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10.1186/s13662-021-03396-8 http://scihub22266oqcxt.onion/10.1186/s13662-021-03396-8 33968144!8087893!33968144     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Adv+Differ+Equ 2021 ; 2021 (1): 228 Nephropedia Template TP {{tp|p=33968144|t=2021. Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion |pdf=|usr=}}{{33968144}} gab.com Text Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion JO: Adv Differ Equ http://www.kidney.de/pget.php?&tw=1&pmid=33968144 #FOAvip For a stochastic COVID-19 model with jump-diffusion, we prove the existence and uniqueness of the global positive solution. We also investigate some conditions for the extinction and persistence of the disease. We calculate the threshold of the stochastic epidemic system which determines the extinction or permanence of the disease at different intensities of the stochastic noises. This threshold is denoted by xi which depends on white and jump noises. The effects of these noises on the dynamics of the model are studied. The numerical experiments show that the random perturbation introduced in the stochastic model suppresses disease outbreak as compared to its deterministic counterpart. In other words, the impact of the noises on the extinction and persistence is high. When the noise is large or small, our numerical findings show that COVID-19 vanishes from the population if xi < 1 ; whereas the epidemic cannot go out of control if xi > 1 . From this, we observe that white noise and jump noise have a significant effect on the spread of COVID-19 infection, i.e., we can conclude that the stochastic model is more realistic than the deterministic one. Finally, to illustrate this phenomenon, we put some numerical simulations. Twit Text FOAVip Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion ????Adv Differ Equ http://www.kidney.de/pget.php?&tw=1&pmid=33968144 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33968144 #FOAvip English Wikipedia <ref>{{Cite pmid|33968144}}</ref> Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion #MMPMID33968144 Tesfay A; Saeed T; Zeb A; Tesfay D; Khalaf A; Brannan J Adv Differ Equ 2021[]; 2021 (1): 228 PMID33968144show ga For a stochastic COVID-19 model with jump-diffusion, we prove the existence and uniqueness of the global positive solution. We also investigate some conditions for the extinction and persistence of the disease. We calculate the threshold of the stochastic epidemic system which determines the extinction or permanence of the disease at different intensities of the stochastic noises. This threshold is denoted by xi which depends on white and jump noises. The effects of these noises on the dynamics of the model are studied. The numerical experiments show that the random perturbation introduced in the stochastic model suppresses disease outbreak as compared to its deterministic counterpart. In other words, the impact of the noises on the extinction and persistence is high. When the noise is large or small, our numerical findings show that COVID-19 vanishes from the population if xi < 1 ; whereas the epidemic cannot go out of control if xi > 1 . From this, we observe that white noise and jump noise have a significant effect on the spread of COVID-19 infection, i.e., we can conclude that the stochastic model is more realistic than the deterministic one. Finally, to illustrate this phenomenon, we put some numerical simulations. äDynamics of a stochastic COVID-19 epidemic model with jump-diffusion (epmc).pdf DeepDyve Pubget Overpricing