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Identification of Disaster-Vulnerable Communities by Use of Census Data Prior to the Great East Japan Earthquake

Published online by Cambridge University Press:  04 March 2015

Aya Ishiguro ,
Yuriko Togita ,
Mariko Inoue ,
Takayoshi Ohkubo  and
Eiji Yano
Aya Ishiguro
Affiliation:
Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
Yuriko Togita
Affiliation:
Graduate School of Public Health, Teikyo University, Tokyo, Japan.
Mariko Inoue
Affiliation:
Graduate School of Public Health, Teikyo University, Tokyo, Japan.
Takayoshi Ohkubo
Affiliation:
Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
Eiji Yano*
Affiliation:
Graduate School of Public Health, Teikyo University, Tokyo, Japan.
*
Correspondence and reprint requests to Eiji Yano, MD, MPH, DMSc, Graduate School of Public Health, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan (e-mail: eyano@med.teikyo-u.ac.jp).
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Abstract

Objectives

The role of the community is becoming increasingly recognized as a crucial determinant of human health, particularly during a disaster and during disaster recovery. To identify disaster-vulnerable communities, we sought factors related to communities in need of support by using census information from before the Great East Japan Earthquake.

Methods

We identified vulnerable communities by using a needs-assessment survey conducted 6 to 12 months after the Great East Japan Earthquake in Ishinomaki City, Miyagi Prefecture, as indicated by higher proportions of households with at least 1 of 3 major support needs (medical, elderly, psychological, and dwelling environment). The associations between the need for support and 9 demographic characteristics of the community from census data prior to the Great East Japan Earthquake were examined for 71 communities by use of logistic regression analysis.

Results

The need for elderly support was positively associated with the proportions of aged people (odds ratio [OR]=1.5; 95% confidence interval [CI]: 1.2–1.8) and one-person households (OR=1.3; 95% CI: 1.0–1.7), whereas the need for psychological support was associated with the proportion of people engaged in agriculture (OR=4.6; 95% CI: 1.0–20.7). The proportion of fisheries was negatively associated with the need for dwelling environment support (OR=0.5; 95% CI: 0.3–0.9).

Conclusions

The consideration of simple demographic characteristics from the census may be useful for identifying vulnerable communities and preparing for future disasters. (Disaster Med Public Health Preparedness. 2015;9:19-28)

Keywords

vulnerable communitydisastersneed for supportcensus
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 9 , Issue 1 , February 2015 , pp. 19 - 28
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2015 

