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How do features of the natural, economic, and policy environments impact the health of a population? And how do the dynamics of population change affect the environment? Researchers at CPC explore these and other questions using a variety of tools and methods, from qualitative data collection and in-depth one-on-one interviews to combining machine learning with high resolution satellite imagery to develop fine-grained measures of the contexts in which individuals and families operate. This work helps us understand the links between environmental changes and human health.


Associated Current and Recently Completed Projects


Accelerating the Integration of Novel Data Streams in Mathematical Models To enhance modeling utility in future public health emergencies and threats, the Centers for Disease Control and Prevention (CDC) launched the Infectious Disease Modeling and Analytics Initiative. This project strengthens and supports internal and external applied modeling and analytic work, and helps coordinate information across…
Add Health (The National Longitudinal Study of Adolescent to Adult Health) The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of over 20,000 adolescents who were in grades 7-12 during the 1994-95 school year, and have been followed for five waves to date, most recently…
Add Health (The National Longitudinal Study of Adolescent to Adult Health) logo
After the flood: Strategies to prevent malaria epidemics caused by severe flooding The impact of climate change, including the increased frequency of weather extremes such as flooding, on the incidence of malaria and other vector-borne diseases is an issue of substantial public health importance. Therefore, there is an urgent need to develop effective mitigation and control strategies.…
An empirically driven theory of poverty reduction This project uses secondary data from four countries to develop a "middle-range" theory of individual economic growth. We use evaluation data from four government unconditional cash transfer programs, and combine them with secondary data on the micro-environment such as market access, climate, and land cover.…
Applying a life course approach to assess the impact of neighborhood and interpersonal discrimination on allostatic load Abstract Allostatic load, which is characterized by the dysregulation of physiological activity across multiple systems in the body, has been linked to an increased risk of chronic diseases such as diabetes, heart disease, and stroke. However, the prevalence of allostatic load is not equally distributed…