Analysis of factors influencing hemorrhagic fever with renal syndrome and its prediction in Weifang, China from 2013 to 2021
Climate, economic, and anthropogenic factors drive the spread of HFRS. Prevention strategies should integrate local economic conditions with meteorological and anthropogenic factors. Bayesian time-series modeling effectively predicts HFRS trends, supporting precision prevention strategies.
Authors
- Qiyong Liu (ORCID: https://orcid.org/0000-0003-4066-7988)
- Wanying Zhao (ORCID: https://orcid.org/0000-0002-6339-3927)
- Yi‐Han Shi
- Hui Zhang (ORCID: https://orcid.org/0000-0003-3620-610X)
- Jing Li (ORCID: https://orcid.org/0000-0003-0639-9422)
- Yanqing Yang (ORCID: https://orcid.org/0000-0002-1216-0568)
- Xueyan Guo
Institutions
- Weifang Medical University (CN)
- People’s Hospital of Rizhao (CN)
- National Institute for Communicable Disease Control and Prevention (CN)
Publication Details
- Journal
- Osong Public Health and Research Perspectives
- Published
- 2025-12-30
- DOI
- https://doi.org/10.24171/j.phrp.2025.0367
- Primary Topic
- Viral Infections and Vectors
- Type
- article
- Field-Weighted Citation Impact
- 0.00