Potential pitfalls in the use of real world data to study Long COVID

This figure has seven different sub panels which show data visualizations of long COVID related data.

Citation

HG Zhang, JP Honerlaw, M Maripuri, MJ Samayamuthu, BR Beaulieu-Jones, HS Baig, S L’Yi, YL Ho, M Morris, VA Panickan, X Wang, GM Weber, KP Liao, S Visweswaran, BWQ Tan, W Yuan, N Gehlenborg, S Muralidhar, RB Ramoni, The Consortium for Clinical Characterization of COVID-19 by EHR (4CE), IS Kohane, Z Xia, K Cho, T Cai, GA Brat. “Potential pitfalls in the use of real world data to study Long COVID”, Nature Medicine 29(5):1040-1043 (2023). doi:10.1038/s41591-023-02274-y