COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

BACKGROUND: Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible...

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Detalles Bibliográficos
Autores principales: Thygesen, Johan H, Tomlinson, Christopher, Hollings, Sam, Mizani, Mehrdad A, Handy, Alex, Akbari, Ashley, Banerjee, Amitava, Cooper, Jennifer, Lai, Alvina G, Li, Kezhi, Mateen, Bilal A, Sattar, Naveed, Sofat, Reecha, Torralbo, Ana, Wu, Honghan, Wood, Angela, Sterne, Jonathan A C, Pagel, Christina, Whiteley, William N, Sudlow, Cathie, Hemingway, Harry, Denaxas, Spiros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179175/
https://www.ncbi.nlm.nih.gov/pubmed/35690576
http://dx.doi.org/10.1016/S2589-7500(22)00091-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179175/
https://www.ncbi.nlm.nih.gov/pubmed/35690576
http://dx.doi.org/10.1016/S2589-7500(22)00091-7

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