Dynamics of COVID-19 mathematical model with stochastic perturbation

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...

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Detalles Bibliográficos
Autores principales: Zhang, Zizhen, Zeb, Anwar, Hussain, Sultan, Alzahrani, Ebraheem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453696/
https://www.ncbi.nlm.nih.gov/pubmed/32874186
http://dx.doi.org/10.1186/s13662-020-02909-1
Descripción
Sumario: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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