Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases

Detalhes bibliográficos
Autor(a) principal: Coelho, Paulo R. S
Data de Publicação: 2021
Outros Autores: Ker, Fabrício T. O, Araújo, Amanda D, Guimarães, Ricardo José de Paula Souza e, Negrão-Corrêa, Deborah Aparecida, Caldeira, Roberta L, Geiger, Stefan Michael
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Digital do Instituto Evandro Chagas (Patuá)
Texto Completo: https://patua.iec.gov.br/handle/iec/4401
Resumo: Trabalho apresentado no International Symposium on Schistosomiasis, 16. , 2020. Minas Gerais. Pre-Conference Research Topic.
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spelling Coelho, Paulo R. SKer, Fabrício T. OAraújo, Amanda DGuimarães, Ricardo José de Paula Souza eNegrão-Corrêa, Deborah AparecidaCaldeira, Roberta LGeiger, Stefan Michael2021-08-11T14:29:44Z2021-08-11T14:29:44Z2021COELHO, Paulo R. S. et al. Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases. Frontiers in Medicine, v. 8, n. 642348, p. 1-14, Aug. 2021.2296-858Xhttps://patua.iec.gov.br/handle/iec/440110.3389/fmed.2021.642348Trabalho apresentado no International Symposium on Schistosomiasis, 16. , 2020. Minas Gerais. Pre-Conference Research Topic.The aim of the present study was to use an integrated approach for the identification of risk areas for Schistosoma mansoni transmission in an area of low endemicity in Minas Gerais, Brazil. For that, areas of distribution of Biomphalaria glabrata were identified and were related to environmental variables and communities with reported schistosomiasis cases, in order to determine the risk of infection by spatial analyses with predictive models. The research was carried out in the municipality of Alvorada de Minas, with data obtained between the years 2017 and 2019 inclusive. The Google Earth Engine was used to obtain geo-climatic variables (temperature, precipitation, vegetation index and digital elevation model), R software to determine Pearson’s correlation and MaxEnt software to obtain an ecological model. ArcGis Software was used to create maps with data spatialization and risk maps, using buffer models (diameters: 500, 1,000 and 1,500 m) and CoKriging. Throughout the municipality, 46 collection points were evaluated. Of these, 14 presented snails of the genus Biomphalaria. Molecular analyses identified the presence of different species of Biomphalaria, including B. glabrata. None of the snails eliminated S. mansoni cercariae. The distribution of B. glabrata was more abundant in areas of natural vegetation (forest and cerrado) and, for spatial analysis (Buffer), the main risk areas were identified especially in the main urban area and toward the northern and eastern extensions of the municipality. The distribution of snails correlated with temperature and precipitation, with the latter being the main variable for the ecological model. In addition, the integration of data from malacological surveys, environmental characterization, fecal contamination, and data from communities with confirmed human cases, revealed areas of potential risk for infection in the northern and eastern regions of the municipality. In the present study, information was integrated on epidemiological aspects, transmission and risk areas for schistosomiasis in a small, rural municipality with low endemicity. Such integrated methods have been proposed as important tools for the creation of schistosomiasis transmission risk maps, serve as an example for other communities and can be used for control actions by local health authorities, e.g., indicate priority sectors for sanitation measures.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior- Brasil (CAPES)–Finance Code 001. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq #308869/2017-6), by Instituto René RachouFiocruz Minas. Parasitology Post-graduation Program at UFMG.Federal University of Minas Gerais. Department for Parasitology. Belo Horizonte, MG, Brazil.Federal University of Minas Gerais. Department for Parasitology. Belo Horizonte, MG, Brazil.Oswaldo Cruz Foundation. René Rachou Institute. Research Group on Helminthology and Medical Malacology. Belo Horizonte, MG, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocessamento. Ananindeua, PA, Brasil.Federal University of Minas Gerais. Department for Parasitology. Belo Horizonte, MG, Brazil.Oswaldo Cruz Foundation. René Rachou Institute. Research Group on Helminthology and Medical Malacology. Belo Horizonte, MG, Brazil.Federal University of Minas Gerais. Department for Parasitology. Belo Horizonte, MG, Brazil.engFrontiers MediaIdentification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human casesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEsquistossomose mansoni / parasitologiaEsquistossomose mansoni / transmissãoBiomphalaria / parasitologiaSaneamento BásicoSistemas de Informação GeográficaAnálise EspacialAlvorada de Minas (MG)info:eu-repo/semantics/openAccessreponame:Repositório Digital do Instituto Evandro Chagas (Patuá)instname:Instituto Evandro Chagas (IEC)instacron:IECORIGINALIdentification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases.pdfIdentification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases.pdfapplication/pdf3825184https://patua.iec.gov.br/bitstreams/dd92d061-b6b4-4b67-8eaa-8d2106cd9037/download387b112045825abd6bda0fa1191bcaf1MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.pt_BR.fl_str_mv Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
title Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
spellingShingle Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
Coelho, Paulo R. S
Esquistossomose mansoni / parasitologia
Esquistossomose mansoni / transmissão
Biomphalaria / parasitologia
Saneamento Básico
Sistemas de Informação Geográfica
Análise Espacial
Alvorada de Minas (MG)
title_short Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
title_full Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
title_fullStr Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
title_full_unstemmed Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
title_sort Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
author Coelho, Paulo R. S
author_facet Coelho, Paulo R. S
Ker, Fabrício T. O
Araújo, Amanda D
Guimarães, Ricardo José de Paula Souza e
Negrão-Corrêa, Deborah Aparecida
Caldeira, Roberta L
Geiger, Stefan Michael
author_role author
author2 Ker, Fabrício T. O
Araújo, Amanda D
Guimarães, Ricardo José de Paula Souza e
Negrão-Corrêa, Deborah Aparecida
Caldeira, Roberta L
Geiger, Stefan Michael
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Coelho, Paulo R. S
Ker, Fabrício T. O
Araújo, Amanda D
Guimarães, Ricardo José de Paula Souza e
Negrão-Corrêa, Deborah Aparecida
Caldeira, Roberta L
Geiger, Stefan Michael
dc.subject.decsPrimary.pt_BR.fl_str_mv Esquistossomose mansoni / parasitologia
Esquistossomose mansoni / transmissão
Biomphalaria / parasitologia
Saneamento Básico
Sistemas de Informação Geográfica
Análise Espacial
Alvorada de Minas (MG)
topic Esquistossomose mansoni / parasitologia
Esquistossomose mansoni / transmissão
Biomphalaria / parasitologia
Saneamento Básico
Sistemas de Informação Geográfica
Análise Espacial
Alvorada de Minas (MG)
description Trabalho apresentado no International Symposium on Schistosomiasis, 16. , 2020. Minas Gerais. Pre-Conference Research Topic.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-08-11T14:29:44Z
dc.date.available.fl_str_mv 2021-08-11T14:29:44Z
dc.date.issued.fl_str_mv 2021
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv COELHO, Paulo R. S. et al. Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases. Frontiers in Medicine, v. 8, n. 642348, p. 1-14, Aug. 2021.
dc.identifier.uri.fl_str_mv https://patua.iec.gov.br/handle/iec/4401
dc.identifier.issn.-.fl_str_mv 2296-858X
dc.identifier.doi.-.fl_str_mv 10.3389/fmed.2021.642348
identifier_str_mv COELHO, Paulo R. S. et al. Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases. Frontiers in Medicine, v. 8, n. 642348, p. 1-14, Aug. 2021.
2296-858X
10.3389/fmed.2021.642348
url https://patua.iec.gov.br/handle/iec/4401
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
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instacron:IEC
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