Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing.
Sci Rep
; 11(1): 4150, 2021 02 18.
Article
in English
| MEDLINE | ID: covidwho-1091455
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. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20-40% in the infection rate in Europe and 30-70% in the US.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Quarantine
/
Cell Phone Use
/
COVID-19
Type of study:
Observational study
/
Reviews
Limits:
Humans
Country/Region as subject:
North America
/
Europa
Language:
English
Journal:
Sci Rep
Year:
2021
Document Type:
Article
Affiliation country:
S41598-021-83441-4
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