应对COVID-19的行为和政策:来自谷歌国家级居家令流动性数据的证据

HEN: Public Health (Topic) Pub Date : 2020-05-08 DOI:10.2139/ssrn.3596551

William J. Luther

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引用次数: 13

摘要

2020年初，许多州发布了居家令，以减缓COVID-19的传播。我分析谷歌流动性数据，以考虑州级居家令在多大程度上促使人们呆在家里。我发现，住宅、零售和娱乐、公园、工作场所、中转站以及(在较小程度上)杂货店和药房活动的大部分变化都先于国家级的“居家令”。

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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Behavioral and Policy Responses to COVID-19: Evidence from Google Mobility Data on State-Level Stay-at-Home Orders

In early 2020, many states issued stay-at-home orders to slow the spread of COVID-19. I analyze Google Mobility data to consider the extent to which state-level stay-at-home orders induced people to stay at home. I find that much of the change in residential, retail and recreational, park, workplace, transit station, and, to a lesser extent, grocery and pharmacy activity preceded state-level stay-at- home orders.

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HEN: Public Health (Topic)

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