UK Colocation Dashboard
Gibbs, H
, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ
(2020).
UK Colocation Dashboard.
[Dataset].
Github.
https://cmmid.github.io/colocation_dashboard_cmmid/
, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ
(2020).
UK Colocation Dashboard.
[Dataset].
Github.
https://cmmid.github.io/colocation_dashboard_cmmid/
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
COVID-19, Colocation, Facebook, Social media, Mobile phone, Coronavirus| Item Type | Dataset |
|---|---|
| Capture method | Aggregation |
| Date | 20 May 2020 |
| Language(s) of written materials | English |
| Creator(s) |
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 |
No files available. Please consult associated links.
Downloads
