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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.

Last updated:

125 Results

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125 Results

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EHR Observational Adult Risk Factors

Classifying COVID-19 hospitalizations in epidemiology cohort studies: The C4R study

Oelsner, EC; Krishnaswamy, A; Rustamov, R; et al., PLOS ONE,
EHR Pediatric

Vaccine effectiveness among 5- to 17-year-old individuals with prior SARS-CoV-2 infection: An EHR-based target trial emulation study from the RECOVER project

Chen, J; Lei, Y; Wu, Q; et al., medRxiv,
Preprint
EHR Pediatric Health Disparities Risk Factors

Racial/ethnic differences in post-acute sequelae of SARS-CoV-2 in children and adolescents in the United States

Zhang, D; Zhang, B; Wu, Q; et al., Nature Communications,
Summary
Observational Adult Risk Factors Viral Variants

Sex differences in Long COVID

Shah, DP; Thaweethai, T; Karlson, EW; et al.; RECOVER Consortium, JAMA Network Open,
Summary
EHR Pediatric Vaccination

Real-world effectiveness and causal mediation study of BNT162b2 on Long COVID risks in children and adolescents

Wu, Q; Zhang, B; Tong, J; et al.; RECOVER Consortium, eClinicalMedicine,
Summary
Pathobiology

Cardiac biomarkers aid in differentiation of Kawasaki disease from multisystem inflammatory syndrome in children associated with COVID-19

Walton, M; Raghuveer, G; Harahsheh, A; et al., Pediatric Cardiology,
Pathobiology

Infants display reduced NK cell responses in RSV and increased inflammatory responses in SARS-CoV-2 infections

Ucar, D; Thibodeau, A; Mejias, A; et al., Research Square,
Preprint
Review Adult Pediatric Pregnant Women

A multi-omics strategy to understand PASC through the RECOVER cohorts: A paradigm for a systems biology approach to the study of chronic conditions

Sun, J; Aikawa, M; Ashktorab, H; et al., Frontiers in Systems Biology,
EHR Adult

Advancing interpretable regression analysis for binary data: A novel distributed algorithm approach

Tong, J; Li, L; Reps, JM; et al., Statistics in Medicine,
Summary
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