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模型传染病中的参数依赖性。I:与接触相关的参数。

Parametric dependence in model epidemics. I: contact-related parameters.

机构信息

Department of Ecology and Evolutionary Biology, The University of Arizona, Tucson, AZ 85721, USA.

出版信息

J Biol Dyn. 2007 Apr;1(2):183-95. doi: 10.1080/17513750601174216.

Abstract

One of the interesting properties of nonlinear dynamical systems is that arbitrarily small changes in parameter values can induce qualitative changes in behavior. The changes are called bifurcations, and they are typically visualized by plotting asymptotic dynamics against a parameter. In some cases, the resulting bifurcation diagram is unique: irrespective of initial conditions, the same dynamical sequence obtains. In other cases, initial conditions do matter, and there are coexisting sequences. Here we study an epidemiological model in which multiple bifurcation sequences yield to a single sequence in response to varying a second parameter. We call this simplification the emergence of unique parametric dependence (UPD) and discuss how it relates to the model's overall response to parameters. In so doing, we tie together a number of threads that have been developing since the mid-1980s. These include period-doubling; subharmonic resonance, attractor merging and subduction and the evolution of strange invariant sets. The present paper focuses on contact related parameters. A follow-up paper, to be published in this journal, will consider the effects of non-contact related parameters.

摘要

非线性动力系统的一个有趣特性是,参数值的任意小变化都会引起行为的定性变化。这些变化称为分叉,通常通过绘制渐近动力学与参数的关系图来可视化。在某些情况下,得到的分叉图是唯一的:无论初始条件如何,都会得到相同的动力学序列。在其他情况下,初始条件确实很重要,并且存在共存的序列。在这里,我们研究了一个流行病学模型,其中多个分叉序列在响应第二个参数的变化时会简化为一个单一的序列。我们称这种简化为单一参数依赖性的出现(UPD),并讨论它如何与模型对参数的整体响应相关。通过这样做,我们将自 20 世纪 80 年代中期以来一直在发展的许多线索联系在一起。这些线索包括倍周期;亚谐波共振、吸引子合并和俯冲以及奇异不变集的演化。本文主要关注与接触相关的参数。后续的一篇论文将发表在本期刊上,将考虑与非接触相关的参数的影响。

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