Publication | Open Access

A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains

Infectious Disease ModellingLong-distance TrainsViral DynamicEpidemiological DynamicCovid-19 Infection ProbabilityDisease TransmissionModeling And SimulationComputational EpidemiologyInfection ControlMedicineTransportation EngineeringEpidemiologyCovid-19Wells-riley Model