ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL

Detalhes bibliográficos
Autor(a) principal: dos Santos, Antonio Carlos
Data de Publicação: 2019
Outros Autores: Valladares, Gustavo Souza, Hassum, Izabella Cabral
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41284
Resumo: The main objective of this works was the spatial modelling for the areas of risk of malaria in the municipalities of Campo Largo do Piauí and Porto – no estado do Piauí, sites with outbreak records in the last fifteen years. The environmental analysis to generate the malaria risk map took into account inventories involving the physicals and biotics parameters, besides with the anthropic interference, as the land use and land cover, involving morphometric relief analyzes and the land use and covering for remote sensing. The subjects were overlaid and analyzed by an addictive multicriteria method to arrive the risk map of occurrence of the disease, and subsequently the registered cases were overlaid with the purpose of validating the proposed methodology. Malaria risk mapping generated four classes: low, moderate, high and very high, with high and very high risk of occurrence of the disease were more prominent with 7.1% and 92.9% concentration, in the two municipalities during the period studied. This work suggests that the model of the additive multi criterion method to determine the occurrence of malaria cases is highly efficient, indicating that the natural and anthropic characteristics chosen to compose the analyzes presented satisfactory results.
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spelling ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZILMÉTODO MULTICRITÉRIO ADITIVO NO MAPEAMENTO DAS ÁREAS DE RISCO PARA TRANSMISSÃO DE MALÁRIA EM CAMPO LARGO DO PIAUÍ E PORTO, PIAUÍ, BRASILGeoprocessamento em SaúdeModelagem espacialSIGPlasmodiumHealth Geosciences.Spatial Modeling.GIS.Plasmodium.The main objective of this works was the spatial modelling for the areas of risk of malaria in the municipalities of Campo Largo do Piauí and Porto – no estado do Piauí, sites with outbreak records in the last fifteen years. The environmental analysis to generate the malaria risk map took into account inventories involving the physicals and biotics parameters, besides with the anthropic interference, as the land use and land cover, involving morphometric relief analyzes and the land use and covering for remote sensing. The subjects were overlaid and analyzed by an addictive multicriteria method to arrive the risk map of occurrence of the disease, and subsequently the registered cases were overlaid with the purpose of validating the proposed methodology. Malaria risk mapping generated four classes: low, moderate, high and very high, with high and very high risk of occurrence of the disease were more prominent with 7.1% and 92.9% concentration, in the two municipalities during the period studied. This work suggests that the model of the additive multi criterion method to determine the occurrence of malaria cases is highly efficient, indicating that the natural and anthropic characteristics chosen to compose the analyzes presented satisfactory results.Esta pesquisa teve como objetivo principal a modelagem espacial das áreas de risco de ocorrência de malária nos municípios de Campo Largo do Piauí e Porto – PI, locais onde ocorreram surtos nos últimos quinze anos. A análise ambiental para geração do mapa do risco de malária levou em consideração inventários envolvendo os meios físico e biótico, inclusive com as intervenções antrópicas, quanto ao uso e cobertura das terras, envolvendo análises do relevo por morfometria e do uso e cobertura das terras por sensoriamento remoto. Os temas foram sobrepostos e analisados por método multicritério aditivo para se chegar ao mapa de risco de ocorrência da doença e, posteriormente, os casos registrados foram sobrepostos com objetivo de validação da metodologia proposta. O mapeamento de risco de ocorrência de malária gerou quatro classes: baixo, moderado, alto e muito alto, sendo que as classes alto e muito alto risco de ocorrência da doença tiveram maior destaque com 7,1% e 92,9% de concentração, respectivamente, nos dois municípios durante o período estudado. Este trabalho sugere que o modelo do método multicritério aditivo para determinar a ocorrência dos casos de malária é altamente eficiente, indicando que as características naturais e antrópicas eleitas para compor as análises.EDUFU - Editora da Universidade Federal de Uberlândia2019-07-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/4128410.14393/RCG206941284Caminhos de Geografia; Vol. 20 No. 69 (2019): Março; 303-316Caminhos de Geografia; Vol. 20 Núm. 69 (2019): Março; 303-316Caminhos de Geografia; v. 20 n. 69 (2019): Março; 303-3161678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/41284/26360Copyright (c) 2019 Antonio Carlos dos Santos, Gustavo Souza Valladares, Izabella Cabral Hassuminfo:eu-repo/semantics/openAccessdos Santos, Antonio CarlosValladares, Gustavo SouzaHassum, Izabella Cabral2019-08-05T19:42:19Zoai:ojs.www.seer.ufu.br:article/41284Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2019-08-05T19:42:19Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
MÉTODO MULTICRITÉRIO ADITIVO NO MAPEAMENTO DAS ÁREAS DE RISCO PARA TRANSMISSÃO DE MALÁRIA EM CAMPO LARGO DO PIAUÍ E PORTO, PIAUÍ, BRASIL
title ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
spellingShingle ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
dos Santos, Antonio Carlos
Geoprocessamento em Saúde
Modelagem espacial
SIG
Plasmodium
Health Geosciences.
