Acknowledging many effects on humans, which are ignored in deterministic models for COVID-19, in this paper, we consider stochastic mathematical model for COVID-19. Firstly, the formulation of a stochastic susceptible-infected-recovered model is presented. Secondly, we devote with full strength our concentrated attention to sufficient conditions for extinction and persistence. Thirdly, we examine the threshold of the proposed stochastic COVID-19 model, when noise is small or large. Finally, we show the numerical simulations graphically using MATLAB.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453696 | PMC |
| http://dx.doi.org/10.1186/s13662-020-02909-1 | DOI Listing |
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