The HIV prevention methods working group is organized around the development of new quantitative methods to facilitate research on how best to control the HIV infection, but have relevance for infectious disease control beyond HIV. These new methods are intended to aid in the analysis and interpretation of clinical research on HIV prevention and in the use of such information to inform scale-up of successful interventions. Our focus is on combining across different quantitative subdisciplines, such as methods for causal inference, network science, molecular epidemiology, and spatial statistics. While a number of interventions have been shown to reduce risk of transmission of HIV at the individual subject level, how to combine such interventions optimally to control HIV spread throughout communities. To do so requires development of efficient methods for analysis of data from observational and randomized studies, as well as from HIV surveillance, that measure effects of prevention efforts. In addition, methods must be developed for making use of this information to ascertain the conditions under which such combination packages are likely to be achieve desired goals.
Victor De Gruttola's Faculty Website