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arXiv · 2008.02117

Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing

Giacomo Cacciapaglia·Corentin Cot·Francesco Sannino
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Abstract

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.

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Giacomo Cacciapaglia, Corentin Cot, Francesco Sannino. 2020-08-05. Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing. https://arxiv.org/abs/2008.02117

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