Oxford COVID-19 Impact Monitor
The 'Oxford COVID-19 Impact Monitor' project develops an online interactive digital dashboard showing changes in people's everyday mobility during the COVID-19 outbreak since 3 March 2020. It hopes to shed light on the relationships between mobility, infection and demand for hospital beds and ventilators. Using big data analytics the project is a collaborative effort of University of Oxford researchers across multiple departments. The online dashboard is publicly accessible and updated on the basis of daily, anonymised and aggregated mobile phone location data.
In this project, Won Do Lee is responsible for the collection and development of the geographical datasets; these include data about essential premises that have remained open during the UK's national lock-down, such as supermarkets, parks, and hospitals. He has also been pushing the research team to focus the estimation of the mobility indicators on the spatial scales and zones that are used by stakeholders, such as the NHS hospital catchment areas which are used by clinical commissioning groups in NHS England.
Won Do Lee seeks to the differences of everyday mobility patterns between socioeconomic deprivation levels, in terms of the comparison of daily activity-travel radius between poor and wealthy area, in further study. Inspired by the recent ONS working report; to examine the differences of COVID-19 deaths by local area and socioeconomic deprivation. He initialised to explore the various daily mobility metrics over the distribution of income deprivation across England. In short, Won Do Lee has indicated that affluent area likely to have extensive activity spaces relative to poor people. Won Do Lee is currently examining and model the spatial and temporal variation of the reduction of everyday mobilities by socioeconomic status and deprivation indices. It can lead to identifying the mediating role of everyday mobility to postulate the fluctuation of COVID-19 hospitalisations and deaths in spatially and temporally.
This project has so far revealed the profound reduction of population movement in response to the Government's social distancing rulings and is beginning to provide important insights to relevant stakeholders who are developing their strategies for dealing with COVID-19.
Cited in academic paper:
- Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Delataille, S., De Nadai, M., et al. (2020) Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances, 0764, eabc0764.
- The mobile phone data that shows coronavirus bringing Britain to a halt, Olivia Rudgard, The Telegraph, 15/04/20.
- Movement of people across the UK has dropped by a staggering 98 per cent since social distancing measures were introduced in March, new tracking tool reveals - and the best time to visit a supermarket is 9am on a Tuesday, Ryan Morrison, Daily Mail, 15/04/20.
- Oxford researchers use mobile data to track coronavirus UK impact, Erin Lyons, Oxford Mail, 15/04/20.
For more information on this research project please contact Dr Won Do Lee.
Matthias Qian (Department of Economics, University of Oxford)
Adam Saunders (SKOPE, Department of Education, University of Oxford)
Daniel Pesch (Saïd Business School, University of Oxford)
Steven Reece (Department of Engineering Science, University of Oxford)
Xiaowen Dong (Department of Engineering Science, University of Oxford)
Renaud Lambiotte (Mathematical Institute, University of Oxford)
Lucas Kruitwagen (School of Geography and the Environment, University of Oxford)
TSU Principal Investigator
Dr Won Do Lee
Dr Won Do Lee