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10.1017/ice.2020.222 http://scihub22266oqcxt.onion/10.1017/ice.2020.222 32389157!7298083!32389157     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Infect+Control+Hosp+Epidemiol 2020 ; 41 (9): 1011-1015 Nephropedia Template TP {{tp|p=32389157|t=2020. Effect of ambient air pollutants and meteorological variables on COVID-19 incidence |pdf=|usr=}}{{32389157}} gab.com Text Effect of ambient air pollutants and meteorological variables on COVID-19 incidence JO: Infect Control Hosp Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32389157 #FOAvip OBJECTIVE: To determine whether ambient air pollutants and meteorological variables are associated with daily COVID-19 incidence. DESIGN: A retrospective cohort from January 25 to February 29, 2020. SETTING: Cities of Wuhan, Xiaogan, and Huanggang, China. PATIENTS: The COVID-19 cases detected each day. METHODS: We collected daily data of COVID-19 incidence, 8 ambient air pollutants (particulate matter of </=2.5 microm [PM2.5], particulate matter </=10 microm [PM10], sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and maximum 8-h moving average concentrations for ozone [O3-8h]) and 3 meteorological variables (temperature, relative humidity, and wind) in China's 3 worst COVID-19-stricken cities during the study period. The multivariate Poisson regression was performed to understand their correlation. RESULTS: Daily COVID-19 incidence was positively associated with PM2.5 and humidity in all cities. Specifically, the relative risk (RR) of PM2.5 for daily COVID-19 incidences were 1.036 (95% confidence interval [CI], 1.032-1.039) in Wuhan, 1.059 (95% CI, 1.046-1.072) in Xiaogan, and 1.144 (95% CI, 1.12-1.169) in Huanggang. The RR of humidity for daily COVID-19 incidence was consistently lower than that of PM2.5, and this difference ranged from 0.027 to 0.111. Moreover, PM10 and temperature also exhibited a notable correlation with daily COVID-19 incidence, but in a negative pattern The RR of PM10 for daily COVID-19 incidence ranged from 0.915 (95% CI, 0.896-0.934) to 0.961 (95% CI, 0.95-0.972, while that of temperature ranged from 0.738 (95% CI, 0.717-0.759) to 0.969 (95% CI, 0.966-0.973). CONCLUSIONS: Our data show that PM2.5 and humidity are substantially associated with an increased risk of COVID-19 and that PM10 and temperature are substantially associated with a decreased risk of COVID-19. Twit Text FOAVip Effect of ambient air pollutants and meteorological variables on COVID-19 incidence ????Infect Control Hosp Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32389157 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32389157 #FOAvip English Wikipedia <ref>{{Cite pmid|32389157}}</ref> Effect of ambient air pollutants and meteorological variables on COVID-19 incidence #MMPMID32389157 Jiang Y; Wu XJ; Guan YJ Infect Control Hosp Epidemiol 2020[Sep]; 41 (9): 1011-1015 PMID32389157show ga OBJECTIVE: To determine whether ambient air pollutants and meteorological variables are associated with daily COVID-19 incidence. DESIGN: A retrospective cohort from January 25 to February 29, 2020. SETTING: Cities of Wuhan, Xiaogan, and Huanggang, China. PATIENTS: The COVID-19 cases detected each day. METHODS: We collected daily data of COVID-19 incidence, 8 ambient air pollutants (particulate matter of |*Betacoronavirus[MESH] |*Weather[MESH] |Air Pollutants/analysis/*toxicity[MESH] |Air Pollution/*adverse effects/analysis/statistics & numerical data[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology/etiology[MESH] |Humans[MESH] |Incidence[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/etiology[MESH] |Poisson Distribution[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]Effect of ambient air pollutants and meteorological variables on COVID(epmc).pdf DeepDyve Pubget Overpricing