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Reaction of Juntendo Shizuoka Hospital at Izu Peninsula to Typhoon Hagibis (2019) and an Analysis of Twitter Concerning Izunokuni City

Published online by Cambridge University Press:  22 September 2020

Kei Jitsuiki
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
Hiromichi Ohsaka
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
Jun Shitara
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
Motohiro Ishibashi
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
Megumi Suzuki
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
Yoko Nozawa
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
Youichi Yanagawa*
Affiliation:
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University
*
Correspondence to Dr. Youichi Yanagawa, 1129 Nagaoka, Izunokuni City, Shizuoka, Japan410-2295. Telephone: 055-948-3111. (e-mail: [email protected]).

Abstract

Objective:

This research was carried out to report the activity of the headquarters for disaster control at our hospital, and investigate the usefulness of obtaining information from Twitter when Typhoon Hagibis hit Izu Peninsula.

Methods:

First, we recounted the activity of the headquarters for disaster control. We then collected information from Twitter from October 12-14, 2019, using the keyword Izunokuni.’ We took into consideration the contents of Twitter user posts as well as the number of reactions (‘retweets’ and ‘likes’). Twitter information was classified into photo (+) and (-) groups, depending on whether or not the post had a photo or video included. The number of reactions between the two groups was then analyzed.

Results:

We counted 122 Twitter posts containing Hagibis-related information for Izunokuni City. The average number of both ‘retweets’ and ‘likes’ in the photo (+) group were significantly greater than those in the photo (-) group. All photos and videos depicted specific places in Izunokuni City and included actual footage of disaster scenes or local warning signs.

Conclusion:

Based on our experience at the headquarters for disaster control during Typhoon Hagibis, Twitter was considered to be a useful tool for obtaining local disaster information based on its timeliness, reality and specificity.

Type
Original Research
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.

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References

REFERENCES

Yanagawa, Y, Nagawasa, H, Takeuchi, I, et al. Field study in Kure City, Hiroshima prefecture, after torrential rains triggered massive flooding and landslides in western Japan In 2018. Sch J App Med Sci. 2018;(6):34373442.Google Scholar
Yanagawa, Y, Onizuka, M, Nozawa, Y, et al. Introduction of a unique medical co-operative system for decompression sickness in Izu Peninsula. Sch J App Med Sci. 2018;(6):14281433.Google Scholar
Yanagawa, Y, Onitsuka, M, Nozawa, Y, et al. The Significance of a Cooperative Medical System for Treating Decompression Illness on the Izu Peninsula in Japan. Wilderness Environ Med. 2019;(30)3:268273.CrossRefGoogle Scholar
Houston, JB, Hawthorne, J, Perreault, MF, et al. Social media and disasters: A functional framework for social media use in disaster planning, response, and research. Disasters. 2015;(39)1:122.CrossRefGoogle Scholar
Bosch, D. Use of social media and e-Government in disasters: 2016 Louisiana floods case study. J Emerg Manag. 2017;(15)6:391405.CrossRefGoogle Scholar
Siskey, A, Islam, T. Social media best practices in emergency management. J Emerg Manag. 2016;14(2):113125.CrossRefGoogle ScholarPubMed
Sugimoto, A, Nomura, S, Tsubokura, M, et al. The relationship between media consumption and health-related anxieties after the Fukushima Daiichi nuclear disaster. PLoS One. 2013;8:e65331.CrossRefGoogle ScholarPubMed
Jones, NM, Thompson, RR, Dunkel, SC, et al. Distress and rumor exposure on social media during a campus lockdown. Proc Natl Acad Sci USA. 2017;(114):1166311668.CrossRefGoogle ScholarPubMed
de Bruijn, JA, de Moel, H, Jongman, B, et al. A global database of historic and real-time flood events based on social media. Sci Data. 2019;6(1):311.CrossRefGoogle ScholarPubMed
Simon, T, Goldberg, A, Aharonson-Daniel, L, et al. Twitter in the cross fire: The use of social media in the Westgate Mall terror attack in Kenya. PLoS One. 2014;9:e104136.CrossRefGoogle ScholarPubMed
Greenwood, F, Nelson, EL, Greenough, PG. Flying into the hurricane: A case study of UAV use in damage assessment during the 2017 hurricanes in Texas and Florida. PLoS One. 2020;15:e0227808.CrossRefGoogle ScholarPubMed
Simon, T, Adini, B, El-Hadid, M, et al. The race to save lives: Demonstrating the use of social media for search and rescue operations. PLoS Curr. 2014;6: ecurrents.dis.806848c38f18c6b7b0037fae3cd4edc5.Google ScholarPubMed
Chan, JL, Purohit, H. Challenges to Transforming Unconventional Social Media Data into Actionable Knowledge for Public Health Systems During Disasters. Disaster Med Public Health Prep. 2019;18.Google ScholarPubMed
Buzzelli, MM, Morgan, P, Muschek, AG, et al. Information and communication technology: connecting the public and first responders during disasters. J Emerg Manag. 2014;12(6):441447.CrossRefGoogle ScholarPubMed
Black, DR, Dietz, JE, Stirratt, AA, et al. Do social media have a place in public health emergency response? J Emerg Manag. 2015;13(3):217226.10.5055/jem.2015.0235CrossRefGoogle ScholarPubMed