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., HIV Prevention Where it is Needed Most: Comparison of Strategies for the Geographical Allocation of Interventions, Journal of the International Aids Society, ISSN:1758-2652
Hallett TB, Over M, 2010, How to Pay “Cash-on-Delivery” for HIV Infections Averted: Two Measurement Approaches and Ten Payout Functions - Working Paper 210, Center for Global Development: Working Paper
et al., Including PrEP for key populations in combination HIV prevention: a mathematical modelling analysis of Nairobi as a case-study, Lancet Hiv, ISSN:2405-4704
Mangal TD, 2017, Joint estimation of CD4(+) cell progression and survival in untreated individuals with HIV-1 infection, Aids, Vol:31, ISSN:0269-9370, Pages:1073-1082
et al., 2017, The impact of HCV therapy in a high HIV-HCV prevalence population: A modeling study on people who inject drugs in Ho Chi Minh City, Vietnam, Plos One, Vol:12, ISSN:1932-6203