Variance in system dynamics and agent based modelling using the SIR model of infectious diseases

Ahmed, Aslam and Greensmith, Julie and Aickelin, Uwe (2012) Variance in system dynamics and agent based modelling using the SIR model of infectious diseases. In: Proceedings of the 26th European Conference on Modelling and Simulation (ECMS), 29 May - 1 June 2012, Koblenz, Germany.

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Classical deterministic simulations of epidemiological processes, such as those based on System Dynamics, produce a single result based on a fixed set of input parameters with no variance between simulations. Input parameters are subsequently modified on these simulations using Monte-Carlo methods, to understand how changes in the input parameters affect the spread of results for the simulation. Agent Based simulations are able to produce different output results on each run based on knowledge of the local interactions of the underlying agents and without making any changes to the input parameters. In this paper we compare the influence and effect of variation within these two distinct simulation paradigms and show that the Agent Based simulation of the epidemiological SIR (Susceptible, Infectious, and Recovered) model is more effective at capturing the natural variation within SIR compared to an equivalent model using System Dynamics with Monte-Carlo simulation. To demonstrate this effect, the SIR model is implemented using both System Dynamics (with Monte-Carlo simulation) and Agent Based Modelling based on previously published empirical data.

Item Type: Conference or Workshop Item (Paper)
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 18 Jul 2013 10:26
Last Modified: 13 Sep 2016 22:03

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