Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS
揭开 COVID-19 的面纱:利用 CHARYBDIS 对 450 万例 COVID-19 病例进行大规模特征分析
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doi:10.21203/rs.3.rs-279400/v1
Prieto-Alhambra, Daniel; Kostka, Kristin; Duarte-Salles, Talita; Prats-Uribe, Albert; Sena, Anthony; Pistillo, Andrea; Khalid, Sara; Lai, Lana; Golozar, Asieh; Alshammari, Thamir M; Dawoud, Dalia; Nyberg, Fredrik; Wilcox, Adam; Andryc, Alan; Williams, Andrew; Ostropolets, Anna; Areia, Carlos; Jung, Chi Young; Harle, Christopher; Reich, Christian; Blacketer, Clair; Morales, Daniel; Dorr, David A; Burn, Edward; Roel, Elena; Tan, Eng Hooi; Minty, Evan; DeFalco, Frank; de Maeztu, Gabriel; Lipori, Gigi; Alghoul, Heba; Zhu, Hong; Thomas, Jason; Bian, Jiang; Park, Jimyung; Roldán, Jordi Martínez; Posada, Jose; Banda, Juan M; Horcajada, Juan P; Kohler, Julianna; Shah, Karishma; Natarajan, Karthik; Lynch, Kristine; Liu, Li; Schilling, Lisa; Recalde, Martina; Spotnitz, Matthew; Gong, Mengchun; Matheny, Michael; Valveny, Neus; Weiskopf, Nicole; Shah, Nigam; Alser, Osaid; Casajust, Paula; Park, Rae Woong; Schuff, Robert; Seager, Sarah; DuVall, Scott; You, Seng Chan; Song, Seokyoung; Fernández-Bertolín, Sergio; Fortin, Stephen; Magoc, Tanja; Falconer, Thomas; Subbian, Vignesh; Huser, Vojtech; Ahmed, Waheed-Ul-Rahman; Carter, William; Guan, Yin; Galvan, Yankuic; He, Xing; Rijnbeek, Peter; Hripcsak, George; Ryan, Patrick; Suchard, Marc