COVID-19 transmission dynamics: age-specific patterns and super spreaders in South Korea
Analyzing age-specific infection networks is vital for clarifying transmission patterns and susceptibility across different age groups. Our study provides valuable evidence for identifying vulnerable populations and key cohorts that drive dissemination within the infection network. These insights can directly inform policy formulation, particularly in prioritizing vaccination strategies and tailoring age-targeted prevention measures. More broadly, this network-based approach offers a framework for designing effective control strategies against future emerging infectious diseases.
Authors
- Arsen Abdulali (ORCID: https://orcid.org/0000-0001-6874-7782)
- Hayoung Choi (ORCID: https://orcid.org/0000-0002-2348-0030)
- Ganghyun Yoon
- Hyosun Lee
- Sunmi Lee
- Gerardo Chowell
Institutions
- Queen Mary University of London (GB)
- Georgia State University (US)
- Trinity College (CA)
- University of Cambridge (GB)
- Kyungpook National University (KR)
- Kyung Hee University (KR)
Publication Details
- Journal
- BMC Public Health
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1186/s12889-026-26712-x
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00