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dc.contributor.authorNikolopoulos, Georgios K.en
dc.contributor.authorWilliams, Leslie D.en
dc.contributor.authorKostaki, Evangelia-Georgiaen
dc.contributor.authorPavlitina, Eirinien
dc.contributor.authorParaskevis, Dimitriosen
dc.contributor.authorHatzakis, Angelosen
dc.contributor.authorSchneider, Johnen
dc.contributor.authorSmyrnov, Pavloen
dc.contributor.authorHadjikou, Andriaen
dc.contributor.authorPsichogiou, Minaen
dc.contributor.authorFriedman, Samuel R.en
dc.creatorNikolopoulos, Georgios K.en
dc.creatorWilliams, Leslie D.en
dc.creatorKostaki, Evangelia-Georgiaen
dc.creatorPavlitina, Eirinien
dc.creatorParaskevis, Dimitriosen
dc.creatorHatzakis, Angelosen
dc.creatorSchneider, Johnen
dc.creatorSmyrnov, Pavloen
dc.creatorHadjikou, Andriaen
dc.creatorPsichogiou, Minaen
dc.creatorFriedman, Samuel R.en
dc.description.abstractAs part of a network study of HIV infection among people who inject drugs (PWID) and their contacts, we discovered a connected subcomponent of 29 uninfected PWID. In the context of a just-declining large epidemic outbreak, this raised a question: What explains the existence of large pockets of uninfected people? Possible explanations include "firewall effects" (Friedman et al., 2000en
dc.description.abstractDombrowski et al., 2017) wherein the only HIV+ people that the uninfected take risks with have low viral loadsen
dc.description.abstract"bottleneck effects" wherein few network paths into the pocket of non-infection existen
dc.description.abstractlow levels of risk behavioren
dc.description.abstractand an impending outbreak. We considered each of these. Participants provided information on their enhanced sexual and injection networks and assisted us in recruiting network members. The largest connected component had 241 members. Data on risk behaviors in the last 6 months were collected at the individual level. Recent infection was determined by LAg (SediaTM Biosciences Corporation), data on recent seronegative tests, and viral load. HIV RNA was quantified using Artus HI Virus-1 RG RT-PCR (Qiagen). The 29 members of the connected subcomponent of uninfected participants were connected (network distance = 1) to 17 recently-infected and 24 long-term infected participants. Fourteen (48%) of these 29 uninfected were classified as "extremely high risk" because they self-reported syringe sharing and had at least one injection partner with viral load >100,000 copies/mL who also reported syringe sharing. Seventeen of the 29 uninfected were re-interviewed after 6 months, but none had seroconverted. These findings show the power of network research in discovering infection patterns that standard individual-level studies cannot. Theoretical development and exploratory network research studies may be needed to understand these findings and deepen our understanding of how HIV does and does not spread through communities. Finally, the methods developed here provide practical tools to study "bottleneck" and "firewall" network hypotheses in practice.en
dc.sourceFrontiers in Microbiologyen
dc.titlePockets of HIV Non-infection Within Highly-Infected Risk Networks in Athens, Greeceen
dc.description.volume9Ιατρική Σχολή / Medical SchoolΙατρική Σχολή / Medical School
dc.source.abbreviationFront Microbiolen
dc.contributor.orcidNikolopoulos, Georgios K. [0000-0002-3307-0246]
dc.contributor.orcidParaskevis, Dimitrios [0000-0001-6167-7152]
dc.contributor.orcidKostaki, Evangelia-Georgia [0000-0002-3346-0930]

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