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International Journal of Biometeorology

, Volume 63, Issue 12, pp 1621–1629 | Cite as

Estimation of heat-related deaths during heat wave episodes in South Korea (2006–2017)

  • Youn-Hee Lim
  • Kyung-Shin Lee
  • Hyun-Joo Bae
  • Dowoo Kim
  • Hyosoon Yoo
  • Sungwoo Park
  • Yun-Chul HongEmail author
Original Paper
  • 145 Downloads

Abstract

In 2016, South Korea experienced extremely high temperatures and the Korea Centre for Disease Control and Prevention (KCDC) reported 17 heat-caused deaths during these heat waves, most due to heat stroke. Because the reported number of heat-caused deaths is only part of the total deaths associated with heat waves, we aimed to estimate attributable deaths during heat wave episodes. We linked mortality to meteorological data in 16 regions in South Korea and estimated relative risk at or above threshold of maximum temperature during summer using generalized linear regression models after controlling for confounders. We computed overall, age-, sex-, and cause-specific attributable deaths from 2006 to 2017. With a 1.5% increase in all-cause mortality per 1 °C increase in concurrent days’ maximum temperature during summer, this study estimates a total of 1440 all-cause deaths associated with heat waves during the 2006–2017 study period in South Korea. We estimate that 343 deaths in 2016 can be ascribed to heat waves, which is approximately 20 times more than the number reported by the KCDC (17 heat-caused deaths). This study addresses attributable heat wave deaths in South Korea and illustrates that the reports of medically classified heat-caused deaths seriously underestimate the number of deaths attributable to heat waves. Our findings may enable the implementation and reinforcement of government- and individual-level management strategies for heat waves.

Keywords

Attributable mortality Health impact Heat waves Temperature 

Abbreviations

AC

attributable mortality counts

aAC

annual attributable mortality counts

cAC

cumulative attributable mortality counts

CI

confidence intervals

ER

emergency room

ICD

international classification of diseases

KCDC

Korea Centre for Disease Control and Prevention

KMA

Korea Meteorological Administration

KOSIS

Korean Statistical Information Service

RR

relative risk

Notes

Funding information

This research was supported by the Women Scientist Research Program through the National Research Foundation of Korea (NRF) and funded by the Ministry of Science, ICT, and Future Planning (#2015R1A1A3A04001325); the Korea Centre for Disease Control and Prevention (#20180202D8A-00); National Disaster Management Research Institute (#21183078700); and the Centre for Environmental Health through the Ministry of Environment.

Compliance with ethical standards

Competing interests

The authors declare that they have no competing interests.

Supplementary material

484_2019_1774_MOESM1_ESM.docx (300 kb)
ESM 1 (DOCX 300 kb).

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Copyright information

© ISB 2019

Authors and Affiliations

  • Youn-Hee Lim
    • 1
    • 2
  • Kyung-Shin Lee
    • 1
    • 2
  • Hyun-Joo Bae
    • 3
  • Dowoo Kim
    • 4
  • Hyosoon Yoo
    • 5
  • Sungwoo Park
    • 5
  • Yun-Chul Hong
    • 1
    • 2
    • 6
    Email author
  1. 1.Institute of Environmental MedicineSeoul National University Medical Research CenterSeoulRepublic of Korea
  2. 2.Environmental Health CenterSeoul National University College of MedicineSeoulRepublic of Korea
  3. 3.Korea Environment InstituteSejongRepublic of Korea
  4. 4.National Disaster Management Research InstituteUlsanRepublic of Korea
  5. 5.Korea Centre for Disease Control and PreventionCheongjuRepublic of Korea
  6. 6.Department of Preventive MedicineSeoul National University College of MedicineSeoulRepublic of Korea

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