@article{Thygesen_J-2022_89218,
title = {COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records},
author = {Thygesen, J. and Tomlinson, C. and Hollings, S. and Mizani, M. and Handy, A. and Akbari, A. and Banerjee, A. and Cooper, J. and Lai, A. and Li, K. and Mateen, B. and Sattar, N. and Sofat, R. and Torralbo, A. and Wu, H. and Wood, A. and Sterne, J. and Pagel, C. and Whiteley, W. and Sudlow, C. and Hemingway, H. and Denaxas, S. and CVD-COVID-UK Consortium and COVID-19 National Core Study},
month = {jun},
year = {2022},
abstract = {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 framework.},
pages = {E542-E557},
volume = {4},
issue = {7},
journal = {The Lancet Digital Health},
publisher = {Elsevier},
url = {https://doi.org/10.1016/S2589-7500(22)00091-7},
}
