Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam.
|dc.contributor.author||Sloot, Peter M. A.|
|dc.identifier.citation||Mei, S., Sloot, P. M. A., Quax, R., Zhu, Y., & Wang, W. (2009). Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam. Mathematics and Computers in Simulation, 80(5), 1018-1030.||en_US|
|dc.description.abstract||Simulating the spreading of the human immunodeficiency virus (HIV) epidemic requires a detailed description of the population network, especially for small populations in which individuals can be represented in detail and accuracy. In this paper, we introduce the concept of a complex agent network (CAN) to model the HIV epidemic by combining multi-agent systems and complex networks, in which agents represent individuals who can have sexual interactions. The applicability of CANs is demonstrated by constructing and executing a detailed HIV epidemic model for men who have sex with men (MSM) in Amsterdam, including a distinction between steady and casual relationships. We focus on MSM contacts because they play an important role in HIV epidemics and have been tracked in Amsterdam for a long time. Our experiments show good correspondence between the historical data of the Amsterdam cohort study and the simulation results.||en_US|
|dc.relation.ispartofseries||Mathematics and computers in simulation||en_US|
|dc.rights||© 2009 IMACS.||en_US|
|dc.title||Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam.||en_US|
|dc.contributor.school||School of Computer Engineering||en_US|
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