Incidence of acute hemorrhagic conjunctivitis in Chongqing: a forecasting study based on mathematical models
In comparison with the other four models, the SARIMA-KNN hybrid model effectively integrates the temporal characteristics of AHC incidence. It offers the technical support for the development of early warning systems and the formulation of prevention and control strategies in Chongqing. This approach holds substantial practical significance in the field of public health.
Authors
- Xiaobing Xian
- Shengjie Wu (ORCID: https://orcid.org/0000-0002-0402-8110)
- Ying Fu (ORCID: https://orcid.org/0000-0002-1590-3945)
- Y.T. Chen
- Zhengmeng Hou (ORCID: https://orcid.org/0000-0002-8544-7172)
- Yan Cheng (ORCID: https://orcid.org/0000-0003-4169-307X)
- Xiaoli Fan (ORCID: https://orcid.org/0000-0001-6153-5648)
- Li Zeng
Institutions
- Chongqing Technology and Business University (CN)
- Chongqing University (CN)
- Third People 's Hospital of Chongqing (CN)
- Chongqing Emergency Medical Center (CN)
- Chongqing Public Health Medical Center (CN)
- First People's Hospital of Chongqing (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-10-10
- DOI
- https://doi.org/10.3389/fpubh.2025.1644729
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Chongqing Municipal Health Commission