  Modeling and simulation of disease spreading in pedestrian crowds has been
recently become a topic of increasing relevance. In this paper, we consider the
influence of the crowd motion in a complex dynamical environment on the course
of infection of the pedestrians. To model the pedestrian dynamics we consider a
kinetic equation for multi-group pedestrian flow based on a social force model
coupled with an Eikonal equation. This model is coupled with a non-local SEIS
contagion model for disease spread, where besides the description of local
contacts also the influence of contact times has been modelled. Hydrodynamic
approximations of the coupled system are derived. Finally, simulations of the
hydrodynamic model are carried out using a mesh-free particle method. Different
numerical test cases are investigated including uni- and bi-directional flow in
a passage with and without obstacles.
