以 Black-Karasinski 过程为动机的 SEIS 随机流行病模型分析:概率密度函数

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2024-11-11 DOI:10.1016/j.chaos.2024.115713
Baoquan Zhou, Ningzhong Shi
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引用次数: 0

摘要

本文研究了以 Black-Karasinski 过程为动机的 SEIS 流行病随机模型。首先,与现有的随机建模方法相比,Black-Karasinski 过程在生物学和数学上都是一个合理的假设。通过分析模型的扩散结构和求解相关的 Kolmogorov-Fokker-Planck 方程,为显式逼近某些准正平衡点附近的静态密度函数提供了完整的描述。然后研究了确定性模型的基本繁殖数和相关渐近稳定性。最后,给出了几个数值例子来证实我们的理论发现。
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Analysis of a stochastic SEIS epidemic model motivated by Black–Karasinski process: Probability density function
This paper examines a stochastic SEIS epidemic model motivated by Black–Karasinski process. First, it is shown that Black–Karasinski process is a both biologically and mathematically reasonable assumption compared with existing stochastic modeling methods. By analyzing the diffusion structure of the model and solving the relevant Kolmogorov–Fokker–Planck equation, a complete characterization for explicitly approximating the stationary density function near some quasi-positive equilibria is provided. Then for the deterministic model, the basic reproduction number and related asymptotic stability are studied. Finally, several numerical examples are given to substantiate our theoretical findings.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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