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P. Einzinger, R. Leskovar, C. Wytrzens:
"A comparison of system dynamics and Markov models for costeffectiveness analysis of chronic diseases";
in: "The 1st International Workshop on Innovative Simulation for Health Care", DIME Università di Genova, Rende, 2012, ISBN: 978-88-97999-13-3, 107 - 114.

To simulate chronic diseases Markov modeling is often
used, but however the System Dynamics (SD)
methodology is also applicable to this task. Both kinds
of simulations can be used to analyse costs and effects
of medical technologies for diseases. In this paper we
perform an exemplary cost-e
ffectiveness analysis for a
smoking cessation programme for chronic obstructive
pulmonary disease (COPD) patients with a simplified
Markov model based on Menn (2009) as well as an
analogue SD model. Such transformations from Markov
models to SD models are always possible and lead to
similar results. However, only the latter is of
incorporating interactions
between different patient
groups.