Understanding human mobility patterns under a public health emergency
These findings highlight the importance of integrating different mobility models to capture the complex human mobility picture by different population groups during an epidemic outbreak. Overall, this study advances our understanding of behavioral adaptations during crises, enhancing preparedness and response planning.
Authors
- Paulo C. Ventura (ORCID: https://orcid.org/0000-0001-8441-9359)
- Nana Chen (ORCID: https://orcid.org/0009-0003-3105-1310)
- Juanjuan Zhang (ORCID: https://orcid.org/0000-0002-8600-754X)
- Bo-Wen Ming (ORCID: https://orcid.org/0000-0001-9564-1115)
- Hongjie Yu (ORCID: https://orcid.org/0000-0002-6335-5648)
- Yao Zuo
- Marco Ajelli (ORCID: https://orcid.org/0000-0003-1753-4749)
- Peng Cheng (ORCID: https://orcid.org/0000-0001-6379-554X)
- Anqi Zhang
Institutions
- Fudan University (CN)
- Digital China Health (China) (CN)
- Shanghai Public Health Clinical Center (CN)
- Ministry of Education (KR)
- Indiana University Bloomington (US)
Publication Details
- Journal
- Infectious Disease Modelling
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1016/j.idm.2025.10.009
- Citations
- 1
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.18