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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| Acesso em linha: |
http://patua.iec.gov.br//handle/iec/3683 |
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ir-iec-3683 |
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dspace |
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ir-iec-36832019-05-15T17:24:54Z Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil An?lise espa?o-temporal da doen?a de Chagas e seus fatores de risco ambientais e demogr?ficos no munic?pio de Barcarena, Par?, Brasil Sousa J?nior, Alcin?s da Silva 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 Doen?a de Chagas / parasitologia Sistemas de Informa??o Geogr?fica / utiliza??o An?lise Espacial Monitoramento Epidemiol?gico Altera??o Ambiental Preval?ncia Barcarena (PA) 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. To the Federal University of Par? (UFPA), to the Laboratory of Epidemiology and Geoprocessing (EpiGeo) of the University of the State of Par? (UEPA), to the Laboratory of Geoprocessing of the Evandro Chagas Institute (LabGeo/IEC), to the Health Department of the Municipality of Barcarena (SESMUB), to the Coordination for the Improvement of Higher Education Personnel (CAPES) and the National Council for Scientific and Technological Development (CNPq). 2019-05-15T17:10:34Z 2019-05-15T17:10:34Z 2017 Artigo SOUSA J?NIOR, Alcin?s da Silva et al. Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil. Revista Brasileira de Epidemiologia, v. 20, n. 4, p. 742-755, Oct./Dec. 2017. 1415-790X http://patua.iec.gov.br//handle/iec/3683 10.1590/1980-5497201700040015 eng Acesso Aberto application/pdf Associa??o Brasileira de P?s-Gradua??o em Sa?de Coletiva |
| institution |
Instituto Evandro Chagas (IEC) |
| collection |
PATUA |
| language |
eng |
| topic |
Doen?a de Chagas / parasitologia Sistemas de Informa??o Geogr?fica / utiliza??o An?lise Espacial Monitoramento Epidemiol?gico Altera??o Ambiental Preval?ncia Barcarena (PA) |
| spellingShingle |
Doen?a de Chagas / parasitologia Sistemas de Informa??o Geogr?fica / utiliza??o An?lise Espacial Monitoramento Epidemiol?gico Altera??o Ambiental Preval?ncia Barcarena (PA) Sousa J?nior, Alcin?s da Silva Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil |
| topic_facet |
Doen?a de Chagas / parasitologia Sistemas de Informa??o Geogr?fica / utiliza??o An?lise Espacial Monitoramento Epidemiol?gico Altera??o Ambiental Preval?ncia Barcarena (PA) |
| description |
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. |
| format |
Artigo |
| author |
Sousa J?nior, Alcin?s da Silva |
| author2 |
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 |
| author2Str |
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 |
| title |
Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil |
| title_short |
Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil |
| title_full |
Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil |
| title_fullStr |
Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil |
| title_full_unstemmed |
Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Par?, Brazil |
| title_sort |
space-temporal analysis of chagas disease and its environmental and demographic risk factors in the municipality of barcarena, par?, brazil |
| publisher |
Associa??o Brasileira de P?s-Gradua??o em Sa?de Coletiva |
| publishDate |
2019 |
| url |
http://patua.iec.gov.br//handle/iec/3683 |
| _version_ |
1717584448225017856 |
| score |
11.674684 |