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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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89 Results

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89 Results

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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

Risk factors and predictive modeling for post-acute sequelae of SARS-CoV-2 infection: Findings from EHR cohorts of the RECOVER Initiative

Zang, C; Hou, Y; Schenck, E; et. al., Research Square,
EHR Adult

Are fewer cases of diabetes mellitus diagnosed in the months after SARS-CoV-2 infection? A population-level view in the EHR-based RECOVER Program

Reddy, NV; Yeh, HC; Tronieri, JS; et al., Journal of Clinical and Translational Science,
Summary
Review Adult

Therapeutic trials for Long COVID-19: A call to action from the interventions taskforce of the RECOVER Initiative

Bonilla, H; Peluso, MJ; Rodgers, K; et al., Frontiers in Immunology,
Summary
Review Adult

Pathogenic mechanisms of post-acute sequelae of SARS-CoV-2 infection (PASC)

Sherif, ZA; Gomez, CR; Connors, TJ; et al., eLife,
Summary
EHR Adult

Coding Long COVID: Characterizing a new disease through an ICD-10 lens

Pfaff, ER; Madlock-Brown, C; Baratta, JM; et al., BMC Medicine,
Summary
EHR Adult

Generalisable Long COVID subtypes: Findings from the NIH N3C and RECOVER programmes

Reese, JT; Blau, H; Casiraghi, E; et al., eBioMedicine,
Summary
EHR Adult

Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

Zhang, H; Zang, C; Xu, Z; et al., Nature Medicine,
Summary
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