SIR 模型中的反复和混乱爆发

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Chunyi Gai, Theodore Kolokolnikov, Jan Schrader, Vedant Sharma
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引用次数: 0

摘要

我们研究了基本的易感-感染-恢复模型的几个扩展模型,这些模型能够诱发反复爆发(基本的易感-感染-恢复模型本身并不表现出反复爆发)。我们首先分析了缓慢的季节性变化如何破坏地方性平衡,从而导致疾病的反复爆发。在缓慢丧失免疫力的情况下,我们推导出描述这种转变的渐近阈值。在疫情爆发机制中,我们利用渐近匹配法获得了描述疫情爆发时间和强度的二维离散图。然后,我们利用线性稳定性和数值分析法对得到的图谱进行分析。随着强迫频率的增加,该图呈现出周期加倍的混乱路线,与频率增加的周期性爆发交替出现。可导致周期性爆发的其他扩展包括添加噪声、状态依赖性变化和模型类别的精细划分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recurrent and chaotic outbreaks in SIR model
We examine several extensions to the basic Susceptible-Infected-Recovered model, which are able to induce recurrent outbreaks (the basic Susceptible-Infected-Recovered model by itself does not exhibit recurrent outbreaks). We first analyse how slow seasonal variations can destabilise the endemic equilibrium, leading to recurrent outbreaks. In the limit of slow immunity loss, we derive asymptotic thresholds that characterise this transition. In the outbreak regime, we use asymptotic matching to obtain a two-dimensional discrete map which describes outbreak times and strength. We then analyse the resulting map using linear stability and numerics. As the frequency of forcing is increased, the map exhibits a period-doubling route to chaos which alternates with periodic outbreaks of increasing frequency. Other extensions that can lead to recurrent outbreaks include the addition of noise, state-dependent variation and fine-graining of model classes.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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