Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
Name
sciadv.abc0764.full.pdf
Size
677.89 KB
Format
Adobe PDF
Checksum (MD5)
709603a42d263c67202befc9d1e85879
Author(s)
Oliver, Nuria
Lepri, Bruno
Sterly, Harald
Lambiotte, Renaud
Delataille, Sébastien
De Nadai, Marco
Letouzé, Emmanuel
Salah, Albert Ali
Benjamins, Richard
Cattuto, Ciro
Date Issued
April 2020
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Oliver, Nuria et al. "Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle." Science Advances (April 2020): eabc0764 © 2020 The Authors
Version
Final published version
Abstract
The coronavirus 2019-2020 pandemic (COVID-19) poses unprecedented challenges for governments and societies around the world (1). Non-pharmaceutical interventions (NPIs) have proven to be critical for delaying and containing the COVID-19 pandemic (2–6). This includes testing and tracing, bans on large gatherings, non-essential business and school and university closures, international and domestic mobility restrictions and physical isolation, and total lockdowns of regions and countries. Decision-making and evaluation or such interventions during all stages of the pandemic lifecycle require specific, reliable and timely data not only about infections, but also about human behavior, especially mobility and physical co-presence. We argue that mobile phone data, when used properly and carefully, represents a critical arsenal of tools for supporting public health actions across early, middle, and late-stage phases of the COVID-19 pandemic.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1126/sciadv.abc0764
