Bergische Universität Wuppertal Fachbereich Mathematik und Naturwissenschaften Angewandte Mathematik - Numerische Analysis

People Research Publications Teaching

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Agenten-basierte Modellierung von ansteckenden Krankheiten

Bachelorarbeit Wirtschaftsmathematik

Betreuung

• Prof. Dr. Matthias Ehrhardt

Kooperation

• Prof. Dr. med. Helmut Brunner

Beschreibung

Schlüsselwörter

Agenten-basierte Modelle, Infektionsszenarien, ...

Literatur:

1. Agent-based models (Wikipedia)
2. A.H. Auchincloss, A.V. Diez Roux, A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health, Am J Epidemiol. 168 (2008), 1-8.
3. C. Carpenter, L. Sattenspiel, The design and use of an agent-based model to simulate the 1918 influenza epidemic at Norway House, Manitoba, Am. J. Hum. Biol. 21 (2009), 290-300.
4. H. Devillers, J.R. Lobry, F. Menu, An agent-based model for predicting the prevalence of Trypanosoma cruzi I and II in their host and vector populations, J Theor Biol. 255 (2008), 307-315.
5. Z. Guo, P.M. Sloot, J.C. Tay, A hybrid agent-based approach for modeling microbiological systems, J. Theor. Biol. 255 (2008), 163-75.
6. N. Hupert, W. Xiong, A. Mushlin, The virtue of virtuality: the promise of agent-based epidemic modeling, Transl Res. 151 (2008), 273-274.
7. B.Y. Lee, V.L. Bedford, M.S. Roberts, K.M. Carley, Virtual epidemic in a virtual city: simulating the spread of influenza in a US metropolitan area, Transl Res. 151 (2008), 275-287.
8. B. Roche, J.F.Guégan, F. Bousquet, Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission, BMC Bioinformatics. 9 (2008), 435.

Software:

1. Vensim PLE

ABM Software:

1. Ascape
2. Flame
3. Mason
4. NetLogo
5. Repast
6. SeSAm
7. Swarm