Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Kristin Kostka, Talita Duarte-Salles, Albert Prats-Uribe, Anthony G. Sena, Andrea Pistillo, Sara Khalid, Lana Y. H. Lai, Asieh Golozar, Thamir M. Alshammari, Dalia M. Dawoud, Fredrik Nyberg, Adam B. Wilcox, Alan Andryc, Andrew Williams, Anna Ostropolets, Carlos Areia, Chi Young Jung, Christopher A. Harle, Christian G. Reich, Clair BlacketerDaniel R. Morales, David A. Dorr, Edward Burn, Elena Roel, Eng Hooi Tan, Evan Minty, Frank DeFalco, Gabriel de Maeztu, Gigi Lipori, Hiba Alghoul, Hong Zhu, Jason A. Thomas, Jiang Bian, Jimyung Park, Jordi Martínez Roldán, Jose D. Posada, Juan M. Banda, Juan P. Horcajada, Julianna Kohler, Karishma Shah, Karthik Natarajan, Kristine E. Lynch, Li Liu, Lisa M. Schilling, Martina Recalde, Matthew Spotnitz, Mengchun Gong, Michael E. Matheny, Neus Valveny, Nicole G. Weiskopf, Nigam Shah, Osaid Alser, Paula Casajust, Rae Woong Park, Robert Schuff, Sarah Seager, Scott L. DuVall, Seng Chan You, Seokyoung Song, Sergio Fernández-Bertolín, Stephen Fortin, Tanja Magoc, Thomas Falconer, Vignesh Subbian, Vojtech Huser, Waheed-Ul-Rahman Ahmed, William Carter, Yin Guan, Yankuic Galvan, Xing He, Peter R. Rijnbeek, George Hripcsak, Patrick B. Ryan, Marc A. Suchard, Daniel Prieto-Alhambra (Lead / Corresponding author)

Research output: Contribution to journal › Article › peer-review

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