The impact of fear and behaviour response to established and novel diseases

Avneet Kaur, Rebecca Tyson, Iain Moyles
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Abstract

We analyze a disease transmission model that allows individuals to acquire fear and change their behaviour to reduce transmission. Fear is acquired through contact with infected individuals and through the influence of fearful individuals. We analyze the model in two limits: First, an Established Disease Limit (EDL), where the spread of the disease is much faster than the spread of fear, and second, a Novel Disease Limit (NDL), where the spread of the disease is comparable to that of fear. For the EDL, we show that the relative rate of fear acquisition to disease transmission controls the size of the fearful population at the end of a disease outbreak, and that the fear-induced contact reduction behaviour has very little impact on disease burden. Conversely, we show that in the NDL, disease burden can be controlled by fear-induced behaviour depending on the rate of fear loss. Specifically, fear-induced behaviour introduces a contact parameter $p$, which if too large prevents the contact reduction from effectively managing the epidemic. We analytically identify a critical prophylactic behaviour parameter $p=p_c$ where this happens leading to a discontinuity in epidemic prevalence. We show that this change in disease burden introduces multiple epidemic waves.
恐惧和行为反应对既定疾病和新型疾病的影响
我们分析了一个疾病传播模型,该模型允许个体获得恐惧感并改变行为以减少传播。恐惧是通过接触受感染的个体和受恐惧个体的影响而获得的。我们从两个限度对模型进行分析:第一,既定疾病极限(EDL),即疾病的传播速度远远快于恐惧的传播速度;第二,新疾病极限(NDL),即疾病的传播速度与恐惧的传播速度相当。对于 EDL,我们的研究表明,在疾病爆发结束时,恐惧人群的规模受疾病传播的相对速度控制,而由恐惧引起的减少接触行为对疾病负担的影响很小。相反,我们发现,在 NDL 中,疾病负担可由恐惧诱导行为控制,这取决于恐惧丧失率。具体来说,恐惧诱导行为会引入一个接触参数 $p$,如果这个参数过大,就会阻止接触减少行为有效控制疫情。我们通过分析确定了一个临界预防行为参数$p=p_c$,在该参数下,疫情流行率会出现不连续。我们证明,这种疾病负担的变化会带来多重流行病浪潮。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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