Using Vodafone mobile phone network data to provide insights into citizens mobility in Italy during the Coronavirus outbreak

Author:

Calabrese Francesco,Cobelli Enrico,Ferraiuolo Vincenzo,Misseri Giovanni,Pinelli FabioORCID,Rodriguez Daniel

Abstract

Abstract In this paper, we present the work conducted by Vodafone to enrich the understanding of people movement in Italy during the outbreak of the Coronavirus in 2020, and the tool developed to support the decisions taken by the authorities during that period. We have developed a solution to anonymously monitor the daily movements of Vodafone SIMs in Italy, at aggregate level, at different spatial and temporal granularity, to provide insights into the movements of Italians.

Publisher

Cambridge University Press (CUP)

Subject

General Medicine

Reference12 articles.

1. European Commission (2020) Mapping Mobility Functional Areas (MFA) Using Mobile Positioning Data to Inform COVID-19 Policies. Available at https://ec.europa.eu/jrc/en/publication/mapping-mobility-functional-areas-mfa-using-mobile-positioning-data-inform-covid-19-policies (accessed 13 October 2020).

2. Google (2020) Community Mobility Reports. Available at https://www.google.com/covid19/mobility/ (accessed 13 October 2020).

3. Reuters (2020) European Mobile Operators Share Data for Coronavirus Fight. Available at https://www.reuters.com/article/us-health-coronavirus-europe-telecoms-idUSKBN2152C2 (accessed 13 October 2020).

4. Understanding individual human mobility patterns

5. Comparing Urban Sensing Applications Using Event and Network-Driven Mobile Phone Location Data

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