Cargando…

Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()

The study of the impacts of air pollution on COVID-19 has gained increasing attention. However, most of the existing studies are based on a single country, with a high degree of variation in the results reported in different papers. We attempt to inform the debate about the long-term effects of air...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Guowen, Blangiardo, Marta, Brown, Patrick E., Pirani, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354798/
https://www.ncbi.nlm.nih.gov/pubmed/34774259
http://dx.doi.org/10.1016/j.sste.2021.100443
_version_ 1783736654736916480
author Huang, Guowen
Blangiardo, Marta
Brown, Patrick E.
Pirani, Monica
author_facet Huang, Guowen
Blangiardo, Marta
Brown, Patrick E.
Pirani, Monica
author_sort Huang, Guowen
collection PubMed
description The study of the impacts of air pollution on COVID-19 has gained increasing attention. However, most of the existing studies are based on a single country, with a high degree of variation in the results reported in different papers. We attempt to inform the debate about the long-term effects of air pollution on COVID-19 by conducting a multi-country analysis using a spatial ecological design, including Canada, Italy, England and the United States. The model allows the residual spatial autocorrelation after accounting for covariates. It is concluded that the effects of PM(2.5) and NO [Formula: see text] are inconsistent across countries. Specifically, NO [Formula: see text] was not found to be an important factor affecting COVID-19 infection, while a large effect for PM(2.5) in the US is not found in the other three countries. The Population Attributable Fraction for COVID-19 incidence ranges from 3.4% in Canada to 45.9% in Italy, although with considerable uncertainty in these estimates.
format Online
Article
Text
id pubmed-8354798
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-83547982021-08-11 Long-term exposure to air pollution and COVID-19 incidence: A multi-country study() Huang, Guowen Blangiardo, Marta Brown, Patrick E. Pirani, Monica Spat Spatiotemporal Epidemiol Original Research The study of the impacts of air pollution on COVID-19 has gained increasing attention. However, most of the existing studies are based on a single country, with a high degree of variation in the results reported in different papers. We attempt to inform the debate about the long-term effects of air pollution on COVID-19 by conducting a multi-country analysis using a spatial ecological design, including Canada, Italy, England and the United States. The model allows the residual spatial autocorrelation after accounting for covariates. It is concluded that the effects of PM(2.5) and NO [Formula: see text] are inconsistent across countries. Specifically, NO [Formula: see text] was not found to be an important factor affecting COVID-19 infection, while a large effect for PM(2.5) in the US is not found in the other three countries. The Population Attributable Fraction for COVID-19 incidence ranges from 3.4% in Canada to 45.9% in Italy, although with considerable uncertainty in these estimates. Elsevier Ltd. 2021-11 2021-08-11 /pmc/articles/PMC8354798/ /pubmed/34774259 http://dx.doi.org/10.1016/j.sste.2021.100443 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Research
Huang, Guowen
Blangiardo, Marta
Brown, Patrick E.
Pirani, Monica
Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()
title Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()
title_full Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()
title_fullStr Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()
title_full_unstemmed Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()
title_short Long-term exposure to air pollution and COVID-19 incidence: A multi-country study()
title_sort long-term exposure to air pollution and covid-19 incidence: a multi-country study()
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354798/
https://www.ncbi.nlm.nih.gov/pubmed/34774259
http://dx.doi.org/10.1016/j.sste.2021.100443
work_keys_str_mv AT huangguowen longtermexposuretoairpollutionandcovid19incidenceamulticountrystudy
AT blangiardomarta longtermexposuretoairpollutionandcovid19incidenceamulticountrystudy
AT brownpatricke longtermexposuretoairpollutionandcovid19incidenceamulticountrystudy
AT piranimonica longtermexposuretoairpollutionandcovid19incidenceamulticountrystudy