Separation of Concerns in an Edge-Based Compartmental Modeling Framework

A. Guifo Fodjo, A. Guifo Fodjo, Jerry Zeutouo, Jerry Zeutouo, Samuel Bowong, Samuel Bowong

2023

Abstract

A well-known framework with strong potential for epidemic prediction and the ability to incorporate realistic contact structures is edge-based compartmental modeling (EBCM). However, models built from this framework lead to a multiplication of ordinary differential equations and many parameters to be estimated, which make the models complex and difficult to extend or to reuse. The Kendrick approach has shown promising results in generalizing compartmental models to take into account aspects of contact networks while preserving the separation of concerns, thus allowing to define modular, extensible and reusable models. But this generalization of compartmental models to contact network aspects is still limited to a few contact networks. In this paper, we present an attempt to extend Kendrick’s approach from an approximation of EBCM models to further support aspects of contact networks, thereby improving the predictive quality of models with significant heterogeneity in contact structure, while maintaining the simplicity of compartmental models. This extension consists of an integration of the basic reproductive number R0 into the compartmental SIR framework. This attempted is validated using Miller’s mass action and the approximation of EBCM configuration model.

Paper Citation

in Harvard Style

Guifo Fodjo A., Zeutouo J. and Bowong S. (2023). Separation of Concerns in an Edge-Based Compartmental Modeling Framework. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-631-6, SciTePress, pages 262-269. DOI: 10.5220/0011780200003414

in Bibtex Style

@conference{bioinformatics23,
author={A. Guifo Fodjo and Jerry Zeutouo and Samuel Bowong},
title={Separation of Concerns in an Edge-Based Compartmental Modeling Framework},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS},
year={2023},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011780200003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS
TI - Separation of Concerns in an Edge-Based Compartmental Modeling Framework
SN - 978-989-758-631-6
AU - Guifo Fodjo A.
AU - Zeutouo J.
AU - Bowong S.
PY - 2023
SP - 262
EP - 269
DO - 10.5220/0011780200003414
PB - SciTePress