The Reaction–Diffusion Stochastic Susceptible‐Infected‐Vaccinated Epidemic Model With Nonlocal Delay

ABSTRACT In this paper, a stochastic reaction–diffusion susceptible‐infected‐vaccinated (SIV) epidemic model with nonlocal delay is proposed. Using the Banach fixed point theorem combined with a truncation method, we establish the existence and uniqueness of positive mild solutions. The long‐term behavior of the system is characterized by a real‐valued parameter . Specifically, if , the disease will become extinct; if , the system has an invariant probability measure. Furthermore, the mean square exponential stability was proved by using the Gronwall inequality, and the critical delay that guarantees the stability of the mild solution was derived. Finally, numerical examples are given to illustrate the theoretical results.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-11-10
DOI
https://doi.org/10.1002/mma.70314
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

The Reaction–Diffusion Stochastic Susceptible‐Infected‐Vaccinated Epidemic Model With Nonlocal Delay

Hui Meng, Yanyan Du, Wang Zong
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
article

The Reaction–Diffusion Stochastic Susceptible‐Infected‐Vaccinated Epidemic Model With Nonlocal Delay

Hui Meng, Yanyan Du, Wang Zong
article en

Abstract

ABSTRACT In this paper, a stochastic reaction–diffusion susceptible‐infected‐vaccinated (SIV) epidemic model with nonlocal delay is proposed. Using the Banach fixed point theorem combined with a truncation method, we establish the existence and uniqueness of positive mild solutions. The long‐term behavior of the system is characterized by a real‐valued parameter . Specifically, if , the disease will become extinct; if , the system has an invariant probability measure. Furthermore, the mean square exponential stability was proved by using the Gronwall inequality, and the critical delay that guarantees the stability of the mild solution was derived. Finally, numerical examples are given to illustrate the theoretical results.

Mathematical Methods in the Applied SciencesVol. 49(5)
Linzi District People's Hospital (CN), Qingdao University of Technology (CN)
Openalex Percentile: Top 56%
Mathematical and Theoretical Epidemiology and Ecology Models
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