Networks and HIV risk: An introduction to social network analysis for harm reductionists

Samuel R. Friedman, Alan Neaigus, Benny Jose, Richard Curtis, Don Des Jarlais

Research output: Contribution to journalArticle

Abstract

There is considerable evidence for the belief that networks affect the probability that an injecting drug user (IDU) becomes infected with HIV; the speed with which HIV travels through communities of IDUs; and the extent to which IDUs engage in risk behaviors. This paper gives a brief overview of network concepts and methods and discusses how prevention projects and /or user groups might become involved in network research alongside academic and public health researchers.

Original languageEnglish (US)
Pages (from-to)461-469
Number of pages9
JournalInternational Journal of Drug Policy
Volume9
Issue number6
DOIs
StatePublished - Dec 1 1998

    Fingerprint

Keywords

  • HIV
  • Injecting drug user
  • Risk behaviors
  • Risk networks
  • Social networks

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health Policy

Cite this