A mobility-adjusted framework for regional Rt estimation: enhancing spatial interpretation of transmission dynamics
This study presents a mobility-adjusted framework for estimating [Formula: see text] that incorporates inter-regional movement to better capture spatial transmission dynamics. The method mitigates inflated estimates in low-incidence areas and identifies mobility-driven risks in highly connected regions, offering context-aware insights beyond conventional approaches. While not universally superior, it complements existing methods and provides a practical tool for geographically targeted interventions, adaptable to diverse epidemiological settings where spatial connectivity shapes outbreaks.
Authors
- Arsen Abdulali (ORCID: https://orcid.org/0000-0001-6874-7782)
- Byul Nim Kim
- Jeongwon Jo (ORCID: https://orcid.org/0000-0003-1318-3937)
- Young Kim (ORCID: https://orcid.org/0000-0003-4991-8704)
- Sunmi Lee (ORCID: https://orcid.org/0000-0003-1126-0660)
- Gerardo Chowell
Institutions
- Queen Mary University of London (GB)
- Georgia State University (US)
- University of Cambridge (GB)
- Kyung Hee University (KR)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1186/s12879-025-11889-0
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea