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Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.
Prieto-Alhambra D, Kostka K, Duarte-Salles T, Prats-Uribe A, Sena A, Pistillo A, Khalid S, Lai L, Golozar A, Alshammari TM, Dawoud D, Nyberg F, Wilcox A, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle C, Reich C, Blacketer C, Morales D, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas J, Bian J, Park J, Roldán JM, Posada J, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch K, Liu L, Schilling L, Recalde M, Spotnitz M, Gong M, Matheny M, Valveny N, Weiskopf N, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall S, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WU, Carter W, Guan Y, Galvan Y, He X, Rijnbeek P, Hripcsak G, Ryan P, Suchard M. Prieto-Alhambra D, et al. Among authors: rijnbeek p. Res Sq [Preprint]. 2021 Mar 1:rs.3.rs-279400. doi: 10.21203/rs.3.rs-279400/v1. Res Sq. 2021. Update in: Clin Epidemiol. 2022 Mar 22;14:369-384. doi: 10.2147/CLEP.S323292 PMID: 33688639 Free PMC article. Updated. Preprint.
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