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 Blacketer, Daniel 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
Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Patients and Methods: We conducted a descriptive retrospective database study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China)...
2022: Clinical Epidemiology