The QCovid tool was developed by scientists in 2020 to identify risk factors for COVID-19 severe disease and death.
The scientists have now developed a new algorithm which aims to predict which groups of people are most at risk of serious Covid-19 outcomes despite being double vaccinated.
Their study is published in the BMJ.
Journalists dialled in to this briefing to hear the scientists explain their study and the tool and discuss aspects such as:
– how many people in this dataset died with COVID-19 despite having been vaccinated?
– which groups of vaccinated people were more likely to become severely ill or die with COVID-19?
– which comorbidities were associated with increased risk of COVID-19 severe disease or death?
– how does the prediction tool work?
Prof Julia Hippisley-Cox, Professor of Clinical Epidemiology and General Practice, University of Oxford
Prof Aziz Sheikh, Professor of Primary Care Research & Development, and Director of the Usher Institute, University of Edinburgh
Prof Carol Coupland, Professor of Medical Statistics in Primary Care, University of Nottingham; and senior researcher, University of Oxford
This Briefing as accompanied by an SMC Roundup of Comments