Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ. 2020. UK Colocation Dashboard. [Online]. Github. Available from: https://cmmid.github.io/colocation_dashboard_cmmid/
Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ. UK Colocation Dashboard [Internet]. Github; 2020. Available from: https://cmmid.github.io/colocation_dashboard_cmmid/
Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ (2020). UK Colocation Dashboard. [Data Collection]. Github. https://cmmid.github.io/colocation_dashboard_cmmid/
Description
Facebook uses anonymized mobile phone location data to understand the probability of "colocation" between administrative areas over time -- a proxy for social contact. Use this dashboard to explore the network of colocation probabilities in the UK. Colocation is defined as two individuals within the same ~0.6 by ~0.6 km area during the same five minute period in a given week.
Keywords
Data capture method | Aggregation |
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Date (Date published in a 3rd party system) | 20 May 2020 |
Language(s) of written materials | English |
Data Creators | Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 22 May 2020 16:24 |
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Last Modified | 08 Jul 2021 12:52 |
Publisher | Github |