TY - JOUR
AU - Lyons, Jane
AU - Nafilyan, Vahé
AU - Akbari, Ashley
AU - Bedston, Stuart
AU - Harrison, Ewen M.
AU - Hayward, Andrew C.
AU - Hippisley-Cox, Julia
AU - Kee, Frank
AU - Khunti, Kamlesh
AU - Rahman, Shamim
AU - Sheikh, Aziz
AU - Torabi, Fatemeh
AU - Lyons, Ronan A.
PY - 2023
DA - May
TI - An external validation of the QCOVID3 risk prediction algorithm for risk of hospitalisation and death from COVID-19: An observational, prospective cohort study of 1.66m vaccinated adults in Wales, UK
JO - PLoS ONE
VL - 18
IS - 5
DO - https://doi.org/10.1371/journal.pone.0285979
AB - INTRODUCTION: At the start of the COVID-19 pandemic there was an urgent need to identify individuals at highest risk of severe outcomes, such as hospitalisation and death following infection. The QCOVID risk prediction algorithms emerged as key tools in facilitating this which were further developed during the second wave of the COVID-19 pandemic to identify groups of people at highest risk of severe COVID-19 related outcomes following one or two doses of vaccine.
PB - Public Library of Science
UR - https://www.research.ed.ac.uk/en/publications/377dccc0-59de-4d0e-a2f5-0747c9cc62c9
KW - Coronavirus (COVID-19)
KW - Hospital care
ER