Evidence map›Paper›PMID 29143880›Full record

ArticleInternational journal of biometeorology2018

Effects of heat waves on daily excess mortality in 14 Korean cities during the past 20 years (1991-2010): an application of the spatial synoptic classification approach.

Dae-Geun Lee, Kyu Rang Kim, Jiyoung Kim, Baek-Jo Kim, Chun-Ho Cho, Scott C Sheridan, Laurence S Kalkstein, Ho Kim, Seung-Muk Yi

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dae-Geun LeeNational Institute of Meteorological Sciences, Korea Meteorological Administration, 33 Seohobuk-ro, Seogwipo-si, Jeju, 63568, South Korea. dglee7@korea.kr.ORCID http://orcid.org/0000-0001-6026-4153
Kyu Rang KimNational Institute of Meteorological Sciences, Korea Meteorological Administration, 33 Seohobuk-ro, Seogwipo-si, Jeju, 63568, South Korea.
Jiyoung KimNational Meteorological Satellite Center, Korea Meteorological Administration, Gwanghyewon, South Korea.
Baek-Jo KimNational Institute of Meteorological Sciences, Korea Meteorological Administration, 33 Seohobuk-ro, Seogwipo-si, Jeju, 63568, South Korea.
Chun-Ho ChoNational Institute of Meteorological Sciences, Korea Meteorological Administration, 33 Seohobuk-ro, Seogwipo-si, Jeju, 63568, South Korea.
Scott C SheridanDepartment of Geography, Kent State University, Kent, OH, 44242, USA.
Laurence S KalksteinDepartment of Public Health Sciences, University of Miami, Florida, 33136, USA.
Ho KimSchool of Public Health, Seoul National University, Seoul, South Korea.
Seung-Muk YiSchool of Public Health, Seoul National University, Seoul, South Korea.

Funding

Korea Meteorological Administration (KR) NIMS-2016-3100
6 · The paper itself

Abstract

The aims of this study are to explore the "offensive" summer weather types classified under the spatial synoptic classification (SSC) system and to evaluate their impacts on excess mortality in 14 Korean cities. All-cause deaths per day for the entire population were examined over the summer months (May-September) of 1991-2010. Daily deaths were standardized to account for long-term trends of subcycles (annual, seasonal, and weekly) at the mid-latitudes. In addition, a mortality prediction model was constructed through multiple stepwise regression to develop a heat-health warning system based on synoptic climatology. The result showed that dry tropical (DT) days during early summer caused excess mortality due to non-acclimatization by inhabitants, and moist tropical (MT) plus and double plus resulted in greater spikes of excess mortality due to extremely hot and humid conditions. Among the 14 Korean cities, highly excess mortality for the elderly was observed in Incheon (23.2%, 95%CI 5.6), Seoul (15.8%, 95%CI 2.6), and Jeonju (15.8%, 95%CI 4.6). No time lag effect was observed, and excess mortality gradually increased with time and hot weather simultaneously. The model showed weak performance as its predictions were underestimated for the validation period (2011-2015). Nevertheless, the results clearly revealed the efficiency of relative and multiple-variable approaches better than absolute and single-variable approaches. The results indicate the potential of the SSC as a suitable system for investigating heat vulnerability in South Korea, where hot summers could be a significant risk factor.

Indexed as

AgedCitiesHot TemperatureHumansMortalityRepublic of KoreaExcess mortalityHeat–health warning systemKoreaSpatial synoptic classification

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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.