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References

1.Marmot, M, Wilkinson, RG. Social Determinants of Health. 2nd ed.New York, NY: Oxford University Press; 2005.CrossRefGoogle ScholarPubMed
2.Rose, G. The Strategy of Preventive Medicine. Oxford, United Kingdom: Oxford University Press; 1992.Google Scholar
3. Science Council of Japan. “Hito” to “Community” no Chikarawo Ikashita Fukkomachidukurino Platform Keiseino Kinkyuteigen. http://www.scj.go.jp/ja/info/kohyo/pdf/kohyo-22-t166-1.pdf. Published 2012. Accessed July 15, 2014.Google Scholar
4.Matsumoto, S, Yamaoka, K, Inoue, M, et al. Social ties may play a critical role in mitigating sleep difficulties in disaster-affected communities: a cross-sectional study in the Ishinomaki Area, Japan. SLEEP. 2014;37:137-145.Google ScholarPubMed
5. Terminology on Disaster Risk Reduction. UNISDR website. http://www.unisdr.org/we/inform/terminology. Accessed July 15, 2014.Google Scholar
6.United Nations Office for Disaster Risk Reduction. Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters. Geneva, Switzerland: UNISDR; 2005. http://www.unisdr.org/we/inform/publications/1037. Accessed January 20, 2015.Google Scholar
7.Morrow, BH. Identifying and mapping vulnerability. Disasters. 1999;23:1-18.Google Scholar
8.Juntunen, L. Addressing social vulnerability to hazards. Disaster Safety Rev. 2005;4:3-10.Google Scholar
9.Flanagan, BE, Gregory, EW, Hallisey, EJ, Heitgerd, JL, Lewis, B. A social vulnerability index for disaster management. J Homeland Secur Emerg Manage. 2011;8.Google Scholar
10.Wood, NJ, Burton, CG, Cutter, SL. Community variations in social vulnerability to Cascadia-related tsunamis in the U.S. Pacific Northwest. Nat Hazards (Dordr). 2010;52:369-389.CrossRefGoogle Scholar
11.Masami, N. Chiikino Koushueisei Shindan. Tokyo, Japan: Japan Public Health Association; 1985.Google Scholar
12. Data of east Pacific Ocean coast region and data related to disaster [database online] [in Japanese]. Statistics Bureau, Ministry of Internal Affairs and Communications; 2013. http://www.stat.go.jp/info/shinsai/. Updated September 2013. Accessed July 15, 2014.Google Scholar
13.Muto, S. Zaitaku Iryokara Ishinomakino Fukkoni Nozonda 731 Nichikan. Tokyo, Japan: Nikkei BP; 2013.Google Scholar
14. 2010 Population Census, Aggregation of sub-regional [database online] [in Japanese]. Statistics Bureau, Ministry of Internal Affairs and Communications; 2010. http://www.e-stat.go.jp/SG1/estat/List.do?bid=000001036150&cycode=0. Updated October 2012. Accessed July 15, 2014.Google Scholar
15. Statistics Bureau, Ministry of Internal Affairs and Communications. Explanation of terms. http://www.stat.go.jp/english/data/kokusei/2010/pdf/ex.pdf. Accessed July 15, 2014.Google Scholar
16. City Bureau, Ministry of Land, Infrastructure and Transport. Higashi-Nihon Daishinsai tsunamihisai shigaichi fukkoushien chousa. http://fukkou.csis.u-tokyo.ac.jp/dataset/show/id/1111. Accessed July 15, 2014.Google Scholar
17. Miyagi Prefecture, Crisis Division. Higashi-Nishon Daishinsai niokeru higaitou jokyo. http://www.pref.miyagi.jp/uploaded/attachment/90212.pdf. Accessed July 15, 2014.Google Scholar
18. Miyagi Prefectural Police. Mimoto ga kakunin sareta giseisha no katagata. http://www.police.pref.miyagi.jp/hp/jishin/itai/kakunin/itai_kakunin.html. Accessed March 1, 2013.Google Scholar
19.Noji, EK. The public health consequences of disasters. Prehosp Disaster Med. 2000;15:147-157.Google Scholar
20.Choudhary, E, Chen, TH, Martin, C, et al. Public health needs assessments of Tutuila Island, American Samoa, after the 2009 tsunami. Disaster Med Public Health Prep. 2012;6:209-216.CrossRefGoogle ScholarPubMed
21.Guha-Sapira, D, Lechata, MF. The impact of natural disasters: a brief analysis of characteristics and trends. Prehosp Disaster Med. 1986;2:221-223.Google Scholar
22.Kunii, O. Saigaijino Koshu Eisei. Tokyo, Japan: Nanzando; 2012.Google Scholar
23. Statistics Bureau, Ministry of Internal Affairs and Communications. Outline of the 2010 Population Census of Japan. http://www.stat.go.jp/english/data/kokusei/2010/pdf/outline.pdf. Accessed July 15, 2014.Google Scholar
24.Phillips, BD. Disaster Recovery. CRC Press; 2009.Google Scholar
25. Tohoku Regional Bureau, Ministry of Land, Infrastructure and Transport. Kitakamigawa suikeikasen seibikeikaku. http://www.thr.mlit.go.jp/karyuu/info/kitakami_kasenseibi/121120_sakutei/kitakamihonbun.pdf. Accessed 6 June, 2013.Google Scholar
26.Lemyre, L, Gibson, S, Zlepnig, J, et al. Emergency preparedness for higher risk populations: psychosocial considerations. Radiat Prot Dosimetry. 2009;134:207-214.Google Scholar
27.King, D. Uses and limitations of socioeconomic indicators of community vulnerability to natural hazards: data and disasters in Northern Australia. Nat Hazards (Dordr). 2001;24:147-156.Google Scholar