Predicting upturns in COVID19 incidence based on changes in nonamers

Authors

• San Chu, LSU Health Sciences Center - New OrleansFollow
• R.L. Horswell, Pennington Biomedical Research Center, Baton Rouge, LA
• Lucio Miele, LSU Health Sciences Center - New OrleansFollow
• Grace J. Kim, LSU Health Sciences Center - New OrleansFollow
• D. Fort, Ochsner Health System, Baton Rouge, LA
• J. Zhang, Louisiana State University, Baton Rouge, LA

Document Type

Conference Proceeding

Publication Date

9-1-2025

Publication Title

American Journal of the Medical Sciences

Abstract

2025 Southern Regional Meeting, February 13-15, 2025, New Orleans, LA

First Page

S193

Volume

369

Issue

Supplement 1

Comments

Abstract Number: 298

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Chu, San; Horswell, R.L.; Miele, Lucio; Kim, Grace J.; Fort, D.; and Zhang, J., "Predicting upturns in COVID19 incidence based on changes in nonamers" (2025). School of Public Health Faculty Publications. 564.
https://digitalscholar.lsuhsc.edu/soph_facpubs/564
10.1016/S0002-9629(25)00305-2