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首页> 外文期刊>Journal of Mathematical Biology >Disease-induced mortality in density-dependent discrete-time S-I-S epidemic models
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Disease-induced mortality in density-dependent discrete-time S-I-S epidemic models

机译:密度依赖性离散时间S-I-S流行病模型中疾病引起的死亡率

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The dynamics of simple discrete-time epidemic models without disease-induced mortality are typically characterized by global transcritical bifurcation. We prove that in corresponding models with disease-induced mortality a tiny number of infectious individuals can drive an otherwise persistent population to extinction. Our model with disease-induced mortality supports multiple attractors. In addition, we use a Ricker recruitment function in an SIS model and obtained a three component discrete Hopf (Neimark–Sacker) cycle attractor coexisting with a fixed point attractor. The basin boundaries of the coexisting attractors are fractal in nature, and the example exhibits sensitive dependence of the long-term disease dynamics on initial conditions. Furthermore, we show that in contrast to corresponding models without disease-induced mortality, the disease-free state dynamics do not drive the disease dynamics.
机译:没有疾病引起的死亡率的简单离散时间流行病模型的动力学特征通常是全局跨临界分叉。我们证明,在具有疾病引起的死亡率的相应模型中,极少数感染个体可以驱使原本持久的种群灭绝。我们的疾病引起的死亡率模型支持多个吸引子。此外,我们在SIS模型中使用了Ricker募集函数,并获得了与定点吸引子共存的三分量离散Hopf(Neimark–Sacker)周期吸引子。共存吸引子的盆地边界在本质上是分形的,该示例显示出长期疾病动态对初始条件的敏感依赖性。此外,我们表明,与没有疾病引起的死亡率的相应模型相比,无疾病状态动力学不会驱动疾病动力学。

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