Resumo Objetivos: analisar o perfil epidemiológico e a dinâmica espaço-temporal da mortalidade materna em Alagoas e sua relação com a vulnerabilidade social e a desigualdade de renda. Métodos: estudo ecológico misto envolvendo os óbitos maternos de residentes em Alagoas de 1996 a 2016. Foram analisadas variáveis sociodemográficas (faixa etária, raça/cor, escolaridade, estado civil), clínicas (tipo de causa obstétrica, óbito por categoria e grupo de CID), além de indicadores (Razão de Mortalidade Materna-RMM, Índice de Vulnerabilidade Social e Índice de Gini). Para a análise temporal utilizou-se o modelo de regressão por pontos de inflexão e para a análise espacial o modelo bayesiano empírico local, a estatística de Moran Global e Local e a análise de autocorrelação espacial local bivariável. Resultados: foram registrados 586 óbitos (47,63/100 mil nascidos vivos), com tendência de crescimento da RMM (APC 2,8%), com distribuição heterogênea entre as regiões de saúde e municípios. O perfil foi caracterizado pelo predomínio de mulheres jovens, pretas/pardas e de baixa escolaridade. Oito municípios foram considerados prioritários. Houve correlação espacial com o Índice de Vulnerabilidade Social e de desigualdade de renda. Conclusões: a identificação de áreas prioritárias pode contribuir para o planejamento e direcionamento de intervenções.

Abstract Objectives: to analyze the epidemiological profile and the spatial-temporal dynamics on maternal mortality in Alagoas and its relationship with social vulnerability and income inequality. Methods: a mixed ecological study involving maternal deaths who resided in Alagoas from 1996 to 2016. Sociodemographic variables (age, race/color, education, marital status), clinical (type of obstetric cause, death by category and ICD group) were analyzed, besides the indicators (Maternal Mortality Ratio-MMR, Social Vulnerability Index and Gini Index). For the temporal analysis, we used the inflection point regression model and for the spatial analysis, the local empirical Bayesian model, Moran Global and Local statistics, and the bivariate local spatial autocorrelation analysis. Results: a total of 586 deaths (47.63/100 thousand live births) were registered, with a trend of MMR growth (APC 2.8%), with a heterogeneous distribution between health regions and cities. The profile was characterized by the predominance of young, black / mixed skin color women with low schooling. Eight cities were considered priority. There was spatial correlation with the Social Vulnerability Index and income inequality. Conclusions: identifying priority areas may contribute to planning and targeting interventions.

Abstract INTRODUCTION: The number of syphilis cases among pregnant women in Brazil has increased. This study aimed to analyze the temporal trend of syphilis indicators among pregnant women in Northeast Brazil. METHODS: A time-series study was performed. RESULTS: We observed an increase in the detection rate of syphilis among pregnant women, those aged 15-19 years, and those of brown ethnicity. A strong correlation was observed between the detection rate of syphilis and family health strategy coverage. CONCLUSIONS: Despite an increase in primary care coverage, The increase in cases of syphilis among pregnant women is still considered a challenge.

Abstract 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.

RESUMO OBJETIVO Analisar o perfil epidemiológico e a distribuição espaço-temporal da mortalidade em acidentes motociclísticos em Alagoas antes (2001-2007) e após a lei seca (2008-2015). MÉTODOS Estudo ecológico misto. Foram incluídos no estudo todos os óbitos ocorridos no estado que tiveram como causa básica os códigos V20-V29 (CID-10). Foram analisadas as variáveis sociodemográficas e as taxas de mortalidade calculadas segundo sexo. Para a análise temporal, empregou-se o modelo de regressão por pontos de inflexão. Para análise espacial, as taxas foram suavizadas pelo Modelo Bayesiano Empírico Local e, posteriormente, foi empregada a estatística de Moran Global e Local para a identificação dos aglomerados espaciais de risco. RESULTADOS Foram registrados 1.458 óbitos em acidentes motociclísticos no período estudado, destacando-se: sexo masculino (91,29%), idade economicamente ativa (82,93%) e raça parda (78,12%). Na população masculina, verificou-se tendência de crescimento entre 2001 e 2007 (19,0%; p<0,001) e de declínio a partir de 2008 (–11,2%; p<0,001). A modelagem espacial mostrou que as áreas de maior risco de mortalidade estão situadas no agreste e sertão do estado (p=0,01). CONCLUSÃO A mortalidade em acidentes motociclísticos é um importante problema de saúde pública em Alagoas, com destaque para a mortalidade masculina e concentração geográfica no interior do estado.

SUMMARY OBJECTIVE To analyze the epidemiological profile and the Spatio-temporal distribution of mortality in motorcycle accidents in Alagoas before (2001-2007) and after the “Lei seca” (2008-2015). METHODS This is a mixed ecologic study. All deaths in the state with the codes V20-V29 (ICD-10) as the basic cause were included in the study. Sociodemographic variables and mortality rates per sex were analyzed. For the temporal analysis, the inflection point regression model was used. For spatial analysis, the rates were smoothed by the Local Empirical Bayesian Model and, subsequently, the Global and Local Moran statistic was used to identify the spatial clusters of risk. RESULTS There were 1458 deaths caused by motorcycle accidents in the period studied; the following characteristics about the victims stand out: male (91.29%), economically active age (82.93%), and brown race (78.12%). In the male population, there was a growth trend between 2001 and 2007 (19.0%, p<0.001), and a decline from 2008 (-11.2%, p<0.001). Spatial modeling showed that the areas with the highest risk of mortality are located in the agreste and sertão of the state (p = 0.01). CONCLUSION Mortality in motorcycle accidents is an important public health problem in Alagoas, with an emphasis on male mortality and geographic concentration within the state.