Bruno Kessler Foundation, Trento, Italy.
Math Biosci. 2012 Aug;238(2):80-9. doi: 10.1016/j.mbs.2012.04.003. Epub 2012 May 3.
Beyond control measures imposed by public authorities, human behavioral changes can be triggered by uncoordinated responses driven by the risk perception of an emerging epidemic. In order to account for spontaneous social distancing, a model based on an evolutionary game theory framework is here proposed. Behavioral changes are modeled through an imitation process in which the convenience of different behaviors depends on the perceived prevalence of infections. Effects of misperception of risk induced by partial or incorrect information concerning the state of the epidemic are considered as well. Our findings highlight that, if the perceived risk associated to an epidemic is sufficiently large, then even a small reduction in the number of potentially infectious contacts (as a response to the epidemic) can remarkably affect the infection spread. In particular, the earlier the warning about the epidemic appears, the larger the possible reduction of the peak prevalence, and of the final epidemic size. Moreover, the epidemic spread is delayed if individuals' perception of risk is based on a memory mechanism and the risk of infection is initially overestimated. In conclusion, this analysis allows noteworthy inferences about the role of risk perception and the effectiveness of spontaneous behavioral changes during an emerging epidemic.
除了公共当局实施的控制措施之外,新兴传染病的风险感知也可能引发不协调的反应,从而导致人类行为发生变化。为了考虑到自发的社会隔离,本文提出了一个基于进化博弈论框架的模型。通过模仿过程来模拟行为变化,不同行为的便利性取决于感知到的感染流行程度。还考虑了由于部分或不正确的传染病状态信息而导致的风险感知错误的影响。研究结果表明,如果与传染病相关的感知风险足够大,那么即使潜在感染接触者数量略有减少(作为对传染病的反应),也可能显著影响感染的传播。特别是,如果关于传染病的警报出现得更早,那么峰值流行率和最终传染病规模的可能减少幅度就越大。此外,如果个体的风险感知基于记忆机制并且最初高估了感染风险,那么传染病的传播就会延迟。总之,这项分析对新兴传染病期间风险感知和自发行为变化的有效性的作用提供了值得注意的推断。