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.

Highlight 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.

Highlight: The highways were important routes for the dissemination of SARS-CoV-2 to the interior of the state of Pernambuco, Brazil after the introduction of the disease by international air travel.

Brazil ranks second in the number of confirmed cases of COVID-19 worldwide. In spite of this, coping measures differ throughout the national territory, as does the disease's impact on the population. This cross-sectional observational study, with 59 695 cases of COVID-19 registered in the state of Alagoas between March and August 2020, analysed clinical-epidemiological variables, incidence rate, mortality rate, case fatality rate (CFR) and the social indicators municipal human development index (MHDI) and social vulnerability index (SVI). Moran statistics and regression models were applied. Logistic regression analysis was applied to determine the predictors of death. The incidence rate was 1788.7/100 000 inhabitants; mortality rate was 48.0/100 000 and CFR was 2.7%. The highest incidence rates were observed in municipalities with better human development (overall MHDI (I = 0.1668; p = 0.002), education MHDI (I = 0.1649; p = 0.002) and income MHDI (I = 0.1880; p = 0.005)) and higher social vulnerability (overall SVI (I = 0.0599; p = 0.033)). CFR was associated with higher social vulnerability (SVI human capital (I = 0.0858; p = 0.004) and SVI urban infrastructure (I = 0.0985; p = 0.040)). Of the analysed cases, 55.4% were female; 2/3 were Black or Brown and the median age was 41 years. Among deaths, most were male (919; 57.4%) and elderly (1171; 73.1%). The predictors of death were male sex, advanced age and the presence of comorbidities. In Alagoas, Brazil, the disease has undergone a process of interiorisation and caused more deaths in poorer municipalities. The presence of comorbidities and advanced age were predictors of death.

Introduction: We aimed to analyze trends in Schistosomiasis positivity, mortality, and hospitalization rates in Northeast Brazil. Methods: We conducted an ecological study using data from the Brazilian Schistosomiasis Control Program, and Hospital and Mortality Information Systems. A joinpoint regression model was used for temporal analysis. Results: The positivity(−4.7%;p<0.001) and hospitalization(−17.7%;p<0.001) rates declined globally, while the mortality remained stationary (−0.8%;p>0.05). However, the hospitalization in Alagoas(27.1%;p<0.001) and Pernambuco (35.1%;p<0.001), and the mortality in Bahia(2.9%;p<0.001) and Sergipe(4.1%;p<0.001), increased. Conclusions: Schistosomiasis mansoni represents an important public health problem in Pernambuco,

Background To investigate the spatial distribution of congenital syphilis (CS) and its association to social vulnerability indexes in northeast Brazil. Methods This was an ecological study referring to all cases of CS and CS deaths recorded in the northeast region of Brazil from 2008 to 2015. Data were obtained from three Brazilian information systems. We examined statistical correlations between CS indicators by state and municipality and their socioeconomic and social vulnerability characteristics. We used Bayesian empirical local models to identify fluctuations of the indicators. Spatial statistical tests were used to identify spatial clusters and the municipalities at high risk of CS. Results The incidence of CS ranged from 2.1 cases/1000 live births (LB) in 2008 to 6.9/1000 LB in 2015, with an annual increase of 19.9% (p &lt; 0.001). The mortality coefficient of CS ranged from 2.9/1000 LB in 2008 to 6.5/1000 LB in 2015, resulting in an annual increase of 15.1% (p &lt; 0.001). Nine spatial clusters were identified. Cases of congenital syphilis occurred in well-defined spatiotemporal clusters and in areas with high levels of social vulnerability. Conclusions CS incidence is associated with social vulnerability. CS control programmes should target spatial clusters and populations with high levels of social vulnerability.

Introduction: We aimed to analyze the relationship between visceral leishmaniasis mortality and social determinants of health (SDH). Methods: This was an ecological study of all leishmaniasis-related deaths in Brazil, from 2001 to 2015. We analyzed 49 indicators of human development and social vulnerability. The association was tested using the classical and spatial regression model. Results: Mortality was associated with indicators that expressed low human development and high social vulnerability: lack of garbage collection, low schooling, unemployment rate, low per capita income, and income inequality (Gini index). Conclusions: There was an association between high mortality by leishmaniasis and low SDH.

Apresentam-se algumas reflexões acerca dos sentidos produzidos por homens jovens de uma comunidade de pescadores no Nordeste do Brasil sobre uso dos serviços de atenção básica de sua região. Parte-se de informações obtidas por meio de observação participante, dos dados da Secretaria Municipal de Saúde e dos grupos de discussão realizados com os homens jovens. Identificou-se o crescente consumo de álcool e outras drogas psicoativas entre os jovens, e uma preferência, entre os membros da comunidade, em usar o conhecimento leigo de cuidados com a saúde, e não a rede oficial de assistência, recorrendo a esta só em caso de piora no quadro e/ou dor. Aponta-se a necessidade de se ampliar a reflexão sobre a masculinidade, tendo em vista o comprometimento com a saúde do homem.