TY - JOUR
T1 - Estimation of Pregnant Women Possibly Left behind in Tsunami Predicted Areas of Nagoya City
T2 - A Simulation for Rescue Planning
AU - Hattori, Ritsuko
AU - Miyagawa, Shoko
AU - Hattori, Kanetoshi
N1 - Publisher Copyright:
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
KW - Geographic Information Systems (GIS)
KW - machine learning model
KW - pregnant women
KW - rescue planning
KW - tsunamis
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U2 - 10.1017/dmp.2019.164
DO - 10.1017/dmp.2019.164
M3 - Article
C2 - 32172724
AN - SCOPUS:85082525597
SN - 1935-7893
VL - 15
SP - 325
EP - 332
JO - Disaster medicine and public health preparedness
JF - Disaster medicine and public health preparedness
IS - 3
ER -