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Background: Human activities, such as urbanization and climate change, have facilitated the spread of arbovirus-carrying vectors, disproportionately affecting vulnerable traditional Indigenous communities. Objective: To explore the relationships between subclinical myocardial dysfunction, assessed by global longitudinal strain (GLS), and comprehensive arbovirus serology in an Indigenous population, while also describing the serological and epidemiological profile of dengue, chikungunya, and Zika viruses. Methods: This ancillary study is part of the first phase (2016–2017) of the Project of Atherosclerosis among Indigenous Populations (PAI), a cross-sectional study involving participants from two Indigenous communities with different degrees of urbanization and a highly urbanized city in Northeast Brazil. We assessed the seroprevalence of dengue, chikungunya, and Zika viruses in the Fulni-ô Indigenous community, the less urbanized and most traditional group. Additionally, we explored the relationship between these viruses and subclinical heart disease, assessed by speckle-tracking echocardiography-derived GLS. Results: One hundred seventy-four participants were included, with a median age of 45.0 years (interquartile range 38.0–55.0). The majority were female (58.6%; n = 102). The prevalence of anti-ZIKV IgG was 95.3%; anti-DENV IgG was 85.8%, and anti-CHIKV IgG was 70.9%. GLS abnormalities were detected in nearly half (48.3%) of the cohort. However, no significant association was found between arbovirus serology and GLS. Conclusions: The findings reveal a high prevalence of positive serology for arboviruses and a significant rate of subclinical cardiac dysfunction. There was no significant association between reduced left ventricular longitudinal strain and positive arbovirus serology, likely due to the limited number of participants with indications of acute contact with the viruses studied. However, the unprecedented and relevant results of this study are noteworthy, as they address critical public health issues, particularly in vulnerable populations. Further research is needed to explore these findings in more depth. [ABSTRACT FROM AUTHOR]

Background: The death of women as a result of violent crime has become a major social and health problem worldwide. Most of these crimes are committed by their partners. The Covid-19 pandemic seems to have amplified the problem, given that measures to contain the spread of the disease have exposed women to more prolonged contact with their aggressors. Objective: To describe the epidemiological profile of lethal and intentional violent crimes committed against women in the state of Alagoas, Brazil, from March 2018 to February 2020 (before the pandemic) and from March 2020 to December 2021 (during the first two years of the Covid-19 pandemic). Methods: This is an observational study involving all deaths of women due to lethal and intentional violent crimes. The data was obtained from the Alagoas State Secretariat for Public Security. The variables age, type of crime, means used, day of the week and time of the crime were analyzed. The specific mortality rate was calculated for the entire study period. Population data was obtained from the Brazilian Institute of Geography and Statistics (IBGE). Descriptive statistics were used to analyze the data. Results: There were 316 deaths during the study period. The mortality rate in 2020 (5.33/100,000) was higher than in the years prior to the pandemic (3.88/100,000 in 2018 and 4.84/100,000 in 2019). There was a predominance of the 18–29 (31.31%) and 30–39 (27.95%) age groups in both periods. The proportion of female homicides was 55.19% in the pre-pandemic period and 64.20% in the pandemic period. The proportion of beating deaths was 1.7 times higher in the pandemic period than in the non-pandemic period (15.23% vs. 8.97%). There was also an increase in beatings on Saturdays, with a proportion 1.60 times higher than in the pre-pandemic period (19.75% vs. 12.34%). Conclusion: The victims were predominantly young women, the crimes classified as homicides and with the use of firearms. The study emphasizes that the context of the Covid-19 pandemic may have contributed to the increase in violent crimes against women in Alagoas, highlighting the urgency of preventive measures and support for victims. [ABSTRACT FROM AUTHOR]

