  A deterministic pathogen transmission model based on high-fidelity physics
has been developed. The model combines computational fluid dynamics and
computational crowd dynamics in order to be able to provide accurate tracing of
viral matter that is exhaled, transmitted and inhaled via aerosols. The
examples shown indicate that even with modest computing resources, the
propagation and transmission of viral matter can be simulated for relatively
large areas with thousands of square meters, hundreds of pedestrians and
several minutes of physical time. The results obtained and insights gained from
these simulations can be used to inform global pandemic propagation models,
increasing substantially their accuracy.
