As a basic research to investigate geographical variations of diseases, this study analyzes and compares spatial patterns of 24 different diseases in South Korea using prevalence rate data provided by Community Health Survey in 2012. Descriptive statistical analysis, global Moran's I computation, and disease mapping were conducted to examine spatial associations and patterns of each disease. After the unique spatial patterns and distinctive spatial associations of each disease were observed, we concluded that 12 diseases displayed statistically significant spatial autocorrelation while the other 12 showed no spatial associations. This study suggests that diseases are caused by different risk factors and possess different etiological mechanisms. Furthermore, the study may lay foundation for future studies of geographical variations of disease prevalence in South Korea.
|Number of pages
|Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
|Published - 2016 Jun
Bibliographical notePublisher Copyright:
© 2016, Korean Society of Surveying. All rights reserved.
All Science Journal Classification (ASJC) codes
- General Earth and Planetary Sciences