A System Dynamics Model Approach for Simulating Hyper-inflammation in Different COVID-19 Patient Scenarios

Vladimir Estivill-Castro, Enrique Hernández-Jiménez, Enrique Hernández-Jiménez, David Nettleton

2021

Abstract

The exceptionally high virulence of COVID-19 and the patients’ precondition seem to constitute primary factors in how pro-inflammatory cytokines production evolves during the course of an infection. We present a System Dynamics Model approach for simulating the patient reaction using two key control parameters (i) virulence, which can be “moderate” or “high” and (ii) patient precondition, which can be “healthy”, “not so healthy” or “serious preconditions”. In particular, we study the behaviour of Inflammatory (M1) Alveolar Macrophages, IL6 and Active Adaptive Immune system as indicators of the immune system response, together with the COVID viral load over time. The results show that it is possible to build an initial model of the system to explore the behaviour of the key attributes involved in the patient condition, virulence and response. The model suggests aspects that need further study so that it can then assist in choosing the correct immunomodulatory treatment, for instance the regime of application of an Interleukin 6 (IL-6) inhibitor (tocilizumab) that corresponds to the projected immune status of the patients. We introduce machine learning techniques to corroborate aspects of the model and propose that a dynamic model and machine learning techniques could provide a decision support tool to ICU physicians.

Paper Citation

in Harvard Style

Estivill-Castro V., Hernández-Jiménez E. and Nettleton D. (2021). A System Dynamics Model Approach for Simulating Hyper-inflammation in Different COVID-19 Patient Scenarios. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-528-9, pages 141-153. DOI: 10.5220/0010600301410153

in Bibtex Style

@conference{simultech21,
author={Vladimir Estivill-Castro and Enrique Hernández-Jiménez and David Nettleton},
title={A System Dynamics Model Approach for Simulating Hyper-inflammation in Different COVID-19 Patient Scenarios},
booktitle={Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2021},
pages={141-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010600301410153},
isbn={978-989-758-528-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A System Dynamics Model Approach for Simulating Hyper-inflammation in Different COVID-19 Patient Scenarios
SN - 978-989-758-528-9
AU - Estivill-Castro V.
AU - Hernández-Jiménez E.
AU - Nettleton D.
PY - 2021
SP - 141
EP - 153
DO - 10.5220/0010600301410153