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Overlapping Transmission Networks of Early Syphilis and/or Newly HIV Diagnosed Gay, Bisexual and Other Men Who Have Sex with Men (MSM): Opportunities for Optimizing Public Health Interventions.

Jacky M Jennings | Carla Tilchin | Benjamin Meza | Christina Schumacher | Errol Fields | Carl Latkin | Anne Rompalo | Adena Greenbaum | Khalil G Ghanem
AIDS and behavior | 2020

Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by > 1 MSM and 7.0% (n = 4), 21.1% (n = 12) and 71.9% (n = 41) were classified as syphilis, HIV or co-diagnosed venues, respectively. Forty-nine venues were connected in one main network component with four online, co-diagnosis venues representing 51.6% of reports and the highest degree and eigenvector centralities. In a sub-analysis during a local syphilis epidemic, the proportion of venues connected in the main component increased 38.7% (61.5% to 86.4%); suggesting increasing overlap in syphilis and HIV transmission and density of the venue network structure over time. This network analysis may identify the optimal set of venues for tailored interventions. It also suggests increasing difficulty of interrupting network transmission through fragmentation.

Pubmed ID: 32239359

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Associated grants

  • Agency: CDC HHS, United States
    Id: 1U01PS005171-01
  • Agency: CDC HHS, United States
    Id: PS15-1509
  • Agency: CDC HHS, United States
    Id: PS13-1306
  • Agency: CDC HHS, United States
    Id: U01 PS 005115
  • Agency: CDC HHS, United States
    Id: 1U01PS005171-01
  • Agency: CDC HHS, United States
    Id: PS15-1509
  • Agency: CDC HHS, United States
    Id: PS13-1306
  • Agency: CDC HHS, United States
    Id: U01 PS 005115

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igraph (tool)

RRID:SCR_019225

Software package for graphs and network analysis. Provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.Can be programmed in R, Python, Mathematica, C/C Plus Plus.

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