The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Karen dos Santos
Data de Publicação: 2023
Outros Autores: Cirino, Glauber G., Costa, Marcelo Oliveira da, Couto, Lucas de Oliveira do, Tortelote, Giovane G., Hacon, Sandra de Souza
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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spelling 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
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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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