Multiple Sclerosis Disease and County-level Contextual Characteristics: A Case Study in New England Region

Authors: Yunliang Meng*, Central Connecticut State University, Richard Malavasi, The Hartford
Topics: Spatial Analysis & Modeling, Medical and Health Geography
Keywords: Multiple Sclerosis disease, Geographical Weighted Regression, Spatial Analysis
Session Type: Poster
Day: 4/11/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded


There is growing interest in the role the environment as well as demographic and socio-economic factors play in the prevalence of Multiple Sclerosis (MS) disease in the US. Existing empirical evidence examining the association between the environment and MS disease risk, however, remains equivocal. The objectives of this research are to examine 1) the spatial differences in county-level MS death rates across the New England region; and 2) the relationship between the MS death rates and contextual characteristics at county level in New England region. The analysis shows that higher percentage of white people, less sunlight exposure, and urban environments were associated with the MS death rate in the New England Region. Most importantly, the association between the MS death rate and all major explanatory variables in our analysis significantly varied over space.

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