A multiscale approach for spatially inhomogeneous disease dynamics

Markus Schmidtchen, Oliver Tse, Stephan Wackerle

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1 Citation (Scopus)

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 languageEnglish
Pages (from-to)62-87
Number of pages26
JournalCommunication in Biomathematical Sciences
Volume1
Issue number2
DOIs
Publication statusPublished - 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

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