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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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114 Results

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114 Results

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Observational Adult

Epidemiologic features of recovery from SARS-CoV-2 infection

Oelsner, EC; Sun, Y; Balte, PP; et al., JAMA Network Open,
EHR Adult Broad Symptoms Viral Variants

Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program

Varma, JK; Zang, C; Carton, TW; et. al.RECOVER Consortium, PLOS ONE,
Summary
Pathobiology Review

The potency of hematopoietic stem cell reprogramming for changing immune tone

Daman, AW; Cheong, JG; Berneking, L; Josefowicz, SZ, Immunological Reviews,
Pathobiology New-onset and Pre-existing Conditions

Case-control study of individuals with small fiber neuropathy after COVID-19

McAlpine, L; Zubair, AS; Joseph, P; , Neurology Neuroimmunology & Neuroinflammation,
Clinical Trial Adult

RECOVER-NEURO: Study protocol for a multi-center, multi-arm, phase 2, randomized, active comparator trial evaluating three interventions for cognitive dysfunction in post-acute sequelae of SARS-CoV-2 infection (PASC)

Knopman, DS; Laskowitz, DT; Koltai, DC; et al., Trials,
Summary
EHR Pediatric

EHR-based case identification of pediatric Long COVID: A report from the RECOVER EHR cohort

Botdorf, M; Dickinson, K; Lorman, V; et al., medRxiv,
Preprint
EHR Adult Pediatric

Post-acute cardiovascular outcomes of COVID-19 in children and adolescents: An EHR cohort study from the RECOVER Project

Zhang, B; Thacker, D; Zhou, T; et al., medRxiv,
Preprint
Observational Pediatric

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

Gross, RS; Thaweethai, T; Rosenzweig, EB; et. al.RECOVER-Pediatric Consortium, PLOS ONE,
Summary
EHR Pediatric Risk Factors

Learning competing risks across multiple hospitals: One-shot distributed algorithms

Zhang, D; Tong, J; Jing, N; et al., Journal of the American Medical Informatics Association,
Summary
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