November 2021: External validation of the QCovid risk prediction algorithm using the EAVE II dataset External validation of the QCovid risk prediction algorithm for risk of COVID-19 hospitalisation and mortality in adults: national validation cohort study in Scotland Simpson CR, Robertson C, Kerr S, et al. Read the paper Thorax Published Online First: 15 November 2021 Available via Thorax: https://doi.org/10.1136/thoraxjnl-2021-217580 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. QResearch at The University of Oxford QCOVID risk calculator Open Access Publication of the Month This paper was selected as January 2022's Open Access Publication of the Month by the Health Data Research UK's (HDR UK) Early Career's Committee. View Open Access Publication of the Month - January 2022 Each month the committee examines dozens of published articles and pre-prints, that have been made open access, against the HDR UK's ethos: research quality, team science, scale, open science, patient and public involvement, patient impact, and equality, diversity and inclusion. For more information, please visit the HDR UK website. Health Data Research UK Health Data Research UK's Early Career's Committee This article was published on 2024-09-24
