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10.1016/j.ecoinf.2021.101284 http://scihub22266oqcxt.onion/10.1016/j.ecoinf.2021.101284 33815029!8006517!33815029     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       Ecol+Inform 2021 ; 63 (ä): 101284 Nephropedia Template TP {{tp|p=33815029|t=2021. Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland |pdf=|usr=}}{{33815029}} gab.com Text Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland JO: Ecol Inform http://www.kidney.de/pget.php?&tw=1&pmid=33815029 #FOAvip This article focuses on a statistical analysis of the corona virus disease 2019 (COVID-19) data that appeared until November 31, 2020 in Poland. The studied database, expressed in terms of both population and air pollution (particulate) indicators, is provided mainly by the Airly company, the Central Statistical Office (GUS) and the Rogalski project. The particular measured factors, which underwent standardization, were assessed for mutual dependency by means of a Pearson correlation coefficient and analysed by a linear regression. Based on the presented models, our results indicate that air quality (air pollution level) is the most important factor in the context of enabling COVID-19 case load increase in Poland. Twit Text FOAVip Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland ????Ecol Inform http://www.kidney.de/pget.php?&tw=1&pmid=33815029 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33815029 #FOAvip English Wikipedia <ref>{{Cite pmid|33815029}}</ref> Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland #MMPMID33815029 Kowalski PA; Szwagrzyk M; Kielpinska J; Konior A; Kusy M Ecol Inform 2021[Jul]; 63 (ä): 101284 PMID33815029show ga This article focuses on a statistical analysis of the corona virus disease 2019 (COVID-19) data that appeared until November 31, 2020 in Poland. The studied database, expressed in terms of both population and air pollution (particulate) indicators, is provided mainly by the Airly company, the Central Statistical Office (GUS) and the Rogalski project. The particular measured factors, which underwent standardization, were assessed for mutual dependency by means of a Pearson correlation coefficient and analysed by a linear regression. Based on the presented models, our results indicate that air quality (air pollution level) is the most important factor in the context of enabling COVID-19 case load increase in Poland. äNumerical analysis of factors, pace and intensity of the corona virus (epmc).pdf DeepDyve Pubget Overpricing