Dynamics of a Two-Strain Model With Vaccination, General Incidence Rate, and Nonlocal Diffusion

IF 1.8 3区 数学 Q1 MATHEMATICS, APPLIED Mathematical Methods in the Applied Sciences Pub Date : 2025-01-16 DOI:10.1002/mma.10680
Arturo J. Nic-May, Eric J. Avila-Vales
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Abstract

In this paper, we studied a two-strain model with vaccination, general incidence rate, and nonlocal diffusion. In this model, it is considered that those vaccinated can become infected with either strain and that those removed individuals with respect to strain 1 can become infected with strain 2 (partial cross-immunity). We prove that solution exists and is unique, bounded, and positive, and there exists a disease-free steady state. The basic reproduction number 0 $$ {\mathcal{R}}_0 $$ is defined, and the existence of principal eigenvalue is studied. For 0 < 1 $$ {\mathcal{R}}_0&lt;1 $$ , we prove the disease-free steady state is globally asymptotically stable, and when 0 > 1 $$ {\mathcal{R}}_0&gt;1 $$ , the disease-free steady state is unstable. We also prove the uniform persistence of the system. Four steady states were obtained, and it was shown that the existence of each of the steady state depends on 4 threshold quantities and we used a Lyapunov approach to prove the global stability of the steady state under certain assumptions. The results are confirmed using some graphical representations.

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具有疫苗接种、一般发病率和非局部扩散的两株模型动力学
在本文中,我们研究了一个具有疫苗接种、一般发病率和非局部扩散的双毒株模型。在该模型中,我们认为接种疫苗的人可以感染其中任何一种毒株,而被去除毒株 1 的个体可以感染毒株 2(部分交叉免疫)。我们证明,解是存在的,而且是唯一的、有界的、正解,并且存在无病稳态。定义了基本繁殖数 ℛ 0 $$ {\mathcal{R}}_0 $$,并研究了主特征值的存在。当 ℛ 0 < 1 $$ {\mathcal{R}}_0&lt;1 $$ 时,我们证明无病稳态是全局渐近稳定的;当 ℛ 0 > 1 $$ {\mathcal{R}}_0&gt;1 $$ 时,无病稳态是不稳定的。我们还证明了系统的均匀持久性。我们得到了四种稳态,并证明了每种稳态的存在都取决于 4 个阈值量,而且我们用李亚普诺夫方法证明了在某些假设条件下稳态的全局稳定性。我们利用一些图形表示法证实了这些结果。
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来源期刊
CiteScore
4.90
自引率
6.90%
发文量
798
审稿时长
6 months
期刊介绍: Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome. Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted. Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.
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