Accelerated Airborne Virus Spread Simulation: Coupling Agent-based Modeling with GPU-accelerated Computational Fluid Dynamics

Christoph Schinko, Christoph Schinko, Lin Shao, Lin Shao, Johannes Mueller-Roemer, Daniel Weber, Xingzi Zhang, Eugene Lee, Bastian Sander, Bastian Sander, Alexander Steinhardt, Volker Settgast, Volker Settgast, Kan Chen, Marius Erdt, Eva Eggeling, Eva Eggeling

2022

Abstract

The Coronavirus Disease 2019 (COVID-19) has shown us the necessity to understand its transmission mechanisms in detail in order to establish practice in controlling such infectious diseases. An important instrument in doing so are mathematical models. However, they do not account for the spatiotemporal heterogeneity introduced by the movement and interaction of individuals with their surroundings. Computational fluid dynamics (CFD) simulations can be used to analyze transmission on micro- and mesostructure level, however become infeasible in larger scale scenarios. Agent-based modeling (ABM) on the other hand is missing means to simulate airborne virus transmission on a micro- and mesostructure level. Therefore, we present a system that combines CFD simulations with the dynamics given by trajectories from an ABM to form a basis for producing deeper insights. The proposed system is still work in progress; thus we focus on the system architecture and show preliminary results.

Paper Citation

in Harvard Style

Schinko C., Shao L., Mueller-Roemer J., Weber D., Zhang X., Lee E., Sander B., Steinhardt A., Settgast V., Chen K., Erdt M. and Eggeling E. (2022). Accelerated Airborne Virus Spread Simulation: Coupling Agent-based Modeling with GPU-accelerated Computational Fluid Dynamics. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 278-285. DOI: 10.5220/0010904500003124

in Bibtex Style

@conference{grapp22,
author={Christoph Schinko and Lin Shao and Johannes Mueller-Roemer and Daniel Weber and Xingzi Zhang and Eugene Lee and Bastian Sander and Alexander Steinhardt and Volker Settgast and Kan Chen and Marius Erdt and Eva Eggeling},
title={Accelerated Airborne Virus Spread Simulation: Coupling Agent-based Modeling with GPU-accelerated Computational Fluid Dynamics},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={278-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010904500003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - Accelerated Airborne Virus Spread Simulation: Coupling Agent-based Modeling with GPU-accelerated Computational Fluid Dynamics
SN - 978-989-758-555-5
AU - Schinko C.
AU - Shao L.
AU - Mueller-Roemer J.
AU - Weber D.
AU - Zhang X.
AU - Lee E.
AU - Sander B.
AU - Steinhardt A.
AU - Settgast V.
AU - Chen K.
AU - Erdt M.
AU - Eggeling E.
PY - 2022
SP - 278
EP - 285
DO - 10.5220/0010904500003124
PB - SciTePress