We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
To investigate the differences between doctor helicopters (DHs) and disaster medical assistance teams (DMATs) based on past examples and the current situation in Shizuoka Prefecture.
Methods
First, we examined cases in Shizuoka Prefecture from 2014 to 2023, where incidents involving five or more injured individuals were simultaneously managed using multiple DHs. Next, we investigated the presence of DMATs in Shizuoka Prefecture and assessed their role in disaster responses within the prefecture.
Results
Since 2014, there have been eight incidents in Shizuoka Prefecture where multiple DHs were deployed to respond to mass casualties. In contrast, Shizuoka DMATs were placed on standby three times during the same period, with one active deployment during a disaster caused by a landslide in Atami. The other two cases were managed solely by DHs and ambulance teams.
Conclusion
Localized disasters in Shizuoka Prefecture have seen the effective use of multiple DHs for timely patient transportation, particularly when suitable weather conditions permit. In contrast, DMATs are primarily deployed for extended medical activities lasting more than one day. This differentiation highlights the importance of choosing the appropriate medical response approach based on the nature and scope of the disaster.
On July 3, 2021, a landslide occurred in part of Atami City, Shizuoka, Japan.
Methods:
The government of Shizuoka Prefecture requested the dispatch of Shizuoka Disaster Medical Assistance Teams (S-DMATs).
Results:
On day 2, the evacuees were evacuated into 2 hotels (A and B). Hotel A accommodated over 570 independent and dependent evacuees. Hotel B accommodated 44 dependent aged individuals, who lived in the same long-term health-care facility, together with their 11 caregivers. The evacuees in hotel B returned to the previous facility on day 10 without any specific medical problems. The evacuees in hotel A were managed in the guest rooms as family units. Individuals requiring care in guest rooms in hotel A became isolated because they could not call for help or walk. Furthermore, hotel guest rooms were not barrier-free. The S-DMATs supported the evacuees.
Conclusions:
Independent evacuees received the maximum benefits from the use of a hotel as a shelter. In contrast, it was difficult for dependent evacuees to benefit from the hotel as it is as a shelter when living alone in the hotel. Dependent evacuees required appropriate support to eat, walk, use the toilet, and keep themselves clean when using a hotel as a shelter.
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.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.