Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from COVID-19 in adults: national derivation and validation cohort study
October 2020: A study to derive and validate a risk prediction algorithm to estimate hospital admission and mortality outcomes from COVID-19 in adults.
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
Clift Ash K, Coupland Carol A C, Keogh Ruth H, Diaz-Ordaz Karla, Williamson Elizabeth, Harrison Ewen M et al.
BMJ 2020; 371 :m3731 doi: 10.1136/bmj.m3731
What is QCovid® ?
QCovid® is an evidence-based model that uses a range of factors such as age, sex, ethnicity and existing medical conditions to predict risk of death or hospitalisation from COVID-19. It provides nuanced information on people’s risk of serious illness due to COVID-19 and has the potential to help patients and doctors reach a shared understanding of risk. It is a 'living' risk prediction model which will be updated regularly as our understanding of COVID-19 increases and more data become available.
The QCovid® algorithm was developed as part of the QResearch programme at The University of Oxford.
The EAVE II team contributed to the validation of this algorithm.