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Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS by Kostka, K, Duarte-Salles, T, Prats-Uribe, A, Sena, AG, Pistillo, A, Khalid, S, Lai, LYH, Golozar, A, Alshammari, TM, Dawoud, DM, Nyberg, F, Wilcox, AB, Andryc, A, Williams, A, Ostropolets, A, Areia, C, Jung, CY, Harle, CA, Reich, CG, Blacketer, C, Morales, DR, Dorr, DA, Burn, E, Roel, E, Tan, EH, Minty, E, DeFalco, F, de Maeztu, G, Lipori, G, Alghoul, H, Zhu, H, Thomas, JA, Bian, J, Park, J, Martínez Roldán, J, Posada, JD, Banda, JM, Horcajada, JP, Kohler, J, Shah, K, Natarajan, K, Lynch, KE, Liu, L, Schilling, LM, Recalde, M, Spotnitz, M, Gong, M, Matheny, ME, Valveny, N, Weiskopf, NG, Shah, N, Alser, O, Casajust, P, Park, RW, Schuff, R, Seager, S, DuVall, SL, You, SC, Song, S, Fernández-Bertolín, S, Fortin, S, Magoc, T, Falconer, T, Subbian, V, Huser, V, Ahmed, W-U-R, Carter, W, Guan, Y, Galvan, Y, He, X, Rijnbeek, PR, Hripcsak, G, Ryan, PB, Suchard, MA, Prieto-Alhambra, D