Dr. Daniel Dutton,

Dr. Daniel J. Dutton is an Assistant Professor, Department of Community Health and Epidemiology in the Faculty of Medicine, Dalhousie Medicine New Brunswick. He is also a National Research Affiliate of the Prentice Institute for Global Population and Economy. He has taught or currently teaches econometrics, statistics, epidemiology, and population health classes and has served on the City of Calgary’s ”Calgary Equity Index” working group. Dr. Dutton completed his Ph.D. in Community Health Sciences with a specialization in Population and Public Health at the University of Calgary, Calgary, AB, in 2014. His previous degrees were in Economics. Prior to his Ph.D. Dan worked for a short time in the Ontario Ministry of Finance.

Dr. Dutton is primarily interested in issues of population-level exposures and their impact on poverty and health; most of his work is quantitative and he has an interest in methodological practice around answering applied questions using data. His research focuses on how the environments within which individuals live their lives impact their eventual health outcomes, and in particular, how governments can act to mitigate the influences of those environments. Dr. Dutton’s work emphasizes distributional impact of changes in government policy or societal factors. His current research falls into three general categories: social and health economics, applied policy, and computational epidemiology. His work utilizes large data sets and modeling strategies from economics and epidemiology. His primary interests are population-level exposures and their impact on poverty and health, how governments can address those exposures, and the distributional impacts of addressing those exposures. He also has an interest in methodological practice, including how research is done in applied epidemiology and the questions researchers answer.

Outside of policy work, Dr. Dutton also has an interest in computational epidemiology as applied to reporting on data. Much of the work with large, publicly funded data sets resembles reporting and it can be done more efficiently by machines.

daniel.dutton@dal.ca

Twitter: @danduttonsj

Research Topics: Social Epidemiology; Population Health; Public Health Policy; Poverty & Homelessness;     Health Economics; Public Policy and Spending; Homelessness; Obesity; Social Determinants of Health.

Dalhousie Website

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