Dynamics of a stochastic HBV infection model with cell-to-cell transmission and immune response

• Published in: Mathematical biosciences and engineering : MBE Vol. 18; no. 1; pp. 616 - 642
• Main Authors: Wang, Xiaoqin, Tan, Yiping, Cai, Yongli, Wang, Kaifa, Wang, Weiming
• Format: Journal Article
• Language: English
• Published: United States AIMS Press 2021
• Subjects: asymptotic behavior; cell-to-cell transmission; hbv infection model; immune response; asymptotic behavior; HBV infection model; cell-to-cell transmission; immune response
• ISSN: 1551-0018; 1551-0018
• DOI: 10.3934/mbe.2021034

In this paper, considering the proven role of exosomes and the inevitable randomization within-host, we establish a hepatitis B virus (HBV) model with cell-to-cell transmission and CTL immune response from a deterministic framework to a stochastic differential equation (SDE). By introducing the reproduction number $ R_0 $, we prove that $ R_0 $ can be used to govern the stochastic dynamics of the SDE HBV model. Under certain assumptions, if $ R_{0}\leq1 $, the solution of the SDE model always fluctuates around the infection-free equilibrium of the deterministic model, which indicates that the HBV will eventually disappear almost surely; if $ R_{0} > 1 $, under extra conditions, the solution of the SDE model fluctuates around endemic equilibrium of the corresponding deterministic model, which leads to the stochastic persistence of the HBV with probability one. One of the most interesting findings is that the fluctuation amplitude is positively related to the intensity of the white noise, which can provide us some useful control strategies to regulate HBV infection dynamics.