Estimating the impact of mobility patterns on COVID-19 infection rates in 11 European countries.

ABSTRACT:

Background

As governments across Europe have issued non-pharmaceutical interventions (NPIs) such as social distancing and school closing, the mobility patterns in these countries have changed. Most states have implemented similar NPIs at similar time points. However, it is likely different countries and populations respond differently to the NPIs and that these differences cause mobility patterns and thereby the epidemic development to change.

Methods

We build a Bayesian model that estimates the number of deaths on a given day dependent on changes in the basic reproductive number, R ₀, due to differences in mobility patterns. We utilise mobility data from Google mobility reports using five different categories: retail and recreation, grocery and pharmacy, t

SUBMITTER: Bryant P 

PROVIDER: S-EPMC7500353 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature