Predicting influenza in China from October 1, 2023, to February 5, 2024: A transmission dynamics model based on population migration
Our method is applicable for short-term and medium-term influenza predictions. As the spring festival travel rush approaches. Therefore, it is advisable to advocate for nonpharmaceutical interventions (NPIs), influenza vaccination, and other measures to reduce healthcare and public health burden.
Authors
- Tianmu Chen (ORCID: https://orcid.org/0000-0003-0710-5086)
- Yichao Guo
- Huimin Qu
- Kun Su (ORCID: https://orcid.org/0000-0002-7793-1853)
- Kang Fang (ORCID: https://orcid.org/0000-0002-8233-1182)
- Jia Rui (ORCID: https://orcid.org/0000-0001-8738-0066)
- Tao Li (ORCID: https://orcid.org/0000-0002-7988-3090)
- Hongjie Wei
- Jiadong Wu (ORCID: https://orcid.org/0000-0002-0626-4870)
- Xiaohao Guo (ORCID: https://orcid.org/0000-0002-8595-4641)
Institutions
- Xiamen University (CN)
- Xian Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- Infectious Disease Modelling
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1016/j.idm.2024.09.007
- Citations
- 5
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.93
Funders
- Chongqing Science and Technology Commission
- National Key Research and Development Program of China