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The environmental burden of lung cancer attributable to indoor radon exposure in Korea
Juhwan Noh(노주환),Jungwoo Sohn(손정우),Heeseon Jang(장희선),Seong-Kyung Cho(조성경),Yun Tae Kim(김윤태),Eung Joo Park(박응주),Dae Ryong Kang(강대용),Dong Chun Shin(신동천),Changsoo Kim(김창수) 환경독성보건학회 2018 한국독성학회 심포지움 및 학술발표회 Vol.2018 No.6
고혈압, 당뇨, 뇌졸중 유병률에 대한 지역적 공간 자기상관 분석: 한국의 사례에 대하여
주성하 ( Sungha Ju ),노주환 ( Juhwan Noh ),김창수 ( Changsoo Kim ),허준 ( Joon Heo ) 한국보건정보통계학회(구 한국보건통계학회) 2017 보건정보통계학회지 Vol.42 No.4
Objectives: This study aims to derive correlation between disease prevalence and geographical adjacency, by using global and local autocorrelation. Methods: In order to derive the correlation, data provided by community health survey was utilized. The data contains disease prevalence rate for hypertension, diabete mellitus, stroke in 2012, covering the whole South Korea. Global autocorrelation analysis was implemented to derive the spatial characteristics of each disease prevalence rate, and local autocorrelation analysis was implemented to derive local spatial patterns of each disease prevalence rate. All the results are visualized into disease prevalence map. Results: All three diseases had significant spatial autocorrelation, and unique local clustering patterns were derived when local autocorrelation analysis was conducted. Spatial outliers, where disease prevalence rate was significantly different, were found and analyzed accordingly. Conclusions: The result of the study brought new insight towards spatial patterns of disease prevalence rate. The patterns of each diseases were unique, and spatial adjacency factor was found to be a grave influential factor in terms of disease prevalence rate. Also outlier regions, where disease prevalence rate is critically higher or lower and adjacent regions, were used for further analysis to figure out the reasons for disease prevalence. This study allows understanding of spatial characteristics of disease prevalence rate, thus enabling the spatial factors to be considered in terms of disease causation analysis, which can aid in decision making and resolving unbalanced medical service of community.