Case Study Related to Disasters: A Large-Scale Analysis Using Structural Topic Modeling

This study highlighted a growing trend in the publication of disaster-related case studies across diverse thematic areas. As variabilities in reporting exist, there is a need for standardization in reporting to enhance transparency in disaster-related case study.

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Publication Details

Journal
Disaster Medicine and Public Health Preparedness
Published
2026-01-01
DOI
https://doi.org/10.1017/dmp.2025.10279
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Case Study Related to Disasters: A Large-Scale Analysis Using Structural Topic Modeling

Yuko Masuzawa, Y. Nishikawa, Kayo Ueda
Disaster Medicine and Public Health Preparedness
Computational and Text Analysis Methods
article

Case Study Related to Disasters: A Large-Scale Analysis Using Structural Topic Modeling

Yuko Masuzawa, Y. Nishikawa, Kayo Ueda
article en

Abstract

This study highlighted a growing trend in the publication of disaster-related case studies across diverse thematic areas. As variabilities in reporting exist, there is a need for standardization in reporting to enhance transparency in disaster-related case study.

Disaster Medicine and Public Health PreparednessVol. 20
University of Nagasaki (JP), Harvard University (US), Nagasaki Institute of Applied Science (JP), Kyoto University (JP), Niigata College of Nursing (JP), Nagasaki University (JP)
Climate action
Openalex Percentile: Top 93%
Computational and Text Analysis Methods
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