The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
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.
Main Authors: | 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 |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2020-09-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-18190-5 |
Similar Items
-
Trip duration drives shift in travel network structure with implications for the predictability of spatial disease spread.
by: John R Giles, et al.
Published: (2021-08-01) -
Heterogeneous mobile phone ownership and usage patterns in Kenya.
by: Wesolowski, A, et al.
Published: (2012) -
Mobile phones and malaria: modeling human and parasite travel.
by: Buckee, C, et al.
Published: (2013) -
Mobile phones and malaria: Modeling human and parasite travel
by: Buckee, C, et al.
Published: (2013) -
The impact of biases in mobile phone ownership on estimates of human mobility.
by: Wesolowski, A, et al.
Published: (2013)