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 Deletaille,
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 M. Murillo,
Alex Pentland,
Phuong Pham,
Frédéric Pivetta,
Jari Saramäki,
Samuel V. Scarpino,
Michele Tizzoni,
Stefaan Verhulst,
Patrick Vinck
Publication year - 2020
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.abc0764
Subject(s) - pandemic , covid-19 , public health , mobile phone , psychological intervention , isolation (microbiology) , phone , political science , business , internet privacy , geography , computer science , medicine , telecommunications , biology , virology , infectious disease (medical specialty) , disease , nursing , linguistics , philosophy , pathology , outbreak , microbiology and biotechnology
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.Seminal work on human mobility has shown that aggregate and (pseudo-)anonymized mobile phone data can assist the modeling of the geographical spread of epidemics ( 7 – 11 ). Thus, researchers and governments have started to collaborate with private companies, most notably mobile network operators and location intelligence companies, to estimate the effectiveness of control measures in a number of countries, including Austria, Belgium, Chile, China, Germany, France, Italy, Spain, UK and the US ( 12 – 21 ).There is, however, little coordination or information exchange between these national or even regional initiatives ( 22 ). Although ad hoc mechanisms leveraging mobile phone data can be effectively (but not easily) developed at the local or national level, regional or even global collaborations seem to be much more difficult given the number of actors, the range of interests and priorities, the variety of legislations concerned, and the need to protect civil liberties. The global scale and spread of the COVID-19 pandemic highlight the need for a more harmonized or coordinated approach.In the following sections, …
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