Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing
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..
Medienart: |
Preprint |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
arXiv.org - (2020) vom: 05. Aug. Zur Gesamtaufnahme - year:2020 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Cacciapaglia, Giacomo [VerfasserIn] |
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Links: |
Volltext [kostenfrei] |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
XAR018510507 |
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