Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model
The Baidu Search Index could be used in the early warning and predicting the epidemic trend of COVID-19, but the search keywords changed in different period. Considering the time lag from onset to diagnosis, especially in the areas with medical resources shortage, internet search data can be a highly effective supplement of the existing surveillance system.
Authors
- Yihong Xie (ORCID: https://orcid.org/0000-0002-6734-0777)
- Wanwan Zhou
- Daizheng Huang (ORCID: https://orcid.org/0000-0003-0245-6303)
- Qiuyu Liang
- Tengda Huang (ORCID: https://orcid.org/0000-0002-4056-7584)
- Xiaomin Wang (ORCID: https://orcid.org/0000-0002-1761-7459)
- Shiwen Chen (ORCID: https://orcid.org/0000-0003-2850-5310)
- Yuxia Wei
- Litai Qin
- Lu Liu (ORCID: https://orcid.org/0000-0002-2743-1527)
- Hengyan Pei
Institutions
- Guangxi Medical University (CN)
- Guangxi University of Chinese Medicine (CN)
- The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1186/s12879-024-09940-7
- Citations
- 6
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 2.37