TY - JOUR
AU - Lyons, Jane
AU - Nafilyan, Vahé
AU - Akbari, Ashley
AU - Davies, Gareth
AU - Griffiths, Rowena
AU - Harrison, Ewen M.
AU - Hippisley-Cox, Julia
AU - Hollinghurst, Joe
AU - Khunti, Kamlesh
AU - North, Laura
AU - Sheikh, Aziz
AU - Torabi, Fatemeh
AU - Lyons, Ronan A.
PY - 2022
DA - February
TI - Validating the QCOVID risk prediction algorithm for risk of mortality from COVID-19 in the adult population in Wales, UK
JO - International Journal of Population Data Science
VL - 5
IS - 4
DO - https://doi.org/10.23889/ijpds.v5i4.1697
AB - Introduction: COVID-19 risk prediction algorithms can be used to identify at-risk individuals from short-term serious adverse COVID-19 outcomes such as hospitalisation and death. It is important to validate these algorithms in different and diverse populations to help guide risk management decisions and target vaccination and treatment programs to the most vulnerable individuals in society.
PB - Swansea University
UR - https://www.research.ed.ac.uk/en/publications/4b79896f-ff9f-462f-926e-53deae05c1b2
KW - Coronavirus (COVID-19)
ER