Dynamics of COVID-19 mathematical model with stochastic perturbation
Zizhen Zhang1, Anwar Zeb2, Sultan Hussain2
1School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, 233030 China.
Abstract:
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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