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JDR Vol.15 No.1 pp. 41-52
(2020)
doi: 10.20965/jdr.2020.p0041

Paper:

A Study on Disaster Medical Response During the Great East Japan Earthquake Disaster Based on the Emergency Support Function – Nine Days at Iwate Prefecture from Hyperacute to Subacute Phase –

Shinji Akitomi*1,†, Akira Koyama*2, Tomohiro Kokogawa*2, Yuji Maeda*2, Reo Kimura*3, Keiko Tamura*4, Haruo Hayashi*5, and Kimiro Meguro*6

*1National Defense Medical College
3-2 Namiki, Tokorozawa, Saitama 359-8513, Japan

Corresponding author

*2NTT Secure Platform Laboratories, Tokyo, Japan

*3University of Hyogo, Hyogo, Japan

*4Niigata University, Niigata, Japan

*5National Research Institute for Earth Science and Disaster Resilience (NIED), Ibaraki, Japan

*6The University of Tokyo, Tokyo, Japan

Received:
July 16, 2019
Accepted:
November 25, 2019
Published:
February 1, 2020
Keywords:
Disaster Medical Assistance Team (DMAT), Incident Command System (ICS), Emergency Support Function (ESF)
Abstract

During the Great East Japan Earthquake Disaster, the medical team’s responses in the Iwate Prefecture Emergency Operation Center (EOC) experienced many difficulties, especially in the first nine days after disaster occurrence. In this paper we proposed to objectively reveal problems of response activities at the viewpoint of information processing by the After Action Review (AAR), focusing on the activity logs in the time series (chronologies). By using the Emergency Support Function (ESF) as a framework of our analysis, we clarified the gap between the task that should be performed and actual conditions in the operation of the Japan Disaster Medical Assistance Team (DMAT) from the hyperacute phase to the subacute phase of medical responses.

Cite this article as:
S. Akitomi, A. Koyama, T. Kokogawa, Y. Maeda, R. Kimura, K. Tamura, H. Hayashi, and K. Meguro, “A Study on Disaster Medical Response During the Great East Japan Earthquake Disaster Based on the Emergency Support Function – Nine Days at Iwate Prefecture from Hyperacute to Subacute Phase –,” J. Disaster Res., Vol.15 No.1, pp. 41-52, 2020.
Data files:
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