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.
@article{arxiv.2008.02117,
title = {Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing},
author = {Giacomo Cacciapaglia and Corentin Cot and Francesco Sannino},
journal= {arXiv preprint arXiv:2008.02117},
year = {2020}
}
Comments
10 pages, 2 figures, supplementary material included (4 figures and 4 tables)