TY - JOUR
T1 - Implementation of evacuation measures during natural disasters under conditions of the novel coronavirus (COVID-19) pandemic based on a review of previous responses to complex disasters in Japan
AU - Sakamoto, Masashi
AU - Sasaki, Daisuke
AU - Ono, Yuichi
AU - Makino, Yuko
AU - Kodama, Eiichi N.
N1 - Funding Information:
This study was also supported by Pacific Consultants Co, Ltd.
Funding Information:
This work was supported in part by research grants from the Japan Society of the Promotion for Science (JSPS No. 16H05346 ) and by the Joint Usage/Research Center, “ Research Center for Zoonosis Control, Hokkaido University ”.
Funding Information:
This work was supported by the Japan Science and Technology Agency under the SOLVE Project for Sustainable Development Goals (grant number JPMJRX9I3 ).
Publisher Copyright:
© 2020
PY - 2020/12
Y1 - 2020/12
N2 - We aimed to investigate how evacuation measures could be effectively implemented in the event of multiple disasters caused by natural hazards under conditions of the novel coronavirus infection (COVID-19) pandemic, which is rapidly spreading worldwide. We conducted a review of literature focusing on complex disasters, entailing natural disasters in combination of outbreaks or endemics of infectious diseases. Using the Google Scholar search engine, we identified and reviewed 24 papers sourced from academia, governments, and concerned organizations, and associated data on such disasters, commencing with the Great Hanshin-Awaji Earthquake, which occurred in 1995. In light of our review, we developed a summary of correspondences and problems linked to compound disasters involving conjunctions of outbreaks/endemics and natural disasters that could offer insights for developing measures to deal with natural disasters that occur in the context of the COVID-19 pandemic. We subsequently attempted to differentiate the characteristics of evacuation measures relating to COVID-19 from those relating to other infectious diseases using three sets of extracted keywords: (1) surveillance and information sharing, (2) evacuation center environment and stockpiled supplies, and (3) community disaster risk reduction and community leadership. We identified issues relating to evacuation measures that would need to be explored further to improve disaster management and preparedness in the future.
AB - We aimed to investigate how evacuation measures could be effectively implemented in the event of multiple disasters caused by natural hazards under conditions of the novel coronavirus infection (COVID-19) pandemic, which is rapidly spreading worldwide. We conducted a review of literature focusing on complex disasters, entailing natural disasters in combination of outbreaks or endemics of infectious diseases. Using the Google Scholar search engine, we identified and reviewed 24 papers sourced from academia, governments, and concerned organizations, and associated data on such disasters, commencing with the Great Hanshin-Awaji Earthquake, which occurred in 1995. In light of our review, we developed a summary of correspondences and problems linked to compound disasters involving conjunctions of outbreaks/endemics and natural disasters that could offer insights for developing measures to deal with natural disasters that occur in the context of the COVID-19 pandemic. We subsequently attempted to differentiate the characteristics of evacuation measures relating to COVID-19 from those relating to other infectious diseases using three sets of extracted keywords: (1) surveillance and information sharing, (2) evacuation center environment and stockpiled supplies, and (3) community disaster risk reduction and community leadership. We identified issues relating to evacuation measures that would need to be explored further to improve disaster management and preparedness in the future.
KW - COVID-19
KW - Community leadership
KW - Complex disasters
KW - Evacuation
KW - Surveillance
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U2 - 10.1016/j.pdisas.2020.100127
DO - 10.1016/j.pdisas.2020.100127
M3 - Article
AN - SCOPUS:85094591434
SN - 2590-0617
VL - 8
JO - Progress in Disaster Science
JF - Progress in Disaster Science
M1 - 100127
ER -