Version 3 (current) | Version 2 | Version 1
Last Update: December 20, 2023
This repository contains code and findings from a comprehensive study conducted by people from the University of California, Davis, and the University of Michigan, Ann Arbor. The study focuses on modeling and predicting H5N1 bird flu outbreaks in the United States at the county level, utilizing diverse statistical techniques and machine learning models.
- Weilin Cheng (
)
- Hengyuan Liu (
)
- Kathy Mo (
)
- Sida Tian (
)
- Li Yuan (
)
