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Predicting the Number of Consultations by Emergency Medical Teams During Disasters Using a Constant Attenuation

Takahito Yoshida1, Tomohito Hayashi1, Odgerel Chimed-Ochir1

  • 1Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima City, Hiroshima 734-0037, Japan.

Archives of Academic Emergency Medicine
|May 12, 2025
PubMed
Abstract

Keywords:
DatasetDisastersEmergency Medical ServicesModelsPrediction AlgorithmsStatistical

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