The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/217039 |
Resumo: | OBJECTIVE: This study aims to assess covid-19 morbidity, mortality, and severity from 2020 to 2021 in five Brazilian Amazon states with the highest records of wildfires. METHODS: A distributed lag non-linear model was applied to estimate the potential exposure risk association with particulate matter smaller than 2.5-μm in diameter (PM2.5). Daily mean temperature, relative humidity, percentual of community mobility, number of hospital beds, days of the week, and holidays were considered in the final models for controlling the confounding factors. RESULTS: The states of Para, Mato Grosso, and Amazonas have reported the highest values of overall cases, deaths, and severe cases of covid-19. The worrying growth in the percentual rates in 2020/2021 for the incidence, severity, and mortality were highlighted in Rondônia and Mato Grosso. The growth in 2020/2021 in the estimations of PM2.5 concentrations was higher in Mato Grosso, with an increase of 24.4%, followed by Rondônia (14.9%). CONCLUSION: This study establishes an association between wildfire-generated PM2.5 and increasing covid-19 incidence, mortality, and severity within the studied area. The findings showed that the risk of covid-19 morbidity and mortality is nearly two times higher among individuals exposed to high concentrations of PM2.5. The attributable fraction to PM2.5 in the studied area represents an important role in the risk associated with covid-19 in the Brazilian Amazon region. |
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The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon regionCOVID-19Brazilian AmazonWildfiresFine Particulate MatterOBJECTIVE: This study aims to assess covid-19 morbidity, mortality, and severity from 2020 to 2021 in five Brazilian Amazon states with the highest records of wildfires. METHODS: A distributed lag non-linear model was applied to estimate the potential exposure risk association with particulate matter smaller than 2.5-μm in diameter (PM2.5). Daily mean temperature, relative humidity, percentual of community mobility, number of hospital beds, days of the week, and holidays were considered in the final models for controlling the confounding factors. RESULTS: The states of Para, Mato Grosso, and Amazonas have reported the highest values of overall cases, deaths, and severe cases of covid-19. The worrying growth in the percentual rates in 2020/2021 for the incidence, severity, and mortality were highlighted in Rondônia and Mato Grosso. The growth in 2020/2021 in the estimations of PM2.5 concentrations was higher in Mato Grosso, with an increase of 24.4%, followed by Rondônia (14.9%). CONCLUSION: This study establishes an association between wildfire-generated PM2.5 and increasing covid-19 incidence, mortality, and severity within the studied area. The findings showed that the risk of covid-19 morbidity and mortality is nearly two times higher among individuals exposed to high concentrations of PM2.5. The attributable fraction to PM2.5 in the studied area represents an important role in the risk associated with covid-19 in the Brazilian Amazon region.Universidade de São Paulo. Faculdade de Saúde Pública2023-09-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/21703910.11606/s1518-8787.2023057005134Revista de Saúde Pública; Vol. 57 No. 1 (2023); 67Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 67Revista de Saúde Pública; v. 57 n. 1 (2023); 671518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/217039/198557https://www.revistas.usp.br/rsp/article/view/217039/198556Copyright (c) 2023 Karen dos Santos Gonçalves, Glauber G. Cirino, Marcelo Oliveira da Costa, Lucas de Oliveira do Couto, Giovane G. Tortelote, Sandra de Souza Haconhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGonçalves, Karen dos SantosCirino, Glauber G.Costa, Marcelo Oliveira daCouto, Lucas de Oliveira doTortelote, Giovane G.Hacon, Sandra de Souza2023-10-11T18:02:33Zoai:revistas.usp.br:article/217039Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2023-10-11T18:02:33Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
title |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
spellingShingle |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region Gonçalves, Karen dos Santos COVID-19 Brazilian Amazon Wildfires Fine Particulate Matter |
title_short |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
title_full |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
title_fullStr |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
title_full_unstemmed |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
title_sort |
The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region |
author |
Gonçalves, Karen dos Santos |
author_facet |
Gonçalves, Karen dos Santos Cirino, Glauber G. Costa, Marcelo Oliveira da Couto, Lucas de Oliveira do Tortelote, Giovane G. Hacon, Sandra de Souza |
author_role |
author |
author2 |
Cirino, Glauber G. Costa, Marcelo Oliveira da Couto, Lucas de Oliveira do Tortelote, Giovane G. Hacon, Sandra de Souza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Gonçalves, Karen dos Santos Cirino, Glauber G. Costa, Marcelo Oliveira da Couto, Lucas de Oliveira do Tortelote, Giovane G. Hacon, Sandra de Souza |
dc.subject.por.fl_str_mv |
COVID-19 Brazilian Amazon Wildfires Fine Particulate Matter |
topic |
COVID-19 Brazilian Amazon Wildfires Fine Particulate Matter |
description |
OBJECTIVE: This study aims to assess covid-19 morbidity, mortality, and severity from 2020 to 2021 in five Brazilian Amazon states with the highest records of wildfires. METHODS: A distributed lag non-linear model was applied to estimate the potential exposure risk association with particulate matter smaller than 2.5-μm in diameter (PM2.5). Daily mean temperature, relative humidity, percentual of community mobility, number of hospital beds, days of the week, and holidays were considered in the final models for controlling the confounding factors. RESULTS: The states of Para, Mato Grosso, and Amazonas have reported the highest values of overall cases, deaths, and severe cases of covid-19. The worrying growth in the percentual rates in 2020/2021 for the incidence, severity, and mortality were highlighted in Rondônia and Mato Grosso. The growth in 2020/2021 in the estimations of PM2.5 concentrations was higher in Mato Grosso, with an increase of 24.4%, followed by Rondônia (14.9%). CONCLUSION: This study establishes an association between wildfire-generated PM2.5 and increasing covid-19 incidence, mortality, and severity within the studied area. The findings showed that the risk of covid-19 morbidity and mortality is nearly two times higher among individuals exposed to high concentrations of PM2.5. The attributable fraction to PM2.5 in the studied area represents an important role in the risk associated with covid-19 in the Brazilian Amazon region. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-14 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/217039 10.11606/s1518-8787.2023057005134 |
url |
https://www.revistas.usp.br/rsp/article/view/217039 |
identifier_str_mv |
10.11606/s1518-8787.2023057005134 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/217039/198557 https://www.revistas.usp.br/rsp/article/view/217039/198556 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 57 No. 1 (2023); 67 Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 67 Revista de Saúde Pública; v. 57 n. 1 (2023); 67 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
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1800221803994415104 |