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Estimation of Pregnant Women Possibly Left Behind in Tsunami Predicted Areas of Nagoya City: A Simulation for Rescue Planning

Published online by Cambridge University Press:  16 March 2020

Ritsuko Hattori ,
Shoko Miyagawa  and
Kanetoshi Hattori
Ritsuko Hattori*
Affiliation:
Nara Gakuen University - Tomigaoka Campus, Faculty of Health Science, Nara, Japan
Shoko Miyagawa
Affiliation:
Keio University, Nursing and Medical Care, Minato-ku, Japan
Kanetoshi Hattori
Affiliation:
Nara Gakuen University - Tomigaoka Campus, Faculty of Health Science, Nara, Japan
*
Correspondence and reprint requests to Ritsuko Hattori, Tomigaoka Campus, Nara Gakuen University, 3-15-1 Nakatomigaoka, Nara, Japan (e-mail: [email protected])
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Abstract

Objective:

In case of an outbreak of Nankai Trough Mega-earthquake, it is predicted that a tsunami would invade Nagoya City within 100 minutes, hitting about one third of the City of Nagoya. If the administrative plan of the city and midwives’ expertise are coordinated, pregnant women’s chances of survival will increase. The authors carried out this simulation study in an attempt to improve consistency of the two efforts.

Method:

We estimated the number of pregnant women using a machine learning model. The evacuation distance of pregnant women was estimated on the basis of the data of road center line.

Results:

Through this simulation study, it became clear that preparation for approximately 2600 pregnant women escaping from tsunami predicted area and for about 1200 pregnant women possibly left in the area is needed.

Conclusions:

Our study suggests that triage point planning is needed in areas where pregnant women are evacuated. The triage makes it possible to transport women to appropriate hospitals.

Keywords

tsunamisrescue planningpregnant womenmachine learning modelGeographic Information Systems (GIS)
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 15 , Issue 3 , June 2021 , pp. 325 - 332
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.

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