A multi-level model for estimating region-age-time-type specific male circumcision coverage from household survey and health system data in South Africa
Matthew L. Thomas, Khangelani Zuma, Dayanund Loykissoonlal and, Bridget Dube, Peter Vranken, Sarah E. Porter, Katharine Kripke and, Thapelo Seatlhodi, Gesine Meyer-Rath, Leigh F. Johnson, Jeffrey W., Eaton

TL;DR
This study presents a Bayesian model to estimate region-specific male circumcision coverage by age, type, and time in South Africa, integrating survey and health data to inform HIV prevention strategies.
Contribution
The paper introduces a novel multi-level Bayesian competing risks model that synthesizes household survey and health system data for detailed circumcision coverage estimation.
Findings
Coverage increased from 2008 to 2019, reaching 64% overall.
Significant variation in coverage across districts and age groups.
Traditional circumcision ages ranged from 13 to 19 years.
Abstract
Voluntary medical male circumcision (VMMC) reduces the risk of male HIV acquisition by 60%. Programmes to provide male circumcision (MC) to prevent HIV infection have been introduced in sub-Saharan African countries with high HIV burden. While large-scale provision of MMC is recent, traditional MC has long been conducted as part of male coming-of-age practices. How and at what age traditional MC occurs varies by ethnic groups within countries. Accurate estimates of MC coverage by age and type of circumcision (traditional or medical) over time at sub-national levels are essential for planning and delivering VMMCs to meet targets and evaluating their impacts on HIV incidence. In this paper, we developed a Bayesian competing risks time-to-event model to produce region-age-time-type specific probabilities and coverage of MC with probabilistic uncertainty. The model jointly synthesises data…
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Taxonomy
TopicsGenital Health and Disease · Female Genital Mutilation/Cutting Issues · Urologic and reproductive health conditions
