Evaluating Large Language Models’ Potential in Field Epidemiology Investigation Based on Chinese Context— Zhejiang Province, China, 2025
LLMs demonstrate promising potential for supporting epidemiological investigations. Nevertheless, current LLMs cannot replace human expertise in field epidemiology. Their practical implementation faces considerable challenges, including ensuring output accuracy and reliability. Future efforts should prioritize optimizing performance through verified knowledge databases and establishing robust regulatory frameworks to enhance their effectiveness in public health applications.
Authors
- Tao Zhang (ORCID: https://orcid.org/0000-0002-7897-0205)
- Chen Wu (ORCID: https://orcid.org/0000-0001-9823-6158)
- Yujia Zhai (ORCID: https://orcid.org/0000-0002-0040-9821)
- Qifeng Zhao (ORCID: https://orcid.org/0000-0002-0751-1765)
- Lin Jun-fen (ORCID: https://orcid.org/0000-0002-3184-2070)
- Xue Gu (ORCID: https://orcid.org/0009-0000-1243-308X)
- Le Xu
- Dai Yaxin (ORCID: https://orcid.org/0000-0002-8983-5279)
- Wu Mengna (ORCID: https://orcid.org/0000-0001-8313-3762)
Institutions
- Xian Center for Disease Control and Prevention (CN)
- Zhoushan Hospital (CN)
- Zhejiang Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- China CDC Weekly
- Published
- 2025-01-01
- DOI
- https://doi.org/10.46234/ccdcw2025.220
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00