Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Paola Cristina [UNESP]
Data de Publicação: 2023
Outros Autores: da Cunha, Cristóvão José Dias [UNESP], Dos Santos, Adriana de Oliveira Ribeiro [UNESP], Lucarevschi, Bianca Rezende [UNESP], César, Ana Cristina Gobbo [UNESP], Nascimento, Luiz Fernando Costa [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1516-3180.2022.0210.R2.09082022
http://hdl.handle.net/11449/247203
Resumo: BACKGROUND: Exposure to air pollutants and illness by severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection can cause serious pulmonary impairment. OBJECTIVE: To identify a possible association between exposure to air pollutants and hospitalizations due to SARS-Cov-2. DESIGN AND SETTING: Ecological time-series study carried out in Taubaté, Tremembé, and Pindamon-hangaba in 2020 and 2021. METHODS: Study with Sars-Cov-2 hospitalizations with information on hospitalization date, sex and age of the subjects, duration of hospitalization, type of discharge, and costs of these hospitalizations. Statistical analysis was performed through a negative binomial regression, with data on pollutant concentrations, temperature, air relative humidity, and hospitalization date. Coefficients obtained by the analysis were transformed into relative risk for hospitalization, which estimated hospitalizations excess according to an increase in pollutant concentrations. RESULTS: There were 1,300 hospitalizations and 368 deaths, with a predominance of men (61.7%). These data represent an incidence rate of 250.4 per 100,000 inhabitants and 28.4% hospital lethality. Significant exposure (P value < 0.05) occurred seven days before hospital admission (lag 7) for nitrogen dioxide (NO2) (relative risk, RR = 1.0124) and two days before hospital admission for PM2.5 (RR = 1.0216). A 10 μg/m3 in NO2 concentration would decrease by 320 hospitalizations and » US $ 240,000 in costs; a 5 μg/m3 in PM2.5 concentration would decrease by 278 hospitalizations and » US $ 190,000 in costs. CONCLUSION: An association between exposure to air pollutants and hospital admission due to Sars-Cov-2 was observed with excess hospitalization and costs for the Brazilian public health system.
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spelling Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study2019 novel coronavirusAir pollutantsCostsFine particulate matterNitrogen dioxideSARS-Cov-2BACKGROUND: Exposure to air pollutants and illness by severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection can cause serious pulmonary impairment. OBJECTIVE: To identify a possible association between exposure to air pollutants and hospitalizations due to SARS-Cov-2. DESIGN AND SETTING: Ecological time-series study carried out in Taubaté, Tremembé, and Pindamon-hangaba in 2020 and 2021. METHODS: Study with Sars-Cov-2 hospitalizations with information on hospitalization date, sex and age of the subjects, duration of hospitalization, type of discharge, and costs of these hospitalizations. Statistical analysis was performed through a negative binomial regression, with data on pollutant concentrations, temperature, air relative humidity, and hospitalization date. Coefficients obtained by the analysis were transformed into relative risk for hospitalization, which estimated hospitalizations excess according to an increase in pollutant concentrations. RESULTS: There were 1,300 hospitalizations and 368 deaths, with a predominance of men (61.7%). These data represent an incidence rate of 250.4 per 100,000 inhabitants and 28.4% hospital lethality. Significant exposure (P value < 0.05) occurred seven days before hospital admission (lag 7) for nitrogen dioxide (NO2) (relative risk, RR = 1.0124) and two days before hospital admission for PM2.5 (RR = 1.0216). A 10 μg/m3 in NO2 concentration would decrease by 320 hospitalizations and » US $ 240,000 in costs; a 5 μg/m3 in PM2.5 concentration would decrease by 278 hospitalizations and » US $ 190,000 in costs. CONCLUSION: An association between exposure to air pollutants and hospital admission due to Sars-Cov-2 was observed with excess hospitalization and costs for the Brazilian public health system.Department of Chemistry and Energy Universidade Estadual de São Paulo (UNESP), SPDepartment of Chemistry and Energy Universidade Estadual de São Paulo (UNESP), SPUniversidade Estadual Paulista (UNESP)Ribeiro, Paola Cristina [UNESP]da Cunha, Cristóvão José Dias [UNESP]Dos Santos, Adriana de Oliveira Ribeiro [UNESP]Lucarevschi, Bianca Rezende [UNESP]César, Ana Cristina Gobbo [UNESP]Nascimento, Luiz Fernando Costa [UNESP]2023-07-29T13:09:06Z2023-07-29T13:09:06Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1590/1516-3180.2022.0210.R2.09082022Sao Paulo Medical Journal, v. 141, n. 4, 2023.1516-3180http://hdl.handle.net/11449/24720310.1590/1516-3180.2022.0210.R2.090820222-s2.0-85152955441Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSao Paulo Medical Journalinfo:eu-repo/semantics/openAccess2023-07-29T13:09:06Zoai:repositorio.unesp.br:11449/247203Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:02:28.212402Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
title Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
spellingShingle Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
Ribeiro, Paola Cristina [UNESP]
2019 novel coronavirus
Air pollutants
Costs
Fine particulate matter
Nitrogen dioxide
SARS-Cov-2
title_short Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
title_full Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
title_fullStr Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
title_full_unstemmed Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
title_sort Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
author Ribeiro, Paola Cristina [UNESP]
author_facet Ribeiro, Paola Cristina [UNESP]
da Cunha, Cristóvão José Dias [UNESP]
Dos Santos, Adriana de Oliveira Ribeiro [UNESP]
Lucarevschi, Bianca Rezende [UNESP]
César, Ana Cristina Gobbo [UNESP]
Nascimento, Luiz Fernando Costa [UNESP]
author_role author
author2 da Cunha, Cristóvão José Dias [UNESP]
Dos Santos, Adriana de Oliveira Ribeiro [UNESP]
Lucarevschi, Bianca Rezende [UNESP]
César, Ana Cristina Gobbo [UNESP]
Nascimento, Luiz Fernando Costa [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Ribeiro, Paola Cristina [UNESP]
da Cunha, Cristóvão José Dias [UNESP]
Dos Santos, Adriana de Oliveira Ribeiro [UNESP]
Lucarevschi, Bianca Rezende [UNESP]
César, Ana Cristina Gobbo [UNESP]
Nascimento, Luiz Fernando Costa [UNESP]
dc.subject.por.fl_str_mv 2019 novel coronavirus
Air pollutants
Costs
Fine particulate matter
Nitrogen dioxide
SARS-Cov-2
topic 2019 novel coronavirus
Air pollutants
Costs
Fine particulate matter
Nitrogen dioxide
SARS-Cov-2
description BACKGROUND: Exposure to air pollutants and illness by severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection can cause serious pulmonary impairment. OBJECTIVE: To identify a possible association between exposure to air pollutants and hospitalizations due to SARS-Cov-2. DESIGN AND SETTING: Ecological time-series study carried out in Taubaté, Tremembé, and Pindamon-hangaba in 2020 and 2021. METHODS: Study with Sars-Cov-2 hospitalizations with information on hospitalization date, sex and age of the subjects, duration of hospitalization, type of discharge, and costs of these hospitalizations. Statistical analysis was performed through a negative binomial regression, with data on pollutant concentrations, temperature, air relative humidity, and hospitalization date. Coefficients obtained by the analysis were transformed into relative risk for hospitalization, which estimated hospitalizations excess according to an increase in pollutant concentrations. RESULTS: There were 1,300 hospitalizations and 368 deaths, with a predominance of men (61.7%). These data represent an incidence rate of 250.4 per 100,000 inhabitants and 28.4% hospital lethality. Significant exposure (P value < 0.05) occurred seven days before hospital admission (lag 7) for nitrogen dioxide (NO2) (relative risk, RR = 1.0124) and two days before hospital admission for PM2.5 (RR = 1.0216). A 10 μg/m3 in NO2 concentration would decrease by 320 hospitalizations and » US $ 240,000 in costs; a 5 μg/m3 in PM2.5 concentration would decrease by 278 hospitalizations and » US $ 190,000 in costs. CONCLUSION: An association between exposure to air pollutants and hospital admission due to Sars-Cov-2 was observed with excess hospitalization and costs for the Brazilian public health system.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:09:06Z
2023-07-29T13:09:06Z
2023-01-01
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 http://dx.doi.org/10.1590/1516-3180.2022.0210.R2.09082022
Sao Paulo Medical Journal, v. 141, n. 4, 2023.
1516-3180
http://hdl.handle.net/11449/247203
10.1590/1516-3180.2022.0210.R2.09082022
2-s2.0-85152955441
url http://dx.doi.org/10.1590/1516-3180.2022.0210.R2.09082022
http://hdl.handle.net/11449/247203
identifier_str_mv Sao Paulo Medical Journal, v. 141, n. 4, 2023.
1516-3180
10.1590/1516-3180.2022.0210.R2.09082022
2-s2.0-85152955441
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sao Paulo Medical Journal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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