独特性
基本再生数
消光(光学矿物学)
限制
数学
零(语言学)
扩散
传输(电信)
反应扩散系统
统计物理学
物理
数学分析
热力学
人口学
人口
计算机科学
光学
工程类
哲学
社会学
机械工程
电信
语言学
作者
Linda J. S. Allen,Benjamin M. Bolker,Yuan Lou,Andrew L. Nevai
出处
期刊:Discrete and Continuous Dynamical Systems
[American Institute of Mathematical Sciences]
日期:2008-01-01
卷期号:21 (1): 1-20
被引量:407
标识
DOI:10.3934/dcds.2008.21.1
摘要
To understand the impact of spatial heterogeneity of environment and movement of individuals on the persistence and extinction of a disease, a spatial SIS reaction-diffusion model is studied, with the focus on the existence, uniqueness and particularly the asymptotic profile of the steady-states. First, the basic reproduction number $\R_{0}$ is defined for this SIS PDE model. It is shown that if $\R_{0} 1$, the disease-free equilibrium is unstable and there is a unique endemic equilibrium. A domain is called high (low) risk if the average of the transmission rates is greater (less) than the average of the recovery rates. It is shown that the disease-free equilibrium is always unstable $(\R_{0} > 1)$ for high-risk domains. For low-risk domains, the disease-free equilibrium is stable $(\R_{0} < 1)$ if and only if infected individuals have mobility above a threshold value. The endemic equilibrium tends to a spatially inhomogeneous disease-free equilibrium as the mobility of susceptible individuals tends to zero. Surprisingly, the density of susceptibles for this limiting disease-free equilibrium, which is always positive on the subdomain where the transmission rate is less than the recovery rate, must also be positive at some (but not all) places where the transmission rates exceed the recovery rates.
科研通智能强力驱动
Strongly Powered by AbleSci AI