug use, belonging to a joint family (AOR = 1.71; 95% CI: 1.08-2.71; p = 0.021), having a history of physical illness (AOR = 2.57; 95% CI: 1.64-4.02; p < 0.001), and satisfaction with previous mock tests (AOR = 1.84; 95% CI: 1.20-2.83; p = 0.005) increased the risk. Additionally, a history of physical illness (AOR = 5.12; 95% CI: 3.27-8.02; p < 0.001) and satisfaction with previous mock tests (AOR = 1.78; 95% CI: 1.13-2.80; p = 0.013) were contributing factors to alcohol consumption. Spatial analyses indicated higher rates of substance use in border districts. The findings warrant targeted interventions, such as mental health support and substance use prevention programs, particularly in high-risk regions. By understanding the factors driving substance use, tailored strategies can be developed to reduce risk behaviors among university entrance test-takers, ultimately enhancing public health outcome in this vulnerable population., (© 2024. The Author(s).)

Background: Suicide stands as a global public health concern with a pronounced impact, especially in low- and middle-income countries, where it remains largely unnoticed as a significant health concern, leading to delays in diagnosis and intervention. South Asia, in particular, has seen limited development in this area of research, and applying existing models from other regions is challenging due to cost constraints and the region's distinct linguistics and behavior. Social media analysis, notably on platforms such as Facebook (Meta Platforms Inc), offers the potential for detecting major depressive disorder and aiding individuals at risk of suicidal ideation., Objective: This study primarily focuses on India and Bangladesh, both South Asian countries. It aims to construct a predictive model for suicidal ideation by incorporating unique, unexplored features along with masked content from both public and private Facebook profiles. Moreover, the research aims to fill the existing research gap by addressing the distinct challenges posed by South Asia's unique behavioral patterns, socioeconomic conditions, and linguistic nuances. Ultimately, this research strives to enhance suicide prevention efforts in the region by offering a cost-effective solution., Methods: This quantitative research study will gather data through a web-based platform. Initially, participants will be asked a few demographic questions and to complete the 9-item Patient Health Questionnaire assessment. Eligible participants who provide consent will receive an email requesting them to upload a ZIP file of their Facebook data. The study will begin by determining whether Facebook is the primary application for the participants based on their active hours and Facebook use duration. Subsequently, the predictive model will incorporate a wide range of previously unexplored variables, including anonymous postings, and textual analysis features, such as captions, biographic information, group membership, preferred pages, interactions with advertisement content, and search history. The model will also analyze the use of emojis and the types of games participants engage with on Facebook., Results: The study obtained approval from the scientific review committee on October 2, 2023, and subsequently received institutional review committee ethical clearance on December 8, 2023. Our system is anticipated to automatically detect posts related to depression by analyzing the text and use pattern of the individual with the best accuracy possible. Ultimately, our research aims to have practical utility in identifying individuals who may be at risk of depression or in need of mental health support., Conclusions: This initiative aims to enhance engagement in suicidal ideation medical care in South Asia to improve health outcomes. It is set to be the first study to consider predicting participants' primary social application use before analyzing their content to forecast behavior and mental states. The study holds the potential to revolutionize strategies and offer insights for scalable, accessible interventions while maintaining quality through comprehensive Facebook feature analysis., International Registered Report Identifier (irrid): DERR1-10.2196/55511., (©Manoshi Das Turjo, Khushboo Suchit Mundada, Nuzhat Jabeen Haque, Nova Ahmed. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 07.10.2024.)

