New QCovid tool predicts vulnerabilities to COVID-19 in the vaccinated population

21 Sep 2021

Written by Darcy Hodge, Editor

Artificial intelligence and machine learning COVID-19 Medical devices, pharmaceuticals and vaccines Methodology News Real-world evidence

A new algorithm, developed by researchers from the University of Oxford (UK), may provide insight on the impact vaccinations have on risk of hospitalization from COVID-19. Published in the British Medical Journal, the pre-existing tool QCovid has been adapted to predict those at risk two weeks after vaccination. Following development over 2020, the QCovid tool has been a vital asset in informing UK COVID-19 policy. Due to abilities in identifying risk, the tool influenced the number of individuals asked to shield in February 2021. The latest developments employed real-world evidence, including national databases, COVID-19 immunization and testing records, death registries and hospital data. ...