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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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33 Results

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33 Results

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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
Review Pediatric New-onset and Pre-existing Conditions Risk Factors Viral Variants

Postacute sequelae of SARS-CoV-2 in children

Rao, S; Gross, RS; Mohandas, S; et al., Pediatrics,
Summary
EHR Pediatric Vaccination

Real-world effectiveness of BNT162b2 against infection and severe diseases in children and adolescents

Wu, Q; Tong, J; Zhang, B; et al., Annals of Internal Medicine,
Summary
EHR Adult Pediatric Broad Symptoms

Association between SARS-CoV-2 infection and select symptoms and conditions 31 to 150 days after testing among children and adults

Zhang, Y; Romieu-Hernandez, A; Boehmer, TK; et al., BMC Infectious Diseases,
Summary
Review Adult Pediatric

Long-term effects of COVID-19 on the cardiopulmonary system in adults and children: Current status and questions to be resolved by the NIH RECOVER Initiative

RECOVER Cardiopulmonary Committee; Rischard, F; Altman, N; et. al., CHEST,
Summary
EHR Pediatric Vaccination

Vaccine effectiveness against Long COVID in children

Razzaghi, H; Forrest, CB; Hirabayashi, K; et. al., Pediatrics,
Summary
EHR Pediatric

Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children

Jing, N; Liu, X; Wu, Q; et al., medRxiv,
Preprint
EHR Pediatric Broad Symptoms New-onset and Pre-existing Conditions

Spectrum of severity of multisystem inflammatory syndrome in children: An EHR-based cohort study from the RECOVER program

Rao, S; Jing, N; Liu, X; et al., Scientific Reports,
Summary
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
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