Stationary distribution, extinction and probability density function of a stochastic tuberculosis model with Ornstein-Uhlenbeck process

In order to investigate the impact of environmental disturbances on disease transmission, this paper established a stochastic tuberculosis model, where the infection rate satisfied the Ornstein-Uhlenbeck (OU) process. For the corresponding deterministic model, the endemic equilibrium and its stability were investigated. For the stochastic system under OU noise perturbation, we first established the existence and uniqueness of the global positive solution. Subsequently, properly constructed Lyapunov functions were used to deduce sufficient criteria to ensure the existence of stationary distribution and the eradication of the disease. When $ R_{0}^{s} > 1 $, the system has a stationary distribution, which means that the disease will persist. When $ R_{0}^{E} < 1 $, the disease becomes extinct. Furthermore, an analytical expression for the probability density in the vicinity of the endemic equilibrium was obtained by solving the five-dimensional Fokker-Planck equation. Finally, the accuracy of these theoretical conclusions was corroborated through numerical simulations.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025876
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Stationary distribution, extinction and probability density function of a stochastic tuberculosis model with Ornstein-Uhlenbeck process

Wencai Zhao, Huimei Liu
AIMS Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Stationary distribution, extinction and probability density function of a stochastic tuberculosis model with Ornstein-Uhlenbeck process

Wencai Zhao, Huimei Liu
article en

Abstract

In order to investigate the impact of environmental disturbances on disease transmission, this paper established a stochastic tuberculosis model, where the infection rate satisfied the Ornstein-Uhlenbeck (OU) process. For the corresponding deterministic model, the endemic equilibrium and its stability were investigated. For the stochastic system under OU noise perturbation, we first established the existence and uniqueness of the global positive solution. Subsequently, properly constructed Lyapunov functions were used to deduce sufficient criteria to ensure the existence of stationary distribution and the eradication of the disease. When $ R_{0}^{s} > 1 $, the system has a stationary distribution, which means that the disease will persist. When $ R_{0}^{E} < 1 $, the disease becomes extinct. Furthermore, an analytical expression for the probability density in the vicinity of the endemic equilibrium was obtained by solving the five-dimensional Fokker-Planck equation. Finally, the accuracy of these theoretical conclusions was corroborated through numerical simulations.

AIMS MathematicsVol. 10(8)
Shandong University of Science and Technology (CN)
Zero hunger
Openalex Percentile: Top 69%
Mathematical and Theoretical Epidemiology and Ecology Models
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