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arXiv 2008.02117physics.soc-phcs.SI
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Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing

Giacomo Cacciapaglia, Corentin Cot, Francesco Sannino

英文摘要:

We employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Interestingly we observe a general decrease in the infection rate occurring two to five weeks after the onset of mobility reduction for the European countries and the American states.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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