Conference Paper (international conference)
, , , , , , , , , , , ,
: Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021), p. 263-268 , Eds: Brejová B., Ciencialová L., Holeňa M., Mráz F., Pardubská D., Plátek M., Vinař T.
: ITAT 2021: Information Technologies - Applications and Theory /21./, (Heľpa, SK, 20210924)
: TL04000282, GA TA ČR
: agent based modelling, epidemic modelling, non-pharmaceutical interventions
: https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper12.pdf
(eng): 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 nonpharmaceutical 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.
: IN
: 10201