{"title":"具有福克-普朗克型扩散的空间病媒传播疾病模型的渐近曲线","authors":"Kai Wang, Hongyong Zhao, Hao Wang","doi":"10.1111/sapm.12676","DOIUrl":null,"url":null,"abstract":"<p>This paper is concerned with a spatially heterogeneous vector-borne disease model that follows the Fokker–Planck-type diffusion law. One of the significant features in our model is that Fokker–Planck-type diffusion is used to characterize individual movement, which poses new challenges to theoretical analysis. We derive for the first time the variational characterization of basic reproduction ratio <span></span><math>\n <semantics>\n <msub>\n <mi>R</mi>\n <mn>0</mn>\n </msub>\n <annotation>$\\mathcal {R}_0$</annotation>\n </semantics></math> for the model under certain conditions and investigate its asymptotic profiles with respect to the diffusion rates. Furthermore, via overcoming the difficulty of the associated elliptic eigenvalue problem, the asymptotic behaviors of endemic equilibrium for the model are discussed. Our results imply that whether rapid or slow movement of susceptible and infected individuals are conducive to disease control depends on the degree of disease risk in the habitat. Numerically, we verify the theoretical results and detect that Fokker–Planck-type diffusion may amplify the scale of disease infection, which in turn increases the complexity of disease transmission by comparing the impacts of distinct dispersal types on disease dynamics.</p>","PeriodicalId":51174,"journal":{"name":"Studies in Applied Mathematics","volume":"152 4","pages":"1305-1337"},"PeriodicalIF":2.6000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymptotic profiles of a spatial vector-borne disease model with Fokker–Planck-type diffusion\",\"authors\":\"Kai Wang, Hongyong Zhao, Hao Wang\",\"doi\":\"10.1111/sapm.12676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper is concerned with a spatially heterogeneous vector-borne disease model that follows the Fokker–Planck-type diffusion law. One of the significant features in our model is that Fokker–Planck-type diffusion is used to characterize individual movement, which poses new challenges to theoretical analysis. We derive for the first time the variational characterization of basic reproduction ratio <span></span><math>\\n <semantics>\\n <msub>\\n <mi>R</mi>\\n <mn>0</mn>\\n </msub>\\n <annotation>$\\\\mathcal {R}_0$</annotation>\\n </semantics></math> for the model under certain conditions and investigate its asymptotic profiles with respect to the diffusion rates. Furthermore, via overcoming the difficulty of the associated elliptic eigenvalue problem, the asymptotic behaviors of endemic equilibrium for the model are discussed. Our results imply that whether rapid or slow movement of susceptible and infected individuals are conducive to disease control depends on the degree of disease risk in the habitat. Numerically, we verify the theoretical results and detect that Fokker–Planck-type diffusion may amplify the scale of disease infection, which in turn increases the complexity of disease transmission by comparing the impacts of distinct dispersal types on disease dynamics.</p>\",\"PeriodicalId\":51174,\"journal\":{\"name\":\"Studies in Applied Mathematics\",\"volume\":\"152 4\",\"pages\":\"1305-1337\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Applied Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/sapm.12676\",\"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":"Studies in Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/sapm.12676","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Asymptotic profiles of a spatial vector-borne disease model with Fokker–Planck-type diffusion
This paper is concerned with a spatially heterogeneous vector-borne disease model that follows the Fokker–Planck-type diffusion law. One of the significant features in our model is that Fokker–Planck-type diffusion is used to characterize individual movement, which poses new challenges to theoretical analysis. We derive for the first time the variational characterization of basic reproduction ratio for the model under certain conditions and investigate its asymptotic profiles with respect to the diffusion rates. Furthermore, via overcoming the difficulty of the associated elliptic eigenvalue problem, the asymptotic behaviors of endemic equilibrium for the model are discussed. Our results imply that whether rapid or slow movement of susceptible and infected individuals are conducive to disease control depends on the degree of disease risk in the habitat. Numerically, we verify the theoretical results and detect that Fokker–Planck-type diffusion may amplify the scale of disease infection, which in turn increases the complexity of disease transmission by comparing the impacts of distinct dispersal types on disease dynamics.
期刊介绍:
Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.