Improving influenza prediction in Quanzhou, China: an ARIMAX model integrated with meteorological drivers
Incorporating meteorological factors significantly improves the accuracy of influenza forecasting models. These findings support the development of climate-informed early warning systems and targeted public health interventions in subtropical regions.
Authors
- Jiangyi Liu
- Xueqi Chen (ORCID: https://orcid.org/0000-0002-6648-4584)
- Fengping Li (ORCID: https://orcid.org/0000-0001-9668-1602)
- Huanrong Li (ORCID: https://orcid.org/0000-0002-0120-0616)
- X. T. Huang (ORCID: https://orcid.org/0000-0001-8810-4071)
- Huanhuan Pan
- Weiming Wang
- Xiaoxiong Yang
Institutions
- Fujian Medical University (CN)
- Quanzhou Normal University (CN)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-10-22
- DOI
- https://doi.org/10.3389/fpubh.2025.1662775
- Citations
- 1
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.20