Analysis of a Stochastic Within-Host Model of Dengue Infection with Immune Response and Ornstein–Uhlenbeck Process

被引：0
作者：
Qun Liu
Daqing Jiang
机构：
[1] Northeast Normal University,School of Mathematics and Statistics, Key Laboratory of Applied Statistics of MOE
[2] China University of Petroleum,College of Science
来源：
Journal of Nonlinear Science | 2024年 / 34卷
关键词：
Dengue model; Immune response; Ornstein–Uhlenbeck process; Stationary distribution; Probability density; Extinction; 34E10; 60H10; 92B05; 92D30;
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摘要：
In this paper, assuming the certain variable satisfies the Ornstein–Uhlenbeck process, we formulate a stochastic within-host dengue model with immune response to obtain further understanding of the transmission dynamics of dengue fever. Then we analyze the dynamical properties of the stochastic system in detail, including the existence and uniqueness of the global solution, the existence of a stationary distribution, and the extinction of infected monocytes and free viruses. In particular, it is worth revealing that we get the specific form of covariance matrix in its probability density around the quasi-endemic equilibrium of the stochastic system. Finally, numerical illustrative examples are depicted to confirm our theoretical findings.
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