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Evaluating COVID-19 Information and Risk-Averse Behaviours: Insights from Conjoint and Clustering Analyses in the UK, Japan, and Taiwan Cover

Evaluating COVID-19 Information and Risk-Averse Behaviours: Insights from Conjoint and Clustering Analyses in the UK, Japan, and Taiwan

Data Science Journal
Volume 24 (2025): Issue 0
By: Naoko Kato-Nitta,  Yusuke Inagaki and  Tadahiko Maeda  
Open Access
|Aug 2025

Authors

Naoko Kato-Nitta

naokokn@gmail.com

J.F.Oberlin University; Joint Support-Center for Data Science Research, Research Organization of Information and Systems; The Institute of Statistical Mathematics

Yusuke Inagaki

yinagaki@ism.ac.jp

Seijo University; Joint Support-Center for Data Science Research, Research Organization of Information and Systems; The Institute of Statistical Mathematics

Tadahiko Maeda

maeda@ism.ac.jp

Joint Support-Center for Data Science Research, Research Organization of Information and Systems; The Institute of Statistical Mathematics
DOI: https://doi.org/10.5334/dsj-2025-021 | Journal eISSN: 1683-1470
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Language: English
Submitted on: Jul 30, 2024
Accepted on: Jun 5, 2025
Published on: Aug 13, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
public health,
risk-averse behaviour,
COVID-19,
vaccine hesitancy,
science literacy,
conjoint experiment

© 2025 Naoko Kato-Nitta, Yusuke Inagaki, Tadahiko Maeda, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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