| Autor: |
Yumiya, Yui, Chimed-Ochir, Odgerel, Kayano, Ryoma, Hitomi, Yoshiaki, Akahoshi, Kouki, Kondo, Hisayoshi, Wakai, Akinori, Mimura, Seiji, Chishima, Kayako, Toyokuni, Yoshiki, Koido, Yuichi, Kubo, Tatsuhiko |
| Předmět: |
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| Zdroj: |
Prehospital & Disaster Medicine; Jun2023, Vol. 38 Issue 3, p332-337, 6p |
| Abstrakt: |
Introduction: In the last ten years, Japan has experienced several large-scale earthquakes with devastating social and health impacts. Earthquakes directly and indirectly cause a variety of health problems. Further investigation is required to increase preparedness and preventive efforts. In response to the Hokkaido Eastern Iburi Earthquake on September 6, 2018, 32 Emergency Medical Teams (EMTs) employed the Japanese version of Surveillance in Post-Extreme Emergencies and Disasters (J-SPEED) as a national standard daily reporting template, gathering data on the number and type of health problems treated. Study Objective: The purpose of the study is to conduct a descriptive epidemiology study using the J-SPEED data to better understand the health problems during the earthquake disaster. Methods: Reported items in J-SPEED (Ver 1.0) form were analyzed by age, gender, and time to better understand the health issues that have arisen from the earthquake. Results: Most consultations (721; 97.6%) occurred between Day 1 and Day 13 of the 32-day EMT response. During the response period, disaster stress-related symptoms were the most common health event (15.2%), followed by wounds (14.5%) and skin diseases (7.0%). Conclusion: The most often reported health event during the response period was stress-associated illnesses related to disasters, followed by wounds and skin conditions. The health consequences of natural disasters depend on diverse local environment and population. As a result, this initial study was hard to generalize; however, it is expected that data accumulated using the J-SPEED system in the future will strengthen and extend the conclusions. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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