I am based at the Department of Infectious Disease Epidemiology. My work with the Applied HIV Epidemiology research group centres on the development and application of mathematical models for interpreting surveillence data, analyzing control trials and planning interventions. The overall aim of this research is to come to conclusions about the optimal use of limited resources in the response to HIV epidemic worldwide.
I direct the HIV Modelling Consortium, which is a network epidemiologists, mathematical modellers and health-economists. I also work with UNAIDS and the Reference Group on Estimates, Modelling and Projections in developing the methods for calculating international AIDS statistics.
I am also an Affiliate Associate Professor at the University of Washington, Department of Global Health.
et al., Cost-per-diagnosis as a metric for monitoring cost effectiveness of HIV testing programmes in low income settings in southern Africa: health economic and modelling analysis, Journal of the International Aids Society, ISSN:1758-2652
et al., Application of the HIV prevention cascade to identify, develop,and evaluate interventions to improve use of prevention methods:Examples from a study in east Zimbabwe, Journal of the International Aids Society, ISSN:1758-2652
et al., 2019, Targeting and vaccine durability are key for population-level impact and cost-effectiveness of a pox-protein HIV vaccine tegimen in South Africa, Vaccine, Vol:37, ISSN:0264-410X, Pages:2258-2267
et al., 2019, Building a tuberculosis-free world: The Lancet Commission on tuberculosis, The Lancet, Vol:393, ISSN:0140-6736, Pages:1331-1384
et al., 2019, Assessing tuberculosis control priorities in high-burden settings: a modelling approach, The Lancet Global Health, ISSN:2214-109X