HIV Transmission using Agent Based Model Simulation

Abstract

HIV transmission among the population is highly perceptible in sexual intercourse. Agent-based simulation model is used in this study to simulate the HIV transmission model. This model is based on the assumption that HIV-infected individual will conduct safe intercourse and 100% effective condom use. Agent-based simulation provides information of a simulation process by analyzing the behaviors and interactions of the agents in four aspects: coupling tendency, average commitment, condom use and test frequency each year. Analysis results on average coupling tendency and average commitment variables indicated change in the individual's behavior which may contribute to the escalation of HIV transmission rate. Meanwhile, exploration on average condom use and average test variables provided solution for HIV transmission. Optimal condition for HIV transmission model can be reached by increasing individual average to conduct HIV test and condom use average during intercourse to avoid further transmission.