Background: Human immunodeficiency virus (HIV) infection is a health problem in Brazil and worldwide. Without treatment, the infection can progress to Acquired Immunodeficiency Syndrome (AIDS), with a high mortality potential. The objective of this study was to analyze the time trend of AIDS mortality in Brazil, macro-regions, federal units and their respective capitals, from 2012 to 2022. Methods: This is a time-series study of all AIDS deaths in Brazil from 2012 to 2022. The study included the annual number of deaths and the crude and standardized mortality rates. The Joinpoint regression model was used for the time analysis of the standardized rates. Annual percentage change (APC) and average annual percentage change (AAPC) were calculated. A 95% confidence interval (CI) and a 5% significance level were used. Results: During the period analyzed, 128,678 AIDS deaths were recorded in Brazil, with a crude mortality rate of 6.3/100,000 and a standardized mortality rate of 5.3/100,000. From 2012 to 2020, three regions showed a declining trend in AIDS mortality: Central-West (AAPC − 2.3%; 95%CI -4.3 to -0.21; p = 0.03), Southeast (AAPC − 5.6%; 95%CI -6.8 to -4.0; p < 0.001), and South (AAPC − 4.4%; 95%CI -5.27 to -3.6; p < 0.001). There was also a downward trend in 10 states and 10 capitals. There was an increase in the number of deaths from 2020 onwards in the North, Northeast and Southeast regions compared to 2019. Conclusion: There was a downward trend in AIDS mortality from 2012 to 2020 and an upward trend from 2020 to 2022. The regional differences observed could reflect the social disparities that exist in Brazil. In addition, the Covid-19 pandemic has had an impact on the process of dealing with HIV in Brazil. [ABSTRACT FROM AUTHOR]

Background: Pentraxin 3 (PTX3) is an acute-phase protein that belongs to the pentraxin family, which plays an important role in the body's defense against pathogens. PTX3 levels have been associated with inflammatory processes, and it is a possible biomarker for the diagnosis and prognosis of different infectious diseases, including COVID-19. The objective of this study was to analyze the potential of PTX3 as a plasma biomarker for predicting death in patients hospitalized with COVID-19. Methods: The study included a total of 312 patients with COVID-19, admitted from July 2020 to August 2021 to hospital ward and intensive care unit beds at two hospitals in the Northeast Region of Brazil. PTX3 was measured using ELISA in samples collected within 24 h after hospital admission. Maximally selected rank statistics were used to determine the PTX3 cutoff point that best distinguished patients who died from those who survived. A receiver operating characteristic (ROC) curve was used to determine the performance of the biomarker. Survival analysis was performed using a Kaplan-Meier curve, and a Cox regression model was used to determine predictors associated with death. Results: Of the 312 patients included in the study, 233 recovered and 79 died. Patients who died had higher PTX3 levels at the time of admission, when compared to those who recovered (median: 52.84 versus 10.79 ng/mL; p < 0.001). PTX3 showed area under the ROC (AUC) = 0.834, higher than other markers used in clinical practice, such as C-reactive protein (AUC = 0.72) and D-dimer (AUC = 0.77). Furthermore, according to the Kaplan-Meier survival curve, patients with PTX3 concentrations above the cutoff point (27.3 ng/mL) had a lower survival rate (p = 0.014). In multivariate Cox regression, PTX3 > 27.3 ng/mL was an important predictor of death, regardless of other confounding factors (hazard ratio = 1.79; p = 0.027). Conclusion: PTX3 can be considered as a potential biomarker for predicting death in patients hospitalized with COVID-19. [ABSTRACT FROM AUTHOR]

Background: Previne Brasil is a new way of financing Primary Health Care (PHC) in Brazil that places users of public health services at the center of the system's analysis and attention through the use of seven performance indicators. This study aims to analyze the performance of Primary Health Care in Brazil under the new financing model (Previne Brasil) in the period from the first four months of 2022 to the first four months of 2023. Methods: This is a territorial ecological study using secondary data from the Primary Care Health Information System (SISAB). Seven performance indicators were included and analyzed according to Brazil, its regions, states and capitals. A comparative descriptive analysis was carried out between the spatial units. Results: Of the seven indicators analyzed, only one (Proportion of pregnant women tested for syphilis and HIV) reached the proposed target considering the average of the four-month periods evaluated (target: 60%; Observed: 62.5%). The Northeast was the region with the best performance, surpassing the target in three of the seven indicators (prenatal consultations, tests for syphilis and HIV in pregnant women and dental care for pregnant women). The states and capitals showed progressive improvement in the performance indicators over the four quarters analyzed, although unevenly between the indicators. The indicators related to hypertension and diabetes were the worst. The Final Synthetic Indicator (FSI) showed an increase in the median over the four quarters (4.78; 5.65; 6.02 6.29), which represents an increase of 1.51 in the indicator between the first four months of 2022 and the first four months of 2023. Conclusion: Although there have been improvements in the performance of Primary Health Care in Brazil, the achievement of the agreed targets for the indicators seems a long way off. The socio-spatial inequalities in the indicators reflect the country's health complexity and reinforce the need for policies that take into account the local-regional context. [ABSTRACT FROM AUTHOR]

