Geopatial Data Science and Health Research

Authors: Benjamin Zhan*, Texas State University, Xi Gong, University of New Mexico
Topics: Medical and Health Geography, Spatial Analysis & Modeling, Geographic Information Science and Systems
Keywords: Data Science; Health; GIS; Spatial Analysis
Session Type: Poster
Day: 4/4/2019
Start / End Time: 3:05 PM / 4:45 PM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded

Where we live matters to our health. Physical environment, socioeconomic conditions, and accessibility to healthcare services affect the health of an individual. Geospatial data science employs spatial analytics and data mining methods to analyze massive geographically-referenced data. It helps us gain insights about how location, place, community characteristics, accessibility to healthcare services, delivery of healthcare, and individual behaviors contribute to various health outcomes and disparities. These insights can be used to develop better healthcare policies and enhance healthcare programs and practices to improve the overall health of all citizens in the nation and the rest of the world. This poster presents two projects illustrating the power of geospatial data science in enhancing environmental health research.

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