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10.1063/5.0021108 http://scihub22266oqcxt.onion/10.1063/5.0021108 34251226!ä!34251226 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 2021 ; 31 (4): 043132 Nephropedia Template TP {{tp|p=34251226|t=2021. Stochastic analysis of COVID-19 by a SEIR model with Levy noise |pdf=|usr=}}{{34251226}} gab.com Text Stochastic analysis of COVID-19 by a SEIR model with Levy noise JO: Chaos http://www.kidney.de/pget.php?&tw=1&pmid=34251226 #FOAvip We propose a Levy noise-driven susceptible-exposed-infected-recovered model incorporating media coverage to analyze the outbreak of COVID-19. We conduct a theoretical analysis of the stochastic model by the suitable Lyapunov function, including the existence and uniqueness of the positive solution, the dynamic properties around the disease-free equilibrium and the endemic equilibrium; we deduce a stochastic basic reproduction number R(0) (s) for the extinction of disease, that is, if R(0) (s)</=1, the disease will go to extinction. Particularly, we fit the data from Brazil to predict the trend of the epidemic. Our main findings include the following: (i) stochastic perturbation may affect the dynamic behavior of the disease, and larger noise will be more beneficial to control its spread; (ii) strengthening social isolation, increasing the cure rate and media coverage can effectively control the spread of disease. Our results support the feasible ways of containing the outbreak of the epidemic. Twit Text FOAVip Stochastic analysis of COVID-19 by a SEIR model with Levy noise ????Chaos http://www.kidney.de/pget.php?&tw=1&pmid=34251226 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34251226 #FOAvip English Wikipedia <ref>{{Cite pmid|34251226}}</ref> Stochastic analysis of COVID-19 by a SEIR model with Levy noise #MMPMID34251226 Ding Y; Fu Y; Kang Y Chaos 2021[Apr]; 31 (4): 043132 PMID34251226show ga We propose a Levy noise-driven susceptible-exposed-infected-recovered model incorporating media coverage to analyze the outbreak of COVID-19. We conduct a theoretical analysis of the stochastic model by the suitable Lyapunov function, including the existence and uniqueness of the positive solution, the dynamic properties around the disease-free equilibrium and the endemic equilibrium; we deduce a stochastic basic reproduction number R(0) (s) for the extinction of disease, that is, if R(0) (s) |*COVID-19[MESH] |*Epidemics[MESH] |Basic Reproduction Number[MESH] |Disease Outbreaks[MESH] |Humans[MESH]Stochastic analysis of COVID-19 by a SEIR model with Levy noise (epmc).pdf DeepDyve Pubget Overpricing