Data-Driven Analysis to Understand Long COVID Using Electronic Health Records From the RECOVER Initiative

    April 2023 in “ Nature communications
    Chengxi Zang, Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Edward J. Schenck, Dhruv Khullar, Anna S. Nordvig, Louis Shenkman, Russell L. Rothman, Jason P. Block, Kristin Lyman, Mark G. Weiner, Thomas Carton, Fei Wang, Rainu Kaushal
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    Studysummary In this study, researchers used EHR data from two large PCORnet networks to identify a range of long COVID diagnoses, highlighting varying post-acute risks across populations in NYC and Florida.
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