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10.1016/j.chaos.2021.111188 http://scihub22266oqcxt.onion/10.1016/j.chaos.2021.111188 34183873!8214201!34183873     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 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 ; 150 (ä): 111188 Nephropedia Template TP {{tp|p=34183873|t=2021. Modeling the dynamic of COVID-19 with different types of transmissions |pdf=|usr=}}{{34183873}} gab.com Text Modeling the dynamic of COVID-19 with different types of transmissions JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=34183873 #FOAvip In this paper, we propose a new epidemiological mathematical model for the spread of the COVID-19 disease with a special focus on the transmissibility of individuals with severe symptoms, mild symptoms, and asymptomatic symptoms. We compute the basic reproduction number and we study the local stability of the disease-free equilibrium in terms of the basic reproduction number. Numerical simulations were employed to illustrate our results. Furthermore, we study the present model in case we took into consideration the vaccination of a portion of susceptible individuals to predict the impact of the vaccination program. Twit Text FOAVip Modeling the dynamic of COVID-19 with different types of transmissions ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=34183873 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34183873 #FOAvip English Wikipedia <ref>{{Cite pmid|34183873}}</ref> Modeling the dynamic of COVID-19 with different types of transmissions #MMPMID34183873 Amouch M; Karim N Chaos Solitons Fractals 2021[Sep]; 150 (ä): 111188 PMID34183873show ga In this paper, we propose a new epidemiological mathematical model for the spread of the COVID-19 disease with a special focus on the transmissibility of individuals with severe symptoms, mild symptoms, and asymptomatic symptoms. We compute the basic reproduction number and we study the local stability of the disease-free equilibrium in terms of the basic reproduction number. Numerical simulations were employed to illustrate our results. Furthermore, we study the present model in case we took into consideration the vaccination of a portion of susceptible individuals to predict the impact of the vaccination program. äModeling the dynamic of COVID-19 with different types of transmissions(epmc).pdf DeepDyve Pubget Overpricing