Climate Change: Perspective
- Characteristics of Heat Waves From a Disaster Perspective
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Do-Woo Kim, Chaeyoung Kwon, Jineun Kim, Jong-Seol Lee
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J Prev Med Public Health. 2020;53(1):26-28. Published online January 31, 2020
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DOI: https://doi.org/10.3961/jpmph.19.315
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4,395
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Abstract
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- In September 2018, heat waves were declared to be a type of natural disaster by the Framework Act on the Management of Disasters and Safety. The present study examined the characteristics of heat waves from the perspectives of meteorological phenomena and health damage. The government’s efforts to minimize the damages incurred by heat waves are summarized chronologically. Furthermore, various issues pertaining to heat waves that are being raised in our society despite the government’s efforts are summarized by analyzing big data derived from reported news and academic articles.
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Summary
Korean summary
2018년 9월, 폭염이 재난 및 안전 관리 기본법 상 자연재난의 한 유형으로 명시되었다. 본 연구는 다른 자연재난들과 구별되는 폭염 재난의 특징들을 기상학적과 보건학적 측면으로 나누어 제시하였다. 또한 폭염 피해를 줄이기 위한 그간 정부의 각종 노력들을 시간순서대로 정리하였으며, 뉴스와 논문 빅데이터 분석을 통해 최근에 우리사회에서 폭염과 관련된 어떤 이슈들이 떠오르고 있는지도 살펴보았다.
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Original Article
- The Effects of Temperature on Heat-related Illness According to the Characteristics of Patients During the Summer of 2012 in the Republic of Korea
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Wonwoong Na, Jae-Yeon Jang, Kyung Eun Lee, Hyunyoung Kim, Byungyool Jun, Jun-Wook Kwon, Soo-Nam Jo
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J Prev Med Public Health. 2013;46(1):19-27. Published online January 31, 2013
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DOI: https://doi.org/10.3961/jpmph.2013.46.1.19
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11,755
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- Objectives
This study was conducted to investigate the relationship between heat-related illnesses developed in the summer of 2012 and temperature.
MethodsThe study analyzed data generated by a heat wave surveillance system operated by the Korea Centers for Disease Control and Prevention during the summer of 2012. The daily maximum temperature, average temperature, and maximum heat index were compared to identify the most suitable index for this study. A piecewise linear model was used to identify the threshold temperature and the relative risk (RR) above the threshold temperature according to patient characteristics and region.
ResultsThe total number of patients during the 3 months was 975. Of the three temperature indicators, the daily maximum temperature showed the best goodness of fit with the model. The RR of the total patient incidence was 1.691 (1.641 to 1.743) per 1℃ after 31.2℃. The RR above the threshold temperature of women (1.822, 1.716 to 1.934) was greater than that of men (1.643, 1.587 to 1.701). The threshold temperature was the lowest in the age group of 20 to 64 (30.4℃), and the RR was the highest in the ≥65 age group (1.863, 1.755 to 1.978). The threshold temperature of the provinces (30.5℃) was lower than that of the metropolitan cities (32.2℃). Metropolitan cities at higher latitudes had a greater RR than other cities at lower latitudes.
ConclusionsThe influences of temperature on heat-related illnesses vary according to gender, age, and region. A surveillance system and public health program should reflect these factors in their implementation.
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