Background: Pentraxin 3 (PTX3) is a soluble pattern recognition receptor that plays a crucial role in modulating the inflammatory response and activating the complement system. Additionally, plasma PTX3 has emerged as a potential biomarker for various infectious diseases. The aim of this study was to evaluate the association of PTX3 gene polymorphisms and PTX3 plasma levels with susceptibility to leprosy and clinical characteristics. Methods: Patients with leprosy from a hyperendemic area in the Northeast Region of Brazil were included. Healthy household contacts and healthy blood donors from the same geographical area were recruited as a control group. The rs1840680 and rs2305619 polymorphisms of PTX3 were determined by real-time PCR. Plasma levels of PTX3 were determined by ELISA. Results: A total of 512 individuals were included. Of these, 273 were patients diagnosed with leprosy; 53 were household contacts, and 186 were healthy blood donors. No association was observed between PTX3 polymorphisms and susceptibility to leprosy or development of leprosy reaction or physical disability. On the other hand, plasma levels of PTX3 were significantly higher in patients with leprosy when compared to household contacts (p = 0.003) or blood donors (p = 0.04). It was also observed that PTX3 levels drop significantly after multidrug therapy (p < 0.0001). Conclusions: Our results suggest that PTX3 may play an important role in the pathogenesis of leprosy and point to the potential use of this molecule as an infection marker. [ABSTRACT FROM AUTHOR]

The mpox outbreaks reported in several countries from May 2022 have shown an epidemiological profile different from that observed in previous years, raising a global public health alert. This issue is particularly important for Brazil, the second country with the highest number of mpox cases. Herein, we performed a retrospective cross‐sectional study on mpox cases notified in Pernambuco state, northeastern Brazil, between July 2022 and March 2023. Confirmed mpox cases were analyzed in a space‐time series and their social and clinical characteristics were compared with those of suspect‐negative cases, including a multivariate logistic regression to identify predictors associated with a positive diagnosis. A total of 1493 suspected mpox cases were reported, of which 362 cases (24.2%) were confirmed and distributed in 33 municipalities. Most mpox cases occurred between epidemiological weeks (EW) 33 and 39 of 2022, with the highest moving average in EW 34 and 35 (36 and 31.5, respectively). The most frequent clinical signs and symptoms were rash (87.3%), fever (60.2%), headache (45.3%), and genital/perianal lesions (40.3%). In the multivariate analysis, three variables showed considerable performance in predicting a positive mpox diagnosis (area under the ROC curve = 0.87; 95% CI: 0.84−0.90): sexual orientation (nonheterosexual; OR: 23.08; 95% CI: 13.97−38.15), male sex (OR: 2.05; 95% CI: 1.10−3.85), and multiple partnerships (OR: 1.95; 95% CI: 1.15−3.32). Overall, in addition to the detailed spatiotemporal description of mpox cases, which may contribute to appropriate public health measures, our study brings insights into mpox epidemiology by describing predictors associated with a positive diagnosis. [ABSTRACT FROM AUTHOR]

