Using cluster analysis to explore mortality patterns associated with tropical cyclones
Bibliographic Data
| ID | 3898483 |
|---|---|
| Authors | Kai‐chun Chang (0000-0001-7200-3532, Clinical Psychologist, Division of Psychology and Counseling, Office of Student Affairs Kaohsiung Medical University Taiwan, corresponding author), Chiung‐ting Chang (Associate Professor, Institute of Public Affairs Management National Sun Yat‐sen University Taiwan), Chiung Ting Chang (0000-0002-7555-9365, National Sun Yat-sen University, corresponding author) |
| Year | 2019 |
| Volume | 43 |
| Issue | 4 |
| Pages | 891-905 |
| Publication date | 2019-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Disasters (JOURNAL) |
| Journal identifiers | ISSN: 0361-3666 • E-ISSN: 1467-7717 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/disa.12401 |
| PMID | 31418909 |
| OpenAlex | W2968075801 |
| Language | EN |
| Citations received | 1 |
| References cited | 18 |
Understanding the circumstances and conditions surrounding disaster-attributed deaths may contribute to designing and implementing emergency preparedness and response programmes. This paper introduces a three-step cluster analysis of multiple binary variables to investigate mortality patterns related to tropical cyclones. It is designed to overcome the difficulties of performing cluster analysis in a disaster database that is composed in part of nominal variables and is unavoidably incomplete owing to missing information. The first step in the process codes all variables as binary data in order to accommodate the nominal variables. The second step calculates Spearman's rank correlation coefficients for pairs of variables. And the third step subjects the correlation coefficients to cluster analysis. Data related to 1,575 deaths attributed to tropical cyclones (also known as typhoons) that struck Taiwan between 2000 and 2015 are used to illustrate the method. The results yield two distinct groups of variables that are worthy of further exploration
Cluster (spacecraft · Environmental health · Geography · Meteorology · Poison control · Preparedness · Rank correlation · Statistics · Tropical cyclone · Typhoon · Agricultural risk and resilience · Computer Science · Flood Risk Assessment and Management · Insurance, Mortality, Demography, Risk Management · Mathematics · Medicine
Cluster Analysis
Global Perspectives on Loss of Human Life Caused by Floods
Hierarchical Grouping to Optimize an Objective Function
Importance of Tabulating Multiple Causes of Death
A preliminary study on mortality attributed to tropical cyclones in Taiwan 2000–2014
Patterns of mortality and their changes in France (1968–99)
An Analysis of the Causes and Circumstances of Flood Disaster Deaths
Medical disorders of suicides in Australia
Geographical diversity of cause-of-death patterns and trends in Russia
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |