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10.1016/j.chaos.2021.111030 http://scihub22266oqcxt.onion/10.1016/j.chaos.2021.111030 34002105!8114791!34002105     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 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2021 ; 148 (ä): 111030 Nephropedia Template TP {{tp|p=34002105|t=2021. A fractional order Covid-19 epidemic model with Mittag-Leffler kernel |pdf=|usr=}}{{34002105}} gab.com Text A fractional order Covid-19 epidemic model with Mittag-Leffler kernel JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=34002105 #FOAvip In this article, we are studying fractional-order COVID-19 model for the analytical and computational aspects. The model consists of five compartments including; ;;Sc'' which denotes susceptible class, ;;Ec'' represents exposed population, ;;Ic'' is the class for infected people who have been developed with COVID-19 and can cause spread in the population. The recovered class is denoted by ;;Rc'' and ;;Vc'' is the concentration of COVID-19 virus in the area. The computational study shows us that the spread will be continued for long time and the recovery reduces the infection rate. The numerical scheme is based on the Lagrange's interpolation polynomial and the numerical results for the suggested model are similar to the integer order which gives us the applicability of the numerical scheme and effectiveness of the fractional order derivative. Twit Text FOAVip A fractional order Covid-19 epidemic model with Mittag-Leffler kernel ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=34002105 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34002105 #FOAvip English Wikipedia <ref>{{Cite pmid|34002105}}</ref> A fractional order Covid-19 epidemic model with Mittag-Leffler kernel #MMPMID34002105 Khan H; Ibrahim M; Abdel-Aty AH; Khashan MM; Khan FA; Khan A Chaos Solitons Fractals 2021[Jul]; 148 (ä): 111030 PMID34002105show ga In this article, we are studying fractional-order COVID-19 model for the analytical and computational aspects. The model consists of five compartments including; ;;Sc'' which denotes susceptible class, ;;Ec'' represents exposed population, ;;Ic'' is the class for infected people who have been developed with COVID-19 and can cause spread in the population. The recovered class is denoted by ;;Rc'' and ;;Vc'' is the concentration of COVID-19 virus in the area. The computational study shows us that the spread will be continued for long time and the recovery reduces the infection rate. The numerical scheme is based on the Lagrange's interpolation polynomial and the numerical results for the suggested model are similar to the integer order which gives us the applicability of the numerical scheme and effectiveness of the fractional order derivative. äA fractional order Covid-19 epidemic model with Mittag-Leffler kernel (epmc).pdf DeepDyve Pubget Overpricing