Using mathematical modelling to improve the design of HIV prevention interventions

Abstract: A renewed commitment to the prevention of new HIV infections will be essential to stop further expansion of the epidemic. This talk will discuss how mathematical modelling can be used to answer some of the key questions in HIV prevention programming with a view to improving the efficiency of the response. Increasing data on the epidemic suggest that it is highly diverse across populations and settings and this provides a blueprint for designing a more strategic and tailored prevention strategy. Epidemiological and programmatic information is used to develop a geographically focused approach to prevention programming, which can generate considerably greater impact through being responsive to local epidemiology and directing funds to populations and locations where they can have greatest impact.