The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
Date
2020Author
Grantz, Kyra H.
Meredith, Hannah R.
Cummings, Derek A. T.
Metcalf, C. Jessica E.
Grenfell, Bryan T.
Giles, John R.
Mehta, Shruti
Solomon, Sunil
Labrique, Alain
Kishore, Nishant
Buckee, Caroline O.
Wesolowski, Amy
Metadata
Show full item recordAbstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of
the use of mobile phone data in outbreak response. Mobile phone data have been proposed
to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of
spatiotemporal spread, and to support contact tracing efforts. While these data may be an
important part of COVID-19 response, their use must be considered alongside a careful
understanding of the behaviors and populations they capture. Here, we review the different
applications for mobile phone data in guiding and evaluating COVID-19 response, the relevance of these applications for infectious disease transmission and control, and potential
sources and implications of selection bias in mobile phone data. We also discuss best
practices and potential pitfalls for directly integrating the collection, analysis, and interpretation of these data into public health decision making.
Link to resource
https://doi.org/10.1038/s41467-020-18190-5Collections
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