COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown

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 outb...

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Bibliographic Details
Published in:Scientific data 2020-07, Vol.7 (1), p.230-230, Article 230
Main Authors: Pepe, Emanuele, Bajardi, Paolo, Gauvin, Laetitia, Privitera, Filippo, Lake, Brennan, Cattuto, Ciro, Tizzoni, Michele
Format: Article
Language:English
Subjects:
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692/700/478/174
Betacoronavirus
Communicable Disease Control - methods
Coronavirus Infections - epidemiology
Coronaviruses
COVID-19
Data Descriptor
Datasets
Decision making
Epidemics
Geographic Information Systems
Humanities and Social Sciences
Humans
Italy - epidemiology
Mobility
multidisciplinary
Pandemics
Pneumonia, Viral - epidemiology
Public health
SARS-CoV-2
Science
Science (multidisciplinary)
Smartphone
Social Isolation
Travel - statistics & numerical data
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Summary: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: https://doi.org/10.6084/m9.figshare.12515256
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-00575-2