Abstract
The standard SEIR equation-based models represent the state-of-the-art approach in epidemiological modelling. Their drawbacks include unrealistic infection-related contact estimates and difficulties in modelling non-pharmaceutical interventions, such as contact reductions or partial closures.
In this paper, we present our agent-based model that addresses the above-mentioned issues. It works with a population of individuals (agents) and their contacts are modelled as a multi-graph social network according to real data based on a Czech county.
Custom algorithmic procedures simulating testing, quarantine and partial closures of various contact types are implemented. The model can serve as a tool for relative comparison of the efficacy of various policies.
It was also used for a study comparing various interventions in Czech primary and secondary schools, using a graph based on real data from a selected Czech school.