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10.1007/s11071-020-05961-4 http://scihub22266oqcxt.onion/10.1007/s11071-020-05961-4 33012987!7525081!33012987     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 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       Nonlinear+Dyn 2021 ; 106 (2): 1133-1147 Nephropedia Template TP {{tp|p=33012987|t=2021. Control of a multigroup COVID-19 model with immunity: treatment and test elimination |pdf=|usr=}}{{33012987}} gab.com Text Control of a multigroup COVID-19 model with immunity: treatment and test elimination JO: Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=33012987 #FOAvip This paper introduces a multigroup COVID-19 model with immunity, in which the total population of each group is partitioned into five compartments, that is, susceptible, exposed, infective, infective in treatment and recovered compartment. If the basic reproduction number is less than or equal to one, and the infection graph is strongly connected, then the disease-free equilibrium is globally asymptotically stable and the disease dies out. However, the COVID-19 is already in a pandemic state, and the basic reproduction number is large than one. Hence, in order to make the COVID-19 die out in some groups in an area, we design some appropriate control strategies which reduce the number of exposed people and increase the number of people treated. These two methods have been proved to be the most effective methods at present. An effective algorithm is proposed to identify the groups that need to be controlled. Finally, we use the actual limited data of Hubei, Guangdong and Zhejiang provinces in China to illustrate the effectiveness of the obtained results. Twit Text FOAVip Control of a multigroup COVID-19 model with immunity: treatment and test elimination ????Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=33012987 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33012987 #FOAvip English Wikipedia <ref>{{Cite pmid|33012987}}</ref> Control of a multigroup COVID-19 model with immunity: treatment and test elimination #MMPMID33012987 Zhai S; Gao H; Luo G; Tao J Nonlinear Dyn 2021[]; 106 (2): 1133-1147 PMID33012987show ga This paper introduces a multigroup COVID-19 model with immunity, in which the total population of each group is partitioned into five compartments, that is, susceptible, exposed, infective, infective in treatment and recovered compartment. If the basic reproduction number is less than or equal to one, and the infection graph is strongly connected, then the disease-free equilibrium is globally asymptotically stable and the disease dies out. However, the COVID-19 is already in a pandemic state, and the basic reproduction number is large than one. Hence, in order to make the COVID-19 die out in some groups in an area, we design some appropriate control strategies which reduce the number of exposed people and increase the number of people treated. These two methods have been proved to be the most effective methods at present. An effective algorithm is proposed to identify the groups that need to be controlled. Finally, we use the actual limited data of Hubei, Guangdong and Zhejiang provinces in China to illustrate the effectiveness of the obtained results. äControl of a multigroup COVID-19 model with immunity: treatment and te(epmc).pdf DeepDyve Pubget Overpricing