Advisor

Wayne Wakeland

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Document Type

Podcast

Publication Date

8-2020

Subjects

Food security -- Oregon -- Portland, Food security -- Illinois -- Chicago, Food systems planning

Abstract

Food deserts are defined as, “an impoverished area where residents lack access to healthy foods”. This lack of access can be due to a combination of socioeconomic, geographic, and food-related variables, and has been proven to impact the health of residents in the area. In this project, several statistical and machine learning techniques are used to model the impact of food desserts and various other factors on health outcomes, including diabetes and obesity rates, in both the different neighborhoods in the City of Chicago and the various counties in the state of Oregon. The models are then used to determine the influence of specific variables on health outcomes, in order to help evaluate potential solutions.

Persistent Identifier

https://archives.pdx.edu/ds/psu/33608

altREU_ Abstract .pdf (54 kB)
Abstract

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