A Stochastic Age-Structured SI Epidemics Model with Logarithmic Ornstein-Uhlenbeck Process

In this paper, a new stochastic age-structured SI epidemic model with logarithmic Ornstein-Uhlenbeck (OU) process is proposed. The study mainly focuses on the long-term behavior of solutions for the proposed stochastic system. For this, the existence and (global) asymptotic stability of the equilibria of the deterministic system without OU process are first discussed. Then the properties of extinction and asymptotic persistence of solutions for the stochastic system are investigated and the corresponding threshold conditions for them are obtained successfully. This research highlights the importance of considering randomness in the transmission of the epidemic, especially with complex disease mechanisms and random environmental factors. The findings here reveal that interestingly the reversion speed of the OU process impacts how quickly the system stabilizes, while the magnitude of random disturbances can alter the stability potentially and even cause a resurgence of an infectious disease which is expected to go extinct.

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Publication Details

Journal
East Asian Journal on Applied Mathematics
Published
2026-11-02
DOI
https://doi.org/10.4208/eajam.2026-086.110826
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

A Stochastic Age-Structured SI Epidemics Model with Logarithmic Ornstein-Uhlenbeck Process

Ping Bi, Jialiang Huang, Xianlong Fu
1 links
East Asian Journal on Applied Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

A Stochastic Age-Structured SI Epidemics Model with Logarithmic Ornstein-Uhlenbeck Process

Ping Bi, Jialiang Huang, Xianlong Fu
article en

Abstract

In this paper, a new stochastic age-structured SI epidemic model with logarithmic Ornstein-Uhlenbeck (OU) process is proposed. The study mainly focuses on the long-term behavior of solutions for the proposed stochastic system. For this, the existence and (global) asymptotic stability of the equilibria of the deterministic system without OU process are first discussed. Then the properties of extinction and asymptotic persistence of solutions for the stochastic system are investigated and the corresponding threshold conditions for them are obtained successfully. This research highlights the importance of considering randomness in the transmission of the epidemic, especially with complex disease mechanisms and random environmental factors. The findings here reveal that interestingly the reversion speed of the OU process impacts how quickly the system stabilizes, while the magnitude of random disturbances can alter the stability potentially and even cause a resurgence of an infectious disease which is expected to go extinct.

East Asian Journal on Applied Mathematics
Zhejiang Normal University (CN), East China Normal University (CN)
Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 10%
Mathematical and Theoretical Epidemiology and Ecology Models
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A Stochastic Age-Structured SI Epidemics Model with Logarithmic Ornstein-Uhlenbeck Process — Ping Bi, Jialiang Huang, et al. · East Asian Journal on Applied Mathematics (2026) | TGRS Research Map | TGRS