Derivation of macroscopic epidemic models from multi-agent systems
Abstract
We present a systematic review of some basic results on the derivation of classical epidemiological models from simple agent-based dynamics. The evolution of large populations is coupled with the dynamics of the contact distribution, providing insights into how individual behaviours impact macroscopic epidemiological trends. The resulting set of equations incorporates local characteristics of the operator governing the emergence of a family of contact distributions. To validate the proposed approach, we provide several numerical results based on asymptotic-preserving methods, demonstrating their effectiveness in capturing the multi-scale nature of the problem and ensuring robust performance across different regimes.
Fields of Study & Subjects
Complex Network Analysis Techniques
Data Stream Mining Techniques
COVID-19 epidemiological studies
Publication details
- Journal / source
- EMS series of congress reports
- Publisher
- EMS Press
- Pages
- 257–275
- Publication date
- 20 June 2026
- Language
- EN
- Document type
- Book chapter