Background: Chronic kidney disease (CKD) is a prevalent disease worldwide, with increasing incidence particularly in low- and middle-income countries. Indigenous communities have poorer CKD outcomes due to limited access to healthcare. They are also experiencing a shift toward a sedentary lifestyle and urbanization-related dietary changes, increasing the risk of CKD-related risk factors. Aim: To determine the prevalence of CKD in older Brazilian indigenous and identify the main associated risk factors. Methods: This cross-sectional study analyzed demographic and clinical data of 229 older indigenous individuals aged 60 years and above in 2022–2023. CKD was defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2 or a urinary albumin–creatinine ratio > 30 mg/g. Data were presented categorically and analyzed using the Chi-square test or Fisher's exact test. Results: The prevalence of CKD in the population was 26.6%, with higher prevalence in women and increasing with age. The prevalence of hypertension and diabetes was 67.7% and 24.0%, respectively, and these comorbidities were associated with CKD: hypertension (OR = 5.12; 95% CI 2.2–11.9) and diabetes (OR = 5.5; 95% CI 3.7–8.2). No association was found between the prevalence of CKD and obesity, dyslipidemia, cardiovascular disease, or smoking. Discussion: The study found a higher prevalence of CKD among older indigenous populations in Brazil compared to non-indigenous populations, which is exacerbated by risk factors, such as aging, hypertension, diabetes, and lifestyle changes, emphasizing the importance of early detection and intervention in these communities. Conclusion: Older persons' indigenous individuals have a high prevalence of CKD, which is correlated with factors, such as sex, age, diabetes mellitus, and hypertension. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, a reduction in vaccination coverage of children and adolescents was observed in several countries. The aim of this study was to assess the impact of the pandemic, in the first two years, on human rotavirus vaccine (HRV) coverage in Brazil compared with previous years. The number of doses of HRV administered in the period from January 2015 to December 2021 and its annual vaccination coverage were analyzed. The vaccination coverage decreased to 77.3% in 2020 and to 70.4% in 2021, substantially lower than the minimum that would be expected (89.2%); the decline was more pronounced in the second year of the pandemic despite the fact that in this period, the circulation restrictions were already less tight. Of the five Brazilian macro-regions, the northeast had the largest decline, and the south had the smallest impact on coverage. At the municipal level, less than half of the Brazilian municipalities managed to achieve vaccination coverage above 90% in either pandemic year. Although there was already a downward trend in coverage in the pre-pandemic years, the present study shows that the values recorded in 2020 and 2021 were significantly lower. Monitoring of vaccination coverage in the coming years should be carried out continuously in order to avoid a possible resurgence of rotavirus-induced diarrhea. [ABSTRACT FROM AUTHOR]

Background: The 69th World Health Assembly approved the Global Health Sector Strategy to eliminate hepatitis C virus (HCV) infection by 2030. In Brazil, efforts have been undertaken to achieve this goal; there are, however, great challenges. It is important to understand the disease profile in different regions of the country in order to design strategies to fight the disease nationwide. The objective of this study was to analyse the time trend of the incidence and mortality of hepatitis C in Brazil during the period from 2008 to 2018 according to sociodemographic and clinical characteristics.Methods: All newly diagnosed cases of hepatitis C reported between 2008 and 2018, in all regions of Brazil, were included. The indicators were obtained from the databases of the Brazilian Ministry of Health. For the time series analysis, a joinpoint regression model was used.Results: Between 2008 and 2018, 136,759 newly diagnosed cases of hepatitis C were reported considering anti-HCV and HCV RNA positivity, and 271,624 newly diagnosed cases were reported considering one or another positive test. The majority of the records were concentrated in the Southeast (61%) and South (26.2%) Regions. The joinpoint regression model indicated an increasing trend in the detection rate of hepatitis C in Brazil, but there was a decreasing trend in the mortality rate during the period analysed.Conclusions: Differences were observed in the time trend of hepatitis C and in the sociodemographic and clinical characteristics in different regions of Brazil. These data can provide support to design strategies for the elimination of hepatitis C in Brazil, according to regional particularities. [ABSTRACT FROM AUTHOR]

