I am interested in the application of mathematical, computational, and statistical approaches to better understand the dynamics of infectious disease transmission and control. Ongoing work is focused on dengue, malaria, and other diseases caused by mosquito-borne pathogens. These diseases are particularly interesting because of the complex ecology and epidemiology of the systems in which their pathogens are transmitted, and because of their critical and growing importance for global health. Some of the major themes of my research on these diseases include: (1) understanding how patterns of human movement determine exposure and transmission; (2) exploring the consequences of simplifying assumptions about human-mosquito encounters for model-based prediction and inference; (3) identifying the spatial scales of transmission and determining the consequences of measuring and controlling transmission at differing scales; (4) developing general theory for targeted control; and (5) developing new statistical methods for making inferences about malaria transmission networks using epidemiological and genetic data.
