Analysis of chronological records by text mining: From medical activities in Fukushima Prefecture Typhoon No. 19 in 2019

DOI
  • Tashiro Masami
    Department of Radiological Sciences, School of Health Science Department of Radiology, Fukushima Medical University Fukushima Medical University Hospital
  • Shimada Jiro
    Futaba Support Center for Emergency and General Medicine, Fukushima Medical University Hospital
  • Inaba Yohei
    Department of Radiological Technology, Tohoku University Graduate School of Medicine Department of Disaster Radiology, International Research Institute of Disaster Science, Tohoku University

Bibliographic Information

Other Title
  • 経時活動記録のテキストマイニングによる解析—令和元年台風19号における福島県の医療活動より—

Abstract

<p>【Purpose】Focusing on the Disaster Medical Assistance Team (DMAT) activities during Typhoon No. 19 in 2019 in Fukushima Prefecture, we conducted an objective evaluation of this topic and its changes during the disaster by analyzing chronological records. 【Results】The analysis reveals a notable progression in both number of words and sentences, transitioning from the hyperacute phase to the acute period, followed by a marked decline during the subacute phase. Furthermore, the frequency of words in the chronological records changed with period. 【Discussion】During the hyperacute phase, there was an active engagement by both hospitals and DMAT in collecting information from medical institutions. In the acute phase, frequent mentions of evacuation centers and district names suggested a transition in DMAT activities toward local community support. As the situation moved into the subacute phase, an increase in the usage of words related to logistics operations indicated a shift in other work. 【Conclusion】 In conclusion, text mining on chronological records offers a promising and objective approach to evaluate topics and their changes during disasters.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390862776827286528
  • DOI
    10.51028/jjdisatmed.29.1_54
  • ISSN
    24344214
    21894035
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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