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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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78 Results

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78 Results

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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
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
Review Adult Pediatric

Immune mechanisms underlying COVID-19 pathology and post-acute sequelae of SARS-CoV-2 infection (PASC)

Mohandas, S; Jagannathan, P; Henrich, TJ; et al., eLife,
Summary
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 Pediatric

Can multisystem inflammatory syndrome in children be managed in the outpatient setting? An EHR-based cohort study from the RECOVER Program

Jhaveri, R; Webb, R; Razzaghi, H; et al., Journal of the Pediatric Infectious Disease Society,
Summary
EHR Pediatric

Understanding pediatric Long COVID using a tree-based scan statistic approach: An EHR-based cohort study from the RECOVER Program

Lorman, V; Rao, S; Jhaveri, R; et al., JAMIA Open,
Summary
EHR Adult

Racial/ethnic disparities in post-acute sequelae of SARS-CoV-2 infection in New York: An EHR-based cohort study from the RECOVER Program

Khullar, D; Zhang, Y; Zang, C; et al., Journal of General Internal Medicine,
Summary
EHR Adult

Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the RECOVER Program

Zhang, Y; Hu, H; Fokaidis, V; et al., Environmental Advances,
Summary
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