objective To analyse spatial patterns and the temporal tendency of mortality related to Chagas disease, in order to identify priority control areas in the state of Sergipe, Northeast Brazil. methods We conducted an ecological and time-series study with spatial analysis techniques on deaths from Chagas disease in the state of Sergipe (1996-2016). We used data from the Mortality Information System (SIM). The temporal analysis was performed using a statistical technique capable of describing changes in the trend pattern for the period. Thematic maps were elaborated from point and polygonal analyses. results There were 247 deaths related to Chagas disease, with a mean of 11.7 deaths/year, most of them male (64%), and aged 50-59 years (21%) and 60-69 years (26%). Two segments with increasing, non-constant and significant trends were identified: 1996-2005 (APC = 21.6%; P = 0.01) and 2005-2016 (APC = 4.4%; P = 0.01), with APPC = 11.8% (P = 0.01). A positive and significant spatial autocorrelation with areas of higher risk of death was found in the southern region of the state. conclusions The trend of mortality related to Chagas disease in the state of Sergipe was increasing during the period analysed, with a heterogeneous distribution of cases. A main risk area was identified in the southern region of the state.

Objetivo: analisar a distribuição espacial e a tendência temporal da mortalidade por câncer depênis em Sergipe.Método: estudo ecológico, com técnicas de análise espacial. Foram utilizados dados secundáriosdos óbitos por câncer de pênis de residentes dos municípios de Sergipe de 2000 a 2015, obtidosno Sistema de Informações sobre Mortalidade. A análise das tendências temporais foi realizadapelo programa Joinpoint por meio da regressão Poisson. As análises espaciais foram realizadas pormeio do modelo bayesiano empírico, estimador de Kernel e Índices de Moran.Resultados: ocorreram 67 óbitos por câncer de pênis e uma tendência crescente dos coeficientesde mortalidade, de 0,11 (2000) para 0,64 (2015) por 100.000 homens. Observou-se autocorrelaçãoespacial positiva (I=0,64; p=0,01) com áreas de maior risco de morte localizadas na região sul doestado.Conclusão: houve aumento dos coeficientes de mortalidade por câncer de pênis e distribuiçãogeográfica heterogênea das áreas de risco.

This is an ecological study with exploratory analysis of spatial and temporal data based on mortality data with respect to prostate cancer obtained from the Mortality Information System concerning residents of the state of Sergipe, Brazil between 2000 and 2015. The analysis of temporal trends was performed using the Joinpoint Regression Program through Poisson regression. Spatial analysis was performed using the empirical Bayesian model, Kernel analysis, Global Moran and Local indices. There were 1,986 deaths due to prostate cancer, most of which occurring after 60 years of age. An increasing, non-constant but significant trend in mortality rates was noted. The kernel density estimator showed hotspot densities of the highest rates of prostate cancer mortality in the north-eastern and central regions of the state. High-risk clusters were identified for prostate cancer mortality (I = 0.55, P<0.01). There was an increase in prostate cancer mortality rates and a heterogeneous geographic distribution of risk areas, with high-risk priority areas identified in certain regions of the state. These priority areas include the municipalities located in the Northeast (Amparo do São Francisco, Aquidabã, Canhoba, Cedro de São João and Telha), the West (Frei Paulo and Pedra Mole) and the south-western region of the state (Poço Verde and Simão Dias).

Objetivo: classificar o risco das doenças imunopreveníveis e sua distribuição espacial nos municípios sergipanos.Método: estudo epidemiológico, com utilização de bases de informaçoes secundárias pelo Sistema de Informações do Programa Nacional de Imunizações no ano de 2017, referente ao esquema vacinal até o segundo ano de idade, nos 75 municípios sergipanos. Para análise estatística dos dados, utilizou-se o programa Epi Info versão 7.2.2.6 e QGIS para elaboração do mapa.Resultados: 46,7% dos municípios sergipanos apresentaram cobertura vacinal adequada para BCG. Em todo estado, os imunobiológicos analisados apresentaram grau de homogeneidade baixo. A vacina Tríplice viral teve a mais elevada taxa de abandono 73 (97,3%) .Conclusão: identificou-se quadro de alto risco de desenvolvimento de doenças preveníveis por vacinas na maioria dos municípios sergipanos. Esforços cumulativos são necessários por parte dos usuários, profissionais de saúde e gestores do Sistema Único de Saúde para assegurar êxito e boa adesão às atividades de imunização.

Background Leptospirosis is an endemic disease in Brazil of social and economic relevance related to behavioural and socioenvironmental factors. This study aimed to analyse the spatiotemporal distribution of the incidence of leptospirosis and its association with social determinants in health in a state of northeastern Brazil. Methods An ecological study of temporal series with techniques of spatial analysis using secondary data of the cases of leptospirosis notified in the Information System of Notifiable Diseases of the state of Sergipe (2008–2017) was conducted. The analysis of temporal trends was performed using Poisson regression. Spatial analyses were performed using the Moran index, the local empirical Bayesian model, scan statistics and spatial regression. Results The incidence rate decreased from 3.66 to 1.44 cases per 100 000 inhabitants in 2008 and 2017, respectively. Leptospirosis was associated with social inequities, mostly affecting males aged 20–49 y living in urban areas. The space-time scan indicated the formation of a risk cluster in municipalities in the metropolitan region of the state. Conclusions The data indicated the persistence of leptospirosis transmission, maintaining a pattern of high endemicity in some municipalities associated with social inequities. The study showed the temporal and spatial dynamics of the disease to better target specific actions for prevention and control.