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: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-18190-5 |
| _version_ | 1818347520548405248 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T17:35:28Z |
| format | Article |
| id | doaj.art-fa42ad65c279487e8386d557f0ac90fa |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-13T17:35:28Z |
| publishDate | 2020-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-fa42ad65c279487e8386d557f0ac90fa2022-12-21T23:36:57ZengNature PortfolioNature Communications2041-17232020-09-011111810.1038/s41467-020-18190-5The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiologyKyra H. Grantz0Hannah R. Meredith1Derek A. T. Cummings2C. Jessica E. Metcalf3Bryan T. Grenfell4John R. Giles5Shruti Mehta6Sunil Solomon7Alain Labrique8Nishant Kishore9Caroline O. Buckee10Amy Wesolowski11Department of Epidemiology, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public HealthDepartment of Biology and the Emerging Pathogens Institute, University of FloridaDepartment of Ecology and Evolutionary Biology and the Woodrow Wilson School of International and Public Affairs, Princeton UniversityDepartment of Ecology and Evolutionary Biology and the Woodrow Wilson School of International and Public Affairs, Princeton UniversityDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public HealthDepartment of International Health, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology and the Center for Communicable Disease Dynamics, Harvard TH Chan School of Public HealthDepartment of Epidemiology and the Center for Communicable Disease Dynamics, Harvard TH Chan School of Public HealthDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public HealthIn 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.https://doi.org/10.1038/s41467-020-18190-5 |
| spellingShingle | 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 Nature Communications |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41467-020-18190-5 |
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