Ergodicity of a stationary distribution for a stochastic cholera model with a general functional response and higher-order perturbation

A general stochastic compartment model for cholera with higher-order perturbation is proposed, which incorporates direct and indirect transmission by contaminated water. Nonlinear incidence, multiple stages of infection, multiple states of pathogen, and second-order white-noises perturbation are introduced into the model, which includes and extends the existing cholera model. The existence and ergodicity of the stationary distribution for the cholera system are obtained by constructing a suitable Lyapunov function, which determines a sharp critical value $R_{0}^{s}$ corresponding to the basic productive number $R_{0}$ of the ordinary differential equation. The results show that, if $R_{0}^{s}>1$ , the system has a unique and ergodic stationary distribution, which implies the persistence of the diseases. Our general results are applied to a cholera system with a Holling type-II functional response.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2024-12-16
DOI
https://doi.org/10.1186/s13662-024-03822-7
Citations
3
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.63

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article

Ergodicity of a stationary distribution for a stochastic cholera model with a general functional response and higher-order perturbation

Wenjie Zuo, Na Zhao, Daqing Jiang, Beibei Liao et al.
3 citations
Advances in Continuous and Discrete Models
Mathematical and Theoretical Epidemiology and Ecology Models
1.63
article

Ergodicity of a stationary distribution for a stochastic cholera model with a general functional response and higher-order perturbation

Wenjie Zuo, Na Zhao, Daqing Jiang, Beibei Liao, Junyan Ge
article en
3 citations

Abstract

A general stochastic compartment model for cholera with higher-order perturbation is proposed, which incorporates direct and indirect transmission by contaminated water. Nonlinear incidence, multiple stages of infection, multiple states of pathogen, and second-order white-noises perturbation are introduced into the model, which includes and extends the existing cholera model. The existence and ergodicity of the stationary distribution for the cholera system are obtained by constructing a suitable Lyapunov function, which determines a sharp critical value $R_{0}^{s}$ corresponding to the basic productive number $R_{0}$ of the ordinary differential equation. The results show that, if $R_{0}^{s}>1$ , the system has a unique and ergodic stationary distribution, which implies the persistence of the diseases. Our general results are applied to a cholera system with a Holling type-II functional response.

Advances in Continuous and Discrete ModelsVol. 2024(1)
Qingdao Center of Resource Chemistry and New Materials (CN), China University of Petroleum, East China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 14%
Mathematical and Theoretical Epidemiology and Ecology Models
1.63
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