Evidence map›Paper›PMID 31385090›Full record

ArticleInternational journal of biometeorology2019

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 Hong

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Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Youn-Hee LimInstitute of Environmental Medicine, Seoul National University Medical Research Center, 103 Daehakro, Jongno-Gu, Seoul, 110-799, Republic of Korea.
Kyung-Shin LeeInstitute of Environmental Medicine, Seoul National University Medical Research Center, 103 Daehakro, Jongno-Gu, Seoul, 110-799, Republic of Korea.
Hyun-Joo BaeKorea Environment Institute, Sejong, Republic of Korea.
Dowoo KimNational Disaster Management Research Institute, Ulsan, Republic of Korea.
Hyosoon YooKorea Centre for Disease Control and Prevention, Osong, Cheongju, Republic of Korea.
Sungwoo ParkKorea Centre for Disease Control and Prevention, Osong, Cheongju, Republic of Korea.
Yun-Chul HongInstitute of Environmental Medicine, Seoul National University Medical Research Center, 103 Daehakro, Jongno-Gu, Seoul, 110-799, Republic of Korea. ychong1@snu.ac.kr.

Funding

Korea Centre for Disease Control and Prevention 20180202D8A-00National Disaster Management Research Institute 21183078700National Research Foundation of Korea 2015R1A1A3A04001325
6 · The paper itself

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.

Indexed as

Hot TemperatureMortalityCause of DeathRepublic of KoreaSeasonsTemperatureAttributable mortalityHealth impactHeat wavesTemperature

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.