Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15830 |
Resumo: | The North region is the second region in Brazil with the highest incidence rate of diarrheal diseases in children under 5 years old. The aim of this study was to investigate the relationship between rainfall and water level during the rainy season principally with the incidence rate of this disease in a southwestern Amazon basin. Rainfall estimates and the water level were correlated and both of them were correlated with the diarrheal incidence rate. For the Alto Acre region, 2 to 3 days’ time-lag is the best interval to observe the impact of the rainfall in the water level (R = 0.35). In the Lower Acre region this time-lag increased (4 days) with a reduction in the correlation value was found. The correlation between rainfall and diarrheal disease was better in the Lower Acre region (Acrelândia, R = 0.7) and rainfall upstream of the city. Between water level and diarrheal disease, the best results were found for the Brasiléia gauging station (Brasiléia, R = 0.3; Epitaciolândia, R = 0.5). This study’s results may support planning and financial resources allocation to prioritize actions for local Civil Defense and health care services before, during and after the rainy season. © 2016, Associacao Brasileira de Pos – Graduacao em Saude Coletiva. All rights reserved. |
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Fonseca, Paula Andrea MorelliHacon, S. S.Reis, Vera LúciaCosta, Duarte FilipeBrown, Irving Foster2020-05-19T14:25:46Z2020-05-19T14:25:46Z2016https://repositorio.inpa.gov.br/handle/1/1583010.1590/1413-81232015213.20162015The North region is the second region in Brazil with the highest incidence rate of diarrheal diseases in children under 5 years old. The aim of this study was to investigate the relationship between rainfall and water level during the rainy season principally with the incidence rate of this disease in a southwestern Amazon basin. Rainfall estimates and the water level were correlated and both of them were correlated with the diarrheal incidence rate. For the Alto Acre region, 2 to 3 days’ time-lag is the best interval to observe the impact of the rainfall in the water level (R = 0.35). In the Lower Acre region this time-lag increased (4 days) with a reduction in the correlation value was found. The correlation between rainfall and diarrheal disease was better in the Lower Acre region (Acrelândia, R = 0.7) and rainfall upstream of the city. Between water level and diarrheal disease, the best results were found for the Brasiléia gauging station (Brasiléia, R = 0.3; Epitaciolândia, R = 0.5). This study’s results may support planning and financial resources allocation to prioritize actions for local Civil Defense and health care services before, during and after the rainy season. © 2016, Associacao Brasileira de Pos – Graduacao em Saude Coletiva. All rights reserved.Volume 21, Número 3, Pags. 731-742Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessRainBrasilDiarrheaHumanSeasonUrban PopulationWater FlowBrasilDiarrheaHumansRainSeasonsUrban PopulationWater MovementsUsing satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basinO uso de dados de satélite para estudar a relação entre chuva e doenças diarreicas em uma bacia na amazônia sul-ocidentalinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCiencia e Saude Coletivaengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf2582802https://repositorio.inpa.gov.br/bitstream/1/15830/1/artigo-inpa.pdf52d86dffac792eeca8d334f4b87ba9d4MD511/158302020-05-27 17:04:09.018oai:repositorio:1/15830Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-27T21:04:09Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
dc.title.alternative.pt_BR.fl_str_mv |
O uso de dados de satélite para estudar a relação entre chuva e doenças diarreicas em uma bacia na amazônia sul-ocidental |
title |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
spellingShingle |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin Fonseca, Paula Andrea Morelli Rain Brasil Diarrhea Human Season Urban Population Water Flow Brasil Diarrhea Humans Rain Seasons Urban Population Water Movements |
title_short |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
title_full |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
title_fullStr |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
title_full_unstemmed |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
title_sort |
Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin |
author |
Fonseca, Paula Andrea Morelli |
author_facet |
Fonseca, Paula Andrea Morelli Hacon, S. S. Reis, Vera Lúcia Costa, Duarte Filipe Brown, Irving Foster |
author_role |
author |
author2 |
Hacon, S. S. Reis, Vera Lúcia Costa, Duarte Filipe Brown, Irving Foster |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Fonseca, Paula Andrea Morelli Hacon, S. S. Reis, Vera Lúcia Costa, Duarte Filipe Brown, Irving Foster |
dc.subject.eng.fl_str_mv |
Rain Brasil Diarrhea Human Season Urban Population Water Flow Brasil Diarrhea Humans Rain Seasons Urban Population Water Movements |
topic |
Rain Brasil Diarrhea Human Season Urban Population Water Flow Brasil Diarrhea Humans Rain Seasons Urban Population Water Movements |
description |
The North region is the second region in Brazil with the highest incidence rate of diarrheal diseases in children under 5 years old. The aim of this study was to investigate the relationship between rainfall and water level during the rainy season principally with the incidence rate of this disease in a southwestern Amazon basin. Rainfall estimates and the water level were correlated and both of them were correlated with the diarrheal incidence rate. For the Alto Acre region, 2 to 3 days’ time-lag is the best interval to observe the impact of the rainfall in the water level (R = 0.35). In the Lower Acre region this time-lag increased (4 days) with a reduction in the correlation value was found. The correlation between rainfall and diarrheal disease was better in the Lower Acre region (Acrelândia, R = 0.7) and rainfall upstream of the city. Between water level and diarrheal disease, the best results were found for the Brasiléia gauging station (Brasiléia, R = 0.3; Epitaciolândia, R = 0.5). This study’s results may support planning and financial resources allocation to prioritize actions for local Civil Defense and health care services before, during and after the rainy season. © 2016, Associacao Brasileira de Pos – Graduacao em Saude Coletiva. All rights reserved. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2020-05-19T14:25:46Z |
dc.date.available.fl_str_mv |
2020-05-19T14:25:46Z |
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.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15830 |
dc.identifier.doi.none.fl_str_mv |
10.1590/1413-81232015213.20162015 |
url |
https://repositorio.inpa.gov.br/handle/1/15830 |
identifier_str_mv |
10.1590/1413-81232015213.20162015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 21, Número 3, Pags. 731-742 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Ciencia e Saude Coletiva |
publisher.none.fl_str_mv |
Ciencia e Saude Coletiva |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Instituto Nacional de Pesquisas da Amazônia (INPA) |
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INPA |
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INPA |
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Repositório Institucional do INPA |
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Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/15830/1/artigo-inpa.pdf |
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Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA) |
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