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Global stability of an information-related epidemic model with age-dependent latency and relapse

机译:具有年龄依赖性潜伏期和复发的信息相关流行病模型的全局稳定性

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摘要

We study the problem of information-related contact rate for anSEIRepidemic model with age-dependent latency and relapse. The contact pattern includes an information variable which is a negative feedback of susceptible individuals related to the memory of past and current states of infectious disease. We prove the asymptotic smoothness of solutions and the existence of equilibria in the positive invariant set. And we show uniform persistence of the system by comparing with a system of Volterra type integro-differential equations. Importantly, it follows from appropriate conditions that the local stability and global stability of equilibria can be concluded by the methods of corresponding characteristic equations and proper Lyapunov functionals, respectively. Finally, we give numerical simulations to illustrate the influence of the information on changing the coordinate of endemic equilibrium by increasing susceptible population and decreasing infectious population. It is remarkable to find that information coverage and the length of disease-relate memory would work effectively on the progression of disease.
机译:我们研究与年龄相关的潜伏期和复发的SEI流行病模型的信息相关接触率问题。接触方式包括信息变量,该信息变量是易感人群与过去和当前传染病状态记忆有关的负面反馈。我们证明了正不变集中解的渐近光滑性和均衡性的存在。通过与Volterra型积分微分方程组进行比较,我们证明了系统的一致持久性。重要的是,从适当的条件出发,可以分别通过相应的特征方程式和适当的Lyapunov泛函方法得出平衡的局部稳定性和整体稳定性。最后,我们提供了数值模拟,以说明信息通过增加易感人群和减少传染性人群而改变地方均衡平衡坐标的影响。令人惊奇的是,发现信息覆盖率和与疾病相关的记忆时间长短对疾病的进展有效。

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