An agent-based epidemic simulation of social behaviors affecting HIV transmission among taiwanese homosexuals

Chung Yuan Huang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

5 Scopus citations

Abstract

Computational simulations are currently used to identify epidemic dynamics, to test potential prevention and intervention strategies, and to study the effects of social behaviors on HIV transmission. The author describes an agent-based epidemic simulation model of a network of individuals who participate in high-risk sexual practices, using number of partners, condom usage, and relationship length to distinguish between high- and low-risk populations. Two new concepts - free links and fixed links - are used to indicate tendencies among individuals who either have large numbers of short-term partners or stay in long-term monogamous relationships. An attempt was made to reproduce epidemic curves of reported HIV cases among male homosexuals in Taiwan prior to using the agent-based model to determine the effects of various policies on epidemic dynamics. Results suggest that when suitable adjustments are made based on available social survey statistics, the model accurately simulates real-world behaviors on a large scale.

Original languageEnglish
Article number867264
JournalComputational and Mathematical Methods in Medicine
Volume2015
DOIs
StatePublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 Chung-Yuan Huang.

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