Non-linear correlation analysis between internet searches and epidemic trends
This study enriches the understanding of epidemic transmission mechanisms by quantifying the dynamic interaction between public search behavior and epidemic spread. Compared to simple prediction models, this study focuses more on stable common mechanisms and structural analysis, laying a foundation for future research on public health events.
Authors
- F. Huang (ORCID: https://orcid.org/0000-0002-6014-5928)
- Yang Wang (ORCID: https://orcid.org/0000-0001-7322-4062)
- Yixue Xia
- Yu He (ORCID: https://orcid.org/0000-0003-0425-4529)
- Lingshi Ran
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-04-04
- DOI
- https://doi.org/10.3389/fpubh.2025.1435513
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Baidu
- Ministry of Public Security of the People's Republic of China
- National Health Commission of the People's Republic of China