Skip to main content

Publications

Browse or search a complete list of published findings from RECOVER’s Long COVID research.

RECOVER researchers share what they’re learning about Long COVID by publishing papers in scientific journals. Visit the Research Summaries page to learn about RECOVER’s Long COVID research in a format that’s easy to understand.

Last updated:

166 Results

Filters

Selected Filters

166 Results

Schizophrenia, bipolar, or major depressive disorder and postacute sequelae of COVID-19

Vekaria, V; Thiruvalluru, RK; Verzani, Z; et al., JAMA Network Open,
Short Summary
EHR Adult

Preventive effect of vaccination on Long COVID in adolescents with SARS-CoV-2 infection

Thaweethai, T; Gross, RS; Pant, DB; et al., Vaccine,
Short Summary
Observational Pediatric

Identifying pediatric Long COVID: Comparing an EHR algorithm to manual review

Botdorf, M; Dickinson, K; Lorman, V; et al., Applied Clinical Informatics,
Short Summary
EHR Pediatric

Long COVID associated with SARS-CoV-2 reinfection among children and adolescents in the Omicron era (RECOVER-EHR): A retrospective cohort study

Zhang, B; Wu, Q; Jhaveri, R; et al., Lancet Infectious Diseases,
Short Summary
EHR Pediatric

Olfactory dysfunction after SARS-CoV-2 infection in the RECOVER adult cohort

Horwitz, LI; Becker, JH; Huang, W; et al., JAMA Network Open,
Short Summary
Video Summary
Observational Adult

Wearable-derived sleep measurements are associated with Long-COVID in the RECOVER adult cohort

Parthasarathy, S; Brosnahan, S; Sieberts, S; et al., Research Square,
Preprint
Observational Adult

Effect of Paxlovid treatment during acute COVID-19 on Long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER Consortia

Preiss, A; Bhatia, A; Aragon, LV; et al., PLOS Medicine,
Short Summary
EHR Adult

Extracting post-acute sequelae of SARS-CoV-2 infection symptoms from clinical notes via hybrid natural language processing

Bai, Z; Xu, Z; Sun, C; et al., npj Health Systems,
Short Summary
EHR Pediatric

Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A machine learning modelling study from the N3C and RECOVER consortia

Crosskey, M; McIntee, T; Preiss, S; et al., The Lancet Digital Health,
Short Summary
EHR Adult