Analysis and modelling of global online public interest in multiple other infectious diseases due to the COVID‐19 pandemic
Our study highlights the potential application value of Google Trends and large pre-trained models for infectious disease prediction.
Authors
- Jing Yuan (ORCID: https://orcid.org/0000-0002-8937-9568)
- Zhengyang Wu (ORCID: https://orcid.org/0000-0002-1154-8325)
- Yinyin Xie (ORCID: https://orcid.org/0009-0008-8882-3939)
- Xingyu Wan
- Yang Yang (ORCID: https://orcid.org/0009-0009-5175-7250)
- Rong Qiu (ORCID: https://orcid.org/0009-0003-7516-7876)
- Ning Zhang (ORCID: https://orcid.org/0000-0003-1692-4016)
Institutions
- Anhui Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Journal of Evaluation in Clinical Practice
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1111/jep.14206
- Citations
- 1
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.39