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10.1016/j.scitotenv.2020.138704 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.138704 32315904!7159846!32315904     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 727 (ä): 138704 Nephropedia Template TP {{tp|p=32315904|t=2020. Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China |pdf=|usr=}}{{32315904}} gab.com Text Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32315904 #FOAvip The novel coronavirus pneumonia, namely COVID-19, has become a global public health problem. Previous studies have found that air pollution is a risk factor for respiratory infection by carrying microorganisms and affecting body's immunity. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. We applied a generalized additive model to investigate the associations of six air pollutants (PM(2.5), PM(10), SO(2), CO, NO(2) and O(3)) with COVID-19 confirmed cases. We observed significantly positive associations of PM(2.5), PM(10), NO(2) and O(3) in the last two weeks with newly COVID-19 confirmed cases. A 10-mug/m(3) increase (lag0-14) in PM(2.5), PM(10), NO(2), and O(3) was associated with a 2.24% (95% CI: 1.02 to 3.46), 1.76% (95% CI: 0.89 to 2.63), 6.94% (95% CI: 2.38 to 11.51), and 4.76% (95% CI: 1.99 to 7.52) increase in the daily counts of confirmed cases, respectively. However, a 10-mug/m(3) increase (lag0-14) in SO(2) was associated with a 7.79% decrease (95% CI: -14.57 to -1.01) in COVID-19 confirmed cases. Our results indicate that there is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease. Twit Text FOAVip Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32315904 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32315904 #FOAvip English Wikipedia <ref>{{Cite pmid|32315904}}</ref> Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China #MMPMID32315904 Zhu Y; Xie J; Huang F; Cao L Sci Total Environ 2020[Jul]; 727 (ä): 138704 PMID32315904show ga The novel coronavirus pneumonia, namely COVID-19, has become a global public health problem. Previous studies have found that air pollution is a risk factor for respiratory infection by carrying microorganisms and affecting body's immunity. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. We applied a generalized additive model to investigate the associations of six air pollutants (PM(2.5), PM(10), SO(2), CO, NO(2) and O(3)) with COVID-19 confirmed cases. We observed significantly positive associations of PM(2.5), PM(10), NO(2) and O(3) in the last two weeks with newly COVID-19 confirmed cases. A 10-mug/m(3) increase (lag0-14) in PM(2.5), PM(10), NO(2), and O(3) was associated with a 2.24% (95% CI: 1.02 to 3.46), 1.76% (95% CI: 0.89 to 2.63), 6.94% (95% CI: 2.38 to 11.51), and 4.76% (95% CI: 1.99 to 7.52) increase in the daily counts of confirmed cases, respectively. However, a 10-mug/m(3) increase (lag0-14) in SO(2) was associated with a 7.79% decrease (95% CI: -14.57 to -1.01) in COVID-19 confirmed cases. Our results indicate that there is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease. |*Air Pollution[MESH] |*Betacoronavirus[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Air Pollutants[MESH] |COVID-19[MESH] |China[MESH] |Cities[MESH] |Environmental Exposure[MESH] |Humans[MESH] |Particulate Matter[MESH]Association between short-term exposure to air pollution and COVID-19 (epmc).pdf DeepDyve Pubget Overpricing