Italy has been severely affected by the COVID-19 pandemic, reporting the highest death toll in Europe as of April 2020. Following the identification of the first infections, on February 21, 2020, national authorities have put in place an increasing number of restrictions aimed at containing the outbreak and delaying the epidemic peak. On March 12, the government imposed a national lockdown. To aid the evaluation of the impact of interventions, we present daily time-series of three different aggregated mobility metrics: the origin-destination movements between Italian provinces, the radius of gyration, and the average degree of a spatial proximity network. All metrics were computed by processing a large-scale dataset of anonymously shared positions of about 170,000 de-identified smartphone users before and during the outbreak, at the sub-national scale. This dataset can help to monitor the impact of the lockdown on the epidemic trajectory and inform future public health decision making. Measurement(s) mobility Technology Type(s) GPS navigation system Factor Type(s) temporal interval Sample Characteristic – Organism Homo sapiens Sample Characteristic – Location Italy Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12515256
【저자키워드】 viral infection, Epidemiology, Lifestyle modification, 【초록키워드】 public health, Europe, lockdown, COVID-19 pandemic, technology, Italy, infections, outbreak, Metadata, death, trajectory, location, dataset, Government, Metrics, Factor, average, help, National, radius of gyration, MONITOR, Italian, the epidemic, highest, affected, Sample, reported, anonymously, Homo sapien, 【제목키워드】 lockdown, Italy, COVID-19 outbreak, dataset, National, changes in,