• We develop and use a range of mathematical models with the best epidemiological and clinical trial data to fight HIV by improving our understanding of how HIV spreads and of the prevention that work best and most efficiently prevent infections and save more lives
  • We use models to predict, monitor, and evaluate the impact of real life HIV preventions in various settings and risk populations
  • Model results are used to inform public health decision making locally, nationally and globally, set realistic prevention goals and optimise the deployment of HIV prevention to  reduce the burden of HIV/AIDS
  • We also use models to help design, conduct and interpret clinical trials to reduce the risk of inconclusive results and generalise trial results to a variety of settings/conditions in order to identify the most promising new behavioural, structural and biomedical interventions