Department of Epidemiology, School of Global Public Health, New York University, New York, NY, USA.
Department of Mathematics, Middlebury College, Middlebury, VT, USA.
J R Soc Interface. 2021 Aug;18(181):20210186. doi: 10.1098/rsif.2021.0186. Epub 2021 Aug 4.
We present a differential equations model in which contagious disease transmission is affected by contagious fear of the disease and contagious fear of the control, in this case vaccine. The three contagions are coupled. The two fears evolve and interact in ways that shape distancing behaviour, vaccine uptake, and their relaxation. These behavioural dynamics in turn can amplify or suppress disease transmission, which feeds back to affect behaviour. The model reveals several coupled contagion mechanisms for multiple epidemic waves. Methodologically, the paper advances infectious disease modelling by including human behavioural adaptation, drawing on the neuroscience of fear learning, extinction and transmission.
我们提出了一个微分方程模型,其中传染病的传播受到传染性对疾病的恐惧和对控制(在这种情况下是疫苗)的传染性恐惧的影响。这三种传染病相互耦合。这两种恐惧以影响隔离行为、疫苗接种率及其放松的方式演变和相互作用。这些行为动态反过来又可以放大或抑制疾病的传播,从而反馈影响行为。该模型揭示了多种传染病传播的多种机制,可引发多次疫情浪潮。从方法论上讲,本文通过纳入人类行为适应,借鉴恐惧学习、消退和传播的神经科学,推进了传染病模型的建立。