Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing
August 05, 2020 Β· Declared Dead Β· + Add venue
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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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