论文标题

部分可观测时空混沌系统的无模型预测

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

论文作者

Klein, Brennan, LaRock, Timothy, McCabe, Stefan, Torres, Leo, Friedland, Lisa, Kos, Maciej, Privitera, Filippo, Lake, Brennan, Kraemer, Moritz U. G., Brownstein, John S., Gonzalez, Richard, Lazer, David, Eliassi-Rad, Tina, Scarpino, Samuel V., Vespignani, Alessandro, Chinazzi, Matteo

论文摘要

COVID-19大流行提供了一个前所未有的自然实验,为外生(政府强制性)和内源性(对感染风险的自发反应)起源的集体行为变化的出现提供了见解。在这里,我们表征了集体的物理距离 - 降低活动性,最小化接触率,接触持续时间的缩短 - 响应于疫苗前时代的Covid-19,通过分析超过550万个匿名化的超过550万个匿名化的面板,可通过分析识别的,隐私的保护位置数据。我们定义了用户的活动性和接近性的五个指标,以调查新兴的集体行为如何偏离典型的大流行前大流行前模式。我们分析了由于政府要求缓解政策而引起的巨大变化,以及在2020年秋季定义的新的(物理距离)正常的社会适应性。此处定义的指标允许量化农村/城市鸿沟的行为变化,并在统计上的统计结合和统一性指标和公共统计学构成社交和庞大的疾病范围内的统计指标和庞大的社会表现出庞大的疾病和庞大的疾病。这项研究提供了一个框架来研究大规模的社会疏远现象,并在国家和国际一级分析和监测大流行计划的影响方面的潜在用途。

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin. Here, we characterize collective physical distancing -- mobility reductions, minimization of contacts, shortening of contact duration -- in response to the COVID-19 pandemic in the pre-vaccine era by analyzing de-identified, privacy-preserving location data for a panel of over 5.5 million anonymized, opted-in U.S. devices. We define five indicators of users' mobility and proximity to investigate how the emerging collective behavior deviates from the typical pre-pandemic patterns during the first nine months of the COVID-19 pandemic. We analyze both the dramatic changes due to the government mandated mitigation policies and the more spontaneous societal adaptation into a new (physically distanced) normal in the fall 2020. The indicators defined here allow the quantification of behavior changes across the rural/urban divide and highlight the statistical association of mobility and proximity indicators with metrics characterizing the pandemic's social and public health impact such as unemployment and deaths. This study provides a framework to study massive social distancing phenomena with potential uses in analyzing and monitoring the effects of pandemic mitigation plans at the national and international level.

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