Impacts of social distancing policies on mobility and COVID-19 case growth in the US.
Impacts of social distancing policies on mobility and COVID-19 case growth in the US.
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社会疏远政策对美国流动性和共同病例增长的影响。
DOI：
10.1038/s41467-021-23404-5
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发表时间：
2021-05-25
影响因子：
16.6
通讯作者：
Gabrilovich E
中科院分区：
文献类型：
--
作者：
Wellenius GA;Vispute S;Espinosa V;Fabrikant A;Tsai TC;Hennessy J;Dai A;Williams B;Gadepalli K;Boulanger A;Pearce A;Kamath C;Schlosberg A;Bendebury C;Mandayam C;Stanton C;Bavadekar S;Pluntke C;Desfontaines D;Jacobson BH;Armstrong Z;Gipson B;Wilson R;Widdowson A;Chou K;Oplinger A;Shekel T;Jha AK;Gabrilovich E
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Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories have not been completely quantified. Using anonymized and aggregated mobility data from opted-in Google users, we found that state-level emergency declarations resulted in a 9.9% reduction in time spent away from places of residence. Implementation of one or more social distancing policies resulted in an additional 24.5% reduction in mobility the following week, and subsequent shelter-in-place mandates yielded an additional 29.0% reduction. Decreases in mobility were associated with substantial reductions in case growth two to four weeks later. For example, a 10% reduction in mobility was associated with a 17.5% reduction in case growth two weeks later. Given the continued reliance on social distancing policies to limit the spread of COVID-19, these results may be helpful to public health officials trying to balance infection control with the economic and social consequences of these policies. In response to COVID-19, many states have implemented social distancing orders, but the effect of these orders on population mobility has not been fully quantified. Here, the authors use data from the US to show that state-level social distancing orders substantially reduced mobility and limited the spread of disease.
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影响因子：
9.8
作者：
Fang H;Wang L;Yang Y
通讯作者：
Yang Y
影响因子：
7.7
作者：
Peak CM;Wesolowski A;Zu Erbach-Schoenberg E;Tatem AJ;Wetter E;Lu X;Power D;Weidman-Grunewald E;Ramos S;Moritz S;Buckee CO;Bengtsson L
通讯作者：
Bengtsson L
影响因子：
56.3
作者：
Badr, Hamada S.;Du, Hongru;Gardner, Lauren M.
通讯作者：
Gardner, Lauren M.
影响因子：
9.7
作者：
Courtemanche, Charles;Garuccio, Joseph;Yelowitz, Aaron
通讯作者：
Yelowitz, Aaron
DOI：
10.1073/pnas.2007658117
发表时间：
2020-07-07
影响因子：
11.1
作者：
Bonaccorsi, Giovanni;Pierri, Francesco;Pammolli, Fabio
通讯作者：
Pammolli, Fabio