Nande Anjalika, Sheen Justin, Walters Emma L, Klein Brennan, Chinazzi Matteo, Gheorghe Andrei, Adlam Ben, Shinnick Julianna, Tejeda Maria Florencia, Scarpino Samuel V, Vespignani Alessandro, Greenlee Andrew J, Schneider Daniel, Levy Michael Z, Hill Alison L
Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138.
Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104.
medRxiv. 2021 Jan 19:2020.10.27.20220897. doi: 10.1101/2020.10.27.20220897.
Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here we model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical metropolitan area. We recreate a range of urban epidemic trajectories and project the course of the epidemic under two counterfactual scenarios, one in which a strict moratorium on evictions is in place and enforced, and another in which evictions are allowed to resume at baseline or increased rates. We find, across scenarios, that evictions lead to significant increases in infections. Applying our model to Philadelphia using locally-specific parameters shows that the increase is especially profound in models that consider realistically heterogenous cities in which both evictions and contacts occur more frequently in poorer neighborhoods. Our results provide a basis to assess municipal eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.
新冠疫情期间的大规模失业可能会在美国城市引发一场驱逐危机。在此,我们模拟了驱逐对新冠病毒疫情的影响,在一个理论上的大都市区内模拟家庭内部和家庭之间的病毒传播。我们重现了一系列城市疫情轨迹,并在两种反事实情景下预测疫情的发展过程,一种情景是实施并执行严格的驱逐禁令,另一种情景是允许驱逐以基线速率或更高速率恢复。我们发现,在各种情景下,驱逐都会导致感染显著增加。使用当地特定参数将我们的模型应用于费城表明,在考虑现实中存在差异的城市(在这些城市中,较贫困社区的驱逐和接触更为频繁)的模型中,这种增加尤为显著。我们的结果为评估市政驱逐禁令提供了依据,并表明阻止驱逐的政策是新冠疫情防控中一项必要且重要的组成部分。