A framework using large time series model for early warning of infectious diseases
We propose a readily deployable early warning framework characterized by strong generalization ability and exceptional performance, which would enlighten the epidemic modeling researchers.
Authors
- Zhidong Cao (ORCID: https://orcid.org/0000-0001-5936-6822)
- Peng Yang (ORCID: https://orcid.org/0000-0002-3519-0276)
- Tianyi Luo (ORCID: https://orcid.org/0000-0002-9497-7044)
- Quanyi Wang (ORCID: https://orcid.org/0000-0001-9552-2503)
- Xiaoli Wang (ORCID: https://orcid.org/0000-0003-0682-2219)
- Yajie Liu (ORCID: https://orcid.org/0000-0002-2323-0234)
Institutions
- Chinese Academy of Sciences (CN)
- Shandong Institute of Automation (CN)
- Beijing Center for Disease Prevention and Control (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Infectious Disease Modelling
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1016/j.idm.2025.08.006
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00