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Sharing science to find answers

Find RECOVER Publications

Researchers within the RECOVER Initiative share their progress to understand, treat, and prevent Long COVID through research publications. Follow the latest science from RECOVER’s research studies below.

Visit the Research Summaries page to learn about RECOVER’s Long COVID research in a format that’s easy to understand.

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8 Results

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8 Results

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EHR Pediatric

Learning competing risks across multiple hospitals: One-shot distributed algorithms

Zhang, D; Tong, J; Jing, N; et al., Journal of the American Medical Informatics Association,
Review Pediatric

Postacute sequelae of SARS-CoV-2 in children

Rao, S; Gross, RS; Mohandas, S; et al., Pediatrics,
EHR Adult

Risk factors associated with post-acute sequelae of SARS-CoV-2: An N3C and NIH RECOVER study

Hill, EL; Mehta, HB; Sharma, S; et. al., BMC Public Health,
Summary
EHR Adult

De-black-boxing health AI: Demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository

Pfaff, ER; Girvin, AT; Crosskey, M; et al., Journal of American Medical Informatics Association,
Summary
Summary
Summary
EHR Adult

Identifying who has Long COVID in the USA: A machine learning approach using N3C data

Pfaff, ER; Girvin, AT; Bennett, TD; et al., The Lancet Digital Health,
Summary
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