Author: Boukanjime, Brahim; Caraballo, Tomas; Fatini, Mohamed El; Khalifi, Mohamed El
Title: Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching Cord-id: eigcqb1b Document date: 2020_10_16
ID: eigcqb1b
Snippet: In this paper, we analyze a stochastic coronavirus (COVID-19) epidemic model which is perturbed by both white noise and telegraph noise incorporating general incidence rate. Firstly, we investigate the existence and uniqueness of a global positive solution. Then, we establish the stochastic threshold for the extinction and the persistence of the disease. The data from Indian states, are used to confirm the results established along this paper.
Document: In this paper, we analyze a stochastic coronavirus (COVID-19) epidemic model which is perturbed by both white noise and telegraph noise incorporating general incidence rate. Firstly, we investigate the existence and uniqueness of a global positive solution. Then, we establish the stochastic threshold for the extinction and the persistence of the disease. The data from Indian states, are used to confirm the results established along this paper.
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