Clinical Characterization, Prediction of Severity of SARS-CoV-2 Infection Among US Adults

JAMA Network Open


Media advisory: The full study and commentary are linked to this news release.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time

About JAMA Network Open: JAMA Network Open is the new online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.


What The Study Did: Researchers used a large data resource of U.S. COVID-19 cases and control patients who tested negative from multiple health systems across the country to evaluate COVID-19 severity and risk factors over time and assess the use of machine learning to predict clinical severity.

Authors: Tellen D. Bennett, M.D., of the University of Colorado School of Medicine in Aurora, and Christopher G. Chute, M.D., of Johns Hopkins University in Baltimore, are corresponding authors.



Editor’s Note: The article includes conflict of interest and funding/support disclosures. Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

#  #  #

For more information, contact JAMA Network Media Relations at 312-464-JAMA (5262) or email media relations.