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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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61 Results

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61 Results

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EHR Pediatric

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,
EHR Adult Pediatric Broad Symptoms Risk Factors

Long COVID incidence proportion in adults and children between 2020 and 2024: An electronic health record-based study from the RECOVER Initiative

Mandel, H; Yoo, YJ; Allen, AJ; et al., Clinical Infectious Diseases,
Summary
EHR Adult Pediatric New-onset and Pre-existing Conditions Risk Factors

Severity of acute SARS-CoV-2 infection and risk of new-onset autoimmune disease: A RECOVER Initiative study in nationwide U.S. cohorts

Wuller, S; Singer, NG; Lewis, C; et al., PLOS ONE,
EHR Adult Risk Factors

HIV infection and Long COVID: A RECOVER Program, electronic health record based cohort study

Hawkins, KL; Dandachi, D; Verzani, Z; et al., Clinical Infectious Diseases,
EHR Pediatric New-onset and Pre-existing Conditions

Kidney function following COVID-19 in children and adolescents

Li, L; Zhou, T; Lu, Y; et al., JAMA Network Open,
EHR Pediatric New-onset and Pre-existing Conditions Viral Variants

Cardiovascular post-acute sequelae of SARS-CoV-2 in children and adolescents: Cohort study using electronic health records

Zhang, B; Thacker, D; Zhou, T; et al., Nature Communications,
EHR Adult Broad Symptoms New-onset and Pre-existing Conditions

Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort

Powers, JP; McIntee, TJ; Bhatia, A; et al., Communications Medicine,
Summary
EHR Pediatric Broad Symptoms

Pediatric Long COVID subphenotypes: An EHR-based study from the RECOVER Program

Lorman, V; Bailey, LC; Song, X; et al., PLOS Digital Health,
Summary
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