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A comparative study on the hotspot area in the Echelon analysis and spatial scan statistic using Korean cancer outbreak data
Journal of the Korean Data & Information Science Society 2018;29:975-85
Published online July 31, 2018
© 2018 Korean Data and Information Science Society.

Youngseo Shin1 · Dongjae Kim2

12Department of Biomedicine · Health Science, The Catholic University of Korea
Correspondence to: Professor, Department of Biomedicine · Health Science, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul 137-701, Korea. E-mail: djkim@catholic.ac.kr
Received June 11, 2018; Revised July 10, 2018; Accepted July 12, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The Spatial Scan Statistic proposed by Kulldorff (1997) is a method of finding hotspots by searching for this original area with the center of the circle around which the data is acquired. This method is often used to find hot spots. However, this method has disadvantages in detecting only the circular hotspot. Echelon Analysis is not limited to circular type and can detect hotspots in all areas. Therefore, the paper compared the Echelon analysis and Kulldorff’s method. we analyzed the actual data on 24 cancers outbreaks from 1999 to 2013. The Echelon analysis analyzed hotspot areas based on incidence rate and Age Standardization Rate.
Keywords : Echelon analysis, hotspot, spatial data, spatial scan statistic.