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10.1016/j.scitotenv.2020.141028 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.141028 32711328!7365069!32711328     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 744 (ä): 141028 Nephropedia Template TP {{tp|p=32711328|t=2020. 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 |pdf=|usr=}}{{32711328}} gab.com Text 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 JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32711328 #FOAvip 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. Twit Text FOAVip 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 ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32711328 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32711328 #FOAvip English Wikipedia <ref>{{Cite pmid|32711328}}</ref> 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 #MMPMID32711328 Copiello S; Grillenzoni C Sci Total Environ 2020[Nov]; 744 (ä): 141028 PMID32711328show ga 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. |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Air Pollutants/*analysis[MESH] |Air Pollution/*analysis[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China[MESH] |Humans[MESH] |Population Density[MESH]The spread of 2019-nCoV in China was primarily driven by population de(epmc).pdf DeepDyve Pubget Overpricing