Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries.
López-Güell K. et al, (2025), J clin epidemiol
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. et al, (2025), Plos one, 20
Association of COVID-19 With Risk of Posttransplant Diabetes Mellitus
Vinson AJ. et al, (2025), Transplantation, 109, e253 - e261
Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C)
Soff S. et al, (2025), Bmj open diabetes research and care, 13
Identifying factors associated with persistent opioid use after total joint arthroplasty: a retrospective review.
Quaye A. et al, (2025), Pain med, 26, 53 - 62
National COVID Cohort Collaborative data enhancements: a path for expanding common data models.
Walters KM. et al, (2025), J am med inform assoc, 32, 391 - 397
Incidence of post-acute COVID-19 symptoms across healthcare settings in seven countries: an international retrospective cohort study using routinely-collected data.
Xie J. et al, (2024), Eclinicalmedicine, 77
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative.
Bergquist T. et al, (2024), Ebiomedicine, 108
The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.
Kunz M. et al, (2024), Aids behav, 28, 5 - 21
From Alpha to Omicron and Beyond: Associations Between SARS-CoV-2 Variants and Surgical Outcomes
Verhagen NB. et al, (2024), Journal of surgical research, 301, 71 - 79
Decreasing Case Fatality Rates for Patients With Cirrhosis Infected With SARS-CoV-2: A National COVID Cohort Collaborative Study.
Ge J. et al, (2024), Clin gastroenterol hepatol
Long-Term Mortality Following SARS-CoV-2 Infection in Rural Versus Urban Dwellers With Autoimmune or Inflammatory Rheumatic Disease: A Retrospective Cohort Analysis From the National COVID Cohort Collaborative.
Anzalone AJ. et al, (2024), Arthritis care res (hoboken)
Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study.
Butzin-Dozier Z. et al, (2024), Jmir public health surveill, 10
Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
Zhang X. et al, (2024), Open forum infectious diseases, 11
The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia.
Català M. et al, (2024), Lancet respir med, 12, 225 - 236
A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation
Wen A. et al, (2024), Jmir medical informatics, 12