文章基本信息

标题：Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data
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作者：Peijiang Liu ; Lifang Huang ; Anwarud Din 等
期刊名称：Journal of Biological Dynamics
印刷版ISSN：1751-3758
电子版ISSN：1751-3766
出版年度：2022
卷号：16
期号：1
页码：236-253
DOI：10.1080/17513758.2022.2055172
语种：English
出版社：Taylor & Francis
摘要：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.