Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is of great significance for effectively addressing potential public health crises. Based on survey data from China, we employed a Gradient Boosting Decision Tree (GBDT) model and conducted SHAP interpret...

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Bibliographic Details
Main Authors: Lei Li, Hui Jing, Yuqi Zhao, Shenghua Wu, Boyu Zhu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Human Vaccines & Immunotherapeutics
Subjects:
COVID-19 vaccine
vaccine hesitancy
dynamic transformation
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/21645515.2025.2536898
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https://www.tandfonline.com/doi/10.1080/21645515.2025.2536898

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