Conference paper Open Access

3D Agent-Based Model of pedestrian movements for simulating COVID-19 transmission in university students

Castro, David Alvarez; Ford, Alistair

COVID-19, a new infectious disease, constitutes a threat to humanity due to its easy transmissibility. Measures, such as the use of facemasks, lockdowns and self-isolation, have been put in place to keep the population safe, but their efficiencies should be tested. Agent-Based Modelling constitutes an interesting tool to analyse the efficiencies of these measures in society, taking into account the spatio- temporal interactions agents have during their daily routines. In this paper, the transmission of COVID-19 and restrictions applied to students living in student accommodations are simulated and tested to identify their effectiveness in controlling the spread of the pandemic.

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