Acta mathematica scientia,Series A ›› 2023, Vol. 43 ›› Issue (5): 1595-1606.

Previous Articles     Next Articles

Survival Analysis of an SVIR Epidemic Model with Media Coverage

Li Dan1,Wei Fengying2,*(),Mao Xuerong3   

  1. 1School of Mathematics and Statistics, Fuzhou University, Fuzhou 350116
    2Key Laboratory of Operations Research and Control of Universities in Fujian, Fuzhou University, Fuzhou 350116
    3Department of Mathematics and Statistics, University of Strathclyde, Glasgow G1 1XH, UK
  • Received:2022-04-22 Revised:2022-10-31 Online:2023-10-26 Published:2023-08-09
  • Contact: Fengying Wei E-mail:weifengying@fzu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(61911530398);Special Projects of the Central Government Guiding Local Science, Technology Development(2021L3018);Natural Science Foundation of Fujian Province of China(2021J01621);Royal Society, UK(WM160014);Royal Society, UK (Royal Society Wolfson Research Merit Award);Royal Society and the Newton Fund, UK(NA160317);Royal Society and the Newton Fund, UK (Royal Society-Newton Advanced Fellowship);EPSRC, the Engineering and Physical Sciences Research Council(EP/K503174/1)

Abstract:

We consider the long-term properties of a stochastic SVIR epidemic model with media coverage and the logistic growth in this paper. We firstly derive the fitness of a unique global positive solution. Then we construct appropriate Lyapunov functions and obtain the existence of ergodic stationary distribution when ${R}_{0}^{s}>1$ is valid, and also derive sufficient conditions for persistence in the mean. Moreover, the exponential extinction to the density of the infected is figured out when ${R}_{0}^{e}<1$ holds.

Key words: Epidemic model, Vaccination, Media coverage, Persistence and extinction, Stationary distribution

CLC Number: 

  • O175.13
Trendmd