A comparative study of time series foundation models for hand, foot, and mouth disease forecasting: TimesFM, Moirai, and traditional approaches
Time series foundation models can effectively predict HFMD outbreaks. While these models require more computational resources, their zero-shot capabilities simplify the forecasting process by eliminating the need for retraining.
Authors
- C.-H Chen
- Yanqin Wang (ORCID: https://orcid.org/0000-0001-5056-1963)
- Guoyu Huang (ORCID: https://orcid.org/0000-0003-2277-2995)
- Ximing Xu (ORCID: https://orcid.org/0000-0002-7113-6226)
- Qiu Li
Institutions
- China International Science and Technology Cooperation (CN)
- Children's Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3389/fpubh.2025.1634138
- Primary Topic
- Viral Infections and Immunology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China