Background: Rising antimicrobial resistance (AMR) in Salmonella Typhi restricts typhoid treatment options, heightening concerns for pan-oral drug-resistant outbreaks. However, lack of long-term temporal surveillance data on AMR in countries with high burden like Bangladesh is scarce. Our study explores the AMR trends of Salmonella Typhi isolates from Bangladesh, drawing comparisons with antibiotic consumption to optimize antibiotic stewardship strategies for the country., Methodology/principal Findings: The typhoid fever surveillance from 1999 to 2022 included two pediatric hospitals and three private clinics in Dhaka, Bangladesh. Blood cultures were performed at treating physicians' discretion; cases were confirmed by microbiological, serological, and biochemical tests. Antibiotic susceptibility was determined following CLSI guidelines. National antibiotic consumption data for cotrimoxazole, ciprofloxacin, and azithromycin was obtained from IQVIA-MIDAS database for comparison. Over the 24 years of surveillance, we recorded 12,435 culture-confirmed typhoid cases and observed declining resistance to first-line drugs (amoxicillin, chloramphenicol, and cotrimoxazole); multidrug resistance (MDR) decreased from 38% in 1999 to 17% in 2022. Cotrimoxazole consumption dropped from 0.8 to 0.1 Daily defined doses (DDD)/1000/day (1999-2020). Ciprofloxacin non-susceptibility persisted at >90% with unchanged consumption (1.1-1.3 DDD/1000/day, 2002-2020). Low ceftriaxone resistance (<1%) was observed, with slightly rising MIC (0.03 to 0.12 mg/L, 1999-2019). Azithromycin consumption increased (0.1 to 3.8 DDD/1000/day, 1999-2020), but resistance remained ≤4%., Conclusion: Our study highlights declining MDR amongst Salmonella Typhi in Bangladesh; first-line antimicrobials could be reintroduced as empirical treatment options for typhoid fever if MDR rates further drops below 5%. The analysis also provides baseline data for monitoring the impact of future interventions like typhoid conjugate vaccines on typhoid burden and associated AMR., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Tanmoy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: The global pandemic caused by SARS-CoV-2 has underlined the significance of strict genomic surveillance to track virus evolution and the possible emergence of new variants, particularly in densely populated countries like Bangladesh. This study outlines a strategic framework of genomic surveillance to track the evolution of the virus in Bangladesh between June 2021 and December 2022 through the National SARS-CoV-2 Variant Surveillance (NSVS) program involving collaboration across 4 major institutes and 13 hospitals nationwide., Methods: We aimed to capture the variants of SARS-CoV-2 throughout the country utilizing standardized procedures, modern sequencing technology, and stringent quality control, promoting data accuracy and the timely detection of new variants of concern. We sequenced over 2200 genomes, documenting the prevalence of the Delta variant initially, followed by the emergence of Omicron variants BA.1, BA.2, BA.5, and XBB, each affecting transmission rates and vaccine efficacy differently., Results: The clinical manifestations of the variants differed, with some symptoms occurring more frequently in Delta cases and vice versa. Vaccinated individuals were more affected by Omicron cases compared to Delta cases. These variants were responsible for two major COVID-19 waves in the country, each with significant clinical effects. Phylogenetic analyses placed the local SARS-CoV-2 variants within a global context, indicating the Delta variant likely entered from India and Omicron from Europe., Conclusion: This research highlights the significance of collaborative surveillance strategies for guiding public health choices and the critical role of genomic analysis in monitoring virus evolution, shaping targeted pandemic responses. Bangladesh's contributions significantly enhance global insight into COVID-19's genomic evolution., (© 2024 The Author(s). Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.)

Objective: Night eating syndrome (NES) has been associated with psychological issues and academic performance among university students in several countries, yet research on NES in Bangladesh remains limited. Therefore, the purpose of the study was to examine the prevalence and factors associated with NES among university students in the country., Methods: This cross-sectional study included 500 students from five public universities in Bangladesh. A validated 14-item night eating questionnaire was used to assess NES as the outcome variable. Demographic factors, depressive symptoms measured via the Patient Health Questionnaire (PHQ-9), and internet addiction levels measured via Orman's Internet Addiction Survey (OIAS) were explored as predictor variables. A multiple binary logistic regression model was fitted to identify the correlation of NES and its associated factors, with results presented as adjusted odds ratio (AOR) and level of significance set at p values < 0.05., Results: The prevalence of NES among participants was 16.6% (mean age = 21.6 years, 53.6% male). Adjusted binary logistic regression revealed that male participants (AOR = 2.03, 95% CI = 1.09-3.74, p = 0.024), smoking (AOR = 1.92, 95% CI = 1.02-4.44, p = 0.044), depressive symptoms (AOR = 2.17, 95% CI = 1.26-3.72, p = 0.005), and severe internet addiction (AOR = 2.69, 95% CI = 1.28-5.62, p = 0.009) were significantly associated with increased odds of experiencing NES., Conclusions: These findings underscore the need for heightened healthy eating awareness programs along with targeted mental health interventions with students attending Bangladeshi universities. Further research that explores longitudinal patterns of NES and the risk factors addressed in this study is warranted to better understand and inform the development of future interventions to benefit the Bangladeshi university student population., (© 2024 The Author(s). Brain and Behavior published by Wiley Periodicals LLC.)

Introduction: Memory complaints resulting from COVID-19 may have a significant impact on the survivors' quality of life. Unfortunately, there is insufficient information available on memory loss and its relationship to COVID-19. Therefore, the purpose of this research was to determine the prevalence of memory complaints in post-COVID-19 patients and to find potential contributing factors., Method: A cross-sectional survey was conducted on 401 individuals who had previously been diagnosed with COVID-19 at four COVID testing centers situated across Bangladesh. The MAC-Q questionnaire was used to evaluate memory. A binary logistic regression model was fit to study the variables related to memory complaints, with a p-value of <0.05 deemed statistically significant., Result: Memory complaints was prevalent in 19.2% of the post-COVID patients. Individual predictor analysis revealed that among the treatment modalities, steroids and antibiotics were associated with impaired memory. Multiple logistic regression showed that individuals who recovered from COVID-19 within six to twelve months were more likely to have memory deficits. Even though age, sex, oxygen demand, and hospitalization were not linked with memory complaints, rural residents exhibited more significant memory complaints than urban residents., Conclusion: Nearly one-fifth of the COVID-19 patients suffer from various degrees of memory complaints within one year. However, no association was found between COVID-19 severity to memory complaints., (Copyright © 2022 Sociedad Española de Neurología. Published by Elsevier España, S.L.U. All rights reserved.)

