@article{Kostka_K-2022_81732,
title = {Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS},
author = {Kostka, K. and Duarte-Salles, T. and Prats-Uribe, A. and Sena, A. and Pistillo, A. and Khalid, S. and Lai, L. and Golozar, A. and Alshammari, T. and Dawoud, D. and Nyberg, F. and Wilcox, A. and Andryc, A. and Williams, A. and Ostropolets, A. and Areia, C. and Jung, C. and Harle, C. and Reich, C. and Blacketer, C. and Morales, D. and Dorr, D. and Burn, E. and Roel, E. and Tan, E. and Minty, E. and DeFalco, F. and de Maeztu, G. and Lipori, G. and Alghoul, H. and Zhu, H. and Thomas, J. and Bian, J. and Park, J. and Martínez Roldán, J. and Posada, J. and Banda, J. and Horcajada, J. and Kohler, J. and Shah, K. and Natarajan, K. and Lynch, K. and Liu, L. and Schilling, L. and Recalde, M. and Spotnitz, M. and Gong, M. and Matheny, M. and Valveny, N. and Weiskopf, N. and Shah, N. and Alser, O. and Casajust, P. and Park, R. and Schuff, R. and Seager, S. and DuVall, S. and You, S. and Song, S. and Fernández-Bertolín, S. and Fortin, S. and Magoc, T. and Falconer, T. and Subbian, V. and Huser, V. and Ahmed, W. and Carter, W. and Guan, Y. and Galvan, Y. and He, X. and Rijnbeek, P. and Hripcsak, G. and Ryan, P. and Suchard, M. and Prieto-Alhambra, D.},
month = {mar},
year = {2022},
abstract = {Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD.},
pages = {369-384},
volume = {14},
journal = {Clinical Epidemiology},
publisher = {Dove Press},
url = {https://doi.org/10.2147/CLEP.S323292},
}
