Vol.16 No.9, March 09, 2023
Seongwoo Park, Joo-Yeon Hwang, Hyoeun Kim, Youngju Lee, JongHee Kim, Younjhin Ahn*
Public Health Weekly Report 2023; 16(9): 241-252 https://doi.org/10.56786/PHWR.2023.16.9.1The Korea Disease Control and Prevention Agency has been monitoring the incidences of heat-related illness (HRI) during the heat waves every summer via the HRI Surveillance System since 2011. During 2022 (20 May–30 September), a total of 1,564 cases of HRI were reported to the surveillance system including an estimate of nine deaths. In the summer of 2022 (May–September), the average heat wave days was 10.6 days, which was 10.2% lower than the summer of 2021. However, the incidence of HRI rose by 13.7%. The average daily maximum temperature in early July 2022 was 32.0℃, which was 4.3℃ higher than the previous year. During that period, 33% of all HRI occurred due to an early heat wave. Of the reported patients with HRI, there were more men than women, and the most commonly affected age group was 50–59 years. HRI occurred outdoors 4.6 times more frequently than indoors. Furthermore, HRI most commonly occurred in outdoor workplaces. There were an estimate of nine reported deaths in 2022, which was 55% lower than that in the previous year, and the reported estimated cause of death was heatstroke in all cases. Health hazards from heat waves caused by climate change are anticipated to rise continuously. Consequently, the importance of health surveillance and information sharing will become increasingly important.
Yongmoon Kim, Bryan Inho, Jia Lee, Jiyoung Oh, Seonyoung Lee, Soohyun Kim, Sujin Hong, Geehyuk Kim, Chungman Chae, Sangwoo Tak*
Public Health Weekly Report 2023; 16(9): 253-268 https://doi.org/10.56786/PHWR.2023.16.9.2The Division of Risk Assessment in Korea Disease Control and Prevention Agency has operated event-based surveillance (EBS) for early detection of foreign infectious disease outbreak and risk communication. In this report, we analyzed descriptive statistics of events which is registered on EBS database from November 2021 to October 2022 and present the descriptive statistics of the collected events using several criteria, including collection time, data sources, disease type, continents affected by outbreaks, and communication. In discussion, we address the need to enhance speed, accuracy and precision in detecting infectious disease outbreak events. Additionally, we propose expanding local public health network, active information sharing between open-source epidemic intelligence system users and training experts on EBS as solutions to improve current EBS.
Myung-Jae Hwang, So Yeon Park, Hyungjun Kim, Se Jeong Yang, Sungchan Yang, Jin Seon Yang
Public Health Weekly Report 2025;18: 17-32 https://doi.org/10.56786/PHWR.2025.18.1.2Hyewook Hwang, Wookeon Lee, Seohyeon Ahn, Young-Sook Choi, Seunghyun Lewis Kwon, Dongwoo Lee, Eun Hwa Choi, SokGoo Lee
Public Health Weekly Report 2025;18: 90-102 https://doi.org/10.56786/PHWR.2025.18.2.3+82-43-719-7569