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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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27 Results

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27 Results

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EHR Pregnant Women Risk Factors

Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysis

Bruno, AM; Zang, C; Xu, Z; et. al.RECOVER EHR CohortRECOVER Pregnancy Cohort, eClinicalMedicine,
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
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 Adult Risk Factors

Risk factors associated with post-acute sequelae of SARS-CoV-2: An N3C and NIH RECOVER study

Hill, EL; Mehta, HB; Sharma, S; et. al., BMC Public Health,
Summary
EHR Adult New-onset and Pre-existing Conditions Risk Factors

Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: An electronic health record-based analysis from the RECOVER Initiative

L Mandel, H; Colleen, G; Abedian, S; et al., Sleep,
Summary
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
EHR Adult Risk Factors

Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the RECOVER Program

Zhang, Y; Hu, H; Fokaidis, V; et al., Environmental Advances,
Summary
EHR Pediatric Broad Symptoms Risk Factors

Understanding pediatric Long COVID using a tree-based scan statistic approach: An EHR-based cohort study from the RECOVER Program

Lorman, V; Rao, S; Jhaveri, R; et al., JAMIA Open,
Summary
EHR Adult Risk Factors

Identifying who has Long COVID in the USA: A machine learning approach using N3C data

Pfaff, ER; Girvin, AT; Bennett, TD; et al., The Lancet Digital Health,
Summary
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