@article{Williams_R-2022_64843,
title = {Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network},
author = {Williams, R. and Markus, A. and Yang, C. and Duarte-Salles, T. and DuVall, S. and Falconer, T. and Jonnagaddala, J. and Kim, C. and Rho, Y. and Williams, A. and Machado, A. and An, M. and Aragón, M. and Areia, C. and Burn, E. and Choi, Y. and Drakos, I. and Abrahão, M. and Fernández-Bertolín, S. and Hripcsak, G. and Kaas-Hansen, B. and Kandukuri, P. and Kors, J. and Kostka, K. and Liaw, S. and Lynch, K. and Machnicki, G. and Matheny, M. and Morales, D. and Nyberg, F. and Park, R. and Prats-Uribe, A. and Pratt, N. and Rao, G. and Reich, C. and Rivera, M. and Seinen, T. and Shoaibi, A. and Spotnitz, M. and Steyerberg, E. and Suchard, M. and You, S. and Zhang, L. and Zhou, L. and Ryan, P. and Prieto-Alhambra, D. and Reps, J. and Rijnbeek, P.},
month = {jan},
year = {2022},
abstract = {Background: We investigated whether we could use influenza data to develop prediction models for COVID-19 to increase the speed at which prediction models can reliably be developed and validated early in a pandemic. We developed COVID-19 Estimated Risk (COVER) scores that quantify a patient's risk of hospital admission with pneumonia (COVER-H), hospitalization with pneumonia requiring intensive services or death (COVER-I), or fatality (COVER-F) in the 30-days following COVID-19 diagnosis using historical data from patients with influenza or flu-like symptoms and tested this in COVID-19 patients.},
volume = {22},
journal = {BMC Medical Research Methodology},
publisher = {Springer Nature},
url = {https://doi.org/10.1186/s12874-022-01505-z},
}
