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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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116 Results

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116 Results

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Pathobiology

Self-reported neuropsychiatric post-COVID-19 condition and CSF markers of neuroinflammation

Farhadian, SF; Reisert, HD; McAlpine, L; et al., JAMA Network Open,
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 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
Pathobiology

Distinguishing features of Long COVID identified through immune profiling

Klein, J; Wood, J; Jaycox, J; et. al., Nature,
Review Adult

The importance of patient-partnered research in addressing Long COVID: Takeaways for biomedical research study design from the RECOVER Initiative's Mechanistic Pathways taskforce

Kim, C; Chen, B; Mohandas, S; et al., eLife,
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
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

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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