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To identify risk factors for death from pandemic (H1N1) 2009, we obtained data for 157 hospitalized patients with confirmed cases of this disease. Multivariate analysis showed that diabetes and class III obesity were associated with death. These findings helped define priority vaccination groups in Brazil. [ABSTRACT FROM AUTHOR]

Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil, our understanding of disease outbreaks is hampered by limited viral genomic data. Here, through a combination of phylogenetic and epidemiological models, we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated Aedes aegypti was able to capture the seasonality of reported human infections. Spatial modeling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centers in the Southeast. Phylodynamic analysis unraveled the circulation of three distinct lineages and provided proof of the directionality of a known spatial corridor that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control.

This paper aimed to describe health insurance coverage in Brazil. Data from the 2013 and 2019 editions of the National Health Survey (PNS) were analyzed. The medical or dental health insurance coverage was analyzed according to demographic and socioeconomic characteristics, work status, urban/rural area, and Federation Unit. Coverage of medical or dental health insurance was 27.9% (95% CI: 27.1-28.8) for 2013 and 28.5% (95% CI: 27.8-29.2) for 2019. The results show coverage is still concentrated in large urban centers, in the Southeast and South, among those with better socioeconomic status and some formal employment. In 2019, only 30.7% of formal workers reported the monthly payment is made directly to the providers, while 72.7% of informal workers reported this information. About 92% of medical health insurance covers hospitalization, and almost 20% of women with health insurance are not covered for labor. Only 11.7% of women aged between 15 and 44 are covered for childbirth by health insurance. The results show the health insurance coverage is still quite unequal, reinforcing the Unified Health System (SUS) importance for the Brazilian population.

This study aimed to investigate changes in the health service use pattern based on information from the 2013 and 2019 National Health Surveys (PNS). The two outcomes, "Seeking health-related care in the past two weeks" and "Medical visit in the last twelve months", were analyzed according to socioeconomic, geographic and health conditions characteristics. Multivariate Poisson regression models were used to investigate the factors associated with seeking care due to a health problem or prevention. The prevalence of chronic diseases increased from 15.0% to 22.5% between 2013 and 2019. The proportion of seeking care increased from 15.3 to 18.6%, and medical visits from 71.2% to 76.2%, ranging from 61.4 to 75.8% and 68.0 to 80.6% between the North and Southeast regions. There was no significant association of seeking care due to a health problem with per capita income, after controlling for the other covariates. We conclude by saying that, despite the expanded coverage of health service use, the persistent regional inequalities indicate unmet health needs among residents of the less developed regions. Health care models focused on prevention and health promotion are required.

Objective: To provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil., Design: Retrospective cohort study of hospitalised patients diagnosed with COVID-19., Setting: Data from all hospitals across Brazil., Participants: 522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19., Primary and Secondary Outcome Measures: Prevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression., Results: Of the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47-73), and of non-survivors 71 years (IQR, 60-80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3-9) and 7 days (IQR, 3-10), respectively; 15 days (IQR, 9-24) to death and 15 days (IQR, 11-20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20., Conclusions: Characteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objetivo: To analyze the temporal trend of overweight and obesity prevalence rates among adults in the Brazilian state capitals and Federal District between 2006 and 2019., Methods: This was a time series study using data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, 2006-2019 (n=730,309). Prevalence of overweight and obesity for each of the years was analyzed, according to combined sex, age, and schooling. Temporal variation trend was analyzed using Prais-Winsten regression., Results: Variations in overweight prevalence were observed, mainly among males 18-24 years old with up to 8 years of schooling (3.17%/year) and among women between 18-24 years old with more than 12 or more years of schooling (6.81% /year). Variations in obesity prevalence were found mainly among women 18-24 years old with more than 12 years of schooling (10.79%/year)., Conclusion: There was an increase in overweight and obesity in most of the socio-demographic strata studied, especially among more educated young people.

This article presents the history and construction of the National Health Survey (PNS) 2019, a household survey conducted in partnership with the Brazilian Institute of Geography and Statistics. The objective of PNS 2019 was to provide the country with information on the health determinants, conditionants and needs of the Brazilian population. The expected sample was 108,525 households, considering a 20% non-response rate. The questionnaire had three parts, covering: (i) the household; (ii) all residents of the household, focusing on collection of socioeconomic and health information; and (iii) the selected resident (15 years old or more) for whom lifestyles, chronic diseases, violence, among other topics were investigated, as well as their anthropometric measurements (subsample). The information provided by PNS 2019 will serve as a basis for the (re)formulation of health policies, as well as support for existing actions and programs of the Brazilian National Health System.

Background: The present study sought to analyze smoking prevalence and smoking-attributable mortality estimates produced by the 2017 Global Burden of Disease Study for Brazil, 26 states, and the Federal District., Methods: Prevalence of current smokers from 1990 to 2017 by sex and age was estimated using spatiotemporal Gaussian process regression. Population-attributable fractions were calculated for different risk-outcome pairs to generate estimates of smoking-attributable mortality. A cohort analysis of smoking prevalence by birth-year cohort was performed to better understand temporal age patterns in smoking. Smoking-attributable mortality rates were described and analyzed by development at state levels, using the Socio-Demographic Index (SDI). Finally, a decomposition analysis was conducted to evaluate the contribution of different factors to the changes in the number of deaths attributable to smoking between 1990 and 2017., Results: Between 1990 and 2017, prevalence of smoking in the population (≥ 20 years old) decreased from 35.3 to 11.3% in Brazil. This downward trend was seen for both sexes and in all states, with a marked reduction in exposure to this risk factor in younger cohorts. Smoking-attributable mortality rates decreased by 57.8% (95% UI - 61.2, - 54.1) between 1990 and 2017. Overall, larger reductions were observed in states with higher SDI (Pearson correlation 0.637; p < 0.01). In Brazil, smoking remains responsible for a considerable amount of deaths, especially due to cardiovascular diseases and neoplasms., Conclusions: Brazil has adopted a set of regulatory measures and implemented anti-tobacco policies that, along with improvements in socioeconomic conditions, have contributed to the results presented in the present study. Other regulatory measures need to be implemented to boost a reduction in smoking in order to reach the goals established in the scope of the 2030 United Nations Agenda for Sustainable Development.

