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HIV surveillance in Sub-Saharan Africa shows varied indicator counts and inconsistent implementation of activitiesHIV Tracking in Five African Countries Varies Widely, Review Finds

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Key Takeaway
Note the high variability in HIV surveillance indicators and the heavy reliance on mathematical modeling in the region.

This narrative review examines HIV surveillance indicators and methods across Ghana, Kenya, Lesotho, Malawi, and Zimbabwe. The scope includes an analysis of 66 documents to identify indicators for integrated services, non-biomedical measures such as stigma and knowledge, and methods for measuring incidence and mortality.

Key findings indicate that the number of HIV indicators per country ranges from 80 to 103. The proportion of indicators for integrated services and non-biomedical measures varies significantly, from 22.8% (21/92) in Ghana to 64.1% (66/103) in Lesotho. The review notes that methods for measuring incidence and mortality rely predominantly on mathematical modeling. Furthermore, specific surveillance activities, such as community or facility-based mortality, drug resistance surveys, and bio-behavioral surveys, were found to be either partially implemented or not documented.

The authors note a lack of consistent implementation of planned surveillance activities across the studied regions. These findings suggest that countries may need to reassess the suitability of current indicators and streamline activities to improve the efficiency of estimating the HIV burden. The evidence is limited by the inconsistent reporting of specific surveillance activities in the source documents.

If you run an HIV program, you need to know who is getting infected, who is dying, and whether your work is helping. A new review of HIV surveillance in five countries in sub-Saharan Africa (Ghana, Kenya, Lesotho, Malawi, and Zimbabwe) found that the way countries measure the epidemic looks very different from place to place.

The review looked at 66 documents. Each country uses between 80 and 103 HIV indicators, which are the specific things a country tracks to follow the epidemic and its programs. But how many of those indicators cover integrated services and non-biomedical measures like stigma and knowledge ranged from 22.8% in Ghana to 64.1% in Lesotho.

When it came to measuring new infections and deaths, countries relied mostly on mathematical modeling. And some specific surveillance activities, such as community or facility-based mortality tracking, drug resistance surveys, and bio-behavioral surveys, were only partially implemented or not documented at all.

This is a narrative review, not a trial, so it cannot tell us whether any approach works better than another. The authors note that implementation of reported surveillance activities was inconsistent. Still, they suggest countries could reassess whether their current indicators fit their needs and streamline them to estimate HIV burden more efficiently.

What this means for you:
Five African countries track HIV with 80 to 103 indicators each, but what they measure varies a lot.

Common questions

How many HIV indicators does each country use?

The review found that each of the five countries uses between 80 and 103 HIV indicators. These are the specific measures a country tracks to follow the HIV epidemic and the impact of its programs. The number alone does not tell you whether the indicators are the right ones, which is part of what the authors question.

What share of indicators cover stigma or integrated services?

It varies a lot. The proportion of indicators for integrated services and non-biomedical measures like stigma and knowledge ranged from 22.8% (21 of 92) in Ghana to 64.1% (66 of 103) in Lesotho. That wide range suggests countries are not measuring the same things in the same way.

How do these countries measure new HIV infections and deaths?

The review reports that they relied predominantly on mathematical modeling for measuring incidence (new infections) and mortality (deaths). Some specific activities, such as community or facility-based mortality tracking, drug resistance surveys, and bio-behavioral surveys, were only partially implemented or not documented.

Does this review say which surveillance approach is best?

No. This is a narrative review, and it did not compare approaches to see which works better. It describes what countries report and notes that implementation of surveillance activities was inconsistent. The authors suggest countries could reassess their current indicators and streamline them to estimate HIV burden more efficiently.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedOct 2026
View Original Abstract ↓
BackgroundOver the last two decades, new HIV infections and AIDS-related deaths have declined significantly through expansion of access to HIV testing, treatment, and prevention services. Data to monitor epidemic trends and program coverage have been central to driving progress. We describe HIV surveillance indicators and methods that countries use to monitor the HIV epidemic and impact of programs in selected African countries.MethodsWe conducted a review of global and national HIV surveillance guidelines. We extracted information on (1) indicators used to monitor HIV epidemic changes, and (2) activities countries conduct to measure these. We conducted an in-depth document analysis for five selected African countries: Ghana, Kenya, Lesotho, Malawi, and Zimbabwe.ResultsWe identified 66 documents that inform HIV surveillance plans at national or global levels. Documents from the five selected countries reflected a range of 80 to 103 HIV indicators per country compared to 128 from a consolidated list of indicators in global guidance documents. The largest proportion of reported national indicators was for integrated services and non-biomedical measures such as HIV stigma and knowledge, with these accounting for a range of 22.8% (21/92) in Ghana to 64.1% (66/103) in Lesotho. Measuring incidence and mortality relied predominantly on mathematical modeling. Activities such as community and facility-based mortality surveillance, HIV drug resistance surveys and bio-behavioral surveys were specified in strategic plans but were partially implemented or not documented.ConclusionHIV surveillance among selected African countries primarily used mathematical models for estimating HIV incidence and mortality and heavily depended on infrequent household surveys for quantifying epidemic burden. Strategy documents named many HIV indicators and surveillance activities, which were inconsistently implemented. Countries could reassess suitability of current indicators and activities and streamline these for efficient estimation of HIV burden.
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