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A numerical investigation of discrete oscillating epidemic models

机译:离散振荡流行模型的数值研究

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摘要

Two discrete-time deterministic epidemic models are analysed numerically in order to determine their properties and evolutions. One of the models is formulated as discrete-time approximation of a corresponding continuous-time model. Restrictive assumptions are made on the parameters of the models, in order to guarantee that the transitions are determined by true probabilities, so that comparisons with stochastic discrete-time previsions can be also provided. The conditions that lead to periodicity in the infectious disease are investigated. It is found that the epidemic oscillates when a small fraction of individuals became not permanently immunised. Smaller the probability that a recovered becomes susceptible, generally larger the period of the oscillations in the infected population. (c) 2005 Elsevier B.V. All rights reserved.
机译:对两个离散时间确定性流行病模型进行了数值分析,以确定它们的性质和演变。这些模型之一被表述为相应连续时间模型的离散时间近似值。为了保证转换是由真实概率确定的,对模型的参数进行了限制性假设,因此也可以提供与随机离散时间预设的比较。对导致传染病周期性发作的条件进行了研究。人们发现,当一小部分人没有得到永久性免疫时,该流行病就会发生振荡。恢复的可能性变得较小的可能性较小,通常在受感染的种群中发生振荡的周期较大。 (c)2005 Elsevier B.V.保留所有权利。

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