{"title":"在拉顿测量空间上具有扩散作用的多菌株病原体模型","authors":"Azmy S. Ackleh , Nicolas Saintier , Aijun Zhang","doi":"10.1016/j.cnsns.2024.108402","DOIUrl":null,"url":null,"abstract":"<div><div>We formulate a multiple strain Susceptible–Infectious–Susceptible (SIS) pathogen model with diffusion on the space of Radon measures which has the advantage of unifying discrete and continuous strain spaces under one framework. We first establish the well-posedness of this model. Then we study the long-time behavior for the case of discrete strain spaces. We define the basic reproduction number for each strain. We establish the existence of a disease-free equilibrium and a strain-specific endemic equilibrium which defines a competitive exclusion equilibrium where the density of individuals at one strain is positive and the density at the remaining strains is zero. We study the stability of these equilibria under the assumption that the disease transmission and recovery rates are spatially homogeneous or under the assumption that the diffusion rate of the susceptible individuals is equal to the diffusion rate of the infected individuals. We then extend some of these long-time behavior results from the discrete strain space case to the continuous strain space case.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"140 ","pages":"Article 108402"},"PeriodicalIF":3.4000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multiple-strain pathogen model with diffusion on the space of Radon measures\",\"authors\":\"Azmy S. Ackleh , Nicolas Saintier , Aijun Zhang\",\"doi\":\"10.1016/j.cnsns.2024.108402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We formulate a multiple strain Susceptible–Infectious–Susceptible (SIS) pathogen model with diffusion on the space of Radon measures which has the advantage of unifying discrete and continuous strain spaces under one framework. We first establish the well-posedness of this model. Then we study the long-time behavior for the case of discrete strain spaces. We define the basic reproduction number for each strain. We establish the existence of a disease-free equilibrium and a strain-specific endemic equilibrium which defines a competitive exclusion equilibrium where the density of individuals at one strain is positive and the density at the remaining strains is zero. We study the stability of these equilibria under the assumption that the disease transmission and recovery rates are spatially homogeneous or under the assumption that the diffusion rate of the susceptible individuals is equal to the diffusion rate of the infected individuals. We then extend some of these long-time behavior results from the discrete strain space case to the continuous strain space case.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"140 \",\"pages\":\"Article 108402\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Nonlinear Science and Numerical Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1007570424005872\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570424005872","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
A multiple-strain pathogen model with diffusion on the space of Radon measures
We formulate a multiple strain Susceptible–Infectious–Susceptible (SIS) pathogen model with diffusion on the space of Radon measures which has the advantage of unifying discrete and continuous strain spaces under one framework. We first establish the well-posedness of this model. Then we study the long-time behavior for the case of discrete strain spaces. We define the basic reproduction number for each strain. We establish the existence of a disease-free equilibrium and a strain-specific endemic equilibrium which defines a competitive exclusion equilibrium where the density of individuals at one strain is positive and the density at the remaining strains is zero. We study the stability of these equilibria under the assumption that the disease transmission and recovery rates are spatially homogeneous or under the assumption that the diffusion rate of the susceptible individuals is equal to the diffusion rate of the infected individuals. We then extend some of these long-time behavior results from the discrete strain space case to the continuous strain space case.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.