Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15554 |
Resumo: | Understanding the relations between rainfall and river water levels and malaria cases can provide important clues on modulation of the disease in the context of local climatic variability. In order to demonstrate how these relations can vary in the same endemic space, a coherence and wavelet phase analysis was performed between environmental and epidemiological variables from 2003 to 2010 for 8 municipalities (counties) in the state of Amazonas, Brazil (Barcelos, Borba, Canutama, Carauari, Coari, Eirunepé, Humaitá, and São Gabriel da Cachoeira). The results suggest significant coherences, mainly on the scale of annual variability, but scales of less than 1 year and of 2 years were also found. The analyses show that malaria cases display a peak at approximately 1 and a half months before or after peak rainfall and on average 1-4 months after peak river water levels in most of the municipalities studied. Each environmental variable displayed distinct local behavior in time and in space, suggesting that other local variables (e.g. topography) may control environmental conditions, favoring different patterns in each municipality. However, when the analyses were performed jointly it was possible to show a non-random order in these relations. Although environmental and climatic factors indicate a certain influence on malaria dynamics, surveillance, prevention, and control issues should not be overlooked, meaning that government public health interventions can mask possible relations with local hydrological and climatic conditions. © 2019, Fundacao Oswaldo Cruz. All rights reserved. |
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Wolfarth-Couto, BrunaSilva, Rosimeire Araújo daFilizola, Naziano Pantoja2020-05-14T23:21:43Z2020-05-14T23:21:43Z2019https://repositorio.inpa.gov.br/handle/1/1555410.1590/0102-311x00020218Understanding the relations between rainfall and river water levels and malaria cases can provide important clues on modulation of the disease in the context of local climatic variability. In order to demonstrate how these relations can vary in the same endemic space, a coherence and wavelet phase analysis was performed between environmental and epidemiological variables from 2003 to 2010 for 8 municipalities (counties) in the state of Amazonas, Brazil (Barcelos, Borba, Canutama, Carauari, Coari, Eirunepé, Humaitá, and São Gabriel da Cachoeira). The results suggest significant coherences, mainly on the scale of annual variability, but scales of less than 1 year and of 2 years were also found. The analyses show that malaria cases display a peak at approximately 1 and a half months before or after peak rainfall and on average 1-4 months after peak river water levels in most of the municipalities studied. Each environmental variable displayed distinct local behavior in time and in space, suggesting that other local variables (e.g. topography) may control environmental conditions, favoring different patterns in each municipality. However, when the analyses were performed jointly it was possible to show a non-random order in these relations. Although environmental and climatic factors indicate a certain influence on malaria dynamics, surveillance, prevention, and control issues should not be overlooked, meaning that government public health interventions can mask possible relations with local hydrological and climatic conditions. © 2019, Fundacao Oswaldo Cruz. All rights reserved.Volume 35, Número 2Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessRainAnimalsBrasilClimateDemographyDisease CarrierHumanHydrologyIncidenceMalariaRiverSeasonAnimalBrasilClimateDisease VectorsHumansHydrologyIncidenceMalariaRainResidence CharacteristicsRiversSeasonsVariability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, BrazilVariabilidade dos casos de malária e sua relação com a precipitação e nível d’água dos rios no estado do Amazonas, Brasil]info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCadernos de Saúde Públicaporreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf1920879https://repositorio.inpa.gov.br/bitstream/1/15554/1/artigo-inpa.pdf8ae91b334e3d1a8cb5536f922cb7096aMD511/155542020-07-14 11:24:40.575oai:repositorio:1/15554Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:24:40Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
dc.title.alternative.pt_BR.fl_str_mv |
Variabilidade dos casos de malária e sua relação com a precipitação e nível d’água dos rios no estado do Amazonas, Brasil] |
title |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
spellingShingle |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil Wolfarth-Couto, Bruna Rain Animals Brasil Climate Demography Disease Carrier Human Hydrology Incidence Malaria River Season Animal Brasil Climate Disease Vectors Humans Hydrology Incidence Malaria Rain Residence Characteristics Rivers Seasons |
title_short |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
title_full |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
title_fullStr |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
title_full_unstemmed |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
title_sort |
Variability in malaria cases and the association with rainfall and rivers water levels in Amazonas State, Brazil |
author |
Wolfarth-Couto, Bruna |
author_facet |
Wolfarth-Couto, Bruna Silva, Rosimeire Araújo da Filizola, Naziano Pantoja |
author_role |
author |
author2 |
Silva, Rosimeire Araújo da Filizola, Naziano Pantoja |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Wolfarth-Couto, Bruna Silva, Rosimeire Araújo da Filizola, Naziano Pantoja |
dc.subject.eng.fl_str_mv |
Rain Animals Brasil Climate Demography Disease Carrier Human Hydrology Incidence Malaria River Season Animal Brasil Climate Disease Vectors Humans Hydrology Incidence Malaria Rain Residence Characteristics Rivers Seasons |
topic |
Rain Animals Brasil Climate Demography Disease Carrier Human Hydrology Incidence Malaria River Season Animal Brasil Climate Disease Vectors Humans Hydrology Incidence Malaria Rain Residence Characteristics Rivers Seasons |
description |
Understanding the relations between rainfall and river water levels and malaria cases can provide important clues on modulation of the disease in the context of local climatic variability. In order to demonstrate how these relations can vary in the same endemic space, a coherence and wavelet phase analysis was performed between environmental and epidemiological variables from 2003 to 2010 for 8 municipalities (counties) in the state of Amazonas, Brazil (Barcelos, Borba, Canutama, Carauari, Coari, Eirunepé, Humaitá, and São Gabriel da Cachoeira). The results suggest significant coherences, mainly on the scale of annual variability, but scales of less than 1 year and of 2 years were also found. The analyses show that malaria cases display a peak at approximately 1 and a half months before or after peak rainfall and on average 1-4 months after peak river water levels in most of the municipalities studied. Each environmental variable displayed distinct local behavior in time and in space, suggesting that other local variables (e.g. topography) may control environmental conditions, favoring different patterns in each municipality. However, when the analyses were performed jointly it was possible to show a non-random order in these relations. Although environmental and climatic factors indicate a certain influence on malaria dynamics, surveillance, prevention, and control issues should not be overlooked, meaning that government public health interventions can mask possible relations with local hydrological and climatic conditions. © 2019, Fundacao Oswaldo Cruz. All rights reserved. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-05-14T23:21:43Z |
dc.date.available.fl_str_mv |
2020-05-14T23:21:43Z |
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/1/15554 |
dc.identifier.doi.none.fl_str_mv |
10.1590/0102-311x00020218 |
url |
https://repositorio.inpa.gov.br/handle/1/15554 |
identifier_str_mv |
10.1590/0102-311x00020218 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 35, Número 2 |
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 |
Cadernos de Saúde Pública |
publisher.none.fl_str_mv |
Cadernos de Saúde Pública |
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INPA |
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Repositório Institucional do INPA |
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