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Review
. 2022 Sep 28;19(19):12351.
doi: 10.3390/ijerph191912351.

Examining the Indirect Death Surveillance System of The Great East Japan Earthquake and Tsunami

Affiliations
Review

Examining the Indirect Death Surveillance System of The Great East Japan Earthquake and Tsunami

Xiang Zheng et al. Int J Environ Res Public Health. .

Abstract

The long-term mortality risk of natural disasters is a key threat to disaster resilience improvement, yet an authoritative certification and a reliable surveillance system are, unfortunately, yet to be established in many countries. This study aimed to clarify the mechanism of post-disaster indirect deaths in Japan, to improve the existing disaster recovery evaluation system and support decision making in public policy. This study first investigated the definition of indirect deaths via a literature review before examining the observed number of indirect deaths via case study, census data from the Population Demographic and Household Surveys, other social surveys, and reports in the case of the Great East Japan Earthquake and Tsunami, which severely damaged northeastern Japan, especially the three prefectures, which are the target areas in this context (i.e., Fukushima, Iwate, and Miyagi). It was found that the reported number of indirect deaths was significantly underestimated. In total, 4657 indirect deaths were estimated to have occurred in the target prefectures. This was higher than the reported number, which was 3784. The overall statistics established via collaboration between local administrations and governments can be improved to provide better reference for researchers and policymakers to investigate the long-term effects of natural disaster.

Keywords: earthquake fatalities; excess mortality; indirect death; long-term effects; surveillance system.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Annual all-cause crude death rates per 100,000 persons in Fukushima, Iwate, Miyagi, and Japan from 1975–2019.
Figure 2
Figure 2
Annual geographical distribution of accumulated reported indirect death number of the Great East Japan Earthquake and Tsunami of 131 municipalities in Miyagi, Fukushima, and Iwate from March 2012–2021.
Figure 3
Figure 3
All-cause death per 10,000 population of the municipality in Miyagi during 2000 and 2020. The bottom right gray number of each plot is the number of observed indirect deaths by March 2019 reported by the Reconstruction Agency; the bottom left black number of each plot is the estimated number of total excess deaths in the prefecture between January 2011 and December 2017. The top right blue number of each plot is the estimated indirect deaths calculated by subtracting reported direct deaths from total excess deaths; the top left red number of each plot is the under-counted number calculated by subtracting reported indirect deaths from estimated indirect deaths. * = p < 0.05, ** = p < 0.001, *** = p < 0.001.
Figure 4
Figure 4
All-cause death per 10,000 population of municipality in Iwate during 2000 and 2020. The bottom right gray number of each plot is the number of observed indirect deaths by March 2019 reported by the Reconstruction Agency. The bottom left black number of each plot is the estimated number of total excess deaths in the prefecture between January 2011 and December 2017. The top right blue number of each plot is the estimated indirect deaths calculated by subtracting reported direct deaths from total excess deaths. The top left red number of each plot is the under-counted number calculated by subtracting reported indirect deaths from estimated indirect deaths. * = p < 0.05, ** = p < 0.001, *** = p < 0.001.
Figure 5
Figure 5
All-cause death per 10,000 population of municipality in Fukushima during 2000 and 2020. The bottom right gray number of each plot is the number of observed indirect deaths by March 2019 reported by the Reconstruction Agency; the bottom left black number of each plot is the estimated number of total excess deaths in the prefecture between January 2011 and December 2017. The top right blue number of each plot is the estimated indirect deaths calculated by subtracting reported direct deaths from total excess deaths; the top left red number of each plot is the undercounted number calculated by subtracting reported indirect deaths from estimated indirect deaths. * = p < 0.05, ** = p < 0.001, *** = p < 0.001.
Figure 6
Figure 6
Actuality and estimation of all-cause crude death rate during 2000–2019 in three prefectures The bottom right gray number of each plot is the number of observed indirect deaths by March 2019 reported by the Reconstruction Agency. The bottom left black number of each plot is the estimated number of total excess deaths in the prefecture between January 2011 and December 2017. The top right blue numbers of each plot is estimated indirect death calculated by subtracting reported direct deaths from total excess deaths. The top left red number of each plot is the under-counted number calculated by subtracting observed deaths from estimated indirect deaths.

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References

    1. General Assembly . Resolution Adopted by the General Assembly on 3 June 2015. United Nations; New York, NY, USA: 2016.
    1. United Nations . The Sendai Framework for Disaster Risk Reduction. United Nations; New York, NY, USA: 2015.
    1. Uscher-Pines L. “But for the Hurricane”: Measuring Natural Disaster Mortality over the Long Term. Prehospital Disaster Med. 2007;22:149. doi: 10.1017/S1049023X00004544. - DOI - PubMed
    1. McKinney N., Houser C., Meyer-Arendt K. Direct and indirect mortality in Florida during the 2004 hurricane season. Int. J. Biometeorol. 2011;55:533–546. doi: 10.1007/s00484-010-0370-9. - DOI - PubMed
    1. Wirtz A., Kron W., Löw P., Steuer M. The need for data: Natural disasters and the challenges of database management. Nat. Hazards. 2014;70:135–157. doi: 10.1007/s11069-012-0312-4. - DOI

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