Virus infection model under nonlinear perturbation: Ergodic stationary distribution and extinction

In order to study the effect of nonlinear perturbation on virus infection of target cells, in this paper, we propose a stochastic virus infection model with multitarget cells and exposed state. Firstly, by constructing novel stochastic Lyapunov functions, we theoretically prove that the solution of the stochastic model is positive and global. Secondly, we obtain the existence and uniqueness of an ergodic stationary distribution of the stochastic system and the exact expression of probability density function around a quasi-endemic equilibrium if R-s > 1, and we establish a sufficient condition R-e < 1 for the extinction of infected cells and virus. Finally, we present examples and numerical simulations to verify our theoretical results. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

Automated summary

In this paper, we propose a stochastic virus infection model with multitarget cells and exposed state, and theoretically prove the positivity and globality of the solution. We also obtain the existence and uniqueness of the ergodic stationary distribution of the stochastic system, as well as the exact expression of the probability density function around the quasi-endemic equilibrium.