ORIGINAL RESEARCH article
Front. Appl. Math. Stat.
Sec. Mathematical Biology
Volume 11 - 2025 | doi: 10.3389/fams.2025.1608265
This article is part of the Research TopicIntegrative Mathematical Models for Disease: Volume IIView all articles
Individual-based Multiscale Model for Foot-and-Mouth disease
Provisionally accepted- 1National University of Science and Technology, Bulawayo, Zimbabwe
- 2Sol Plaatje University, Kimberley, South Africa
- 3University of South Africa, Pretoria, South Africa
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The study of infectious disease dynamics across various hierarchical levels and scales of organization has gained significant attention in the realm of mathematical biology. This surge in interest has been facilitated by an innovative approach known as multiscale modelling, which provides fresh perspectives on the dynamics of infectious disease systems. In this study we develop a network-based individual multiscale model of footand-mouth disease (FMD) in cattle as based on the replication-transmission relativity theory at whole living organism level. Such multiscale models integrate the withinwhole living organism and between-whole living organism scales of infectious disease systems. An important feature of individual-based network multiscale models is that they incorporate heterogeneity in [i.] host susceptibility to infection, [ii.] the ability of hosts to transmit pathogen to other hosts, [iii.] host immune response, and [iv.] host behaviour. The aim of this study is to establish the influence of heterogeneity on disease dynamics. We use the reproduction number as the metric for disease dynamics to
Keywords: network modelling, Foot-and-Mouth Disease, Multiscale modelling, stochastic differential equations, Spatial network
Received: 08 Apr 2025; Accepted: 27 Jun 2025.
Copyright: © 2025 Mufoya, Garira and Mathebula. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Blessings Mufoya, National University of Science and Technology, Bulawayo, Zimbabwe
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