Publications by authors named "Shiyun Chang"
Article Synopsis
- The text refers to a correction for a previously published article indicated by the DOI: 10.3389/fpubh.2024.1455718.
- This correction may address errors or updates that needed to be made to the original study or findings.
- It highlights the importance of maintaining accuracy and reliability in published research for readers and the academic community.*
Article Synopsis
- * Findings indicate that patients diagnosed with serious illnesses tend to adopt higher Subjective Discount Rates (SDR), focusing more on immediate concerns and potentially making shortsighted choices that can lead to regret later.
- * The research underscores the importance of considering the psychological and behavioral shifts that occur for both patients and their families in healthcare decisions, providing valuable insights for healthcare professionals and policymakers.
Background: The factors influencing vaccination decision-making for newly developed vaccines may be similar to and different from those for established vaccines. Understanding these underlying differences and similarities is crucial for designing targeted measures to promote new vaccines against potential novel viruses.
Objective: This study aims to compare public vaccination decisions for newly developed and established vaccines and to identify the differences and similarities in the influencing factors.
This study aims to investigate the extent to which the public engages in imitative behavior in their vaccination decisions for newly developed vaccines in the Chinese context. Given the crucial role of newly developed vaccines in preventing and controlling the COVID-19 pandemic, a better understanding of how people make decisions about vaccination with new vaccines is important for overcoming vaccine hesitation and promoting widespread adoption of the vaccines. Our results indicate that the public's decision-making about the newly developed vaccine is influenced by a range of heuristics, including a privileged information heuristic, competence heuristic, and consensus heuristic.
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