Asymptotic analysis of a stochastic SVEIS epidemic model using Black-Karasinski process

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Hauptverfasser: Khammich, Lahcen, Kiouach, Driss
Format: Preprint
Veröffentlicht: 2025
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author Khammich, Lahcen
Kiouach, Driss
author_facet Khammich, Lahcen
Kiouach, Driss
contents In this paper, we present a stochastic SVEIS epidemic model perturbed by a Black-Karasinski process. Using a Lyapunov functional approach, we derive a sufficient condition, Rs0>1 for the existence of a stationary distribution, which indicates disease persistence. Additionally, we theoretically demonstrate that the disease will die out at an exponential rate if Re0<1 . Our results show that random fluctuations will facilitate disease outbreak.
format Preprint
id arxiv_https___arxiv_org_abs_2511_02882
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic analysis of a stochastic SVEIS epidemic model using Black-Karasinski process
Khammich, Lahcen
Kiouach, Driss
Probability
Populations and Evolution
In this paper, we present a stochastic SVEIS epidemic model perturbed by a Black-Karasinski process. Using a Lyapunov functional approach, we derive a sufficient condition, Rs0>1 for the existence of a stationary distribution, which indicates disease persistence. Additionally, we theoretically demonstrate that the disease will die out at an exponential rate if Re0<1 . Our results show that random fluctuations will facilitate disease outbreak.
title Asymptotic analysis of a stochastic SVEIS epidemic model using Black-Karasinski process
topic Probability
Populations and Evolution
url https://arxiv.org/abs/2511.02882