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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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127 Results

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127 Results

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Observational Adult Broad Symptoms Risk Factors

Age-related changes in the clinical picture of Long COVID

Fain, MJ; Horne, BD; Horwitz, LI; et al., Journal of the American Geriatrics Society,
EHR Adult

Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A machine learning modelling study from the N3C and RECOVER consortia

Crosskey, M; McIntee, T; Preiss, S; et al., The Lancet Digital Health,
EHR Adult New-onset and Pre-existing Conditions Risk Factors

The association of Long COVID and CKD: Findings from the National Clinical Cohort Collaborative (N3C)

Anzalone, AJ; Krichevsky, S; Yoo, YJ; et al., Clinical Journal of the American Society of Nephrology,
EHR Pediatric New-onset and Pre-existing Conditions

Respiratory and other infections following COVID

Allen, AJ; Nguyen, N; Lorman, V; et al., Pediatrics,
Pathobiology

Antibody repertoire associated with clinically diverse presentations of pediatric SARS-CoV-2 infection

Bruiners, N; Ukey, R; Konvinse, KC; et al., medRxiv,
Preprint
Observational Adult Health Disparities Risk Factors

Social determinants of health and risk for Long COVID in the U.S. RECOVER-Adult cohort

Feldman, CH; Santacroce, L; Bassett, IV; et al., Annals of Internal Medicine,
Summary
Pathobiology

Effect of obesity on the acute response to SARS-CoV-2 infection and development of post-acute sequelae of COVID-19 (PASC) in nonhuman primates

Sauter, KA; Webb, GM; Bader, L; et al., PLOS Pathogens,
EHR Pediatric Broad Symptoms New-onset and Pre-existing Conditions

Risk of neuropsychiatric and related conditions associated with SARS-CoV-2 infection: A difference-in-differences analysis

Lu, Y; Tong, J; Zhang, D; et al., Nature Communications,
Review

Quality improvement of a community-engaged authorship system: Lessons learned from the RECOVER Initiative

Esquenazi-Karonika, S; Mathews, PD; Wood, MJ; et al., BMC Health Services Research,
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