Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK.
Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK.
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DOI：
10.12688/wellcomeopenres.15997.1
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发表时间：
2020-01-01
影响因子：
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通讯作者：
Riley, Steven
中科院分区：
文献类型：
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作者：
Jeffrey, Benjamin;Walters, Caroline E;Riley, Steven
背景：自2020年3月上旬以来，英国各地的COVID-19疫情引发了一系列社会疏远政策，导致不同地区之间的流动性减少。有关手机使用情况的人群水平数据可以用作实际人口流动模式的代理，并提供一种量化社交距离措施对流动性变化影响的方法。方法：在这里，我们使用两个基于手机的数据集（来自 O2 和手机上 Facebook 应用程序的匿名和聚合的人群水平数据）来评估平均流动性的变化，包括整体和细分为高和低人口密度区域的变化，以及旅程长度分布的变化。结果：我们显示，流动性总体大幅下降，其中下降最快的时间是 2020 年 3 月 24 日，即总理宣布强制封锁的第二天。英国各地流动性的减少高度同步。尽管自 2020 年 3 月 26 日以来流动性一直较低，但我们发现自那时以来流动性逐渐增加。我们还表明，两个不同的数据集产生相似的趋势，尽管存在一些特定位置的差异。我们看到高密度区域的平均流动性下降幅度略大于低密度区域，高密度区域的流动性变化更大：一些高密度区域几乎消除了所有流动性。结论：这些分析形成了一个基线，可以据此观察英国随着社交距离放松而发生的行为变化，并为英国未来控制 SARS-CoV-2 的政策提供信息。
Background: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which have resulted in reduced mobility across different regions. Crowd level data on mobile phone usage can be used as a proxy for actual population mobility patterns and provide a way of quantifying the impact of social distancing measures on changes in mobility. Methods: Here, we use two mobile phone-based datasets (anonymised and aggregated crowd level data from O2 and from the Facebook app on mobile phones) to assess changes in average mobility, both overall and broken down into high and low population density areas, and changes in the distribution of journey lengths. Results: We show that there was a substantial overall reduction in mobility, with the most rapid decline on the 24th March 2020, the day after the Prime Minister's announcement of an enforced lockdown. The reduction in mobility was highly synchronized across the UK. Although mobility has remained low since 26th March 2020, we detect a gradual increase since that time. We also show that the two different datasets produce similar trends, albeit with some location-specific differences. We see slightly larger reductions in average mobility in high-density areas than in low-density areas, with greater variation in mobility in the high-density areas: some high-density areas eliminated almost all mobility. Conclusions: These analyses form a baseline from which to observe changes in behaviour in the UK as social distancing is eased and inform policy towards the future control of SARS-CoV-2 in the UK.