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10.1016/j.heliyon.2021.e06979 http://scihub22266oqcxt.onion/10.1016/j.heliyon.2021.e06979 33969235!8098045!33969235     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Heliyon 2021 ; 7 (5): e06979 Nephropedia Template TP {{tp|p=33969235|t=2021. Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces |pdf=|usr=}}{{33969235}} gab.com Text Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces JO: Heliyon http://www.kidney.de/pget.php?&tw=1&pmid=33969235 #FOAvip The main goal of this article is to demonstrate the impact of environmental and socio-economic factors on the spreading of COVID-19. In this research, data has been collected from 70 cities/provinces of different countries around the world that are affected by COVID-19. In this research, environmental data such as temperatures, humidity, air quality and population density and socio-economic data such as GDP (PPP) per capita, per capita health expenditure, life expectancy and total test in each of these cities/provinces are considered. This data has been analyzed using statistical models such as Poisson and negative binomial models. It is found that a negative binomial regression model is the best fit for our data. Our results reveal higher population density to be an important factor for the quick spread of COVID-19 as maintenance of social distancing requirements are more difficult in urban areas. Moreover, GDP (PPP) and PM(2.5) are linked with fewer cases of COVID-19 whereas PM(10), and total number of tests are strongly associated with the increase of COVID-19 case counts. Twit Text FOAVip Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces ????Heliyon http://www.kidney.de/pget.php?&tw=1&pmid=33969235 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33969235 #FOAvip English Wikipedia <ref>{{Cite pmid|33969235}}</ref> Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces #MMPMID33969235 Ahmed J; Jaman MH; Saha G; Ghosh P Heliyon 2021[May]; 7 (5): e06979 PMID33969235show ga The main goal of this article is to demonstrate the impact of environmental and socio-economic factors on the spreading of COVID-19. In this research, data has been collected from 70 cities/provinces of different countries around the world that are affected by COVID-19. In this research, environmental data such as temperatures, humidity, air quality and population density and socio-economic data such as GDP (PPP) per capita, per capita health expenditure, life expectancy and total test in each of these cities/provinces are considered. This data has been analyzed using statistical models such as Poisson and negative binomial models. It is found that a negative binomial regression model is the best fit for our data. Our results reveal higher population density to be an important factor for the quick spread of COVID-19 as maintenance of social distancing requirements are more difficult in urban areas. Moreover, GDP (PPP) and PM(2.5) are linked with fewer cases of COVID-19 whereas PM(10), and total number of tests are strongly associated with the increase of COVID-19 case counts. äEffect of environmental and socio-economic factors on the spreading of(epmc).pdf DeepDyve Pubget Overpricing