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• W3136193831 abstract "The impact of high concentrations of air pollution on COVID-19 has been a major air quality and life safety issue in recent studies. This study aimed to assess the contribution of different air pollution indicators in different spaces on the newly confirmed cases of coronavirus. According to causality's results between air pollution (AP) and COVID-19 infection in 9 countries, first, we examined the non-linear relationship from AP to COVID-19 with PM2.5 as the rating variable (the cut point is 35 μg/m3) at the national level. It is concluded that the effects of PM2.5 and PM10 on COVID-19 are more sensitive in Russia, England, Germany, and France, while O3 and PM2.5 are more sensitive in America and Canada from 21 Jan to 20 May. Second, we examined the threshold effects from AP to COVID-19 with PM2.5, PM10, SO2, CO, NO2, and O3 as the threshold variables, respectively, at the municipal level in China during the period 28 Jan to 31 May. It is concluded that except CO, the remaining 5 indicators are very sensitive to the increase of newly confirmed cases, and the spread of COVID-19 can be prevented and controlled by the determination of thresholds. In addition, the 9 countries and 27 provinces show that PM2.5 in high concentrations is the more sensitive pollutant on the spread of COVID-19 infection." @default.
• W3136193831 created "2021-03-29" @default.
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• W3136193831 date "2021-03-13" @default.
• W3136193831 modified "2023-09-27" @default.
• W3136193831 title "Association between air pollution and COVID-19 infection: evidence from data at national and municipal levels" @default.
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• W3136193831 doi "https://doi.org/10.1007/s11356-021-13319-5" @default.
• W3136193831 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7955798" @default.
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