The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology

Kyra H. Grantz; Hannah R. Meredith; Derek A. T. Cummings; C. Jessica E. Metcalf; Bryan T. Grenfell; John R. Giles; Shruti Mehta; Sunil Solomon; Alain Labrique; Nishant Kishore; Caroline O. Buckee; Amy Wesolowski

doi:10.1038/s41467-020-18190-5

Nature Communications (Sep 2020)

The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology

Kyra H. Grantz,
Hannah R. Meredith,
Derek A. T. Cummings,
C. Jessica E. Metcalf,
Bryan T. Grenfell,
John R. Giles,
Shruti Mehta,
Sunil Solomon,
Alain Labrique,
Nishant Kishore,
Caroline O. Buckee,
Amy Wesolowski

Affiliations

Kyra H. Grantz: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Hannah R. Meredith: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Derek A. T. Cummings: Department of Biology and the Emerging Pathogens Institute, University of Florida
C. Jessica E. Metcalf: Department of Ecology and Evolutionary Biology and the Woodrow Wilson School of International and Public Affairs, Princeton University
Bryan T. Grenfell: Department of Ecology and Evolutionary Biology and the Woodrow Wilson School of International and Public Affairs, Princeton University
John R. Giles: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Shruti Mehta: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Sunil Solomon: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Alain Labrique: Department of International Health, Johns Hopkins Bloomberg School of Public Health
Nishant Kishore: Department of Epidemiology and the Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health
Caroline O. Buckee: Department of Epidemiology and the Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health
Amy Wesolowski: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health

DOI: https://doi.org/10.1038/s41467-020-18190-5
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 8

Abstract

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In this Perspective, the authors review the different applications for mobile phone data to support COVID-19 pandemic response, the relevance of these applications for infectious disease transmission and control, and potential sources and implications of selection bias in mobile phone data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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