American Institute of Mathematical Sciences

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2010, 7(1): 51-66. doi: 10.3934/mbe.2010.7.51

Dynamics of an SIS reaction-diffusion epidemic model for disease transmission

Wenzhang Huang 1, , Maoan Han 2, and  Kaiyu Liu 3,

1. 

Department of Mathematics, Shanghai Normal University, Shanghai, 200234, China
2. 

Department of Mathematics, Shanghai Normal University, Shanghai 200234
3. 

College of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410082, China

Received  August 2009 Revised  October 2009 Published  January 2010

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.
Keywords: stability., epidemic model, reaction-diffusion equations.
Mathematics Subject Classification: Primary: 35K57, 35B35; Secondary: 92D2.
Citation: Wenzhang Huang, Maoan Han, Kaiyu Liu. Dynamics of an SIS reaction-diffusion epidemic model for disease transmission. Mathematical Biosciences & Engineering, 2010, 7 (1) : 51-66. doi: 10.3934/mbe.2010.7.51
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