About our research
Our laboratory conducts research in population epidemiology, specifically using mathematical models to understand how public health policies can mitigate social risk factors for disease. We combine insights from social science, statistics, and mathematical modeling to understand how major changes in human populations--demographic, social and economic--affect disease risk and the effectiveness of public health policy responses to epidemics.
Our investigations into the social determinants of health focus on "resilience"--or how public health programs can help populations reduce premature morbidity, mortality and disability associated with sudden transformations to the community including changes to food systems, urban and rural built spaces, health systems and the economy. We use large-scale international databases and novel methods derived from the fields of statistics, econometrics and computation to identify effective public health programs, with a particular emphasis on disparities in the distribution of disease and risk factors across socioeconomic groups during major social shocks. Our recent work has included studies of nutrition and associated chronic diseases in low-income communities, the health effects of economic recessions and policy responses, and aspects of disease risk associated with large-scale community planning policies.
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