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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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110 Results

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110 Results

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EHR Pediatric

A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program

Lorman, V; Razzaghi, H; Song, X; et. al., PLOS ONE,
Summary
Pathobiology

Active transcription in the vascular bed characterizes rapid progression in idiopathic pulmonary fibrosis

Sharma, NS; Patel, K; Sari, E; et al., The Journal of Clinical Investigation,
EHR Adult Health Disparities New-onset and Pre-existing Conditions

Geographic and temporal trends in COVID-associated acute kidney injury in the National COVID Cohort Collaborative

Yoo, YJ; Wilkins, KJ; Alakwaa, F; et. al.; N3C and RECOVER Consortia, Clinical Journal of the American Society of Nephrology,
Summary
Pathobiology

Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019

Wilcox, DR; Rudmann, EA; Ye, E; et al., AIDS,
Pathobiology

Epigenetic memory of coronavirus infection in innate immune cells and their progenitors

Cheong, JG; Ravishankar, A; Sharma, S; et al., Cell,
EHR Pediatric

Leveraging serologic testing to identify children at risk for post-acute sequelae of SARS-CoV-2 infection: An electronic health record-based cohort study from the RECOVER Program

Mejias, A; Schuchard, J; Rao, S; et al., The Journal of Pediatrics,
Summary
Observational Adult

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

Horwitz, LI; Thaweethai, T; Brosnahan, SB; et al., PLOS ONE,
Summary
Observational Adult Broad Symptoms Health Disparities New-onset and Pre-existing Conditions

Development of a definition of Postacute Sequelae of SARS-CoV-2 infection

Thaweethai, T; Jolley, SE; Karlson, EW; et al., JAMA,
Summary
Data Available
Q&A
EHR Adult New-onset and Pre-existing Conditions Risk Factors

De-black-boxing health AI: Demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository

Pfaff, ER; Girvin, AT; Crosskey, M; et al., Journal of American Medical Informatics Association,
Summary
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