Artigo

Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)

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?lev...

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Autor principal: Leal, Philipe Riskalla
Outros Autores: Guimar?es, Ricardo Jos? de Paula Souza e, Kampel, Milton
Grau: Artigo
Idioma: eng
Publicado em: Wiley 2021
Assuntos:
Hepatite A / patologia
Hepatite A / transmiss?o
Sistemas de Informa??o Geogr?fica
An?lise por Conglomerados
Densidade Demogr?fica
Acesso em linha: http://patua.iec.gov.br//handle/iec/4302
id ir-iec-4302
recordtype dspace
spelling ir-iec-43022021-05-03T18:02:40Z Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil) Leal, Philipe Riskalla Guimar?es, Ricardo Jos? de Paula Souza e Kampel, Milton Hepatite A / patologia Hepatite A / transmiss?o Sistemas de Informa??o Geogr?fica An?lise por Conglomerados Densidade Demogr?fica 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 Par?, Brazil. Generalized linear and non?linear models were evaluated as alternative predictors for hepatitis?A transmission in Par?. 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 Par? 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). 2021-05-03T17:44:29Z 2021-05-03T17:44:29Z 2021 Artigo LEAL, Philipe Riskalla; GUIMAR?ES, Ricardo Jos? de Paula Souza e; KAMPEL, Milton. Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil). v. xx, n. xx, p. 1-29, Apr. 2021. 2471-1403 http://patua.iec.gov.br//handle/iec/4302 10.1029/2020GH000327 eng Acesso Aberto application/pdf Wiley
institution Instituto Evandro Chagas (IEC)
collection PATUA
language eng
topic Hepatite A / patologia
Hepatite A / transmiss?o
Sistemas de Informa??o Geogr?fica
An?lise por Conglomerados
Densidade Demogr?fica
spellingShingle Hepatite A / patologia
Hepatite A / transmiss?o
Sistemas de Informa??o Geogr?fica
An?lise por Conglomerados
Densidade Demogr?fica
Leal, Philipe Riskalla
Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)
topic_facet Hepatite A / patologia
Hepatite A / transmiss?o
Sistemas de Informa??o Geogr?fica
An?lise por Conglomerados
Densidade Demogr?fica
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 Par?, Brazil. Generalized linear and non?linear models were evaluated as alternative predictors for hepatitis?A transmission in Par?. 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 Par? 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.
format Artigo
author Leal, Philipe Riskalla
author2 Guimar?es, Ricardo Jos? de Paula Souza e
Kampel, Milton
author2Str Guimar?es, Ricardo Jos? de Paula Souza e
Kampel, Milton
title Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)
title_short Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)
title_full Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)
title_fullStr Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)
title_full_unstemmed Association between environmental and sociodemographic data and hepatitis?A transmission in Par? state (Brazil)
title_sort association between environmental and sociodemographic data and hepatitis?a transmission in par? state (brazil)
publisher Wiley
publishDate 2021
url http://patua.iec.gov.br//handle/iec/4302
_version_ 1717584457387474944
score 11.755432

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