Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
Main Author: | |
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Publication Date: | 2023 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | São Paulo medical journal (Online) |
Download full: | https://periodicosapm.emnuvens.com.br/spmj/article/view/494 |
Summary: | 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 Pindamonhangaba 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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Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series studySARS-Cov-2Air pollutantsNitrogen dioxideBACKGROUND: 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 Pindamonhangaba 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.São Paulo Medical JournalSão Paulo Medical Journal2023-06-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicosapm.emnuvens.com.br/spmj/article/view/494São Paulo Medical Journal; Vol. 141 No. 4 (2023); 1-6São Paulo Medical Journal; v. 141 n. 4 (2023); 1-61806-9460reponame:São Paulo medical journal (Online)instname:Associação Paulista de Medicinainstacron:APMenghttps://periodicosapm.emnuvens.com.br/spmj/article/view/494/444https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNascimento, Luiz Fernando CostaCésar, Ana Cristina GobboLucarevschi, Bianca RezendeSantos, Adriana de Oliveira Ribeiro dosCunha, Cristóvão José Dias da2024-10-07T20:34:28Zoai:ojs.diagnosticoetratamento.emnuvens.com.br:article/494Revistahttp://www.scielo.br/spmjPUBhttps://old.scielo.br/oai/scielo-oai.phprevistas@apm.org.br1806-94601516-3180opendoar:2024-10-07T20:34:28São Paulo medical journal (Online) - Associação Paulista de Medicinafalse |
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 Nascimento, Luiz Fernando Costa SARS-Cov-2 Air pollutants Nitrogen dioxide |
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 |
Nascimento, Luiz Fernando Costa |
author_facet |
Nascimento, Luiz Fernando Costa César, Ana Cristina Gobbo Lucarevschi, Bianca Rezende Santos, Adriana de Oliveira Ribeiro dos Cunha, Cristóvão José Dias da |
author_role |
author |
author2 |
César, Ana Cristina Gobbo Lucarevschi, Bianca Rezende Santos, Adriana de Oliveira Ribeiro dos Cunha, Cristóvão José Dias da |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Nascimento, Luiz Fernando Costa César, Ana Cristina Gobbo Lucarevschi, Bianca Rezende Santos, Adriana de Oliveira Ribeiro dos Cunha, Cristóvão José Dias da |
dc.subject.por.fl_str_mv |
SARS-Cov-2 Air pollutants Nitrogen dioxide |
topic |
SARS-Cov-2 Air pollutants Nitrogen dioxide |
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 Pindamonhangaba 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 |
2023-06-27 |
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://periodicosapm.emnuvens.com.br/spmj/article/view/494 |
url |
https://periodicosapm.emnuvens.com.br/spmj/article/view/494 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicosapm.emnuvens.com.br/spmj/article/view/494/444 |
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 |
dc.publisher.none.fl_str_mv |
São Paulo Medical Journal São Paulo Medical Journal |
publisher.none.fl_str_mv |
São Paulo Medical Journal São Paulo Medical Journal |
dc.source.none.fl_str_mv |
São Paulo Medical Journal; Vol. 141 No. 4 (2023); 1-6 São Paulo Medical Journal; v. 141 n. 4 (2023); 1-6 1806-9460 reponame:São Paulo medical journal (Online) instname:Associação Paulista de Medicina instacron:APM |
instname_str |
Associação Paulista de Medicina |
instacron_str |
APM |
institution |
APM |
reponame_str |
São Paulo medical journal (Online) |
collection |
São Paulo medical journal (Online) |
repository.name.fl_str_mv |
São Paulo medical journal (Online) - Associação Paulista de Medicina |
repository.mail.fl_str_mv |
revistas@apm.org.br |
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1825135057064427520 |