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 |
|---|---|
| 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 |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| 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 |
|---|---|
| Last Modified | 08 Jul 2021 12:52 |
| Publisher | Github |
