同质性对数字邻近追踪的影响
The impact of homophily on digital proximity tracing
摘要：
我们研究了人类物理相互作用的同质性如何影响数字接近跟踪的功效。分析结果表明，一个非单调的依赖性的繁殖数量相对于采用接触追踪应用程序和那些不的个人之间的混合率。此外，我们发现政权的攻击率有局部最优，最小值或单调变化的混合率。我们证实了我们的研究结果与小学网络上的蒙特卡罗模拟。这项研究提供了一个数学基础，以更好地了解如何在健康行为的同质性形状的流行病的动态。
英文摘要：
We study how homophily of human physical interactions affects the efficacy of digital proximity tracing. Analytical results show a non monotonous dependence of the reproduction number with respect to the mixing rate between individuals that adopt the contact tracing app and the ones that do not. Furthermore, we find regimes in which the attack rate has local optima, minima or monotonously varies with the mixing rate. We corroborate our findings with Monte Carlo simulations on a primary-school network. This study provides a mathematical basis to better understand how homophily in health behavior shapes the dynamics of epidemics.
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