Predicting the Number of Consultations by Emergency Medical Teams During Disasters Using a Constant Attenuation Model: Analyzing the Data of 6 Disasters in Japan and Mozambique Between 2016-2020.

The <i>K</i> value and constant attenuation model, although originally developed to predict the number of patients with COVID-19, provided reliable predictions of the number of EMT consultations required during six different disasters. This simple model may be useful for the coordination of future responses of EMTs during disasters.

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Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.22037/aaemj.v13i1.2457
Primary Topic
Disaster Response and Management
Type
article
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article

Predicting the Number of Consultations by Emergency Medical Teams During Disasters Using a Constant Attenuation Model: Analyzing the Data of 6 Disasters in Japan and Mozambique Between 2016-2020.

Yuichi Koido, Kouki Akahoshi, Seiji Mimura, Kayako Chishima et al.
PubMed
Disaster Response and Management
article

Predicting the Number of Consultations by Emergency Medical Teams During Disasters Using a Constant Attenuation Model: Analyzing the Data of 6 Disasters in Japan and Mozambique Between 2016-2020.

Yuichi Koido, Kouki Akahoshi, Seiji Mimura, Kayako Chishima, Yoichi Ikeda, Tatsuhiko Kubo, Yoshiki Toyokuni, Ryoma Kayano, Tomohito Hayashi, Takahito Yoshida, Yui Yumiya, Odgerel Chimed‐Ochir, Akihiro Taji, Akinori Wakai, Matchecane Cossa, Flavio Salio, Ami Fukunaga, T. Nakano, Isse Ussene, Kenji Sasaki, Hisayoshi Kondo
article en

Abstract

The <i>K</i> value and constant attenuation model, although originally developed to predict the number of patients with COVID-19, provided reliable predictions of the number of EMT consultations required during six different disasters. This simple model may be useful for the coordination of future responses of EMTs during disasters.

PubMedVol. 13(1)
Hiroshima University (JP), World Health Organization - Pakistan (PK), Osaka National Hospital (JP), World Health Organization (CH), Museum of Japanese Art Yamato Bunkakan (JP), National Directorate of Geology (MZ), National Hospital Organization (JP), Ministry of Health (MZ), The University of Osaka (JP)
Openalex Percentile: Top 83%
Disaster Response and Management
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