This website contains our reports assessing changes in human mobility across the UK during the Covid-19 health crisis.

As of early April 2020, the number of cases of COVID-19 reported in the UK were more than 33,000, with more than 3,500 casualties. Folowing the lead of the countries that were the first to be impacted by the virus (China and Sounth Korea), countries around the world are limiting people's movement and implementing restriction measures to increase social distances and contain the spreading of the virus. A key indicator to evaluate the effectiveness of these restrictions and assess the compliance of the population is the reduction in mobility. Here, we will use a large, national-scale data set on human mobility, provided by oour collaboration with Cuebiq, to evaluate the adherence to these measures by the general population. Our analysis is based on similar projects carried out on Italian data Pepe E. et al. 2020 and US data Klein B. et al. 2020. We aim to provide and assess the changes in commuting and mobility at local authority level across the UK during the Covid-19 health crisis.

Articles

Peer-reviewed Paper: Santana, C., Botta, F., Barbosa, H. et al. COVID-19 is linked to changes in the time–space dimension of human mobility. Nature Human Behaviour, 7, 1729–1739 (2023). DOI:s41562-023-01660-3.

[Link to arXiv Paper] (19th January 2022).

Checkout out our paper which investigates the changes in the time-space dimension of human mobility during the COVID-19 pandemic.

Reports

[Link to the first report] (8th April 2020).

Analysis of human mobility in the UK during the COVID-19 pandemic.

[Link to the second report] (4th June 2020).

Analysis of socioeconomic aspects related to mobility patterns in the UK during the COVID-19 pandemic.

If you would like to reference this work, please cite our paper:
Santana, C., Botta, F., Barbosa, H. et al. COVID-19 is linked to changes in the time–space dimension of human mobility. Nature Human Behaviour, 7, 1729–1739 (2023). DOI:s41562-023-01660-3.

You can also find here the recording of an informal live discussion which we had on June 12th 2020 about the findings of our reports: [Link to live discussion].

Authors:

Clodomir Santana (1), Federico Botta (1,2), Hugo Barbosa (1), Filippo Privitera (3), Ronaldo Menezes (1,2) and Riccardo Di Clemente (1,2).

(1) Department of Computer Science, University of Exeter.
(2) The Alan Turing Institute, London.
(3) Cuebiq Inc.