Global stability of two-scale network human epidemic dynamic model

D. Wanduku, G. Ladde
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引用次数: 11

Abstract

The recent high rate of globalization of new disease strains and infectious agents at non-endemic zones is closely associated with complex human population structure and the large-scale inter-patch connections human transportations. The complexities in the human population structure create heterogeneities with respect to patch dwelling populations as well as endemic population structure. We present a multi-group SIRS dynamic epidemic process in the context of scale structured population. For simplicity we limit the scale to the value of two and define a multi-scale extension algorithm for the epidemic process. We investigate the global uniform asymptotic stability of the disease free equilibrium of the scale structured epidemic dynamic process and its impact on the emergence, propagation and resurgence of the disease. The presented results are demonstrated by numerical simulation results.
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二尺度网络人类流行病动态模型的全局稳定性
近年来,新的疾病毒株和传染原在非流行地区的高全球化率与复杂的人口结构和大规模的斑块间联系密切相关。人口结构的复杂性造成了斑块居住人口和地方性人口结构的异质性。我们提出了一个大规模结构人群背景下的多群体SIRS动态流行过程。为简单起见,我们将尺度限制为2,并定义了流行病过程的多尺度扩展算法。研究了规模结构流行病动态过程无病平衡点的全局一致渐近稳定性及其对疾病出现、传播和复发的影响。数值模拟结果验证了本文的研究结果。
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