Year: 2024
Type: dissertation
Abstract: This work presents a modeling approach for the transmission of pathogens such as the coronavirus. A transmission model is integrated into agent-based crowd models, which permits the analysis of specific spreading events. The simulator is open-source. Reenacting superspreading events and predicting individual exposure risks for various scenarios using uncertainty quantification methods support the model's validity.
Author: Rahn, Simon Andreas
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W6904826545
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