Sociometric risk networks and risk for HIV infection

Samuel R. Friedman, Alan Neaigus, Benny Jose, Richard Curtis, Marjorie Goldstein, Gilbert Ildefonso, Richard B. Rothenberg, Don C. Des Jarlais

Research output: Contribution to journalArticle

Abstract

Objectives. This study examined whether networks of drug-injecting and sexual relationships among drug injectors are associated with individual human immunodeficiency virus (HIV) serostatus and with behavioral likelihood of future infection. Methods. A cross-sectional survey of 767 drug injectors in New York City was performed with chain-referral and linking procedures to measure large-scale (sociometric) risk networks. Graph-theoretic algebraic techniques were used to detect 92 connected components (drug injectors linked to each other directly or through others) and a 105-member 2-core within a large connected component of 230 members. Results. Drug injectors in the 2- core of the large component were more likely than others to be infected with HIV. Seronegative 2-core members engaged in a wide range of high-risk behaviors, including engaging in risk behaviors with infected drug injectors. Conclusions. Sociometric risk networks seem to be pathways along which HIV travels in drug-injecting peer groups. The cores of large component can be centers of high-risk behaviors and can become pockets of HIV infection. Preventing HIV from reaching the cores of large components may be crucial in preventing widespread HIV epidemics.

Original languageEnglish (US)
Pages (from-to)1289-1296
Number of pages8
JournalAmerican journal of public health
Volume87
Issue number8
DOIs
StatePublished - Aug 1997

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ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Friedman, S. R., Neaigus, A., Jose, B., Curtis, R., Goldstein, M., Ildefonso, G., Rothenberg, R. B., & Des Jarlais, D. C. (1997). Sociometric risk networks and risk for HIV infection. American journal of public health, 87(8), 1289-1296. https://doi.org/10.2105/AJPH.87.8.1289