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Exploring the Influencing Factors of COVID-19 Vaccination Willingness among Young Adults in China.

Yue SuSijia LiFeng HuangJia XueTingshao Zhu
Published in: International journal of environmental research and public health (2023)
Vaccine uptake is considered as one of the most effective methods of defending against COVID-19 (coronavirus disease 2019). However, many young adults are hesitant regarding COVID-19 vaccines, and they actually play an important role in virus transmission. Based on a multi-theory model, this study aims to explore the influencing factors related to COVID-19 vaccine willingness among young adults in China. Using semi-structured interviews, this study explored the factors that would motivate young adults with vaccine hesitancy to get the COVID-19 vaccine. Thematic analysis was used to analyze the interview data with topic modeling as a complementarity method. After comparing the differences and similarities of results generated by thematic analysis and topic modeling, this study ultimately identified ten key factors related to COVID-19 vaccination intention, including the effectiveness and safety of vaccines, application range of vaccine, etc. This study combined thematic analysis with machine learning and provided a comprehensive and nuanced picture of facilitating factors for COVID-19 vaccine uptake among Chinese young adults. Results may be taken as potential themes for authorities and public health workers in vaccination campaigns.
Keyphrases
  • coronavirus disease
  • young adults
  • sars cov
  • public health
  • machine learning
  • respiratory syndrome coronavirus
  • risk assessment
  • artificial intelligence
  • deep learning