@article{ref1,
title="A pilot study using geospatial analysis to identify hot-spot of populations utilizing services at university based counseling centers",
journal="Journal of American college health",
year="2020",
author="Patel, Rahul S. and Walker, Tanesha and Weber, Zachary T. and Kelley, Sarah D. and Hansen, Ryan",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: Our pilot study tests whether university counseling centers (UCC) can apply the concept of cluster analysis, and geospatial analysis to identify clusters of &quot;hot spots&quot;. Participants: Study participants were university students who received services from a large mid-western UCC between August 2015 and July 2016. The study was approved by the University's Institutional Review Board (IRB). Data collected include demographics, address, educational level and declared major. <br><br>METHODS: Data analysis, conducted using SYSTAT 13.1, IBM SPSS Statistics, ArcGIS Desktop and 10.2, ArcOnline, Microsoft excel to clean and analyze demographic data. Analysis included optimized cluster analysis with a p-value < 0.05 as statistically significant. <br><br>RESULTS: 927 participants, average age was 21.6. We identified &quot;hotspots&quot; using cluster analysis based on age, address, and country of origin. <br><br>CONCLUSIONS: Our study shows that UCCs can apply cluster analysis, and geospatial analysis to identify clusters of &quot;hot spots&quot; to target risk populations.<p /> <p>Language: en</p>",
language="en",
issn="0744-8481",
doi="10.1080/07448481.2020.1798970",
url="http://dx.doi.org/10.1080/07448481.2020.1798970"
}