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10.1016/j.chaos.2020.110256 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110256 32905156!7466947!32905156     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32905156.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Chaos+Solitons+Fractals 2020 ; 139 (ä): 110256 Nephropedia Template TP {{tp|p=32905156|t=2020. Fractional order mathematical modeling of COVID-19 transmission |pdf=|usr=}}{{32905156}} gab.com Text Fractional order mathematical modeling of COVID-19 transmission JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32905156 #FOAvip In this article, the mathematical model with different compartments for the transmission dynamics of coronavirus-19 disease (COVID-19) is presented under the fractional-order derivative. Some results regarding the existence of at least one solution through fixed point results are derived. Then for the concerned approximate solution, the modified Euler method for fractional-order differential equations (FODEs) is utilized. Initially, we simulate the results by using some available data for different fractional-order to show the appropriateness of the proposed method. Further, we compare our results with some reported real data against confirmed infected and death cases per day for the initial 67 days in Wuhan city. Twit Text FOAVip Fractional order mathematical modeling of COVID-19 transmission ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32905156 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32905156 #FOAvip English Wikipedia <ref>{{Cite pmid|32905156}}</ref> Fractional order mathematical modeling of COVID-19 transmission #MMPMID32905156 Ahmad S; Ullah A; Al-Mdallal QM; Khan H; Shah K; Khan A Chaos Solitons Fractals 2020[Oct]; 139 (ä): 110256 PMID32905156show ga In this article, the mathematical model with different compartments for the transmission dynamics of coronavirus-19 disease (COVID-19) is presented under the fractional-order derivative. Some results regarding the existence of at least one solution through fixed point results are derived. Then for the concerned approximate solution, the modified Euler method for fractional-order differential equations (FODEs) is utilized. Initially, we simulate the results by using some available data for different fractional-order to show the appropriateness of the proposed method. Further, we compare our results with some reported real data against confirmed infected and death cases per day for the initial 67 days in Wuhan city. äFractional order mathematical modeling of COVID-19 transmission (epmc).pdf DeepDyve Pubget Overpricing