Epidemiological trends of laboratory-confirmed influenza cases driven by meteorological factors in Anhui Province, China: a multi-city time-series analysis
In conclusion, while MFs showed non-significant associations with influenza in general population, sub-group analysis showed statistically significant temperature-LCI cases association. Population density marginally modified this association. Our findings enhance evidence-based knowledge for developing targeted interventions like early warning systems to reduce influenza risks.
Authors
- Peng Wang (ORCID: https://orcid.org/0000-0002-7877-5557)
- Sai Hou
- Jun He (ORCID: https://orcid.org/0000-0002-0463-7063)
- Harry Asena Musonye (ORCID: https://orcid.org/0000-0002-8372-7322)
- Wei Chen (ORCID: https://orcid.org/0000-0002-2901-5156)
- Yisheng He (ORCID: https://orcid.org/0000-0002-2217-6758)
- Lei Gong (ORCID: https://orcid.org/0000-0001-8430-2329)
- Junling Yu
- Pan Haifeng
Institutions
- Anhui Medical University (CN)
- HUI Research (Sweden) (SE)
- Anhui Provincial Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1186/s12889-025-24182-1
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Anhui Medical University