Predicting the incidence of common intestinal infectious diseases in Changzhou, China based on environmental factors and deep learning
The STL-T-L model can effectively predict the common intestinal infectious diseases and can be used as a tool for monitoring and early warning of intestinal infectious diseases in Changzhou.
Authors
- Qiao Lei
- Fang Yao (ORCID: https://orcid.org/0009-0004-8539-1254)
- Qing‐Hai Fan (ORCID: https://orcid.org/0000-0001-6840-2469)
- Sipeng Shen (ORCID: https://orcid.org/0000-0003-0436-4736)
- Jinglan Dai
- Hao Hong
- Jingyi Zhao (ORCID: https://orcid.org/0000-0002-3125-2716)
- Xianzhi Zheng
- Yixin Zhang
Institutions
- Ministry of Education (KR)
- Nanjing Municipal Center for Disease Control And Prevention (CN)
- Changzhou University (CN)
- Institute of Advanced Manufacturing Technology (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1186/s12889-025-25998-7
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00