earticle

영어

Heatwave and high temperatures in summer increase the risk for people living in South Korea regions. They lead to elevating the number of heatwave patients and health risks which coming from any backgrounds of gender, age, and occupation. This study focusing on the South Korea heatwaves during the period of 2016 to 2019, where the most heatwave events occurred in 2018. The purpose of this study is to identify the social vulnerability of individual risk factors and climatic factors on heatwaves related patients across 254 administrative counties in South Korea by using the approach of SOM (Self Organizing Map)’s clustering analysis. The dataset used for SOM analysis consisted from 44 variables which derived from 8 domains such as gender, age, occupation, thermal symptom, time of incident, place of incidents, number of heatwave days, and tropical nights. From this preliminary study, it demonstrated that SOM able to distinguished dataset, similarity and dissimilarity, unique clustering and sensible partitioning of the data.