| Literature DB >> 24516580 |
Andrea L Wirtz1, Carel Pretorius2, Chris Beyrer3, Stefan Baral3, Michele R Decker4, Susan G Sherman3, Michael Sweat5, Tonia Poteat3, Jennifer Butler6, Robert Oelrichs7, Iris Semini7, Deanna Kerrigan8.
Abstract
INTRODUCTION: Sex workers have endured a high burden of HIV infection in and across HIV epidemics. A comprehensive, community empowerment-based HIV prevention intervention emphasizes sex worker organization and mobilization to address HIV risk and often includes community-led peer education, condom distribution, and other activities. Meta-analysis of such interventions suggests a potential 51% reduction in inconsistent condom use. Mathematical modeling exercises provide theoretical insight into potential impacts of the intervention on HIV incidence and burden in settings where interventions have not yet been implemented.Entities:
Mesh:
Year: 2014 PMID: 24516580 PMCID: PMC3916392 DOI: 10.1371/journal.pone.0088047
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Key Epidemic and Behavioral Parameters.
| Brazil | Kenya | Thailand | Ukraine | ||||||||||
| Parameter | Estimate | Range | Source(s) | Estimate | Range | Source(s) | Estimate | Range | Source(s) | Estimate | Range | Source(s) | |
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| 0.9% | 0.58–1.42% |
| 4.3% | >100,000 or <6% |
| 0.6% | 150,000 |
| 0.4% | 65–95,000 |
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| 0.4% | 0.6–0.7% |
| 6.0% | 5.8–6.5% |
| 1.0% | 1.0–3.0% |
| 1.1 | 1.2–2.0% |
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| 4.9% | 2.6–12.9% |
| 33.8% | 3.4–66.8% |
| 5.0% | 3.0–30.0% |
| 13.2% | 0–39% |
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| 17.0% | 14.3–17.6% |
| 20.0% | 1.8–34.1% |
| 10.0% | 1.0–12.4% |
| 13.0% | 0–18.2% |
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| 75% | 52.2–77.8% |
| 60% | 29–91% |
| 80% | 78.9–96.0% |
| 70% | 66–86% |
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| 205 | 40–140 |
| 90 | 50–180 |
| 200 | 200–300 |
| 260 | 50–728 |
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| 20% | 14.3–40.9% |
| 45% | 25.9–67.0% |
| 35% | 35.1% |
| 4% | 4–22% |
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| 8 | 5–10 |
| 5 | 2–6 |
| 5 | 1–10 |
| 10 | 0.5–15 |
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| −51.0% |
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| 0.13 |
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| ≤350 cells/mm3 |
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Note: FSW: Female sex worker; *Criterion used for this analysis based on guidance at time of modeling analysis.
Baseline and 2016 target coverage levels of the community empowerment-based prevention intervention and ART per scenario and country.
| Modeling scenarios | Brazil | Kenya | Thailand | Ukraine | |
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| Interpolated scale-up of Empowerment coverage from 2011 to additional 30% by 2016 | 40.0% | 35.0% | 40.0% | 35.0% |
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| Interpolated scale-up of Empowerment coverage from 2011 to additional 60% by 2016 | 70.0% | 65.0% | 70.0% | 65.0% |
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| Interpolated scale-up of Empowerment coverage from 2011 to reach 100% by 2016 | 100.0% | 100.0% | 100.0% | 100.0% |
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| Scale-up in coverage of ART by 2016 according to country estimations (% coverage)* | 80.0% | 85.0% | 71.2% | 24.0% |
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| Scale-up in coverage of ART among adults: % covered by 2016 | 80.0% | 85.0% | 71.2% | 24.0% |
| Interpolated scale-up of Empowerment coverage from 2011 to additional 60% by 2016 | 70.0% | 65.0% | 70.0% | 65.0% | |
Grey text represents intervention coverage held constant from 2011–2016 during scenario; *Baseline ART and scale-up among adults based on county UNAIDS projections estimates.
Figure 1Annual new HIV infections among female sex workers in Brazil with expansion of the community empowerment-based HIV prevention intervention, with and without ART expansion among adults.
Figure 2Annual new HIV infections among female sex workers in Kenya with expansion of the empowerment intervention, with and without ART expansion among adults.
Figure 3Annual new HIV infections among female sex workers in Thailand with expansion of the community empowerment-based prevention intervention, with and without ART expansion among adults.
Figure 4Annual new HIV infections among female sex workers in Ukraine with expansion of the community empowerment-based prevention intervention, with and without ART expansion among adults.