Literature DB >> 31385090

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

Youn-Hee Lim1,2, Kyung-Shin Lee1,2, Hyun-Joo Bae3, Dowoo Kim4, Hyosoon Yoo5, Sungwoo Park5, Yun-Chul Hong6,7,8.   

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.

Entities:  

Keywords:  Attributable mortality; Health impact; Heat waves; Temperature

Mesh:

Year:  2019        PMID: 31385090     DOI: 10.1007/s00484-019-01774-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  20 in total

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Authors:  P Pirard; S Vandentorren; M Pascal; K Laaidi; A Le Tertre; S Cassadou; M Ledrans
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3.  A vulnerability study of the low-income elderly in the context of high temperature and mortality in Seoul, Korea.

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Journal:  Sci Total Environ       Date:  2006-09-26       Impact factor: 7.963

4.  High temperature, heat index, and mortality in 6 major cities in South Korea.

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Journal:  Arch Environ Occup Health       Date:  2006 Nov-Dec       Impact factor: 1.663

5.  Changes in the association between summer temperature and mortality in Seoul, South Korea.

Authors:  Jongsik Ha; Ho Kim
Journal:  Int J Biometeorol       Date:  2012-08-08       Impact factor: 3.787

Review 6.  Effect modification of individual- and regional-scale characteristics on heat wave-related mortality rates between 2009 and 2012 in Seoul, South Korea.

Authors:  E-Jin Kim; Ho Kim
Journal:  Sci Total Environ       Date:  2017-04-03       Impact factor: 7.963

7.  Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis.

Authors:  Youn-Hee Lim; Rina So; Choongho Lee; Yun-Chul Hong; Minseon Park; Logyoung Kim; Hyung-Jin Yoon
Journal:  Sci Total Environ       Date:  2017-10-28       Impact factor: 7.963

8.  Estimating the Effects of PM2.5 on Life Expectancy Using Causal Modeling Methods.

Authors:  Joel D Schwartz; Yan Wang; Itai Kloog; Ma'ayan Yitshak-Sade; Francesca Dominici; Antonella Zanobetti
Journal:  Environ Health Perspect       Date:  2018-12       Impact factor: 9.031

9.  The effects of temperature on heat-related illness according to the characteristics of patients during the summer of 2012 in the Republic of Korea.

Authors:  Wonwoong Na; Jae-Yeon Jang; Kyung Eun Lee; Hyunyoung Kim; Byungyool Jun; Jun-Wook Kwon; Soo-Nam Jo
Journal:  J Prev Med Public Health       Date:  2013-01-31

10.  An Investigation on Attributes of Ambient Temperature and Diurnal Temperature Range on Mortality in Five East-Asian Countries.

Authors:  Whan-Hee Lee; Youn-Hee Lim; Tran Ngoc Dang; Xerxes Seposo; Yasushi Honda; Yue-Liang Leon Guo; Hye-Min Jang; Ho Kim
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

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  2 in total

1.  Using logic regression to characterize extreme heat exposures and their health associations: a time-series study of emergency department visits in Atlanta.

Authors:  Shan Jiang; Joshua L Warren; Noah Scovronick; Shannon E Moss; Lyndsey A Darrow; Matthew J Strickland; Andrew J Newman; Yong Chen; Stefanie T Ebelt; Howard H Chang
Journal:  BMC Med Res Methodol       Date:  2021-04-26       Impact factor: 4.615

2.  Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data.

Authors:  Misun Kang; Kyu Rang Kim; Ju-Young Shin
Journal:  Int J Environ Res Public Health       Date:  2020-04-11       Impact factor: 3.390

  2 in total

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