异质环境下具有空间扩散的多群Seir流行病模型的全局行为

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Pengyan Liu, Hong-Xu Li
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引用次数: 2

摘要

摘要本文提出了一个具有空间扩散的多群体SEIR流行病模型,其中模型参数具有空间异质性。证明了该解的正性和最终有界性,以及关联解半流的全局吸引子的存在性。利用下一代算子的方法给出了基本复制数的定义,从而建立了基于该数的全局动力学的阈值型结果。即当基本繁殖数小于1时,无病稳态是全局渐近稳定的,当基本繁殖数大于1时,证明了该模型的一致持续性。最后,通过两组模型的数值算例验证了主要理论结果的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Behavior of a Multi–Group Seir Epidemic Model with Spatial Diffusion in a Heterogeneous Environment
Abstract In this paper, we propose a multi-group SEIR epidemic model with spatial diffusion, where the model parameters are spatially heterogeneous. The positivity and ultimate boundedness of the solution, as well as the existence of a global attractor of the associated solution semiflow, are established. The definition of the basic reproduction number is given by utilizing the next generation operator approach, whereby threshold-type results on the global dynamics in terms of this number are established. That is, when the basic reproduction number is less than one, the disease-free steady state is globally asymptotically stable, while if it is greater than one, uniform persistence of this model is proved. Finally, the feasibility of the main theoretical results is shown with the aid of numerical examples for a model with two groups.
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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