Nature Communications (Jan 2024)

Dynamic predictors of COVID-19 vaccination uptake and their interconnections over two years in Hong Kong

  • Jiehu Yuan,
  • Yucan Xu,
  • Irene Oi Ling Wong,
  • Wendy Wing Tak Lam,
  • Michael Y. Ni,
  • Benjamin J. Cowling,
  • Qiuyan Liao

DOI
https://doi.org/10.1038/s41467-023-44650-9
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 14

Abstract

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Abstract The global rollout of COVID-19 vaccines faces a significant barrier in the form of vaccine hesitancy. This study adopts a dynamic and network perspective to explore the determinants of COVID-19 vaccine uptake in Hong Kong, focusing on multi-level determinants and their interconnections. Following the framework proposed by the Strategic Advisory Group of Experts (SAGE), the study used repeated cross-sectional surveys to map these determinants at multiple levels and investigates their interconnections simultaneously in a sample of 15,179 over two years. The results highlight the dynamic nature of COVID-19 vaccine hesitancy in an evolving pandemic. The findings suggest that vaccine confidence attitudes play crucial roles in vaccination uptake, with their importance shifting over time. The initial emphasis on vaccine safety gradually transitioned to heightened consideration of vaccine effectiveness at a later stage. The study also highlights the impact of chronic condition, age, COVID-19 case numbers, and non-pharmaceutical preventive behaviours on vaccine uptake. Higher educational attainment and being married were associated with primary and booster vaccine uptake and it may be possible to leverage these groups as early innovation adopters. Trust in government acts as a crucial bridging factor linking various variables in the networks with vaccine confidence attitudes, which subsequently closely linked to vaccine uptake. This study provides insights for designing future effective vaccination programmes for changing circumstances.