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Artigo
Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil
Introduction: Chagas disease is a parasitosis considered a serious problem of public health. In the municipality of Barcarena, Par?, from 2007 to 2014, occurred the highest prevalence of this disease in Brazil. Objective: To analyze the disease distribution related to epidemiological, environmenta...
Autor principal: | Sousa J?nior, Alcin?s da Silva |
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Outros Autores: | Pal?cios, Vera Regina da Cunha Menezes, Miranda, Cla?dia do Socorro, Costa, Rodrigo Junior Farias da, Catete, Clistenes Pamplona, Chagasteles, Eugenia Janis, Pereira, Alba Lucia Ribeiro Raithy, Gon?alves, Nelson Veiga |
Grau: | Artigo |
Idioma: | eng |
Publicado em: |
Associa??o Brasileira de P?s-Gradua??o em Sa?de Coletiva
2019
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Assuntos: | |
Acesso em linha: |
http://patua.iec.gov.br//handle/iec/3683 |
Resumo: |
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Introduction: Chagas disease is a parasitosis considered a serious problem of public health. In the
municipality of Barcarena, Par?, from 2007 to 2014, occurred the highest prevalence of this disease in Brazil.
Objective: To analyze the disease distribution related to epidemiological, environmental and demographic
variables, in the area and period of the study. Methods: 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 ?2 test, and the spatial dependence tests among the variables were
done using Kernel and Moran techniques. Results: 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. Conclusion: 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. |