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.

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fa42ad65c279487e8386d557f0ac90fa
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spelling	oai:doaj.org-article:fa42ad65c279487e8386d557f0ac90fa2021-12-02T17:37:42ZThe use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology10.1038/s41467-020-18190-52041-1723https://doaj.org/article/fa42ad65c279487e8386d557f0ac90fa2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18190-5https://doaj.org/toc/2041-1723In 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.Kyra H. GrantzHannah R. MeredithDerek A. T. CummingsC. Jessica E. MetcalfBryan T. GrenfellJohn R. GilesShruti MehtaSunil SolomonAlain LabriqueNishant KishoreCaroline O. BuckeeAmy WesolowskiNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
description	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.
format	article
author	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
author_facet	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
author_sort	Kyra H. Grantz
title	The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
title_short	The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
title_full	The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
title_fullStr	The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
title_full_unstemmed	The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
title_sort	use of mobile phone data to inform analysis of covid-19 pandemic epidemiology
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/fa42ad65c279487e8386d557f0ac90fa
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The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology

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