Using Cellular Automata to Compare SARS-CoV-2 Infectiousness in Different POIs and Under Different Conditions

In this paper, we propose a stochastic model based on cellular automata and graphs to explore the spread of infectious viruses (like SARS-CoV-2) in closed rooms. We also present a simulator implementing this model which allows studying how different policies affect the spread of viruses. As we show, the simulator can be used to explore scenarios in various points of interest (POIs) like shops, public trams or fitness centres. It could be useful for policymakers to check (by changing the parameters of the simulations) the effectiveness of different regulations like limiting the maximum occupancy of POIs and mandating the usage of face masks to decrease the spread of aerosols. The simulator can also be used to compare the hazard level that different kinds of POIs pose. Also, the simulations can be visualised and showed to the public to increase support for the introduced measures and obedience to restrictions.