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Long-term exposure to air pollution and COVID-19 incidence: A multi-country study.
Huang, Guowen; Blangiardo, Marta; Brown, Patrick E; Pirani, Monica.
  • Huang G; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada; Centre for Global Health Research, St Michael's Hospital, Toronto, ON, Canada. Electronic address: hgw0610209@gmail.com.
  • Blangiardo M; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Brown PE; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada; Centre for Global Health Research, St Michael's Hospital, Toronto, ON, Canada.
  • Pirani M; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Spat Spatiotemporal Epidemiol ; 39: 100443, 2021 11.
Article in English | MEDLINE | ID: covidwho-1459135
ABSTRACT
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 PM2.5 and NO2 are inconsistent across countries. Specifically, NO2 was not found to be an important factor affecting COVID-19 infection, while a large effect for PM2.5 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study Topics: Long Covid Limits: Humans Country/Region as subject: North America Language: English Journal: Spat Spatiotemporal Epidemiol Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study Topics: Long Covid Limits: Humans Country/Region as subject: North America Language: English Journal: Spat Spatiotemporal Epidemiol Year: 2021 Document Type: Article