Spatial Modeling.
GIS.
Plasmodium.
title_short ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
title_full ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
title_fullStr ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
title_full_unstemmed ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
title_sort ADDITIVE MULTICRITERIA METHOD IN THE MAPPING OF RISK AREAS FOR TRANSMISSION OF MALARIA IN CAMPO LARGO DO PIAUÍ AND PORTO, PIAUI, BRAZIL
author dos Santos, Antonio Carlos
author_facet dos Santos, Antonio Carlos
Valladares, Gustavo Souza
Hassum, Izabella Cabral
author_role author
author2 Valladares, Gustavo Souza
Hassum, Izabella Cabral
author2_role author
author
dc.contributor.author.fl_str_mv dos Santos, Antonio Carlos
Valladares, Gustavo Souza
Hassum, Izabella Cabral
dc.subject.por.fl_str_mv Geoprocessamento em Saúde
Modelagem espacial
SIG
Plasmodium
Health Geosciences.
Spatial Modeling.
GIS.
Plasmodium.
topic Geoprocessamento em Saúde
Modelagem espacial
SIG
Plasmodium
Health Geosciences.
Spatial Modeling.
GIS.
Plasmodium.
description The main objective of this works was the spatial modelling for the areas of risk of malaria in the municipalities of Campo Largo do Piauí and Porto – no estado do Piauí, sites with outbreak records in the last fifteen years. The environmental analysis to generate the malaria risk map took into account inventories involving the physicals and biotics parameters, besides with the anthropic interference, as the land use and land cover, involving morphometric relief analyzes and the land use and covering for remote sensing. The subjects were overlaid and analyzed by an addictive multicriteria method to arrive the risk map of occurrence of the disease, and subsequently the registered cases were overlaid with the purpose of validating the proposed methodology. Malaria risk mapping generated four classes: low, moderate, high and very high, with high and very high risk of occurrence of the disease were more prominent with 7.1% and 92.9% concentration, in the two municipalities during the period studied. This work suggests that the model of the additive multi criterion method to determine the occurrence of malaria cases is highly efficient, indicating that the natural and anthropic characteristics chosen to compose the analyzes presented satisfactory results.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41284
10.14393/RCG206941284
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41284
identifier_str_mv 10.14393/RCG206941284
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41284/26360
dc.rights.driver.fl_str_mv Copyright (c) 2019 Antonio Carlos dos Santos, Gustavo Souza Valladares, Izabella Cabral Hassum
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Antonio Carlos dos Santos, Gustavo Souza Valladares, Izabella Cabral Hassum
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 20 No. 69 (2019): Março; 303-316
Caminhos de Geografia; Vol. 20 Núm. 69 (2019): Março; 303-316
Caminhos de Geografia; v. 20 n. 69 (2019): Março; 303-316
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
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