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

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Authors Giacomo Cacciapaglia, Corentin Cot, Francesco Sannino arXiv ID 2008.02117 Category physics.soc-ph Cross-listed cs.SI Citations 13 Last Checked 3 months ago
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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