Literature DB >> 34629605

The Effect of Personal Network Exposure on Injecting Equipment Sharing among IDUs in Budapest, Hungary.

V Anna Gyarmathy1, Alan Neaigus2.   

Abstract

Until the mid-1990s, the prevalence and incidence of HIV infection was uniformly low in countries across the Central and Eastern European region. In the past decade, however, this has changed dramatically, with a rapid increase in HIV infections in the region, especially in Eastern Europe where 41% of new HIV infection cases were among injecting drug users (IDUs) and as much as 66% of IDUs are infected with HIV in certain regions. While Russia, the largest country in Eastern Europe, has the fastest growing HIV rates in the world, the situation is different in Central Europe. For example, Hungary has low levels of HIV infection - estimated less than 1% of IDUs. Understanding the role of network factors in the spread and prevention of HIV could not only enable us to keep the HIV rates low among IDUs in countries like Hungary, but also provide a means for the effective prevention of other blood-borne and sexually transmitted infections (STIs) that share similar routes of transmission as HIV. Rogers' diffusion of innovations theory may help explain why HIV rates among IDUs are low in Hungary. Valente's related exposure or contagion model postulates that the more individuals within a social network adopt an innovation or a practice, the greater the probability of an individual is to adopt this innovation or practice. Personal network exposure (PNE), measured both within egocentric and sociocentric networks quantifies the extent to which a person is exposed to risk through their social network. The aim of this analysis was to assess the association of PNE and other correlates with injecting equipment sharing among IDUs in Budapest, Hungary.

Entities:  

Year:  2006        PMID: 34629605      PMCID: PMC8496454     

Source DB:  PubMed          Journal:  Connect (Tor)        ISSN: 0226-1766


  25 in total

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2.  Sociometric risk networks and risk for HIV infection.

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3.  Micro-social structural approaches to HIV prevention: a social ecological perspective.

Authors:  C A Latkin; A R Knowlton
Journal:  AIDS Care       Date:  2005-06

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Journal:  NIDA Res Monogr       Date:  1995

Review 5.  Network models for HIV outreach and prevention programs for drug users.

Authors:  I I Trotter RT; A M Bowen; J M Potter
Journal:  NIDA Res Monogr       Date:  1995

6.  Social determinants predict needle-sharing behaviour among injection drug users in Vancouver, Canada.

Authors:  S A Strathdee; D M Patrick; C P Archibald; M Ofner; P G Cornelisse; M Rekart; M T Schechter; M V O'Shaughnessy
Journal:  Addiction       Date:  1997-10       Impact factor: 6.526

7.  Strong HIV and hepatitis disclosure norms and frequent risk behaviors among Hungarian drug injectors.

Authors:  V Anna Gyarmathy; Alan Neaigus; Eszter Ujhelyi; Tímea Szabó; József Rácz
Journal:  Drug Alcohol Depend       Date:  2006-04       Impact factor: 4.492

Review 8.  HIV in central and eastern Europe.

Authors:  Françoise F Hamers; Angela M Downs
Journal:  Lancet       Date:  2003-03-22       Impact factor: 79.321

9.  Gender differences in sexual and injection risk behavior among active young injection drug users in San Francisco (the UFO Study).

Authors:  Jennifer L Evans; Judith A Hahn; Kimberly Page-Shafer; Paula J Lum; Ellen S Stein; Peter J Davidson; Andrew R Moss
Journal:  J Urban Health       Date:  2003-03       Impact factor: 3.671

10.  The urgent need for HIV and hepatitis prevention in drug treatment programs in Hungary.

Authors:  V Anna Gyarmathy; József Rácz; Alan Neaigus; Eszter Ujhelyi
Journal:  AIDS Educ Prev       Date:  2004-06
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  1 in total

1.  Privacy and Confidentiality Considerations for Collecting HIV Risk Network Data among Men who Have Sex with Men and Implications for Constructing Valid Risk Networks.

Authors:  Abby E Rudolph; April M Young
Journal:  Soc Networks       Date:  2019-09-19
  1 in total

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