Presenters

Danny JangFollow

Academic department under which the project should be listed

RCHSS - Geography & Anthropology

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Faculty Sponsor Name

Dr. Paul McDaniel

Abstract (300 words maximum)

This project examines factors of health geography and population geography by examining the spatial correlation between diabetes and obesity prevalence among the population of Georgia. Diabetes and obesity are closely linked together, however, they are still far apart in various aspects which can be from personal to environmental impacts like geographical locations. This research attempts to investigate diabetes and obesity prevalence by examining the SVI of given counties of a state. This project uses data from the Atlanta-based Centers for Disease Control and Prevention (CDC) and Opendata (which can be found on ESRI). Future studies can examine these health factors through spatial analysis in ArcPro using geoprocessing tools. The research hopes to aid in future applied research using geospatial means (hardware/software) that help us better understand aspects of health geography in Georgia.

Disciplines

Geographic Information Sciences | Human Geography | Physical and Environmental Geography | Spatial Science

Project Type

Poster

Jang_McDaniel_Project.mp4 (9794 kB)
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Jang_McDaniel_Project_Link.docx (40 kB)
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Social Vulnerability, Diabetes, and Obesity in Georgia

This project examines factors of health geography and population geography by examining the spatial correlation between diabetes and obesity prevalence among the population of Georgia. Diabetes and obesity are closely linked together, however, they are still far apart in various aspects which can be from personal to environmental impacts like geographical locations. This research attempts to investigate diabetes and obesity prevalence by examining the SVI of given counties of a state. This project uses data from the Atlanta-based Centers for Disease Control and Prevention (CDC) and Opendata (which can be found on ESRI). Future studies can examine these health factors through spatial analysis in ArcPro using geoprocessing tools. The research hopes to aid in future applied research using geospatial means (hardware/software) that help us better understand aspects of health geography in Georgia.

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