Human mobility and COVID-19 initial dynamics
- PDF / 2,086,173 Bytes
- 19 Pages / 547.087 x 737.008 pts Page_size
- 24 Downloads / 208 Views
ORIGINAL PAPER
Human mobility and COVID-19 initial dynamics Stefano Maria Iacus · Carlos Santamaria · Francesco Sermi · Spyros Spyratos · Dario Tarchi · Michele Vespe
Received: 10 July 2020 / Accepted: 28 July 2020 © The Author(s) 2020
Abstract Countries in Europe took different mobility containment measures to curb the spread of COVID19. The European Commission asked mobile network operators to share on a voluntarily basis anonymised and aggregate mobile data to improve the quality of modelling and forecasting for the pandemic at EU level. In fact, 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 effectively contribute to save lives. It also emerges that internal mobility is more important than mobility across provinces and that the typical lagged positive effect of reduced S. M. Iacus (B)· C. Santamaria · F. Sermi · S. Spyratos · D. Tarchi · M. Vespe Joint Research Centre, Via Enrico Fermi 2749, 21027 Ispra, VA, Italy e-mail: [email protected]
human mobility on reducing excess deaths is around 14–20 days. An analogous analysis relative to Spain, for which an IgG SARS-Cov-2 antibody screening study at province level is used instead of excess deaths statistics, confirms the findings. The same approach adopted in this study can be easily extended to other European countries, as soon as reliable data on the spreading of the virus at a suitable level of granularity will be available. Looking at past data, relative to the initial phase of the outbreak in EU Member States, this study shows in which extent the spreading of the virus and human mobility are connected. The findings will support policymakers in formulating the best data-driven approaches for coming out of confinement and mostly in building future scenarios in case of new outbreaks. Keywords COVID-19 dynamics · Coronavirus · Human mobility · Mobility data
1 Introduction By means of a letter sent on 8 April 2020, the European Commission asked European mobile network operators (MNOs) to share fully anonymised aggregate mobility data to deliver insights to help fight COVID-19. The aim of the initiative is further specified by the recommendation to support exit strategies policies through mobile data and apps [5] with data-
Data Loading...
