In the past year, various models of Covid-19 spread have been proposed. While most of these models focused on the replication of the interactions’ processes through which the virus is passed on from infected agent to susceptible ones, less effort has been devoted to the process through which agents modify their behaviour as they adapt to the risks posed by the pandemic. Understanding the way agents respond to Covid19 spread is important as this behavioral response affects the dynamics of virus spread by modifying interaction patterns. In this paper, we present an agent-based model which includes a behavioural module determining the households’ isolation propensity in order to understand the role of various behavioural parameters in the spread of Covid-19.
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