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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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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.View full textDownload full textKeywordsdifference equation, global asymptotic stability, SIR epidemic model, basic reproduction number, backward Euler methodKeywords34K20, 34K25, 92D30Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10236198.2011.555405
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。使用Lyapunov泛函的离散时间模拟,当感染发生率具有合适的单调性时,平衡的全局渐近稳定性完全由基本繁殖数决定。查看全文下载全文关键词差分方程,全局渐近稳定性,SIR流行病模型,基本复制编号,后向Euler方法关键字34K20、34K25、92D30相关var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多” ,pubid:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10236198.2011.555405

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