Optimizing spatiotemporal nonpharmaceutical interventions for influenza: An adaptive reinforcement learning approach for regional heterogeneity
The SEIQR-Dueling DQN framework supports tailored interventions across regions and shows promise for broader application in the management of regional heterogeneity and future emerging infectious diseases.
Authors
- Tao Zhang (ORCID: https://orcid.org/0000-0001-7535-1161)
- H Wang
- Yuxing Tian (ORCID: https://orcid.org/0009-0007-4808-3350)
- Xin Li (ORCID: https://orcid.org/0000-0003-1139-356X)
- Heng Yuan
Institutions
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- Science and Technology Department of Sichuan Province (CN)
- Sichuan Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- Infectious Disease Modelling
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1016/j.idm.2025.10.001
- Citations
- 2
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 2.74