Cheng Chang-Yuan
Department of Applied Mathematics, National Pingtung University, Pingtung 900, Taiwan, ROC.
Appl Math Model. 2017 Jul;47:17-30. doi: 10.1016/j.apm.2017.03.004. Epub 2017 Mar 14.
During outbreaks of a communicable disease, people intensely follow the media coverage of the epidemic. Most people attempt to minimize contact with others, and move themselves to avoid crowds. This dispersal may be adaptive regarding the intensity of media coverage and the population numbers in different patches. We propose an epidemic model with such adaptive dispersal rates to examine how appropriate adaption can facilitate disease control in connected groups or patches. Assuming dependence of the adaptive dispersal on the total population in the relevant patches, we derived an expression for the basic reproduction number to be related to the intensity of media coverage, and we show that the disease-free equilibrium is globally asymptotically stable if and it becomes unstable if . In the unstable case, we showed a uniform persistence of disease by using a perturbation theory and the monotone dynamics theory. Specifically, when the disease mildly affects the dispersal of infectious individuals and rarely induces death, a unique endemic equilibrium exists in the model, which is globally asymptotically stable in positive states. Moreover, we performed numerical calculations to explain how the intensity of media coverage causes competition among patches, and influences the final distribution of the population.
在传染病爆发期间,人们密切关注媒体对疫情的报道。大多数人试图尽量减少与他人的接触,并主动避开人群。这种分散行为可能会根据媒体报道的强度以及不同区域的人口数量进行调整。我们提出了一个具有这种适应性分散率的流行病模型,以研究适当的调整如何促进对相连群体或区域内疾病的控制。假设适应性分散取决于相关区域的总人口,我们推导出了一个与媒体报道强度相关的基本再生数表达式,并表明如果 ,无病平衡点是全局渐近稳定的,而如果 ,它就会变得不稳定。在不稳定的情况下,我们利用摄动理论和单调动力学理论证明了疾病的一致持续性。具体而言,当疾病对感染个体的分散影响较小且很少导致死亡时,模型中存在唯一的地方病平衡点,它在正状态下是全局渐近稳定的。此外,我们进行了数值计算,以解释媒体报道强度如何在不同区域间引发竞争,并影响人口的最终分布。