观点驱动的疾病动力学中的混沌
Chaos in opinion-driven disease dynamics
AI总结：
针对新冠疫情中社会观点影响干预效果的现象，研究观点-流行病耦合系统的一种可能形式，发现其存在复杂周期或混沌动力学，会引发感染数大幅波动，且模型具备保护模式特征。
摘要：
在新冠疫情期间，干预措施的实施效果显著受社会接受度影响，而社会接受度又受观点形成过程影响，这一点已十分明确。本文探究了观点-流行病耦合系统众多可能性中的一种。研究发现呈现出复杂周期模式或混沌动力学，导致观点分布大幅波动，进而使总感染数随时间发生显著变化。有趣的是，该模型展现出保护模式。
英文摘要：
During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affected by the processes of opinion formation. This article explores one among the many possibilities of a coupled opinion-epidemic system. The findings reveal either intricate periodic patterns or chaotic dynamics, leading to substantial fluctuations in opinion distribution and, consequently, significant variations in the total number of infections over time. Interestingly, the model is exhibiting the protective pattern.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
