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Updated: Jan 13, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework

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Published on: July 24, 2016

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

Yoshitaka Nishikawa^1,2,3, Kayo Ueda⁴, Yuko Masuzawa⁵

¹Department of Health Informatics, https://ror.org/02kpeqv85Kyoto University Graduate School of Medicine, Kyoto, Japan.

Disaster Medicine and Public Health Preparedness

|January 12, 2026

Summary

This summary is machine-generated.

Disaster research case studies are increasing across public health and earth science fields. Standardization of reporting is needed to improve transparency in these growing disaster research publications.

Keywords:

CAST-D EQUATOR case study structural topic modeling

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Area of Science:

Disaster research
Bibliometrics
Scientific publishing trends

Background:

Case studies are common in disaster research, but trends and patterns remain unclear.
This study addresses the need for a comprehensive understanding of disaster-related case study focus and reporting.

Purpose of the Study:

To analyze trends and patterns in disaster-related case studies.
To identify thematic focuses and reporting practices in disaster research.

Main Methods:

Systematic literature search of publications from 1901-2023.
Structural topic modeling to identify 12 distinct research topics.
Hierarchical clustering to categorize topics into public health/social medicine and earth science/environmental technology.

Main Results:

18,782 publications analyzed, showing a significant increase over time.
Identified 12 topics grouped into two main categories: public health/social medicine and earth science/environmental technology.
Variability noted in the reporting practices across different topics.

Conclusions:

Disaster-related case studies show a growing trend across diverse scientific domains.
Inconsistent reporting practices necessitate standardization for enhanced transparency and comparability.