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<https://discovery.ucl.ac.uk/id/eprint/10082629> <http://purl.org/dc/terms/title> "Using social networks to understand and overcome implementation barriers in the global HIV response"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10082629> <http://purl.org/ontology/bibo/abstract> "Background: Despite the development of several efficacious HIV prevention and treatment methods in the past 2 decades, HIV continues\r\nto spread globally. Uptake of interventions is nonrandomly distributed\r\nacross populations. Such inequality is socially patterned and reinforced\r\nby homophily arising from both social selection (becoming friends with\r\nsimilar people) and influence (becoming similar to friends).\r\nMethods: We conducted a narrative review to describe how social\r\nnetwork analysis methods—including egocentric, sociocentric, and\r\nrespondent-driven sampling designs—provide tools to measure key\r\npopulations, to understand how epidemics spread, and to evaluate\r\nintervention take-up.\r\nResults: Social network analysis–informed designs can improve\r\nintervention effectiveness by reaching otherwise inaccessible populations. They can also improve intervention efficiency by maximizing\r\nspillovers, through social ties, to at-risk but susceptible individuals.\r\nSocial network analysis–informed designs thus have the potential to be\r\nboth more effective and less unequal in their effects, compared with\r\nsocial network analysis–naïve approaches. Although social network\r\nanalysis-informed designs are often resource-intensive, we believe\r\nthey provide unique insights that can help reach those most in need of\r\nHIV prevention and treatment interventions.\r\nConclusion: Increased collection of social network data during\r\nboth research and implementation work would provide important\r\ninformation to improve the roll-out of existing studies in the present\r\nand to inform the design of more data-efficient, social network\r\nanalysis–informed interventions in the future. Doing so will improve\r\nthe reach of interventions, especially to key populations, and to\r\nmaximize intervention impact once delivered."^^<http://www.w3.org/2001/XMLSchema#string> .
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