Computer Science – Multiagent Systems
Scientific paper
2008-12-05
Computer Science
Multiagent Systems
21 pages, 4 figures, Mathematics and Computers in Simulation, added references
Scientific paper
Simulating the evolution 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 epidemics by combining agent-based modelling and complex networks, in which agents represent individuals that 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 and the simulation results.
Mei Shan
Quax Rick
Sloot Peter M. A.
Wang Weiping
Zhu Yifan
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