Resumo A ocorrência da leptospirose tem desafiado a epidemiologia na utilização de diferentes tecnologias de análises em escalas geográficas locais. Este estudo transversal e descritivo objetivou identificar correlações espaciais de fatores de risco socioambientais com a leptospirose em Belém, Pará, entre 2007 e 2013. Os dados epidemiológicos foram obtidos no Sistema de Informação de Agravos de Notificação, da Secretaria do Estado de Saúde Pública e os ambientais, demográficos e territoriais no Instituto Brasileiro de Geografia e Estatística. Homens, 20 a 39 anos, ocupação indeterminada, etnia parda, foram os mais acometidos. O diagnóstico laboratorial (82%) e o atendimento hospitalar (67,22%) demonstraram acesso satisfatório ao Sistema de Saúde. A Krigagem numérica mostrou a maior concentração da doença nos bairros Guamá e Jurunas, em áreas de menores cotas altimétricas, próximas a canais. A técnica de Buffer apontou maior concentração da doença em áreas de ausência de coleta de resíduos sólidos domiciliares (26%), esgoto (22%), água encanada (38%), e com arruamento não pavimentado (20%) e alagamento de rua (65%). A técnica de Moran demonstrou uma correlação espacial direta entre estas variáveis (p = 0,01543). A tendência geral expressou o decréscimo da doença.

Resumo Introdução As hepatites virais são graves problemas de saúde pública e estão relacionadas às diferentes características socioeconômicas do território brasileiro. Objetivo Analisar a distribuição espacial das hepatites B e C e sua relação com o Índice de Desenvolvimento Humano Municipal (IDHM) nas áreas de três Centros Regionais de Saúde (CRS), no Estado do Pará, Brasil, de 2010 a 2014. Método Neste trabalho descritivo e transversal, foram utilizados dados do Sistema de Informação de Agravos de Notificação, do Ministério da Saúde, e do Censo 2010, do Instituto Brasileiro de Geografia e Estatística. Resultados As análises mostraram que o 11º CRS notificou o maior número de casos (60,9%). Os indivíduos mais acometidos por ambas as doenças foram do gênero feminino, pardos, adultos e com ensino fundamental. Os fatores de riscos mais significativos foram uso de medicamentos injetáveis e tratamentos dentário e cirúrgico. Foi observada dependência espacial entre o IDHM e os parâmetros da taxa de incidência das doenças, com autocorrelações diretas e indiretas. Assim, áreas com IDHM médio e baixo apresentaram altas taxas de incidência, sobretudo em municípios com intenso fluxo migratório, nas últimas décadas. Conclusão As análises foram eficazes para construir cenários epidemiológicos das doenças. Ressaltamos a necessidade de expandir o controle das hepatites nas áreas estudadas.

Human visceral leishmaniasis is a major public health problem in the Amazon. Thus, we analyzed the spatial distribution of this disease and its relationship with epidemiological, socioeconomic, and environmental variables in the Carajás Integration Region, Pará state, from 2011 to 2020. Epidemiological data for this ecological study were obtained from the State Public Health Secretariat, environmental data were obtained from the National Space Research Institute, and socioeconomic data were obtained from the Brazilian Geography and Statistics Institute. ArcGIS 10.5.1 software was used for classifying land use and cover and for the Kernel and Moran spatial analyses. It was observed in 685 confirmed cases that the epidemiological profile followed the national pattern of the disease occurrence, with a high prevalence in children who were not school-aged. The disease had a non-homogeneous distribution with clusters related to different human activities, such as urbanization, ranching, and mining. A spatial dependence between the disease prevalence and socioeconomic indicators was observed. The municipalities presented gradients of case densities associated with a direct relationship between areas with cases and deforestation. The disease is developing due to risk factors such as establishment and maintenance related to the non-sustainable development model implemented in the region, pointing to the need for its revision.

Introduction: Cutaneous leishmaniasis is an infectious disease transmitted by phlebotomine sandflies and is considered a great environmental and public health problem. Thus, this work presents initial results of the analyses about the relationship between the spatial distribution of this disease and its environmental risk factors in three municipalities, in the state of Pará, Brazil, from 2012 to 2016. Methodology: It was used data from the Ministry of Health, the National Institute for Space Research and the Brazilian Institute of Geography and Statistics. The statistical and spacial analysis of the variables were done using G-test goodness-of-fit, kernel interpolation technique and the Bivariate Global Moran Index (I). Results: The analyses showed that the most affected individuals were males, adults, low schooling, residents in rural areas and small farmers. The disease spatial distribution was not homogeneous in the municipalities and it was associated to different relationships between the land use and occupation and the notificated cases density, with direct spatial autocorrelation. Conclusions: The deforestation was the most significant risk factor linked to the cases occurrence in all the studied area. We emphasize the need of intensification of epidemiological and environmental surveillance actions in the studied areas.

Introduction: COVID-19 is a severe respiratory syndrome caused by the SARS-CoV-2 virus. In Brazil the highest infection rates are associated with socially vulnerable populations. This study therefore sought to analyze the spatial distribution of the disease and its relation with geographic, socioeconomic and public health policy characteristics associated with quilombola communities in Salvaterra municipality, state of Pará, for the period of March to September, 2020. Methodology: This cross-sectional and ecological study used data from the Disease Notification System and the National Registry of Health Establishments of the Ministry of Health, the Income Transfer Registry of the Ministry of Citizenship and the 2010 census of the Brazilian Institute of Geography and Statistics. Statistical and spatial analysis of the data was done through percentages of cases and Flow and Kernel map techniques. Results: Seventy-five notified cases of COVID-19 distributed among 7 quilombola communities in the municipality were analyzed. The epidemiological profile followed a national trend, with a higher percentage of cases among persons who were female, adults with low schooling levels, working as family farmers and with an outcome ending in recovery. The spatial distribution of the disease was not homogenous and showed clusters of cases and high incidence rates, especially in communities close to the municipal seat or to highways. Conclusions: The use of data analysis techniques was satisfactory for providing an understanding of the socioeconomic production of the disease in the areas studied. Accordingly, the need for intensifying epidemiological survey actions in the quilombola communities of the municipality is emphasized.

Palavras-chave: Hanseníase; Epidemiologia; Análise Espacial; Estratégia Saúde da Família