具有阶段结构和非线性发病率的离散扩散流行病模型的行波解

IF 1.2 3区 数学 Q1 MATHEMATICS
Peng Yang
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引用次数: 0

摘要

为了理解传染病的地理传播,经典的流行病模型应该考虑空间效应。与连续扩散版本相比,离散扩散版本将更加真实和有意义。据我们所知,关于离散扩散流行病模型的研究并不多,因此,本文研究了一个包含阶段结构和非线性发病率的离散扩散流行病模型的行波解的存在性、不存在性和渐近性。具体地说,我们首先得到了基本的再生产数。得到了临界波速决定行波解是否存在的结论。同时,通过建立适当的Lyapunov泛函并应用Lebesgue主导收敛定理,得到了行波解的边界渐近性质。最后,我们将这些结果应用于两个例子(即离散扩散阶段流行病模型)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traveling wave solutions in a discrete diffusive epidemic model with stage structure and nonlinear incidence rate
In order to understand the geographical spread of infectious diseases, classical epidemic models should consider spatial effects. Compared to the continuous diffusion version, the discrete diffusive version will be more realistic and meaningful. To our knowledge, there are not many studies on discrete diffusive epidemic models, therefore, this article investigates the existence, nonexistence, and asymptotic behavior of traveling wave solutions for a discrete diffusive epidemic model incorporating stage structure and a nonlinear incidence rate. Concretely, to begin with, we obtain the basic reproduction number. And then, we get that the critical wave speed determines the existence and nonexistence of traveling wave solutions. Meanwhile, by establishing an appropriate Lyapunov functional and applying Lebesgue dominated convergence theorem, we derive the boundary asymptotic behavior of traveling wave solutions. Ultimately, we employ these results to two examples (i.e. discrete diffusion stage epidemic models).
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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