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Derivation of macroscopic epidemic models from multi-agent systems

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arxiv 2410.08610 v1 pith:4MDD2OFH submitted 2024-10-11 q-bio.PE nlin.AOphysics.soc-ph

classification q-bio.PEnlin.AOphysics.soc-ph
keywords contactderivationdynamicsepidemiologicalmacroscopicmodelsresultsacross
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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 behaviors 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.

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Cited by 1 Pith paper

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  1. Control of Overpopulated Tails in Kinetic Epidemic Models

    math.OC 2025-01 conditional novelty 5.0 of 10

    A multiplicative control on interaction strength converts fat-tailed contact distributions into slim-tailed ones in a kinetic SIR model, reducing epidemic spread more effectively than additive control.

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