Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission

Recently an SIS epidemic reaction-diffusion model with Neumann (or no-flux) boundary condition has been proposed and studied by several authors to understand the dynamics of disease transmission in a spatially heterogeneous environment in which the individuals are subject to a random movement. Many...

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Main Authors: Wenzhang Huang, Maoan Han, Kaiyu Liu
Format: Article
Language:English
Published: AIMS Press 2009-12-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.51
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author Wenzhang Huang
Maoan Han
Kaiyu Liu
author_facet Wenzhang Huang
Maoan Han
Kaiyu Liu
author_sort Wenzhang Huang
collection DOAJ
description Recently an SIS epidemic reaction-diffusion model with Neumann (or no-flux) boundary condition has been proposed and studied by several authors to understand the dynamics of disease transmission in a spatially heterogeneous environment in which the individuals are subject to a random movement. Many important and interesting properties have been obtained: such as the role of diffusion coefficients in defining the reproductive number; the global stability of disease-free equilibrium; the existence and uniqueness of a positive endemic steady; global stability of endemic steady for some particular cases; and the asymptotical profiles of the endemic steady states as the diffusion coefficient for susceptible individuals is sufficiently small. In this research we will study two modified SIS diffusion models with the Dirichlet boundary condition that reflects a hostile environment in the boundary. The reproductive number is defined which plays an essential role in determining whether the disease will extinct or persist. We have showed that the disease will die out when the reproductive number is less than one and that the endemic equilibrium occurs when the reproductive number is exceeds one. Partial result on the global stability of the endemic equilibrium is also obtained.
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spelling doaj-art-59907d1611c24211bc200fba005d4bcb2025-01-24T02:00:16ZengAIMS PressMathematical Biosciences and Engineering1551-00182009-12-0171516610.3934/mbe.2010.7.51Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmissionWenzhang Huang0Maoan Han1Kaiyu Liu2Department of Mathematics, Shanghai Normal University, Shanghai, 200234Department of Mathematics, Shanghai Normal University, Shanghai, 200234Department of Mathematics, Shanghai Normal University, Shanghai, 200234Recently an SIS epidemic reaction-diffusion model with Neumann (or no-flux) boundary condition has been proposed and studied by several authors to understand the dynamics of disease transmission in a spatially heterogeneous environment in which the individuals are subject to a random movement. Many important and interesting properties have been obtained: such as the role of diffusion coefficients in defining the reproductive number; the global stability of disease-free equilibrium; the existence and uniqueness of a positive endemic steady; global stability of endemic steady for some particular cases; and the asymptotical profiles of the endemic steady states as the diffusion coefficient for susceptible individuals is sufficiently small. In this research we will study two modified SIS diffusion models with the Dirichlet boundary condition that reflects a hostile environment in the boundary. The reproductive number is defined which plays an essential role in determining whether the disease will extinct or persist. We have showed that the disease will die out when the reproductive number is less than one and that the endemic equilibrium occurs when the reproductive number is exceeds one. Partial result on the global stability of the endemic equilibrium is also obtained.https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.51stability.epidemic modelreaction-diffusion equations
spellingShingle Wenzhang Huang
Maoan Han
Kaiyu Liu
Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission
Mathematical Biosciences and Engineering
stability.
epidemic model
reaction-diffusion equations
title Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission
title_full Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission
title_fullStr Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission
title_full_unstemmed Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission
title_short Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission
title_sort dynamics of an sis reaction diffusion epidemic model for diseasetransmission
topic stability.
epidemic model
reaction-diffusion equations
url https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.51
work_keys_str_mv AT wenzhanghuang dynamicsofansisreactiondiffusionepidemicmodelfordiseasetransmission
AT maoanhan dynamicsofansisreactiondiffusionepidemicmodelfordiseasetransmission
AT kaiyuliu dynamicsofansisreactiondiffusionepidemicmodelfordiseasetransmission