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HIV Prevention

We wish to see a data-driven HIV prevention revolution in the coming years. To inform the scale-up of community-based and multi-sectoral prevention activities (including risk-differentiated prevention services), we are strengthening the collection and use of routine data to:

identify who is covered by prevention programmes and who is not;

assess whether needs are matched by the types of interventions that are being delivered;

track engagement and disengagement with prevention services, particularly among high risk groups.

Working towards these aims we have developed and operationalised prevention cascades to provide a framework for actionable information to accelerate HIV incidence decline by identifying gaps in levels of demand for HIV prevention interventions, their supply, or their effective and sustainable use once initiated. While we have made progress in designing and implementing this framework, we are continuing to translate the idea of the prevention cascade to widespread measurement and adoption in Malawi, Zimbabwe and South Africa.

Boy in Africa being taught about contraception

Developed and operationalised prevention cascades 

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The HIV prevention cascade: integrating theories of epidemiological, behavioural, and social science into programme design and monitoring

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How Can Programs Better Support Female Sex Workers to Avoid HIV Infection in Zimbabwe? A Prevention Cascade Analysis

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The HIV Care Prevention Cascade (full version)

Population size estimation studies using respondent-driven sampling surveys 

Sample Size Calculations for Population Size Estimation Studies Using Multiplier Methods With Respondent-Driven Sampling Surveys

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Extrapolate location-specific to national-level estimates of population size 

Estimating Sizes of Key Populations at the National Level: Considerations for Study Design and Analysis

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