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

• DOI: 10.2147/clep.s323292
• Publication Date: 2022-03-21T16:00:13Z
• Authors: Kristin Kostka; Talita Duarte-Salles; Albert Prats-Uribe; Anthony G Sena; Andrea Pistillo; Sara Khalid; Lana YH 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 Blacketer; Daniel R Morales; David A Dorr; Edward Burn; Elena Roel; Eng Hooi Tan; Evan Minty; Frank DeFalco; Gabriel de Maeztu; Gigi Lipori; Heba Alghoul; Hong Zhu; Jason A Thomas; Jiang Bian; Jimyung Park; Jordi Martínez Ro...; 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-...; Stephen Fortin; Tanja Magoc; Thomas Falconer; Vignesh Subbian; Vojtech Huser; Waheed-Ul-Rahman ...; William Carter; Yin Guan; Yankuic Galvan; Xing He; Peter R Rijnbeek; George Hripcsak; Patrick B Ryan; Marc A Suchard; Daniel Prieto-Alh...
• Keywords: Pandemic

Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Associated Risks Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation analysis of COVID-19 RWD.