- Titel: Impacts of air pollution on COVID-19 case fatality rate: a global analysis
- Beteiligt:
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Enthalten in:
Environmental science and pollution research; 29(2022), 18 vom: 04. Jan., Seite 27496-27509
- Erschienen: 2022
- ISSN: 0944-1344
- Sprache: Englisch
- Schlagwörter: COVID-19 ; Case fatality rate ; Air pollution ; Spatial variability
- Inhalt: Abstract The coronavirus disease 2019 (COVID-19) pandemic is still rapidly spreading globally. To probe high-risk cities and the impacts of air pollution on public health, this study explores the relationship between the long-term average concentration of air pollution and the city-level case fatality rate (CFR) of COVID-19 globally. Then, geographically weighted regression (GWR) is applied to examine the spatial variability of the relationships. Six air pollution factors, including nitrogen dioxide ($ NO_{2} $), sulfur dioxide ($ SO_{2} $), ozone ($ O_{3} $), $ PM_{2.5} $ (particles with diameter ≤2.5 μm), $ PM_{10} $ (particles with diameter ≤10 μm), and air quality index (AQI), are positively associated with the city-level COVID-19 CFR. Our results indicate that a 1-unit increase in $ NO_{2} $ (part per billion, PPB), $ SO_{2} $ (PPB), $ O_{3} $ (PPB), $ PM_{2.5} $ (microgram per cubic meter, μg/m3), $ PM_{10} $ (μg/m3), AQI (score), is related to a 1.450%, 1.005%, 0.992%, 0.860%, 0.568%, and 0.776% increase in the city-level COVID-19 CFR, respectively. Additionally, the effects of $ NO_{2} $, $ O_{3} $, $ PM_{2.5} $, AQI, and probability of living with poor AQI on COVID-19 spatially vary in view of the estimation of the GWR. In other words, the adverse impacts of air pollution on health are different among the cities. In summary, long-term exposure to air pollution is negatively related to the COVID-19 health outcome, and the relationship is spatially non-stationary. Our research sheds light on the impacts of slashing air pollution on public health in the COVID-19 pandemic to help governments formulate air pollution policies in light of the local situations
- Kommentar: © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
- Medientyp: Artikel
- Datenquelle: OLC Architektur
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