Department of Economics, Stanford University, Stanford, CA 94305.
Abdul Latif Jameel Poverty Action Lab (J-PAL), Cambridge, MA 02142.
Proc Natl Acad Sci U S A. 2021 May 11;118(19). doi: 10.1073/pnas.2021520118.
Regional quarantine policies, in which a portion of a population surrounding infections is locked down, are an important tool to contain disease. However, jurisdictional governments-such as cities, counties, states, and countries-act with minimal coordination across borders. We show that a regional quarantine policy's effectiveness depends on whether 1) the network of interactions satisfies a growth balance condition, 2) infections have a short delay in detection, and 3) the government has control over and knowledge of the necessary parts of the network (no leakage of behaviors). As these conditions generally fail to be satisfied, especially when interactions cross borders, we show that substantial improvements are possible if governments are outward looking and proactive: triggering quarantines in reaction to neighbors' infection rates, in some cases even before infections are detected internally. We also show that even a few lax governments-those that wait for nontrivial internal infection rates before quarantining-impose substantial costs on the whole system. Our results illustrate the importance of understanding contagion across policy borders and offer a starting point in designing proactive policies for decentralized jurisdictions.
区域隔离政策是控制疾病的重要手段,该政策将受感染人群周围的一部分人隔离。然而,管辖政府(如城市、县、州和国家)在跨境行动时几乎没有协调。我们表明,区域隔离政策的有效性取决于以下三个因素:1)网络交互是否满足增长平衡条件;2)感染是否存在短时间的检测延迟;3)政府是否能够控制和了解网络的必要部分(没有行为泄漏)。由于这些条件通常无法得到满足,特别是当交互跨越边界时,如果政府具有外向型和前瞻性,就可以实现实质性的改进:根据邻居的感染率触发隔离,在某些情况下,甚至在内部检测到感染之前就开始隔离。我们还表明,即使是少数宽松的政府(那些等到内部感染率达到一定水平才开始隔离的政府)也会给整个系统带来巨大的成本。我们的研究结果说明了理解跨政策边界传播的重要性,并为分散司法管辖区制定前瞻性政策提供了一个起点。