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Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing (2008.02117v2)

Published 5 Aug 2020 in physics.soc-ph and cs.SI

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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Authors (3)
  1. Giacomo Cacciapaglia (107 papers)
  2. Corentin Cot (14 papers)
  3. Francesco Sannino (207 papers)
Citations (12)

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