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Tianyuan Hengyang Workshop 2020

Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data

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Pages 236-253 | Received 27 Aug 2021, Accepted 08 Mar 2022, Published online: 26 Mar 2022
 

Abstract

In this paper, we consider the dynamical behaviour of a stochastic coronavirus (COVID-19) susceptible-infected-removed epidemic model with the inclusion of the influence of information intervention and Lévy noise. The existence and uniqueness of the model positive solution are proved. Then, we establish a stochastic threshold as a sufficient condition for the extinction and persistence in mean of the disease. Based on the available COVID-19 data, the parameters of the model were estimated and we fit the model with real statistics. Finally, numerical simulations are presented to support our theoretical results.

This article is part of the following collections:
Tianyuan Hengyang Workshop 2020

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of P. R. China (Grant Nos. 11901114 and 11801073), Guangzhou Science and Technology Innovation general project (Grant No. 201904010010), Young Innovative Talents Project of Guangdong Provincial Department of Education (Grant No. 2017KQNCX081) and Natural Science Foundation of Guangdong Province (Grant No. 2017A030310598).