Introduction: Tuberculosis is one of the ten leading causes of death and the leading infectious cause worldwide. The disease represents a challenge to health systems around the world. In 2018, it is estimated that 10 million people were affected by tuberculosis, and approximately 1.5 million people died due to the disease worldwide, including 251,000 patients coinfected with HIV. In Brazil, the disease caused 4,490 deaths, with rate of 2.2 deaths per 100,000 inhabitants. The objective of this study was to analyze the time behavior, spatial, spatial-temporal distribution, and the effects of social vulnerability on the incidence of TB in Brazil during the period from 2001 to 2017. Materials and methods: A spatial-temporal ecological study was conducted, including all new cases of tuberculosis registered in Brazil during the period from 2001 to 2017. The following variables were analyzed: incidence rate of tuberculosis, the Social Vulnerability Index, its subindices, its 16 indicators, and an additional 14 variables available on the Atlas of Social Vulnerability. The statistical treatment of the data consisted of the following three stages: a) time trend analysis with a joinpoint regression model; b) spatial analysis and identification of risk areas based on smoothing of the incidence rate by local empirical Bayesian model, application of global and local Moran statistics, and, finally, spatial-temporal scan statistics; and c) analysis of association between the incidence rate and the indicators of social vulnerability. Results: Brazil reduced the incidence of tuberculosis from 42.8 per 100,000 to 35.2 per 100,000 between 2001 and 2017. Only the state of Minas Gerais showed an increasing trend, whereas nine other states showed a stationary trend. A total of 326 Brazilian municipalities were classified as high priority, and 22 high-risk spatial-temporal clusters were identified. The overall Social Vulnerability Index and the subindices of Human Capital and Income and Work were associated with the incidence of tuberculosis. It was also observed that the incidence rates were greater in municipalities with greater social vulnerability. Conclusions: This study identified clusters with high risk of TB in Brazil. A significant association was observed between the incidence rate of TB and the indices of social vulnerability. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To analyse and map the leprosy risk areas in the state of Alagoas, an endemic region in the Northeastern Brazil, between 2001 and 2019. METHODS: Ecological and time series study, using spatial analysis techniques. First, we analyse the epidemiological aspects of leprosy cases, using the data available in the Notifiable Diseases Information System; then, we used the segmented log‐linear regression model to assess time trends. Spatial distribution was analysed by the Local Empirical Bayesian Estimator and by calculating the Global and Local Moran Index. Finally, spatiotemporal clusters were identified through scanning statistics, using the Kulldorf method of retrospective analysis. RESULTS: We observed that Alagoas showed an average new case detection rate of 14.43/100,000 inhabitants between 2001 and 2019, being classified as highly endemic. The area of highest risk was the 9th health region (state hinterland), with increasing time trend (Annual Percentage Change/APC = 7.2; p‐value < 0.05). Several clusters of high risk of leprosy transmission were verified in Alagoas, including the state capital and hinterland municipalities. CONCLUSIONS: Our data indicate that active M. leprae transmission persists in Alagoas; that diagnosis is delayed and that there are high‐risk areas, especially in inland municipalities. [ABSTRACT FROM AUTHOR]

Tuberculosis verrucosa cutis is a rare clinical form of cutaneous tuberculosis resulting from the inoculation of I Mycobacterium tuberculosis i into the skin of previously infected patients.3,5 We described here an unusual case of cutaneous tuberculosis in a patient without comorbidities or immunosuppressive conditions, contrasting the apparent initial conditioning of the manifestation of tuberculosis only in these cases. Usually, these tests are only offered to municipalities previously selected by epidemiological and operational criteria.1,2 In the present report, the diagnosis was made based on histopathological evaluation, in which the presence of alcohol-acid-resistant bacilli and characteristic findings of cutaneous tuberculosis (tuberculosis verrucosa cutis) were observed. [Extracted from the article]

Background Schistosomiasis is a persistent public health problem in Brazil. Regardless advances in diagnosis and mass treatment, schistosomiasis has a severe impact on morbimortality in the country and remains a neglected tropical disease. Herein, we assessed the basic and associated causes of schistosomiasis-related deaths and the temporal and spatial patterns of mortality from the disease in Brazil between 1999 and 2018. Methods We conducted an ecological and time series study. The segmented log-linear regression model was applied to assess time trends, considering all deaths recorded in the category B65/ICD-10. Additionally, we elaborated maps of mortality rates from schistosomiasis in Brazil. Results A total of 4168 schistosomiasis-related deaths were recorded in Brazil in this period, as an associated cause. Time trend analysis revealed an increase in the average age of deaths from schistosomia- sis (annual percentage change (APC) = 0.84), and stable trend in Brazil (APC = 0.31). Concerning schistosomiasis-related deaths, we observed disorders related to the digestive system, liver diseases, septicemias, and chronic diseases. Surprisingly, there were deaths caused by non-endemic Schistosoma species in Brazil. Also, municipalities from non-endemic areas in Brazil presented schistosomiasis-related deaths. Conclusion Altogether, our analyses demonstrated that schistosomiasis remains a significant cause of death in Brazil, and it is increasing in some areas, especially in the Northeast region. Additionally, women and the elderly showed a stable time trend of deaths. Thereby, it urgently requires improvements in the control programs strategies, in the sense of an effective reduction in cases and deaths from the disease in Brazil. [ABSTRACT FROM AUTHOR]

