Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)

Detalhes bibliográficos
Autor(a) principal: Leal, Philipe Riskalla
Data de Publicação: 2021
Outros Autores: Guimarães, Ricardo José de Paula Souza e, Kampel, Milton
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/4302
Resumo: Hepatitis‐A is a waterborne infectious disease transmitted by the eponymous hepatitis‐A virus (HAV). Due to the disease's sociodemographic and environmental characteristics, this study applied public census and remote sensing data to assess risk factors for hepatitis‐A transmission. Municipality‐level data were obtained for the state of Pará, Brazil. Generalized linear and non‐linear models were evaluated as alternative predictors for hepatitis‐A transmission in Pará. The Histogram Gradient Boost (HGB) regression model was deemed the best choice (urn:x-wiley:24711403:media:gh2229:gh2229-math-0001= 2.36, and higherurn:x-wiley:24711403:media:gh2229:gh2229-math-0002 = 0.95) among the tested models. Partial dependence analysis (PDA) and permutation feature importance analysis (PFI) were used to investigate the partial dependence and the relative importance values of the independent variables in the disease transmission prediction model. Results indicated a complex relationship between the disease transmission and the sociodemographic and environmental characteristics of the study area. Population size, lack of sanitation, urban clustering, year of notification, insufficient public vaccination programs, household proximity to open‐air dumpsites and storm‐drains, and lack of access to healthcare facilities and hospitals were sociodemographic parameters related to HAV transmission. Turbidity and precipitation were the environmental parameters closest related to disease transmission. Based on HGB model, a hepatitis‐A risk map was built for Pará state. The obtained risk map can be thought of as an auxiliary tool for public health strategies. This study reinforces the need to incorporate remote sensing data in epidemiological modelling and surveillance plans for the development of early prevention strategies for hepatitis‐A.
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spelling Leal, Philipe RiskallaGuimarães, Ricardo José de Paula Souza eKampel, Milton2021-05-03T17:44:29Z2021-05-03T17:44:29Z2021LEAL, Philipe Riskalla; GUIMARÃES, Ricardo José de Paula Souza e; KAMPEL, Milton. Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil). v. xx, n. xx, p. 1-29, Apr. 2021.2471-1403https://patua.iec.gov.br/handle/iec/430210.1029/2020GH000327Hepatitis‐A is a waterborne infectious disease transmitted by the eponymous hepatitis‐A virus (HAV). Due to the disease's sociodemographic and environmental characteristics, this study applied public census and remote sensing data to assess risk factors for hepatitis‐A transmission. Municipality‐level data were obtained for the state of Pará, Brazil. Generalized linear and non‐linear models were evaluated as alternative predictors for hepatitis‐A transmission in Pará. The Histogram Gradient Boost (HGB) regression model was deemed the best choice (urn:x-wiley:24711403:media:gh2229:gh2229-math-0001= 2.36, and higherurn:x-wiley:24711403:media:gh2229:gh2229-math-0002 = 0.95) among the tested models. Partial dependence analysis (PDA) and permutation feature importance analysis (PFI) were used to investigate the partial dependence and the relative importance values of the independent variables in the disease transmission prediction model. Results indicated a complex relationship between the disease transmission and the sociodemographic and environmental characteristics of the study area. Population size, lack of sanitation, urban clustering, year of notification, insufficient public vaccination programs, household proximity to open‐air dumpsites and storm‐drains, and lack of access to healthcare facilities and hospitals were sociodemographic parameters related to HAV transmission. Turbidity and precipitation were the environmental parameters closest related to disease transmission. Based on HGB model, a hepatitis‐A risk map was built for Pará state. The obtained risk map can be thought of as an auxiliary tool for public health strategies. This study reinforces the need to incorporate remote sensing data in epidemiological modelling and surveillance plans for the development of early prevention strategies for hepatitis‐A.Coordination for the Improvement of Higher Education Personnel, CAPES (finance Code 001), National Research Council, CNPq (grant #313588/2019-8) under program 2019-2023 (no. 4444327/2019-5) of the National Institute for Space Research, INPE; Brazil´s National Research Council (CNPq, grant #313588/2019- 8).Ministry of Science, Technology and Innovations. National Institute for Space Research. Brasília, DF, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocessamento. Ananindeua, PA, Brasil.Ministry of Science, Technology and Innovations. National Institute for Space Research. Brasília, DF, Brazil.engWileyAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleHepatite A / patologiaHepatite A / transmissãoSistemas de Informação GeográficaAnálise por ConglomeradosDensidade Demográficainfo:eu-repo/semantics/openAccessreponame:Repositório Digital do Instituto Evandro Chagas (Patuá)instname:Instituto Evandro Chagas (IEC)instacron:IECLICENSElicense.txtlicense.txttext/plain; charset=utf-82182https://patua.iec.gov.br/bitstreams/7b66e4a3-77e9-4afc-bf32-35a4e34506eb/download11832eea31b16df8613079d742d61793MD52ORIGINALAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil).pdfAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil).pdfapplication/pdf6726145https://patua.iec.gov.br/bitstreams/e968703f-7719-4af3-b553-21fe3c629c68/downloadf9ca8302876896a8295182978391d4f2MD53TEXTAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil).pdf.txtAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil).pdf.txtExtracted texttext/plain80303https://patua.iec.gov.br/bitstreams/209769b5-7488-4977-ba08-2780408a5312/download26cd203739869291f874923c3d302866MD56THUMBNAILAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil).pdf.jpgAssociation between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil).pdf.jpgGenerated Thumbnailimage/jpeg5659https://patua.iec.gov.br/bitstreams/bb65dae2-5934-4f1f-979d-2d406d614892/download80d1e6911fdab5275fc660ccc2d8f1ceMD57iec/43022022-10-20 22:11:02.533oai:patua.iec.gov.br:iec/4302https://patua.iec.gov.brRepositório InstitucionalPUBhttps://patua.iec.gov.br/oai/requestclariceneta@iec.gov.br || Biblioteca@iec.gov.bropendoar:2022-10-20T22:11:02Repositório Digital do Instituto Evandro Chagas (Patuá) - 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dc.title.pt_BR.fl_str_mv Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
title Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
spellingShingle Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
Leal, Philipe Riskalla
Hepatite A / patologia
Hepatite A / transmissão
Sistemas de Informação Geográfica
Análise por Conglomerados
Densidade Demográfica
title_short Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
title_full Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
title_fullStr Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
title_full_unstemmed Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
title_sort Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil)
author Leal, Philipe Riskalla
author_facet Leal, Philipe Riskalla
Guimarães, Ricardo José de Paula Souza e
Kampel, Milton
author_role author
author2 Guimarães, Ricardo José de Paula Souza e
Kampel, Milton
author2_role author
author
dc.contributor.author.fl_str_mv Leal, Philipe Riskalla
Guimarães, Ricardo José de Paula Souza e
Kampel, Milton
dc.subject.decsPrimary.pt_BR.fl_str_mv Hepatite A / patologia
Hepatite A / transmissão
Sistemas de Informação Geográfica
Análise por Conglomerados
Densidade Demográfica
topic Hepatite A / patologia
Hepatite A / transmissão
Sistemas de Informação Geográfica
Análise por Conglomerados
Densidade Demográfica
description Hepatitis‐A is a waterborne infectious disease transmitted by the eponymous hepatitis‐A virus (HAV). Due to the disease's sociodemographic and environmental characteristics, this study applied public census and remote sensing data to assess risk factors for hepatitis‐A transmission. Municipality‐level data were obtained for the state of Pará, Brazil. Generalized linear and non‐linear models were evaluated as alternative predictors for hepatitis‐A transmission in Pará. The Histogram Gradient Boost (HGB) regression model was deemed the best choice (urn:x-wiley:24711403:media:gh2229:gh2229-math-0001= 2.36, and higherurn:x-wiley:24711403:media:gh2229:gh2229-math-0002 = 0.95) among the tested models. Partial dependence analysis (PDA) and permutation feature importance analysis (PFI) were used to investigate the partial dependence and the relative importance values of the independent variables in the disease transmission prediction model. Results indicated a complex relationship between the disease transmission and the sociodemographic and environmental characteristics of the study area. Population size, lack of sanitation, urban clustering, year of notification, insufficient public vaccination programs, household proximity to open‐air dumpsites and storm‐drains, and lack of access to healthcare facilities and hospitals were sociodemographic parameters related to HAV transmission. Turbidity and precipitation were the environmental parameters closest related to disease transmission. Based on HGB model, a hepatitis‐A risk map was built for Pará state. The obtained risk map can be thought of as an auxiliary tool for public health strategies. This study reinforces the need to incorporate remote sensing data in epidemiological modelling and surveillance plans for the development of early prevention strategies for hepatitis‐A.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-05-03T17:44:29Z
dc.date.available.fl_str_mv 2021-05-03T17:44:29Z
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
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dc.identifier.citation.fl_str_mv LEAL, Philipe Riskalla; GUIMARÃES, Ricardo José de Paula Souza e; KAMPEL, Milton. Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil). v. xx, n. xx, p. 1-29, Apr. 2021.
dc.identifier.uri.fl_str_mv https://patua.iec.gov.br/handle/iec/4302
dc.identifier.issn.-.fl_str_mv 2471-1403
dc.identifier.doi.-.fl_str_mv 10.1029/2020GH000327
identifier_str_mv LEAL, Philipe Riskalla; GUIMARÃES, Ricardo José de Paula Souza e; KAMPEL, Milton. Association between environmental and sociodemographic data and hepatitis‐A transmission in Pará state (Brazil). v. xx, n. xx, p. 1-29, Apr. 2021.
2471-1403
10.1029/2020GH000327
url https://patua.iec.gov.br/handle/iec/4302
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Wiley
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