Why did individuals seeking COVID-19 advice return to internet hospitals for follow-up in the early pandemic: Insights from machine learning
Machine learning may help identify factors influencing the choice of internet hospitals for follow-up consultations. Integrating the Health Belief Model enables a more nuanced understanding of individuals' online consultation behaviors. Optimizing triage services could enhance the quality and accessibility of internet hospitals, offering valuable insights for future public health events.
Authors
- Qiang Wang (ORCID: https://orcid.org/0000-0003-0000-9139)
- Ling Yang (ORCID: https://orcid.org/0000-0002-5506-7021)
- Tong Su (ORCID: https://orcid.org/0000-0002-3853-8506)
- Xiaopu Zhang (ORCID: https://orcid.org/0000-0002-9647-1477)
Institutions
- Soochow University (CN)
- Changzhou No.2 People's Hospital (CN)
- Changzhou Third People's Hospital (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s12889-025-25137-2
- Citations
- 1
- Primary Topic
- COVID-19 Digital Contact Tracing
- Type
- article
- Field-Weighted Citation Impact
- 3.25