Human mobility and COVID-19 initial dynamics
Stefano Maria Iacus, Carlos Santamaria, Francesco Sermi and, Spyridon Spyratos, Dario Tarchi, Michele Vespe

TL;DR
This study demonstrates that human mobility data can explain up to 92% of the initial COVID-19 spread in EU countries, highlighting the effectiveness of mobility restrictions and the importance of internal mobility in controlling the pandemic.
Contribution
It provides a systematic analysis linking mobility data with COVID-19 spread at a European level, using excess deaths and antibody data, and shows the potential for extending this approach to other countries.
Findings
Mobility explains up to 92% of initial virus spread in France and Italy.
Mobility restrictions contributed to saving lives by reducing spread.
Internal mobility has a greater impact than cross-regional mobility.
Abstract
Mobility data at EU scale can help understand the dynamics of the pandemic and possibly limit the impact of future waves. Still, since a reliable and consistent method to measure the evolution of contagion at international level is missing, a systematic analysis of the relationship between human mobility and virus spread has never been conducted. A notable exceptions are France and Italy, for which data on excess deaths, an indirect indicator which is generally considered to be less affected by national and regional assumptions, are available at department and municipality level, respectively. Using this information together with anonymised and aggregated mobile data, this study shows that mobility alone can explain up to 92% of the initial spread in these two EU countries, while it has a slow decay effect after lockdown measures, meaning that mobility restrictions seem to have…
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