  A high fidelity model for the propagation of pathogens via aerosols in the
presence of moving pedestrians is proposed. The key idea is the tight coupling
of computational fluid dynamics and computational crowd dynamics in order to
capture the emission, transport and inhalation of pathogen loads in space and
time. An example simulating pathogen propagation in a narrow corridor with
moving pedestrians clearly shows the considerable effect that pedestrian motion
has on airflow, and hence on pathogen propagation and potential infectivity.
