Dynamics analysis and numerical simulations of a stochastic delayed epidemic model with double disease driven by Lévy noise

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Authors: Xueqing Li, Yingjia Guo
Cited by: 1
References: 18

Abstract

This paper investigates a stochastic delayed $SI_{1}I_{2}$ epidemic model with double epidemic and saturated incidence rate driven by Lévy noise. First, we used the stopping time theory to establish sufficient conditions for the existence of a unique positive solution. Furthermore, by the Lyapunov method and stochastic differential equation theory, we analyze the asymptotic properties of the stochastic delayed system around each equilibrium point. In addition, we show that both Lévy noise and time delay can affect the dynamics of the epidemic system. Finally, we use the Euler–Maruyama method to discretize the equations and perform numerical simulations to illustrate thetheoretical results.

Fields of Study & Subjects

Mathematical and Theoretical Epidemiology and Ecology Models COVID-19 epidemiological studies stochastic dynamics and bifurcation

Publication details

Journal / source
AIMS Mathematics
Publisher
American Institute of Mathematical Sciences (AIMS)
Volume
11
Issue
1
Pages
3038–3095
Publication date
1 January 2026