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INTERPLAY BETWEEN HIV/AIDS EPIDEMICS AND DEMOGRAPHIC STRUCTURES BASED ON SEXUAL CONTACT NETWORKS

2006/02/24 by Wen-Jie Bai, Tao Zhou, Bing-Hong Wang
Health Professions · Mathematics · Medicine · Physics and Astronomy · #Adolescent Sexual and Reproductive Health #Complex Network Analysis Techniques #Complex network #Computer science #Demography #Homogeneous #Human immunodeficiency virus (HIV) #Mathematics #Medicine #Opinion Dynamics and Social Influence #Population #Preferential attachment #Sexual contact #Sociology #Telecommunications #Transmission (telecommunications) #Virology #physics.bio-ph #physics.soc-ph

paper · pdf · doi:10.1142/s0129183107011108

published as Int. J. Mod. Phys. C 18, 1025-1045 (2007) · 23 pages, 12 figures

arxiv created 2006/02/24 · openalex publication_date 2007/06/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

In this article, we propose a network spreading model for HIV epidemics, wherein each individual is represented by a node of the transmission network and the edges are the connections between individuals along which the infection may spread. The sexual activity of each individual, measured by its degree, is not homogeneous but obeys a power-law distribution. Due to the heterogeneity of activity, the infection can persistently exist at a very low prevalence, which has been observed in the real data but cannot be illuminated by previous models with homogeneous mixing hypothesis. The model displays a clear picture of hierarchical spread: In the early stage the infection is adhered to these high-risk persons, and then, diffuses toward low-risk population. Furthermore, we find that to reduce the risky behaviors is much more effective in the fight against HIV/AIDS rather than the antiretroviral drug therapies. The prediction results show that the development of epidemics can be roughly categorized into three patterns for different countries, and the pattern of a given country is mainly determined by the average sex-activity and transmission probability per sexual partner. In most cases, the effect of HIV epidemics on demographic structure is very small. However, for some extremely countries, like Botswana, the number of sex-active people can be depressed to nearly a half by AIDS.

Citations