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• W2773668077 abstract "Chagas disease is a parasitosis considered a serious problem of public health. In the municipality of Barcarena, Pará, from 2007 to 2014, occurred the highest prevalence of this disease in Brazil.To analyze the disease distribution related to epidemiological, environmental and demographic variables, in the area and period of the study.Epidemiological and demographic data of Barcarena Health Department and satellite images from the National Institute For Space Research (INPE) were used. The deforestation data were obtained through satellite image classification, using artificial neural network. The statistical significance was done with the χ2 test, and the spatial dependence tests among the variables were done using Kernel and Moran techniques.The epidemiological curve indicated a disease seasonal pattern. The major percentage of the cases were in male, brown skin color, adult, illiterate, urban areas and with probable oral contamination. It was confirmed the spatial dependence of the disease cases with the different types of deforestation identified in the municipality, as well as agglomerations of cases in urban and rural areas. Discussion: The disease distribution did not occur homogeneously, possibly due to the municipality demographic dynamics, with intense migratory flows that generates the deforestation.Different relationships among the variables studied and the occurrence of the disease in the municipality were observed. The technologies used were satisfactory to construct the disease epidemiological scenarios.A doença de Chagas é uma parasitose considerada um grave problema de saúde pública. No município de Barcarena, Pará, de 2007 a 2014, ocorreu a maior prevalência dessa doença no Brasil.Analisar a distribuição dessa doença relacionada às variáveis epidemiológicas, ambientais e demográficas, na área e no período do estudo.Foram utilizados dados epidemiológicos e demográficos da Secretaria Municipal de Saúde de Barcarena e imagens de satélites do Instituto Nacional de Pesquisas Espaciais. Os dados de desmatamento foram obtidos por classificação de imagens de satélites, utilizando rede neural artificial. As análises de significância estatística foram realizadas com o teste do χ2, e as de dependência espacial entre as variáveis, com as técnicas de Kernel e Moran.A curva epidemiológica indicou um padrão sazonal da doença. O maior percentual dos casos foi em indivíduos do sexo masculino, pardos, adultos, analfabetos, da zona urbana e com provável contaminação oral. Foi confirmada dependência espacial dos casos da doença com os diferentes tipos de desmatamento identificados no município, bem como aglomerados de casos em áreas urbanas e rurais. Discussão: A distribuição da doença não ocorreu de forma homogênea, possivelmente pela dinâmica demográfica do município, com intensos fluxos migratórios que causam os desmatamentos.Foram observadas diferentes relações entre as variáveis estudadas e a ocorrência da doença no município. As tecnologias utilizadas foram satisfatórias para a construção dos cenários epidemiológicos da doença." @default.
• W2773668077 created "2017-12-22" @default.
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• W2773668077 date "2017-12-01" @default.
• W2773668077 modified "2023-10-16" @default.
• W2773668077 title "Análise espaço-temporal da doença de Chagas e seus fatores de risco ambientais e demográficos no município de Barcarena, Pará, Brasil" @default.
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• W2773668077 doi "https://doi.org/10.1590/1980-5497201700040015" @default.
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