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10.1016/j.ijid.2020.05.076 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.05.076 32502664!7266595!32502664     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Infect+Dis 2020 ; 97 (ä): 278-282 Nephropedia Template TP {{tp|p=32502664|t=2020. Air pollution and temperature are associated with increased COVID-19 incidence: A time series study |pdf=|usr=}}{{32502664}} gab.com Text Air pollution and temperature are associated with increased COVID-19 incidence: A time series study JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32502664 #FOAvip OBJECTIVES: Although COVID-19 is known to be caused by human-to-human transmission, it remains largely unclear whether ambient air pollutants and meteorological parameters could promote its transmission. METHODS: A retrospective study was conducted to study whether air quality index (AQI), four ambient air pollutants (PM(2.5), PM(10), NO(2) and CO) and five meteorological variables (daily temperature, highest temperature, lowest temperature, temperature difference and sunshine duration) could increase COVID-19 incidence in Wuhan and XiaoGan between Jan 26th to Feb 29th in 2020. RESULTS: First, a significant correlation was found between COVID-19 incidence and AQI in both Wuhan (R(2)=0.13, p<0.05) and XiaoGan (R(2)=0.223, p<0.01). Specifically, among four pollutants, COVID-19 incidence was prominently correlated with PM(2.5) and NO(2) in both cities. In Wuhan, the tightest correlation was observed between NO(2) and COVID-19 incidence (R(2)=0.329, p<0.01). In XiaoGan, in addition to the PM(2.5) (R(2)=0.117, p<0.01) and NO(2) (R(2)=0.015, p<0.05), a notable correlation was also observed between the PM(10) and COVID-19 incidence (R(2)=0.105, p<0.05). Moreover, temperature is the only meteorological parameter that constantly correlated well with COVID-19 incidence in both Wuhan and XiaoGan, but in an inverse correlation (p<0.05). CONCLUSIONS: AQI, PM(2.5), NO(2), and temperature are four variables that could promote the sustained transmission of COVID-19. Twit Text FOAVip Air pollution and temperature are associated with increased COVID-19 incidence: A time series study ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32502664 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32502664 #FOAvip English Wikipedia <ref>{{Cite pmid|32502664}}</ref> Air pollution and temperature are associated with increased COVID-19 incidence: A time series study #MMPMID32502664 Li H; Xu XL; Dai DW; Huang ZY; Ma Z; Guan YJ Int J Infect Dis 2020[Aug]; 97 (ä): 278-282 PMID32502664show ga OBJECTIVES: Although COVID-19 is known to be caused by human-to-human transmission, it remains largely unclear whether ambient air pollutants and meteorological parameters could promote its transmission. METHODS: A retrospective study was conducted to study whether air quality index (AQI), four ambient air pollutants (PM(2.5), PM(10), NO(2) and CO) and five meteorological variables (daily temperature, highest temperature, lowest temperature, temperature difference and sunshine duration) could increase COVID-19 incidence in Wuhan and XiaoGan between Jan 26th to Feb 29th in 2020. RESULTS: First, a significant correlation was found between COVID-19 incidence and AQI in both Wuhan (R(2)=0.13, p<0.05) and XiaoGan (R(2)=0.223, p<0.01). Specifically, among four pollutants, COVID-19 incidence was prominently correlated with PM(2.5) and NO(2) in both cities. In Wuhan, the tightest correlation was observed between NO(2) and COVID-19 incidence (R(2)=0.329, p<0.01). In XiaoGan, in addition to the PM(2.5) (R(2)=0.117, p<0.01) and NO(2) (R(2)=0.015, p<0.05), a notable correlation was also observed between the PM(10) and COVID-19 incidence (R(2)=0.105, p<0.05). Moreover, temperature is the only meteorological parameter that constantly correlated well with COVID-19 incidence in both Wuhan and XiaoGan, but in an inverse correlation (p<0.05). CONCLUSIONS: AQI, PM(2.5), NO(2), and temperature are four variables that could promote the sustained transmission of COVID-19. |*Temperature[MESH] |Air Pollution/*adverse effects[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Carbon Monoxide/adverse effects[MESH] |China/epidemiology[MESH] |Cities[MESH] |Coronavirus Infections/*epidemiology/transmission[MESH] |Humans[MESH] |Incidence[MESH] |Nitrogen Dioxide/adverse effects[MESH] |Pandemics[MESH] |Particulate Matter/adverse effects[MESH] |Pneumonia, Viral/*epidemiology/transmission[MESH] |Retrospective Studies[MESH]Air pollution and temperature are associated with increased COVID-19 i(epmc).pdf DeepDyve Pubget Overpricing