A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. - Sihang Jiang; Johanna Loomba; Andrea Zhou; Suchetha Sharma; Saurav Sengupta; Donald E. Brown (ICMLA, 2023)

Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. - Shawn T. O'Neil; Charisse R. Madlock-Brown; Kenneth Wilkins; Brenda M. McGrath; Hannah E. Davis; Gina S. Assaf; Hannah Wei; Parya Zareie; Evan T. French; Johanna Loomba; Julie A. McMurry; Andrea Zhou; et al. (npj Digit. Medicine, 2024)

Code for Publication: Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID. - Emily Hadley; Yun Jae Yoo; Saaya Patel; Andrea Zhou; Bryan Laraway; Rachel Wong; Alexander Preiss; Hannah E. Davis; Daniel Brannock; Christopher G. Chute; Emily R. Pfaff; Johanna Loomba; et al. (Zenodo, 2024)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)