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A data-driven risk prediction model for individualised shielding advice.

We are developing a data-driven risk prediction model for COVID-19, supported by NHS Digital. This new model could be applied in a variety of health and care settings, including supporting GPs and specialists in consultations with their patients to provide more targeted and individualised advice based on individual levels of risk. 

The tool will be developed based on an analysis of the anonymised electronic health records of 8 million adults in the UK, accessed through the QResearch database. The data will be analysed to identify factors that can be used to predict those at highest risk of infection and serious illness from COVID-19. 

The project was commissioned from the Office of the Chief Medical Officer for England involves partners from across the UK.

Project lead: Professor Julia Hippisley-Cox

Research Group: Primary Care Epidemiology / QResearch

Funding: National Institute for Health Research, University of Oxford COVID-19 Rapid Response Fund

Learn more here