Abstract
In this paper we introduce an agent-based epidemiological model that generalizes the classical SIR model by Kermack and McKendrick. We further provide a multiscale approach to the derivation of a macroscopic counterpart via the mean-field limit. The chain of equations acquired via the multiscale approach is investigated, analytically as well as numerically. The outcome of these results provides strong evidence of the models’ robustness and justifies their practicality in describing disease dynamics, in particularly when mobility is involved. The numerical results provide further insights into the applicability of the different scaling limits.
Original language | English |
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Pages (from-to) | 62-87 |
Number of pages | 26 |
Journal | Communication in Biomathematical Sciences |
Volume | 1 |
Issue number | 2 |
DOIs | |
Publication status | Published - 10 Dec 2018 |
Bibliographical note
Publisher Copyright:© 2018 Published by Bio Mathematical Society,.
Keywords
- agent-based models
- disease dynamics
- Epidemiology
- mean-field limit
- multiscale modeling
- stochastic dynamics