{"title":"Dynamics of a Two-Strain Model With Vaccination, General Incidence Rate, and Nonlocal Diffusion","authors":"Arturo J. Nic-May, Eric J. Avila-Vales","doi":"10.1002/mma.10680","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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 \n<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>ℛ</mi>\n </mrow>\n <mrow>\n <mn>0</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {\\mathcal{R}}_0 $$</annotation>\n </semantics></math> is defined, and the existence of principal eigenvalue is studied. For \n<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>ℛ</mi>\n </mrow>\n <mrow>\n <mn>0</mn>\n </mrow>\n </msub>\n <mo><</mo>\n <mn>1</mn>\n </mrow>\n <annotation>$$ {\\mathcal{R}}_0&lt;1 $$</annotation>\n </semantics></math>, we prove the disease-free steady state is globally asymptotically stable, and when \n<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>ℛ</mi>\n </mrow>\n <mrow>\n <mn>0</mn>\n </mrow>\n </msub>\n <mo>></mo>\n <mn>1</mn>\n </mrow>\n <annotation>$$ {\\mathcal{R}}_0&gt;1 $$</annotation>\n </semantics></math>, 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.</p>\n </div>","PeriodicalId":49865,"journal":{"name":"Mathematical Methods in the Applied Sciences","volume":"48 6","pages":"6396-6424"},"PeriodicalIF":2.1000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Methods in the Applied Sciences","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mma.10680","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
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
is defined, and the existence of principal eigenvalue is studied. For
, we prove the disease-free steady state is globally asymptotically stable, and when
, 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.
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.
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