Impacts of State-Level Policies on Social Distancing in the United States Using Aggregated Mobility Data during the COVID-19 Pandemic
Impacts of State-Level Policies on Social Distancing in the United States Using Aggregated Mobility Data during the COVID-19 Pandemic
复制标题
使用 COVID-19 大流行期间汇总的流动性数据，了解美国州级政策对社交距离的影响
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Riccardo Di Clemente
中科院分区：
文献类型：
--
作者：
Clodomir Santana;Federico Botta;Hugo Barbosa;Filippo Privitera;Ronaldo;Menezes;Riccardo Di Clemente
社交距离已成为美国抗击 COVID-19 大流行的主要缓解策略。然而，缺乏对公众对社会疏远运动反应的大规模评估。我们使用来自 Google 位置记录用户的匿名和汇总的移动数据来估计社交距离建议对选择使用此服务的用户的批量移动的影响。我们发现，紧急状态声明导致离开居住地的时间减少了约 10%。一项或多项社交距离政策的实施导致接下来一周的流动性额外减少了 25%。随后的就地避难令又减少了 29%。我们的研究结果证明，全州范围内的强制规定在促进该研究小组内的社交距离方面是有效的。
Social distancing has emerged as the primary mitigation strategy to combat the COVID-19 pandemic in the United States. However, large-scale evaluation of the public's response to social distancing campaigns has been lacking. We used anonymized and aggregated mobility data from Google Location History users to estimate the impact of social distancing recommendations on bulk mobility among users who have opted into this service. We found that state-of-emergency declarations resulted in approximately a 10% reduction in time spent away from places of residence. Implementation of one or more social distancing policies resulted in an additional 25% reduction in mobility the following week. Subsequent shelter-in-place mandates provided an additional 29% reduction. Our findings provide evidence that state-wide mandates are effective in promoting social distancing within this study group.