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Identifying vaccine-hesitant subgroups in the Western Pacific using latent class analysis
Yongjin Choi1, Kathy Leung2,3,4,5, Joseph T Wu2,3,4,5
1Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. Yongjin.Choi@lshtm.ac.uk.
NPJ Vaccines
|February 12, 2025
Summary
Vaccine hesitancy impacted COVID-19 vaccine rollout in the Western Pacific. Identifying specific hesitant groups, like less educated employees and young adults, allows for tailored public health strategies.
Area of Science:
- Public Health
- Epidemiology
- Social Sciences
Background:
- Vaccine hesitancy poses a significant barrier to widespread COVID-19 vaccination.
- Limited understanding of diverse hesitant populations hinders effective public health interventions in the Western Pacific.
Purpose of the Study:
- To profile vaccine-hesitant populations in the Western Pacific.
- To identify specific subgroups with lower COVID-19 vaccine and booster acceptance.
Main Methods:
- Fixed-effect latent class analysis of multi-country survey data (2021-2022).
- Involved 12 countries: Cambodia, Viet Nam, Lao PDR, Japan, Republic of Korea, Malaysia, Philippines, Mongolia, Fiji, Solomon Islands, Tonga, and Vanuatu.
- Identified 9 distinct latent classes of vaccine-hesitant individuals.
Main Results:
- Nine latent classes were identified, including 'Stay-at-home mothers', 'High-school-educated employees', and 'University-educated young adults'.
- COVID-19 vaccine acceptance and booster uptake were significantly lower in most identified classes compared to 'University-educated older adults'.
- Shared risk groups, such as 'High-school-educated employees' and 'High-school-educated young adults', were observed across multiple countries.
Conclusions:
- Subgroup analysis is crucial for understanding vaccine hesitancy complexities.
- Tailored, country-specific strategies are needed to address diverse vaccine-hesitant profiles effectively.
- Targeted interventions can improve COVID-19 vaccine and booster uptake in vulnerable populations.
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