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Titel:

Toward unraveling airborne pathogen transmission in crowds: Parameter study for an agent-based exposure model

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Rahn, Simon; Köster, Gerta; Bungartz, Hans-Joachim
Abstract:
The coronavirus disease 2019 (COVID-19) pandemic has put forth the integration of pathogen transmission into microscopic crowd models to simulate the exposure risk for individuals. However, it is crucial to account for uncertainties in the model input as long as we lack data, particularly regarding airborne transmission of the coronavirus. In this study, we quantify uncertainties in such simulations to increase their reliability and informative value. We consider this an integral aspect of model...     »
Stichworte:
uncertainty quantification, sensitivity analysis, forward propagation, agent-based modeling, infectious disease, crowd dynamics
Zeitschriftentitel:
Safety Science
Jahr:
2024
Band / Volume:
175
Seitenangaben Beitrag:
106524
Sprache:
en
Volltext / DOI:
doi:10.1016/j.ssci.2024.106524
Verlag / Institution:
Elsevier BV
E-ISSN:
0925-7535
Eingereicht (bei Zeitschrift):
20.07.2023
Angenommen (von Zeitschrift):
03.04.2024
Publikationsdatum:
01.07.2024
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