Identification of risk areas for intestinal schistosomiasis, based on malacological and environmental data and on reported human cases
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
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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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 |
dc.source.none.fl_str_mv |
reponame:Repositório Digital do Instituto Evandro Chagas (Patuá) instname:Instituto Evandro Chagas (IEC) instacron:IEC |
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Instituto Evandro Chagas (IEC) |
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IEC |
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IEC |
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Repositório Digital do Instituto Evandro Chagas (Patuá) |
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Repositório Digital do Instituto Evandro Chagas (Patuá) |
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