Although Zimbabwe is among the countries on track to end the HIV epidemic by 2030, important gaps remain. Recent disruptions in HIV funding risk reversing decades of progress. Understanding geographic and sociodemographic disparities in HIV burden and care is important for optimizing resource allocation. We used cross-sectional data from the ZIMPHIA 2020 survey. Among the 7,664 men included in the study, we estimated survey-weighted descriptive statistics and HIV prevalence across sociodemographic characteristics. The first 95 target was assessed by sociodemographic characteristics, while all 95–95–95 targets were described and mapped. Multivariable logistic regression was performed to identify factors associated with HIV status unawareness. Spatial autocorrelation and hotspot analyses were used to assess geographic clustering of HIV prevalence and HIV unawareness. HIV prevalence among men was 10.2% (95% CI: 9.5%–11.0%). Among HIV-positive men ( n = 906), 84.3% were aware of their status, 95.9% of those aware were on ART, and 89% of those on ART were virally suppressed. HIV prevalence was highest among men aged 45 + years (21.1%; 95% CI: 19.1%–23.2%). Conversely, unawareness was highest among men aged 15–24. Each additional year reduced the odds of unawareness by 9% (aOR = 0.91; 95% CI: 0.88–0.94). HIV prevalence was highest in the Matabeleland provinces, while unawareness was highest in Mashonaland Central and Masvingo. Cluster-level spatial analyses demonstrated significant spatial clustering of HIV prevalence with localized hotspots, whereas HIV status unawareness showed no significant clustering. Our findings demonstrated sociodemographic and geographic heterogeneity in HIV prevalence and unawareness among men. Resource allocation should be targeted accordingly.
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Mukwekwerere et al. (2026) studied this question.
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