@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 "hot spots". 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.

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.

RESULTS: 927 participants, average age was 21.6. We identified "hotspots" using cluster analysis based on age, address, and country of origin.

CONCLUSIONS: Our study shows that UCCs can apply cluster analysis, and geospatial analysis to identify clusters of "hot spots" to target risk populations.

Language: en

", language="en", issn="0744-8481", doi="10.1080/07448481.2020.1798970", url="http://dx.doi.org/10.1080/07448481.2020.1798970" }