Page last updated May 11, 2026
Study Website: RECOVERCOVID
ClinicalTrials.gov#: NCT05292274
Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Single IRB
Principal Investigator: Rainu Kaushal
Institution: Weill Cornell Medicine
PCORnet® Network Partner: INSIGHT
Funder: Federal (NIH)
Funding Date: 2022
Study Duration: 2022 - 2026
Participating PCORnet® Clinical Research Networks: GPC, INSIGHT, OneFlorida+, PaTH, REACHnet, STAR
Therapeutic Area: Infectious Disease
Condition: COVID-19; SARS CoV 2 Infection
Age Range: 18 Years and older (Adult, Older Adult)
Status: Active, not recruiting
Research Question(s):
- What are the long term health effects of COVID-19 after a person has recovered from infection?
- How can we better detect, predict, and treat these health effects and prevent future infection?
Primary Publication(s):
Zang C, Zhang Y, Xu J, et al. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative. Nature Communications. 2023;14(1):1948. doi.org/10.1038/s41467-023-37653-z
Zhang H, Zang C, Xu Z, et al. Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes. Nat Med. 2023;29:226-235. doi.org/10.1038/s41591-022-02116-3