Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
- Author(s)
- Nuria Oliver, Bruno Lepri, Harald Sterly, Renaud Lambiotte, Sébastien Delataille, Marco De Nadai, Emmanuel Letouzé, Albert Ali Salah, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas de Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N Pham, Frédéric Pivetta, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan Verhulst, Patrick Vinck
- Organisation(s)
- Department of Geography and Regional Research
- External organisation(s)
- European Laboratory for Learning and Intelligent Systems, Data-Pop Alliance, Mobile and Social Computing Lab (MobS), Fondazione Bruno Kessler (FBK), Trento, Italy., University of Oxford, The Alan Turing Institute, Utrecht University, University of Turin, Harvard University, New York University, Istituto per l'Interscambio Scientifico, Université Paris IV - Paris-Sorbonne, Freie Universität Berlin (FU), Technical University of Denmark (DTU), Banco Bilbao Vizcaya Argentaria, Massachusetts Institute of Technology, Dalberg Data Insights, Aalto University, Northeastern University, Rosa ASBL, Telefónica, Observatorio del impacto social y ético de la inteligencia artificial, Orange S.A.
- Journal
- Science Advances
- Volume
- 6
- No. of pages
- 6
- ISSN
- 2375-2548
- DOI
- https://doi.org/10.1126/sciadv.abc0764
- Publication date
- 06-2020
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 507002 Population geography
- Keywords
- Sustainable Development Goals
- SDG 3 - Good Health and Well-being
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/ea0b5bd2-e52a-4d95-bb9e-e4ab48fc74d0