Ungrouped religious affiliations of survey participants.

<p>Ungrouped religious affiliations of survey participants.</p

Socio-demographic and sexual behaviour profiles of religious groups in 1998–2000 and in 2003–2005 in Manicaland, Zimbabwe: males.

**<p>p<0.001.</p>*<p>p<0.05.</p><p>Difference in behaviour variable in religious group versus Christians adjusted for age using logistic regression. Variables converted to binary variables:Variables converted to binary variables:</p><p>Lifetime sexual partners: 1&2 versus 3+; no. of sexual partners in 12 months: 0&1 versus 2+; condom use: never and less than a year vs. more than a year.</p>†<p>Married before age 18 years.</p

Comparison of HIV prevalence between religions over time, Manicaland, Zimbabwe: univariate and nested multivariate regression models for 1998–2000 and 2003–2005: males.

<p>Comparison of HIV prevalence between religions over time, Manicaland, Zimbabwe: univariate and nested multivariate regression models for 1998–2000 and 2003–2005: males.</p

Differences in HIV prevalence between long-term and new female church members by major religious grouping (2003–2005).

<p>aOR, odds of HIV infection adjusted for age-group, education and marital status.</p

Principal teachings and practices of major religious groupings in Manicaland, Zimbabwe.

<p>Principal teachings and practices of major religious groupings in Manicaland, Zimbabwe.</p

Sensitivity analyses.

<p>Impact and cost-effectiveness of Zimbabwe’s VMMC program under alternative assumptions for key parameters whose values are uncertain.</p

Projected impact of the VMMC program over 2016–2030, with VMMC scale-up embedded within broader scale-up of HIV prevention and treatment, according to the global Fast Track targets, evaluated relative to the counterfactual scenario in which the Fast Track targets for other interventions are met without VMMC.

<p>Projected impact of the VMMC program over 2016–2030, with VMMC scale-up embedded within broader scale-up of HIV prevention and treatment, according to the global Fast Track targets, evaluated relative to the counterfactual scenario in which the Fast Track targets for other interventions are met without VMMC.</p

VMMC scale-up scenarios evaluated.

<p>VMMC scale-up scenarios evaluated.</p

Projected impact, costs and savings from the VMMC program in a 'status quo' background context, relative to the counterfactual scenario of no VMMC program ever.

<p>Projected impact, costs and savings from the VMMC program in a 'status quo' background context, relative to the counterfactual scenario of no VMMC program ever.</p

Modeled circumcisions.

<p><b>(A) Number of new VMMCs occurring each year and (B) the resulting percentage of men ages 15–49 who are circumcised, by scenario.</b> The 2009–2016 new VMMCs are from program data; the 2008–2009 circumcision coverage was the modelers’ estimate based on the 2005 and 2010 DHS. The projected results (VMMC numbers and circumcision coverage over 2010–2030) shown here are from the Goals model; the ICL and EMOD models projected similar numbers (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199453#pone.0199453.t002" target="_blank">Table 2</a>) and coverages (not shown).</p