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We consider a Spatial Markov Chain model for the spread of viruses. The modelis based on the principle to represent a graph connecting nodes, whichrepresent humans. The vertices between the nodes represent relations betweenhumans. In this way, a graph is connected in which the likelihood of infectiousspread from person to person is determined by the intensity of interpersonalcontact. Infectious transfer is determined by chance. The model is extended toincorporate various lockdown scenarios.

A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses