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  • 标题:Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data
  • 本地全文:下载
  • 作者:Peijiang Liu ; Lifang Huang ; Anwarud Din
  • 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.
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