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Global dynamics of difference equations for SIR epidemic models with a class of nonlinear incidence rates

机译:一类非线性事件发生率的SIR传染病模型差分方程的全局动力学

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摘要

In this paper, by applying a variation of the backward Euler method, we propose a discrete-time SIR epidemic model whose discretization scheme preserves the global asymptotic stability of equilibria for a class of corresponding continuous-time SIR epidemic models. Using discrete-time analogue of Lyapunov functionals, the global asymptotic stability of the equilibria is fully determined by the basic reproduction number, when the infection incidence rate has a suitable monotone property.
机译:在本文中,通过应用后向Euler方法的变体,我们提出了一个离散时间SIR流行病模型,其离散化方案为一类相应的连续时间SIR流行病模型保留了均衡的全局渐近稳定性。当感染发生率具有合适的单调性时,使用李雅普诺夫函数的离散时间类似物,平衡的全局渐近稳定性完全由基本繁殖数决定。

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