Blowing away risk: Integrating airflow into a model for simulating infection spread in moving crowds

During the COVID-19 pandemic, airflow proved essential for reducing indoor infection risk. To observe its effect, we present a fast, efficient simulation model, combining crowd and infection modeling with airflow. In an example scenario, pathogen exposure was reduced by a factor of 25 through airflow integration.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-12
DOI
https://doi.org/10.1051/epjconf/202533404005/pdf
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
0.00
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article

Blowing away risk: Integrating airflow into a model for simulating infection spread in moving crowds

Gerta Köster, Sophia Johanna Wagner
Springer Link (Chiba Institute of Technology)
Infection Control and Ventilation
article

Blowing away risk: Integrating airflow into a model for simulating infection spread in moving crowds

Gerta Köster, Sophia Johanna Wagner
article en

Abstract

During the COVID-19 pandemic, airflow proved essential for reducing indoor infection risk. To observe its effect, we present a fast, efficient simulation model, combining crowd and infection modeling with airflow. In an example scenario, pathogen exposure was reduced by a factor of 25 through airflow integration.

Springer Link (Chiba Institute of Technology)
Good health and well-being
Openalex Percentile: Top 25%
Infection Control and Ventilation
DOISourceOpenAlex
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Blowing away risk: Integrating airflow into a model for simulating infection spread in moving crowds — Gerta Köster, Sophia Johanna Wagner · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS