Dr Won Do Lee has been involved in a research project entitled Oxford COVID-19 Impact Monitor. It seeks to develop an online interactive digital dashboard and involves collaboration with Oxford University researchers across several departments.
This project observes changes in the everyday mobilities of people in times of COVID-19 outbreak. This project implemented Big data analytics using mobility patterns to understand, predict, and control the course of COVID-19. The online dashboards are publicly accessible and updated by daily, anonymised, and aggregated mobile phone location data since 1 Mar 2020.
In this project, Won Do Lee contributed to the collection and development of the geographical datasets; included data about essential premises to remain open across the whole UK, such as supermarkets, parks, and hospitals. Won Do was also an advocate in how to estimate the mobility indicators in a different spatial granularity of geographical context, specifically at the local and regional levels for NHS hospital catchment areas, such as clinical commissioning groups in NHS England. This project revealed the profound reduction of population movement as a response to Government's social distancing rulings and moves towards the provision of a responsible approach for policymakers and clinicians to provide the actionable insights for their strategies to fight COVID-19.
Won Do Lee is currently exploring the differences of the everyday mobilities by implemented metric (i.e. activity space and daily travel radius) in English indices of deprivation. In the following analysis, Won Do Lee will develop the spatio-temporal regression model to estimate the causal effect of the sociodemographic deprivation indices on the shrinking of everyday mobilities in times of the outbreak.