Dengue, a viral infection transmitted by mosquitoes, has become a substantial public health issue in Bangladesh. The high population density and subtropical-tropical climate of the nation create conducive environments for the transmission of the virus. The recent increase in dengue cases in Bangladesh prompts an inquiry into the potential for the virus to progress into an epidemic manifestation. Bangladesh is prone to dengue outbreaks due to a multitude of contributing factors. To commence, the virus is endemic to tropical and subtropical regions, and climate change is contributing to the expansion of its range. Additionally, the high population density in Bangladesh amplifies the vulnerability to dengue transmission. Intimate human proximity elevates the probability of contracting mosquito stings and transmitting viruses. The escalating incidence of dengue in Bangladesh is substantiated by the growing count of documented cases. The emergence of severe dengue is a contributing aspect that raises concerns about the potential worldwide consequences of the disease. It could potentially head from Bangladesh to neighboring nations via an infected individual. There exist apprehensions due to the substantial employment of Bangladeshi laborers overseas, compounded by the presence of foreign laborers within Bangladesh. The endeavor to control dengue in Bangladesh continues to face ongoing challenges. This review addresses the complexities of dengue transmission, assesses Bangladesh's readiness for managing epidemics, analyzes risk factors associated with dengue, and suggests preventive measures to mitigate the possibility of worldwide consequences of dengue originating within the nation.

Background: Studies have shown that abnormal temperature at night is a risk factor for respiratory health. However, there is limited evidence on the impact of hot and cold nights on cause-specific diseases such as pneumonia, which is a leading cause of morbidity and mortality in children., Methods: We collected daily data on pneumonia hospitalisations in children under five years from 2011 to 2017 in three low-, middle- and high-income countries (Bangladesh, China, and Australia). The intensity of hot and cold nights was measured by excess temperature. A space-time-stratified case-crossover analysis was used to estimate the association between hot and cold nights and childhood pneumonia hospitalisations. We further estimated the fraction of childhood pneumonia hospitalisations attributable to hot and cold nights., Results: Both hot and cold nights were associated with an increased risk of hospitalisations for childhood pneumonia in low-, middle-, and high-income countries, with a greater disease burden from hot nights. Specifically, the fraction of childhood pneumonia attributable to hot nights was the largest in Australia [21.2%, 95% confidence interval (CI): 11.8%-28.1%], followed by Bangladesh (15.2%, 95% CI: 4.1%-23.8%) and China (2.7%, 95% CI: 0.4%-4.7%). Additionally, the fraction of childhood pneumonia attributable to cold nights was 1.3% (95% CI: 0.4%-2.0%) in Bangladesh and 0.4% (95% CI: 0.1%-0.7%) in China., Conclusion: This multi-country study suggests that hot and cold nights are not only associated with a higher risk of pneumonia hospitalisations in children but also responsible for substantial fraction of hospitalisations, with a greater impact from hot nights., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The distribution of farm locations and sizes is paramount to characterize patterns of disease spread. With some regions undergoing rapid intensification of livestock production, resulting in increased clustering of farms in peri-urban areas, measuring changes in the spatial distribution of farms is crucial to design effective interventions. However, those data are not available in many countries, their generation being resource-intensive. Here, we develop a farm distribution model (FDM), which allows the prediction of locations and sizes of poultry farms in countries with scarce data. The model combines (i) a Log-Gaussian Cox process model to simulate the farm distribution as a spatial Poisson point process, and (ii) a random forest model to simulate farm sizes (i.e. the number of animals per farm). Spatial predictors were used to calibrate the FDM on intensive broiler and layer farm distributions in Bangladesh, Gujarat (Indian state) and Thailand. The FDM yielded realistic farm distributions in terms of spatial clustering, farm locations and sizes, while providing insights on the factors influencing these distributions. Finally, we illustrate the relevance of modelling realistic farm distributions in the context of epidemic spread by simulating pathogen transmission on an array of spatial distributions of farms. We found that farm distributions generated from the FDM yielded spreading patterns consistent with simulations using observed data, while random point patterns underestimated the probability of large outbreaks. Indeed, spatial clustering increases vulnerability to epidemics, highlighting the need to account for it in epidemiological modelling studies. As the FDM maintains a realistic distribution of farm location and sizes, its use to inform mathematical models of disease transmission is particularly relevant for regions where these data are not available., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Dupas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)