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The spread of 2019-nCoV in China was primarily driven by population density. Comment on "Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China" by Zhu et al.
Copiello, Sergio; Grillenzoni, Carlo.
  • Copiello S; IUAV University of Venice, Dorsoduro 2206, 30123 Venice, Italy. Electronic address: sergio.copiello@iuav.it.
  • Grillenzoni C; IUAV University of Venice, Dorsoduro 2206, 30123 Venice, Italy.
Sci Total Environ ; 744: 141028, 2020 Nov 20.
Article in English | MEDLINE | ID: covidwho-654451
ABSTRACT
Recently, an article published in the journal Science of the Total Environment and authored by Zhu et al. has claimed the "Association between short-term exposure to air pollution and COVID-19 infection" (doi https//doi.org/10.1016/j.scitotenv.2020.138704). This note shows that the stated dependence between the diffusion of the infection and air pollution may be the result of spurious correlation due to the omission of a common factor, namely, population density. To this end, the relationship between demographic, socio-economic, and environmental conditions and the spread of the novel coronavirus in China is analyzed with spatial regression models on variables deflated by population size. The infection rate - as measured by the number of cases per 100 thousand inhabitants - is found to be strongly related to the population density. At the same time, the association with air pollution is detected with a negative sign, which is difficult to interpret.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Air Pollutants / Air Pollution / Pandemics Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Air Pollutants / Air Pollution / Pandemics Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article