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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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66 Results

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66 Results

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EHR Pediatric

A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program

Lorman, V; Razzaghi, H; Song, X; et. al., PLOS ONE,
Summary
Observational Adult

Development of a definition of Postacute Sequelae of SARS-CoV-2 infection

Thaweethai, T; Jolley, SE; Karlson, EW; et al., JAMA,
Summary
Data Available
Q&A
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
Pathobiology Adult

Lipopolysaccharide increases bitter taste sensitivity via epigenetic changes in Tas2r gene clusters

Lin, C; Jyotaki, M; Quinlan, J; et al., iScience,
EHR Pediatric

Leveraging serologic testing to identify children at risk for post-acute sequelae of SARS-CoV-2 infection: An electronic health record-based cohort study from the RECOVER Program

Mejias, A; Schuchard, J; Rao, S; et al., The Journal of Pediatrics,
Summary
Observational Adult

Researching COVID to enhance recovery (RECOVER) adult study protocol: Rationale, objectives, and design

Horwitz, LI; Thaweethai, T; Brosnahan, SB; et al., PLOS ONE,
Review Adult

Viral persistence, reactivation, and mechanisms of Long COVID

Chen, B; Julg, B; Mohandas, S; et al., eLife,
Summary
EHR Adult

Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER Program

Brannock, MD; Chew, RF; Preiss, AJ; et al., Nature Communications,
Summary
EHR Adult

Clinical encounter heterogeneity and methods for resolving in networked EHR data: A study from N3C and RECOVER programs

Leese, P; Anand, A; Girvin, A; et al., Journal of the American Medical Informatics Association,
Summary
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