ArticleJournal of thoracic disease2025
Predicting COVID-19 vaccination timing by integrating the theory of planned behavior and the diffusion of innovations: a cross-sectional survey in Macao, China.
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Temporal Dynamics of Vaccine Uptake: Perceptual and Social Drivers of Adoption Speed Across Innovation Diffusion Curve.Microorganisms · 2026Article
- Effectiveness of heterologous mRNA vaccine boosters during an Omicron wave of COVID-19: a cross-sectional study in Macao (China).Journal of thoracic disease · 2026Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study integrates the theory of planned behavior (TPB) and the diffusion of innovations (DOI) to investigate determinants of coronavirus disease 2019 (COVID-19) vaccination timing among tourism industry workers in Macao, China, a high-risk group during the pandemic. Methods: A cross-sectional survey of 608 respondents was analyzed using hierarchical generalized linear model (GLM) to identify predictors of vaccination timing. The analysis was further complemented by K-means clustering to segment population groups based on attitudes, social norms, and behavioral control. Results: Cluster analysis revealed diverse attitudes toward COVID-19 vaccination, suggesting the need for targeted public health interventions. The study identified several significant behavioral predictors of COVID-19 vaccination timing, including perceived behavioral control (PBC) (0.519, P<0.001), COVID-19 vaccine attitude (VA) (0.559, P<0.001), and past influenza vaccination history (1.268, P<0.001). The factor of conformity trait is not significant. Conclusions: Integrating DOI and TPB underscores the interplay of cognitive, social, and innovation-related factors in vaccination timing. Within the DOI framework, individuals classified as innovators and early adopters typically exhibit favorable attitudes and strong subjective norms (SNs) toward vaccination. This underscores the utility of combining DOI and TPB to design targeted vaccination campaigns to capture cognitive, social, and innovation-related drivers of behavior.
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