混合SI-SEI流行病学模型中的种群诱发振荡。

Piero Manfredi, Ernesto Salinelli
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引用次数: 0

摘要

考虑了混合SI-SEI模型(其中“快速和缓慢”结核病模型是一个例子)中人口增长的标准模式的影响。当发生率具有“真质量作用”形式时,系统在指数和逻辑种群动力学下都是全局稳定的,而在双线性发生率的情况下则发生持续振荡。这在最后的分析中表明,在基本流行病学模型中产生振荡所需的最小动态因素:如果人口呈指数增长,并且发病率是双线性的,则至少有一部分新暴露的个体必须延迟进入感染状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Population-induced oscillations in blended SI-SEI epidemiological models.

The effects of standard patterns of population growth in blended SI-SEI models (of which models for 'fast and slow' tuberculosis are an instance) are considered. When the incidence has the 'true mass action' form, the system is globally stable under both exponential and logistic population dynamics, whereas sustained oscillations occur in the case of bilinear incidence. This shows in the final analysis, the minimal dynamical ingredients needed to generate oscillations in basic epidemiological models: provided the population is exponentially growing and the incidence is bilinear, at least a fraction of the newly exposed individuals must enter the infective state with a delay.

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