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Dynamics and asymptotic profiles of endemic equilibrium for two frequency-dependent SIS epidemic models with cross-diffusion

Published online by Cambridge University Press:  18 September 2018

HUICONG LI
Affiliation:
School of Mathematics, Sun Yat-sen University, Guangzhou 510275, Guangdong Province, China email: [email protected]
RUI PENG
Affiliation:
School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 221116, Jiangsu Province, China email: [email protected]
TIAN XIANG*
Affiliation:
Institute for Mathematical Sciences, Renmin University of China, Beijing 100872, China email: [email protected]

Abstract

This paper is concerned with two frequency-dependent susceptible–infected–susceptible epidemic reaction–diffusion models in heterogeneous environment, with a cross-diffusion term modelling the effect that susceptible individuals tend to move away from higher concentration of infected individuals. It is first shown that the corresponding Neumann initial-boundary value problem in an n-dimensional bounded smooth domain possesses a unique global classical solution which is uniformly in-time bounded regardless of the strength of the cross-diffusion and the spatial dimension n. It is further shown that, even in the presence of cross-diffusion, the models still admit threshold-type dynamics in terms of the basic reproduction number $\mathcal {R}_0$ – i.e. the unique disease-free equilibrium is globally stable if $\mathcal {R}_0\lt1$, while if $\mathcal {R}_0\gt1$, the disease is uniformly persistent and there is an endemic equilibrium (EE), which is globally stable in some special cases with weak chemotactic sensitivity. Our results on the asymptotic profiles of EE illustrate that restricting the motility of susceptible population may eliminate the infectious disease entirely for the first model with constant total population but fails for the second model with varying total population. In particular, this implies that such cross-diffusion does not contribute to the elimination of the infectious disease modelled by the second one.

Type
Papers
Copyright
© Cambridge University Press 2018 

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