Author: Patrick Bryant; Arne Elofsson
Title: Estimating the impact of mobility patterns on COVID-19 infection rates in 11 European countries Document date: 2020_4_17
ID: emejt26r_2
Snippet: Google recently released a time-limited sharing of mobility data ( https://www.google.com/covid19/mobility/ ) from across the world as represented by summary statistics. This data will only be available for a short while with the aim to create research opportunities to combat COVID-19. The mobility data is measured in 6 different sectors: retail and recreation, grocery and pharmacy, parks, transit stations, workplace and residential. The effect o.....
Document: Google recently released a time-limited sharing of mobility data ( https://www.google.com/covid19/mobility/ ) from across the world as represented by summary statistics. This data will only be available for a short while with the aim to create research opportunities to combat COVID-19. The mobility data is measured in 6 different sectors: retail and recreation, grocery and pharmacy, parks, transit stations, workplace and residential. The effect of the government-issued NPIs will be manifested through changes in these patterns, which is utilized in our model.
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