Bevis Phiri on Muck Rack

Bevis Phiri

As seen in: PLOS ONE, medRxiv
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Articles

Optimal mix of differentiated service delivery models for HIV treatment in Zambia: a mathematical modelling study

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By Nkgomeleng A Lekodeba, Sydney Rosen, Bevis Phiri, Sithabiso Masuku
| medRxiv
The authors have declared no competing interest. Funding for the study was provided by the Bill & Melinda Gates Foundation through OPP1192640 to Boston University and INV-037138 to the Wits Health Consortium. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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Attrition from HIV treatment after enrollment in a differentiated service delivery model: A cohort analysis of routine care in Zambia

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By Youngji Jo, Lise Jamieson, Bevis Phiri
| PLOS ONE
Study population and setting The Zambian Ministry of Health (MOH) authorized the non-governmental organizations supporting HIV treatment scale up in the country to pilot various models of service delivery starting in 2014 [8]. Nationwide scale-up DSD models was underway by 2017. Most public sector healthcare facilities now provide at least one alternative to conventional care, with many offering multiple options.
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Attrition from HIV treatment after enrollment in a differentiated service delivery model: A cohort analysis of routine care in Zambia

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By Youngji Jo, Lise Jamieson, Bevis Phiri, Anna Grimsrud
| paperity.org
PLOS ONE, Mar 2023 This is a preview of a remote PDF: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0280748&type=printable Youngji Jo, Lise Jamieson, Bevis Phiri, Anna Grimsrud, Muya Mwansa, Hilda Shakwelele, Prudence Haimbe, Mpande Mukumbwa-Mwenechanya, Priscilla Lumano Mulenga, Brooke E. Nichols, Sydney Rosen. , PLOS ONE, 2023, Volume 18, Issue 3, DOI: 10.1371/journal.pone.0280748
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