Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS

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BACKGROUND: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Basel...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941629/
https://www.ncbi.nlm.nih.gov/pubmed/33688639
http://dx.doi.org/10.21203/rs.3.rs-279400/v1

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