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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

B. Glock, G. Zauner, P. Einzinger:
"Compartment Modelling of Obesity in Inhomogeneous Populations: Problems and Alternative Approaches";
Vortrag: EUROSIM 2010 - 7th Congress on Modelling and Simulation, Prague, Czech Republic; 06.09.2010 - 10.09.2010; in: "Proceedings of the 7th Congress on Modelling and Simulation", M. Snorek, Z. Buk, M. Cepek, J. Drchal (Hrg.); Vol.2 Full Papers (2010), ISBN: 978-80-01-04589-3; S. 777 - 783.



Kurzfassung englisch:
Introduction: Obesity is a chronic disease defined as the presence of excess adipose tissue and it is a national and also worldwide problem with a lot of consequences for health, like coronary heart disease, diabetes mellitus type 2 and even death. It is a very complex problem and to work against this epidemic, it is important to understand the mechanisms influencing this disease.
Methods: This paper is about different modeling approaches in the area of differential equations, Markov Models and System Dynamics Models found in the literature, their advantages and disadvantages.
Results: Some of the described models divide the population into sex, age or severity degree of the disease, which is important, since there is, for example a difference in the basal metabolic rate for persons with different age, sex and weight, but no model divides into all dimensions together. One alternative approach is proposed, describing an Agent Based Model that includes all dimensions when studying such a complex system. Advantages and disadvantages of the proposal in contrary to System Dynamics Modeling are shortly discussed.
Conclusion: When it comes to modeling complex systems it is necessary to make decisions about what is required to be displayed from the real world in our models.

Schlagworte:
System Dynamics, obesity, Markov Models, Agent Based Modeling

Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.