Developing Machine Learning Prediction Model for Daily Influenza Reported Cases Using Multichannel Surveillance Data — A City, Hubei Province, China, 2023–2025
Data from various surveillance systems effectively track influenza epidemics. The model shows potential for infectious disease surveillance and epidemic preparedness.
Authors
- Quanyu Wang (ORCID: https://orcid.org/0000-0003-0120-1237)
- Beibei Liu (ORCID: https://orcid.org/0000-0003-3788-018X)
- Qi Wang (ORCID: https://orcid.org/0000-0001-8526-829X)
- Sheng Wei
- Xinyue Zhang (ORCID: https://orcid.org/0009-0005-5743-8649)
- Sang Xinyi
- Zuo Xiuran
Institutions
- Southern University of Science and Technology (CN)
- Wuhan College (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- China CDC Weekly
- Published
- 2025-01-01
- DOI
- https://doi.org/10.46234/ccdcw2025.234
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China