Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series study
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | São Paulo medical journal (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022005025205 |
Resumo: | ABSTRACT 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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São Paulo medical journal (Online) |
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Association between exposure to air pollutants and hospitalization for SARS-Cov-2: an ecological time-series studySARS-Cov-2Air pollutantsNitrogen dioxideFine particulate matterCosts2019 novel coronavirusABSTRACT 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.Associação Paulista de Medicina - APM2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022005025205Sao Paulo Medical Journal n.ahead 2022reponame:São Paulo medical journal (Online)instname:Associação Paulista de Medicinainstacron:APM10.1590/1516-3180.2022.0210.r2.09082022info:eu-repo/semantics/openAccessRibeiro,Paola CristinaCunha,Cristóvão José Dias daSantos,Adriana de Oliveira Ribeiro dosLucarevschi,Bianca RezendeCésar,Ana Cristina GobboNascimento,Luiz Fernando Costaeng2022-09-30T00:00:00Zoai:scielo:S1516-31802022005025205Revistahttp://www.scielo.br/spmjhttps://old.scielo.br/oai/scielo-oai.phprevistas@apm.org.br1806-94601516-3180opendoar:2022-09-30T00:00São 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 Ribeiro,Paola Cristina SARS-Cov-2 Air pollutants Nitrogen dioxide Fine particulate matter Costs 2019 novel coronavirus |
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 |
author_facet |
Ribeiro,Paola Cristina Cunha,Cristóvão José Dias da Santos,Adriana de Oliveira Ribeiro dos Lucarevschi,Bianca Rezende César,Ana Cristina Gobbo Nascimento,Luiz Fernando Costa |
author_role |
author |
author2 |
Cunha,Cristóvão José Dias da Santos,Adriana de Oliveira Ribeiro dos Lucarevschi,Bianca Rezende César,Ana Cristina Gobbo Nascimento,Luiz Fernando Costa |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro,Paola Cristina Cunha,Cristóvão José Dias da Santos,Adriana de Oliveira Ribeiro dos Lucarevschi,Bianca Rezende César,Ana Cristina Gobbo Nascimento,Luiz Fernando Costa |
dc.subject.por.fl_str_mv |
SARS-Cov-2 Air pollutants Nitrogen dioxide Fine particulate matter Costs 2019 novel coronavirus |
topic |
SARS-Cov-2 Air pollutants Nitrogen dioxide Fine particulate matter Costs 2019 novel coronavirus |
description |
ABSTRACT 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 |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022005025205 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802022005025205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1516-3180.2022.0210.r2.09082022 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Paulista de Medicina - APM |
publisher.none.fl_str_mv |
Associação Paulista de Medicina - APM |
dc.source.none.fl_str_mv |
Sao Paulo Medical Journal n.ahead 2022 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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1754209269084848128 |