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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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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
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
EHR Adult

Data-driven analysis to understand Long COVID using electronic health records from the RECOVER Initiative

Zang, C; Zhang, Y; Xu, J; 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
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

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,
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