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Using cluster analysis to explore mortality patterns associated with tropical cyclones.

Kai-Chun Chang1, Chiung-Ting Chang2

  • 1Clinical Psychologist, Division of Psychology and Counseling, Office of Student Affairs, Kaohsiung Medical University, Taiwan.

Disasters
|August 17, 2019
PubMed
Summary
This summary is machine-generated.

This study developed a novel three-step cluster analysis to examine tropical cyclone mortality patterns. The method effectively groups factors contributing to deaths from these extreme weather events.

Keywords:
Taiwancause of death analysiscluster analysismortalitytropical cyclonetyphoon

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Area of Science:

  • Disaster medicine
  • Public health
  • Environmental science

Background:

  • Understanding disaster-attributed deaths is crucial for effective emergency preparedness and response programs.
  • Tropical cyclones (typhoons) cause significant mortality, necessitating detailed analysis of contributing factors.

Purpose of the Study:

  • To introduce and illustrate a novel three-step cluster analysis method for investigating mortality patterns related to tropical cyclones.
  • To address challenges in analyzing incomplete disaster databases with nominal variables.

Main Methods:

  • A three-step cluster analysis of multiple binary variables was employed.
  • Variables were coded as binary data to handle nominal variables.
  • Spearman's rank correlation coefficients were calculated and subjected to cluster analysis.

Main Results:

  • The analysis was applied to 1,575 deaths attributed to tropical cyclones in Taiwan (2000-2015).
  • Two distinct groups of variables related to mortality patterns were identified.
  • The method proved effective in handling incomplete disaster data.

Conclusions:

  • The developed cluster analysis method offers a robust approach for understanding disaster mortality.
  • The identified variable groups provide avenues for further research into tropical cyclone impacts.
  • This methodology can enhance the design of targeted emergency preparedness and response strategies.