Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96295
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dc.contributor.authorNichols, Brooke E.en
dc.contributor.authorThuma, Phil E.en
dc.contributor.authorNouwen, Jan L.en
dc.contributor.authorBoucher, Charles A. B.en
dc.contributor.authorvan Dijk, Janneke H.en
dc.contributor.authorBaltussen, Roben
dc.contributor.authorVan de Wijgert, Jannekeen
dc.contributor.authorSloot, Peter M. A.en
dc.contributor.authorvan de Vijver, David A. M. C.en
dc.date.accessioned2013-04-29T04:10:01Zen
dc.date.accessioned2019-12-06T19:28:20Z-
dc.date.available2013-04-29T04:10:01Zen
dc.date.available2019-12-06T19:28:20Z-
dc.date.copyright2013en
dc.date.issued2013en
dc.identifier.citationNichols, B. E., Boucher, C. A. B., van Dijk, J. H ., Thuma, P. E., Nouwen, J. L., Baltussen, R., et al. (2013). Cost-Effectiveness of Pre-Exposure Prophylaxis (PrEP) in Preventing HIV-1 Infections in Rural Zambia: A Modeling Study. PLoS ONE, 8(3), e59549.en
dc.identifier.issn1932-6203en
dc.identifier.urihttps://hdl.handle.net/10356/96295-
dc.description.abstractPre-exposure prophylaxis (PrEP) with tenofovir and emtricitabine effectively prevents new HIV infections. The optimal scenario for implementing PrEP where most infections are averted at the lowest cost is unknown. We determined the impact of different PrEP strategies on averting new infections, prevalence, drug resistance and cost-effectiveness in Macha, a rural setting in Zambia. Methods A deterministic mathematical model of HIV transmission was constructed using data from the Macha epidemic (antenatal prevalence 7.7%). Antiretroviral therapy is started at CD4<350 cells/mm3. We compared the number of infections averted, cost-effectiveness, and potential emergence of drug resistance of two ends of the prioritization spectrum: prioritizing PrEP to half of the most sexually active individuals (5–15% of the total population), versus randomly putting 40–60% of the total population on PrEP. Results Prioritizing PrEP to individuals with the highest sexual activity resulted in more infections averted than a non-prioritized strategy over ten years (31% and 23% reduction in new infections respectively), and also a lower HIV prevalence after ten years (5.7%, 6.4% respectively). The strategy was very cost-effective at $323 per quality adjusted life year gained and appeared to be both less costly and more effective than the non-prioritized strategy. The prevalence of drug resistance due to PrEP was as high as 11.6% when all assumed breakthrough infections resulted in resistance, and as low as 1.3% when 10% of breakthrough infections resulted in resistance in both our prioritized and non-prioritized scenarios. Even in settings with low test rates and treatment retention, the use of PrEP can still be a useful strategy in averting infections. Our model has shown that PrEP is a cost-effective strategy for reducing HIV incidence, even when adherence is suboptimal and prioritization is imperfect.en
dc.language.isoenen
dc.relation.ispartofseriesPLoS ONEen
dc.rights© 2013 Nichols et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are crediteden
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciencesen
dc.titleCost-effectiveness of pre-exposure prophylaxis (PrEP) in preventing HIV-1 infections in rural Zambia : a modeling studyen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1371/journal.pone.0059549en
dc.description.versionPublished versionen
item.grantfulltextopen-
item.fulltextWith Fulltext-
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