Balancing social utility and equity in distributing limited vaccines represents a critical policy concern for protecting against the prolonged COVID-19 pandemic. What is the nature of the trade-off between maximizing collective welfare and minimizing disparities between more and less privileged communities? To evaluate vaccination strategies, we propose a novel epidemic model that explicitly accounts for both demographic and mobility differences among communities and their association with heterogeneous COVID-19 risks, then calibrate it with large-scale data. Using this model, we find that social utility and equity can be simultaneously improved when vaccine access is prioritized for the most disadvantaged communities, which holds even when such communities manifest considerable vaccine reluctance. Nevertheless, equity among distinct demographic features are in tension due to their complex correlation in society. We design two behavior-and-demography-aware indices, community risk and societal harm, which capture the risks communities face and those they impose on society from not being vaccinated, to inform the design of comprehensive vaccine distribution strategies. Our study provides a framework for uniting utility and equity-based considerations in vaccine distribution, and sheds light on how to balance multiple ethical values in complex settings for epidemic control.
翻译:为了评估疫苗接种战略,我们提出了一个新的流行病模式,明确考虑到社区之间人口和流动性的差异,以及社区与各种COVID-19风险之间的联系,然后用大规模数据加以校准。利用这一模式,我们发现,如果将获得疫苗的机会优先分配给最弱势社区,社会效用和公平可以同时得到改善,因为即使这些社区在疫苗分配方面表现出相当强烈的不情愿。然而,由于不同的人口特征在社会中的复杂关系,它们之间的公平性仍然处于紧张状态。我们设计了两种行为和人口意识指数、社区风险和社会伤害,这些指数反映社区所面临的风险以及社区在未接种疫苗方面对社会造成的风险,为制定全面的疫苗分发战略提供信息。我们的研究为在疫苗分发方面将效用和基于公平的考虑结合起来提供了一个框架,并说明了如何在复杂的环境下平衡多种控制流行病的道德价值。