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Measuring the Impact of COVID-19 Restrictions on Mobility: A Real Case Study from Italy
Claudia Cavallaro,Armir Bujari,Luca Foschini,Giuseppe Di Modica,Paolo Bellavista 한국통신학회 2021 Journal of communications and networks Vol.23 No.5
When COVID-19 first struck the provinces of NorthernItaly in early 2020 (especially in Lombardy and in Emilia-Romagna), the conditions there made it a perfect storm. Thevirus outbreak spread with an unusual violence (in the periodfrom late February to April 2020), with a catastrophic toll interms of human deaths. Taken by surprise, Italy mandated acomplete nation-wide lockdown, successively resorting to ministerialdecrees alleviating and postponing the restrictions. Now more than ever, there is an increased awareness onICT used to combat the pandemic. In this article, we presenta quantitative analysis evidencing the impact of restrictions onmobility. To this end, we rely on a vehicular mobility datasetconfined in the downtown area of Bologna, Italy. Pursuingthe objective, we propose a modified version of a state-of-theartdata mining algorithm, allowing us to efficiently identifyand quantify mobility flows. The proposal, if combined withadditional data sources, could allow for a fine-grained and timelydecision making, combating the pandemic.