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Agent-based Modeling of Policies to Improve Urban Food Access for Low-income Populations

Despite advances in medical technology and public health practices over the past few decades, there has been a steady increase in the prevalence of chronic diseases like type 2 diabetes among low-income urban residents in the US. For this population, maintaining a diet consisting of nutritious foods is complicated by a number of physical and social barriers. In cities, a coalescence of social, spatial, and economic factors influence the availability of healthy food in any given place. The urban food environment contextualizes the structural and individual-level norms that drive daily decision-making about what to eat. Understanding and acting on the processes that reduce these residents' access to healthy foods will make for a healthier urban landscape. A new paper by M.J. Widener, S.S. Metcalf, and Y. Bar-Yam advances the discussion of food deserts by using an agent-based model to simulate the impact of various policy interventions on low-income households’ consumption of fresh fruits and vegetables.

 

M.J. Widener, S.S. Metcalf, and Y. Bar-Yam, Agent-based Modeling of Policies to Improve Urban Food Access for Low-income Populations. Applied Geography. 40 pp. 1-10. 2013.

http://www.necsi.edu/research/social/urbanfood/policies/

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Using Protein Interaction Networks to Understand Complex Diseases

Recent developments in biotechnology have enabled interrogation of the cell at various levels, leading to many types of "omic" data that provide valuable information on multiple genetic and environmental factors and their interactions. The featured Web extra is a video interview with Mehmet Koyutürk of Case Western Reserve about how biotechnology can track genetic markers to advance cancer research.

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