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      KCI등재 SCOPUS

      Socio-demographic Characteristics and Leading Causes of Death Among the Casualties of Meteorological Events Compared With All-cause Deaths in Korea, 2000-2011

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      https://www.riss.kr/link?id=A103920467

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      다국어 초록 (Multilingual Abstract)

      Objectives: This study investigated the socio-demographic characteristics and medical causes of death among meteorological disaster casualties and compared them with deaths from all causes. Methods: Based on the death data provided by the National Sta...

      Objectives: This study investigated the socio-demographic characteristics and medical causes of death among meteorological disaster casualties and compared them with deaths from all causes.
      Methods: Based on the death data provided by the National Statistical Office from 2000 to 2011, the authors analyzed the gender, age,and region of 709 casualties whose external causes were recorded as natural events (X330-X389). Exact matching was applied to compare between deaths from meteorological disasters and all deaths.
      Results: The total number of deaths for last 12 years was 2 728 505. After exact matching, 642 casualties of meteorological disasters were matched to 6815 all-cause deaths, which were defined as general deaths. The mean age of the meteorological disaster casualties was 51.56, which was lower than that of the general deaths by 17.02 (p<0.001). As for the gender ratio, 62.34% of the meteorological event casualties were male. While 54.09% of the matched all-cause deaths occurred at a medical institution, only 7.6% of casualties from meteorological events did. As for occupation, the rate of those working in agriculture, forestry, and fishery jobs was twice as high in the casualties from meteorological disasters as that in the general deaths (p<0.001). Meteorological disaster-related injuries like drowning were more prevalent in the casualties of meteorological events (57.48%). The rate of amputation and crushing injury in deaths from meteorological disasters was three times as high as in the general deaths Conclusions: The new information gained on the particular characteristics contributing to casualties from meteorological events will be useful for developing prevention policies.

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      참고문헌 (Reference)

      1 Nishikiori N, "Who died as a result of the tsunami? Risk factors of mortality among internally displaced persons in Sri Lanka: a retrospective cohort analysis" 6 : 73-, 2006

      2 Hahn RA, "The recording of demographic information on death certificates: a national survey of funeral directors" 117 (117): 37-43, 2002

      3 Doocy S, "The injury burden of the 2010 Haiti earthquake: a stratified cluster survey" 44 (44): 842-847, 2013

      4 Sanchez C, "Risk factors for mortality during the 2002 landslides in Chuuk, Federated States of Micronesia" 33 (33): 705-720, 2009

      5 Centre for Resesarch on the Epidemiology of Disasters, "Result for country profile. Step 2. Korea Rep country profile: natural disasters"

      6 Basu R, "Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence" 24 (24): 190-202, 2002

      7 Thacker MT, "Overview of deaths associated with natural events, United States, 1979- 2004" 32 (32): 303-315, 2008

      8 Li T, "Orthopaedic injury analysis in the 2010 Yushu, China earthquake" 43 (43): 886-890, 2012

      9 Ho DE, "MatchIt: nonparametric preprocessing for parametric causal inference" 42 (42): 1-28, 2011

      10 Intergovernmental Panel on Climate Change, "Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the Intergovernmental Panel on Climate Change" Cambridge University Press 39-43, 2012

      1 Nishikiori N, "Who died as a result of the tsunami? Risk factors of mortality among internally displaced persons in Sri Lanka: a retrospective cohort analysis" 6 : 73-, 2006

      2 Hahn RA, "The recording of demographic information on death certificates: a national survey of funeral directors" 117 (117): 37-43, 2002

      3 Doocy S, "The injury burden of the 2010 Haiti earthquake: a stratified cluster survey" 44 (44): 842-847, 2013

      4 Sanchez C, "Risk factors for mortality during the 2002 landslides in Chuuk, Federated States of Micronesia" 33 (33): 705-720, 2009

      5 Centre for Resesarch on the Epidemiology of Disasters, "Result for country profile. Step 2. Korea Rep country profile: natural disasters"

      6 Basu R, "Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence" 24 (24): 190-202, 2002

      7 Thacker MT, "Overview of deaths associated with natural events, United States, 1979- 2004" 32 (32): 303-315, 2008

      8 Li T, "Orthopaedic injury analysis in the 2010 Yushu, China earthquake" 43 (43): 886-890, 2012

      9 Ho DE, "MatchIt: nonparametric preprocessing for parametric causal inference" 42 (42): 1-28, 2011

      10 Intergovernmental Panel on Climate Change, "Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the Intergovernmental Panel on Climate Change" Cambridge University Press 39-43, 2012

      11 Jonkman SN, "Loss of life caused by the flooding of New Orleans after Hurricane Katrina: analysis of the relationship between flood characteristics and mortality" 29 (29): 676-698, 2009

      12 김주현, "Incidence and Mortality Rates of Disasters and Mass Casualty Incidents in Korea: A Population-Based Cross-Sectional Study, 2000-2009" 대한의학회 28 (28): 658-666, 2013

      13 Hales S, "Impacts on health of climate extremes, In Climate change and human health: risks and responses" World Health Organization 103-132, 2003

      14 Meehl GA, "Global climate projections, In Climate change 2007: the physical science basis" Cambridge University Press 747-845, 2007

      15 Lozano R, "Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010" 380 (380): 2095-2128, 2012

      16 FitzGerald G, "Flood fatalities in contemporary Australia (1997-2008)" 22 (22): 180-186, 2010

      17 Yeo SW, "Fiji’s worst natural disaster: the 1931 hurricane and flood" 34 (34): 657-683, 2010

      18 Navrud S, "Estimating the welfare loss to households from natural disasters in developing countries: a contingent valuation study of flooding in Vietnam" 5 : 17609-, 2012

      19 Centre for Resesarch on the Epidemiology of Disasters, "EMDAT: the OFDA/CRED International Disaster Database"

      20 Yune CY, "Debris flow in metropolitan area: 2011 Seoul debris flow" 10 (10): 199-206, 2013

      21 McMichael AJ, "Climate change and human health: present and future risks" 367 (367): 859-869, 2006

      22 Myung HN, "Causes of death and demographic characteristics of victims of meteorological disasters in Korea from 1990 to 2008" 10 (10): 1-9, 2011

      23 Guha-Sapir D, "Annual disaster statistical review 2010: the numbers and trends" Centre for Research on the Epidemiology of Disasters 21-23, 2011

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-06-28 학술지명변경 외국어명 : The Korean Journal of Preventive Medicine -> Journal of Preventive Medicine and Public Health KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.3 0.3 0.39
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.31 0.32 0.784 0.13
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