4.7 Article

The willingness of Chinese adults to receive the COVID-19 vaccine and its associated factors at the early stage of the vaccination programme: a network analysis

期刊

JOURNAL OF AFFECTIVE DISORDERS
卷 297, 期 -, 页码 301-308

出版社

ELSEVIER
DOI: 10.1016/j.jad.2021.10.088

关键词

COVID-19; Vaccination willingness; Associated factors; Early stage; Network analysis

资金

  1. Innovation and Entrepreneurship Project of Sichuan Provincial Science and Technology Department [2020JDRC0135]
  2. National Key Research and Development Plan [2017YFC0113907]
  3. Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences [2019PT310020]
  4. Establishment, Evaluation System Construction and Promotion of Group Model of Psychosomatic Nursing Happiness Perception Training in General Hospital [2018ZX04]

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This study uses network analysis to examine the factors influencing COVID-19 vaccine willingness. The findings highlight the importance of attitude towards vaccines and emotional states in shaping vaccination willingness. Attention should be paid to the impact of internet information dissemination and public emotional states in promoting vaccination programs.
Background: The coronavirus disease (COVID-19) pandemic has been a continuous global threat since the first identification of the disease in December 2019. COVID-19 vaccination is a crucial preventive approach that can halt this pandemic. However, many factors affect the willingness of the public to be vaccinated against COVID-19 at the early stage of the vaccination programme. We used network analysis to investigate the interrelation of vaccination willingness and its associated factors. Methods: A population-representative sample of 539 Chinese adults completed a battery of online self-assessments, including those on vaccination willingness, health status, attitude towards vaccines, COVID-19 related psychological elements and other variables. Network analysis was performed using the R agrctpli package. Results: In total, 445 (82.6%) participants scored high on their willingness to vaccinate. Attitude towards vaccines, the influence of people around an individual and health status were directly significantly related to vaccination willingness. The betweenness of age was the highest and, the emotional states had the strongest centrality. Limitations: Network analysis is not sufficient to determine the causal relationships of the links between nodes. In addition, there are other latent essential elements that were not evaluated. Finally, the sample size was relatively small. Conclusion: Network analysis showed that attitude toward vaccines and emotional states are the most critical factors affecting vaccination willingness, which indicates that we should pay attention to the impact of the dissemination of Internet information on vaccination willingness and public emotional states during a pandemic which is very important for promoting vaccination programs.

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