TY  - JOUR
N2  - Background: Despite the development of several efficacious HIV prevention and treatment methods in the past 2 decades, HIV continues
to spread globally. Uptake of interventions is nonrandomly distributed
across populations. Such inequality is socially patterned and reinforced
by homophily arising from both social selection (becoming friends with
similar people) and influence (becoming similar to friends).
Methods: We conducted a narrative review to describe how social
network analysis methods?including egocentric, sociocentric, and
respondent-driven sampling designs?provide tools to measure key
populations, to understand how epidemics spread, and to evaluate
intervention take-up.
Results: Social network analysis?informed designs can improve
intervention effectiveness by reaching otherwise inaccessible populations. They can also improve intervention efficiency by maximizing
spillovers, through social ties, to at-risk but susceptible individuals.
Social network analysis?informed designs thus have the potential to be
both more effective and less unequal in their effects, compared with
social network analysis?naďve approaches. Although social network
analysis-informed designs are often resource-intensive, we believe
they provide unique insights that can help reach those most in need of
HIV prevention and treatment interventions.
Conclusion: Increased collection of social network data during
both research and implementation work would provide important
information to improve the roll-out of existing studies in the present
and to inform the design of more data-efficient, social network
analysis?informed interventions in the future. Doing so will improve
the reach of interventions, especially to key populations, and to
maximize intervention impact once delivered.
IS  - S3
EP  - s252
UR  - https://doi.org/10.1097/QAI.0000000000002203
ID  - discovery10082629
TI  - Using social networks to understand and overcome implementation barriers in the global HIV response
Y1  - 2019/12/01/
AV  - public
JF  - Journal of Acquired Immune Deficiency Syndromes
A1  - Harling, G
A1  - Tsai, AC
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
VL  - 82
SP  - S244
ER  -