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. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: J Acquir Immune Defic Syndr. 2015 Aug 1;69(4):499–508. doi: 10.1097/QAI.0000000000000665

Figure 2. Comparison of first degree network findings with second degree networks, third degree networks and 500 randomly generated networks.

Figure 2

* p<0.05, ** p< 0.01, *** p< 0.001

aCovariates for multivariate HIV models included: age, sex, homelessness, highest level of education, history of incarceration, getting condoms from an HIV prevention activity, getting syringes from an HIV prevention activity, getting condoms from an HIV prevention activity, ever being in drug treatment, using divided drugs with a syringe that has already been used, frequency of injection, drug injected most often, sharing cookers/water or filters, sharing syringes, using alcohol or drugs with last sex partner and having unprotected sex.

bCovariates for multivariate HFI models included: age, sex, HIV seroprevalence, nationality, highest level of education, homelessness, history of incarceration, getting condoms from an HIV prevention activity, previously being tested for HIV, getting syringes from an HIV prevention activity, ever being in drug treatment, ever being in OST, using divided drugs with a syringe that has already been used, drug injected most often, sharing cookers/water or filters, sharing syringes, and multiple sex partners and having unprotected sex.

cCovariates for multivariate US model included: HIV seroprevalence, age, sex, homelessness, highest level of education, ever being in drug treatment, using divided drugs with a syringe that has already been used, frequency of injection, drug injected most often, sharing cookers/water or filters, sharing syringes, exchange sex, using alcohol or drugs with last sex partner multiple sex partners.

dOdds ratio of an individual having HIV if the proportion of their network having HIV is greater than half adjusted for age, sex, homelessness, highest level of education, history of incarceration, getting condoms from an HIV prevention activity, getting syringes from an HIV prevention activity, getting condoms from an HIV prevention activity, ever being in drug treatment, using divided drugs with a syringe that has already been used, frequency of injection, drug injected most often, sharing cookers/water or filters, sharing syringes, using alcohol or drugs with last sex partner and having unprotected sex.

eRandom networks were generated by randomly assigning respondents to different locations within the original RDS referral recruitment structure. The odds ratio from the first degree network model is notably outside the distribution of odds ratios from the randomly generated networks. This graph demonstrates that the significant association between the proportion of the immediate network that is HIV infected and the respondent being HIV infected is not likely due to random network effect.