Monitoring the impact of vaccine programs is necessary to identify changes in vaccine efficacy. We report the impact of the 12-year rotavirus vaccine program on diarrhea mortality and hospitalizations and their correlation to socioeconomic indicators. this ecological study describes diarrhea hospitalizations and deaths from 2006 to 2018 in Brazil and correlates rotavirus vaccine coverage, hospitalizations and deaths to socioeconomic indicators and social vulnerability index (SVI) by state and region. Hospitalizations, deaths, and vaccine coverage trends were analyzed using Joinpoint regression models. Associations between hospitalizations, mortality and rotavirus vaccination coverage and socioeconomic and SVI indicators were established using Ordinary Least Square regressions. Rotavirus vaccine coverage remained stable between 2006 and 2018 (annual percentage changes (APC) [95%CI]: 4.4% [−0.3%, 9.2%]). Diarrhea hospitalization rates decreased 52.5% (−5.7% [−7.5%, −3.8%]), from 68.4 to 32.5 hospitalizations per 10,000 children <5 years-old between 2006 and 2018, with significant decreases in diarrhea mortality (−9.8% [−11.2%, −8.5%]). The Northeast region experienced the largest reductions (−13.9% [−15.7%, −12.2%]). Vaccination coverage and diarrhea-mortality were inversely correlated with the SVI. The burden of childhood diarrhea has decreased over an extended period. States with high SVI, but high vaccination coverage had the largest reductions in hospitalizations and deaths. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Mother & Child Health (BJMCH) / Revista Brasileira de Saude Materno Infantil (RBSMI) is the property of Instituto de Medicina Integral and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study showed a spatial association between COVID-19 and poor living conditions in a population in Northeast Brazil. The case fatality rate was 1.42 times higher in the municipalities with very high social deprivation. Priority municipalities have been identified for intervention by the public authorities. [ABSTRACT FROM AUTHOR]

Copyright of Hygeia: Revista Brasileira de Geografia Médica e da Saúde is the property of Hygeia: Revista Brasileira de Geografia Medica e da Saude and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Dengue fever is an arthropod-borne viral disease caused by dengue virus (DENV) and transmitted by Aedes mosquitoes. The Northeast region of Brazil is characterized by having one of the highest dengue rates in the country, in addition to being considered the poorest region. Here, we aimed to identify spatial clusters with the highest dengue risk, as well as to analyze the temporal behavior of the incidence rate and the effects of social determinants on the disease transmission dynamic in Northeastern Brazil. Methods: This is an ecological study carried out with all confirmed cases of dengue in the Northeast Brazil between 2014 and 2017. Data were extracted from the National Notifiable Diseases Information System (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Local empirical Bayesian model, Moran statistics and spatial scan statistics were applied. The association between dengue incidence rate and social determinants was tested using Moran's bivariate correlation. Results: A total of 509 261 cases of dengue were confirmed in the Northeast during the study period, 53.41% of them were concentrated in Pernambuco and Ceará states. Spatial analysis showed a heterogeneous distribution of dengue cases in the region, with the highest rates in the east coast. Four risk clusters were observed, involving 815 municipalities (45.45%). Moreover, social indicators related to population density, education, income, housing, and social vulnerability showed a spatial correlation with the dengue incidence rate. Conclusions: This study provides information on the spatial dynamics of dengue in northeastern Brazil and its relationship with social determinants and can be used in the formulation of public health policies to reduce the impact of the disease in vulnerable populations. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) was confirmed in Brazil in February 2020. Since then, the disease has spread throughout the country, reaching the poorest areas. This study analyzes the relationship between COVID-19 and the population's living conditions. We aimed to identify social determinants related to the incidence, mortality, and case fatality rate of COVID-19 in Brazil, in 2020. Methods: This is an ecological study evaluating the relationship between COVID-19 incidence, mortality, and case fatality rates and 49 social indicators of human development and social vulnerability. For the analysis, bivariate spatial correlation and multivariate and spatial regression models (spatial lag model and spatial error models) were used, considering a 95% confidence interval and a significance level of 5%. Results: A total of 44.8% of municipalities registered confirmed cases of COVID-19 and 14.7% had deaths. We observed that 56.2% of municipalities with confirmed cases had very low human development (COVID-19 incidence rate: 59.00/100 000; mortality rate: 36.75/1 000 000), and 52.8% had very high vulnerability (COVID-19 incidence rate: 41.68/100 000; mortality rate: 27.46/1 000 000). The regression model showed 17 indicators associated with transmission of COVID-19 in Brazil. Conclusions: Although COVID-19 first arrived in the most developed and least vulnerable municipalities in Brazil, it has already reached locations that are farther from large urban centers, whose populations are exposed to a context of intense social vulnerability. Based on these findings, it is necessary to adopt measures that take local social aspects into account in order to contain the pandemic. [ABSTRACT FROM AUTHOR]