Objective: To describe COVID-19 hospitalized health worker cases in Brazil., Methods: This was a descriptive case series study; it included cases that became ill between February 21st and April 15th, 2020 registered on the Influenza Surveillance Information System (SIVEP-Gripe, acronym in Portuguese)., Results: Of the 184 cases, 110 (59.8%) were female and median age was 44 years (min-max: 23-85); 89 (48.4%) were nursing professionals and 50 (27.2%) were doctors. Ninety-two (50.0%) presented comorbidity, with heart disease predominating (n=37; 40.2%). Of the 112 professionals with a record of case progression, 85 (75.9%) were cured and 27 (24.1%) died, 18 of whom were male., Conclusion: The profile of COVID-19 hospitalized health workers is similar to that of the general population with regard to age and comorbidities, but different in relation to sex. The most affected areas were nursing and medicine.

Objetive: To analyze the trends of COVID-19 in Brazil in 2020 by Federal Units (FU)., Method: Ecological time-series based on cumulative confirmed cases of COVID-19 from March 11 to May 12. Joinpoint regression models were applied to identify points of inflection in COVID-19 trends, considering the days since the 50 th confirmed case as time unit., Results: Brazil reached its 50 th confirmed case of COVID-19 in 11 March 2020 and, 63 days after that, on May 12, 177,589 cases had been confirmed. The trends for all regions and FU are upward. In the last segment, from the 31 st to the 63 rd day, Brazil presented a daily percentage change (DPC) of 7.3% (95%CI= 7.2;7.5). For the country the average daily percentage change (ADPC) was 14.2% (95%CI: 13.8;14.5). The highest ADPC values were found in the North, Northeast and Southeast regions., Conclusions: In summary, our results show that all FUs in Brazil present upward trends of COVID-19. In some FUs, the slowdown in DPC in the last segment must be considered with caution. Each FU is at a different stage of the pandemic and, therefore, non-pharmacological measures should be adopted accordingly., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The first case of COVID-19 was detected in Brazil on 25 February 2020. We report and contextualize epidemiological, demographic and clinical findings for COVID-19 cases during the first 3 months of the epidemic. By 31 May 2020, 514,200 COVID-19 cases, including 29,314 deaths, had been reported in 75.3% (4,196 of 5,570) of municipalities across all five administrative regions of Brazil. The R 0 value for Brazil was estimated at 3.1 (95% Bayesian credible interval = 2.4-5.5), with a higher median but overlapping credible intervals compared with some other seriously affected countries. A positive association between higher per-capita income and COVID-19 diagnosis was identified. Furthermore, the severe acute respiratory infection cases with unknown aetiology were associated with lower per-capita income. Co-circulation of six respiratory viruses was detected but at very low levels. These findings provide a comprehensive description of the ongoing COVID-19 epidemic in Brazil and may help to guide subsequent measures to control virus transmission.

Objective to describe the evolution of COVID-19 in Brazil up until epidemiological week 20 of 2020. Methods this is an ecological study based on data and official documents from the Brazilian Ministry of Health and international organizations; comparisons were made between Brazil and other countries and incidence and mortality rates were calculated. Results by the end of epidemiological week 20, 233,142 cases, and 15,633 deaths had been confirmed for Brazil as a whole and 3,240 (58.2%) of the country's municipalities had reported at least one case; Brazil was at an earlier phase of the pandemic when compared to other countries, except Russia and Turkey, regarding cumulative cases, and except Canada regarding cumulative deaths; the highest rates were found in Brazil's Northern Region states, where Amazonas state had the highest incidence rates(4,474.6/1,000,000) and mortality rates (331.8/1,000,000). Conclusion Brazil is one of the countries with the highest number of confirmed cases and deaths, with marked regional differences.

Objectives: We evaluated the leprosy surveillance system in the Amazon region, Brazil, 2001-2007, using evaluation guidelines from the US Centers for Disease Control and Prevention., Results: We found that the leprosy surveillance system in the Amazon region is simple, presents good data quality and is representative in describing the sociodemographic profile and clinical classification of cases. The predictive value positive is high and its sensitivity is unknown. The grade two disability artificially increased in 2007 during the transition to a new version of the information system. The cases are reported, receive treatment and are discharged from the system as treatment completion in a timely fashion. Nevertheless, the dermatological and neurological examination introduces complexity to the system, which may account for the irregular data quality related to the evaluation of the disability degree, the system's lack of representativeness to describe mild neurological manifestations and low proportion of household contacts investigated., Conclusions: Despite its limitations, the leprosy surveillance system proved to be useful. Recommendations for its improvement were issued based on the results found. More data on surveillance systems in endemic countries are needed to facilitate valid comparisons between country indicators.