Our multidisciplinary researchers are working to better understand, diagnose and treat COVID-19 in the community. These brief project summaries link out to further information where it is available.
The world's largest clinical trial of COVID-19 treatments for recovery at home, focusing on those most at risk of serious illness from COVID-19.
CONDOR provides a single national route to evaluate new diagnostic tests for COVID-19.
OpenSAFELY delivers urgent results during the global COVID-19 emergency and demonstrates the power of modern, open computational data science techniques for healthcare
Community surveillance of COVID-19 and research in partnership with GP practices.
Rapid evidence reviews, data analysis and thought-provoking writing relating to the coronavirus pandemic.
A data-driven risk prediction model for individualised shielding advice.
This study will see if it is feasible and acceptable for groups of University of Oxford students and staff, who don’t have COVID-19 symptoms, to test themselves, or be tested, regularly and properly, to understand the results, and to self-isolate if they are positive.
RAPTOR-C19 is assessing the accuracy of different rapid tests for COVID-19 for patients in the community. The study aims to determine whether rapid tests, which give results within minutes/hours, are as accurate as standard laboratory tests.
Addressing the micro, meso-, and macro-level challenges of a radical new service model
Learning how NHS111 and out of hours services have been advising the public about what to do about coronavirus infection and inform how they can best deliver these services in the future.