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Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam

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  • Mei, Shan
  • Sloot, P.M.A.
  • Quax, Rick
  • Zhu, Yifan
  • Wang, Weiping

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.

Suggested Citation

  • Mei, Shan & Sloot, P.M.A. & Quax, Rick & Zhu, Yifan & Wang, Weiping, 2010. "Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 1018-1030.
  • Handle: RePEc:eee:matcom:v:80:y:2010:i:5:p:1018-1030
    DOI: 10.1016/j.matcom.2009.12.008
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    References listed on IDEAS

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    1. Wen-Jie Bai & Tao Zhou & Bing-Hong Wang, 2007. "Interplay Between Hiv/Aids Epidemics And Demographic Structures Based On Sexual Contact Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1025-1045.
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    Cited by:

    1. Reppas, Andreas I. & Spiliotis, Konstantinos & Siettos, Constantinos I., 2015. "Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 109(C), pages 186-196.
    2. Fetta, Angelico & Harper, Paul & Knight, Vincent & Williams, Janet, 2018. "Predicting adolescent social networks to stop smoking in secondary schools," European Journal of Operational Research, Elsevier, vol. 265(1), pages 263-276.

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