Global stability of a susceptible-infected-susceptible epidemic model on networks with individual awareness

Recent research results indicate that individual awareness can play an important influence on epidemic spreading in networks. By local stability analysis, a significant conclusion is that the embedded awareness in an epidemic network can increase its epidemic threshold. In this paper, by using limit theory and dynamical system theory, we further give global stability analysis of a susceptible-infected-susceptible(SIS) epidemic model on networks with awareness. Results show that the obtained epidemic threshold is also a global stability condition for its endemic equilibrium, which implies the embedded awareness can enhance the epidemic threshold globally. Some numerical examples are presented to verify the theoretical results.     

非一致通信时滞动力学网络上的接连滞后同步

在动力学网络中,节点与节点之间的通信通常存在时滞,并且不同节点之间的通信时滞往往是不同的(即非一致通信时滞),研究非一致通信时滞动力学网络上的接连滞后同步,更具现实意义.为此,本文首先构建含有非一致通信时滞的动力学网络模型.其次分别设计线性反馈控制和自适应反馈控制,利用Lyapunov函数方法,重点分析了该网络的接连滞后同步的稳定性,得到了同步稳定的充分条件.最后,选取蔡氏电路作为局部动力学,又分别选取了链式网络和星型网络这两种拓扑结构来验证理论结果的正确性和有效性.     

禽流感H7N9传播模型的动力学分析

H7N9型禽流感严重威胁人类健康和生命安全.为研究H7N9病毒的传播规律,提出了一个结合人群、家禽和环境中病毒之间相互作用的SI-V-SEIR禽流感传染病模型.通过动力学分析,给出基本再生数R₀的表达式,并证明无病平衡点和地方病平衡点的稳定性.接着应用模型分析广东省2016年—2017年的H7N9疫情,获得疫情初期R₀=18.8,此时禽类的接种率需达到94.7%才能控制病毒在禽类和环境中的传播,而采取措施后R₀=0.14.结果表明,降低环境中的病毒载量、和禽类之间以及禽到人的传染率能有效地减少染病人数.