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<p>Vaccine hesitancy seriously compromised the COVID-19 vaccine roll-out across the Western Pacific with limited evidence-based recommendations for diverse populations across the region. This study investigates the profile of the vaccine-hesitant populations by using fixed-effect latent class analysis and multi-country survey data collected in 12 countries in 2021 and 2022: Cambodia, Viet Nam, Lao PDR, Japan, Republic of Korea, Malaysia, Philippines, Mongolia, Fiji, Solomon Islands, Tonga and Vanuatu. The analysis identified 9 latent classes: <i>Stay-at-home mothers</i>, <i>High-school-educated employees, High-school-educated older adults, High-school-educated young adults, University-educated employees, University-educated older adults, University-educated young adults, Unemployed, Non-compliant employees</i>. The probabilities of COVID-19 vaccine acceptance and booster uptake were significantly lower in most of these latent classes, compared to <i>University-educated older adults</i>, as the reference group. While each country had unique compositions of latent classes among vaccine-hesitant people, there were also some shared risk groups, such as <i>High-school-educated employees</i> and <i>High-school-educated young adults</i>, across the countries. The study findings demonstrate the benefits of subgroup analysis in unpacking the complex interplay of characteristics within vaccine-hesitant populations, highlighting the need for customised strategies tailored to each country’s unique profile of vaccine hesitancy.</p>

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Identifying vaccine-hesitant subgroups in the Western Pacific using latent class analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月12日

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  • Yongjin Choi,
  • Kathy Leung,
  • Joseph T. Wu,
  • Heidi J. Larson,
  • Leesa Lin

摘要

Vaccine hesitancy seriously compromised the COVID-19 vaccine roll-out across the Western Pacific with limited evidence-based recommendations for diverse populations across the region. This study investigates the profile of the vaccine-hesitant populations by using fixed-effect latent class analysis and multi-country survey data collected in 12 countries in 2021 and 2022: Cambodia, Viet Nam, Lao PDR, Japan, Republic of Korea, Malaysia, Philippines, Mongolia, Fiji, Solomon Islands, Tonga and Vanuatu. The analysis identified 9 latent classes: Stay-at-home mothers, High-school-educated employees, High-school-educated older adults, High-school-educated young adults, University-educated employees, University-educated older adults, University-educated young adults, Unemployed, Non-compliant employees. The probabilities of COVID-19 vaccine acceptance and booster uptake were significantly lower in most of these latent classes, compared to University-educated older adults, as the reference group. While each country had unique compositions of latent classes among vaccine-hesitant people, there were also some shared risk groups, such as High-school-educated employees and High-school-educated young adults, across the countries. The study findings demonstrate the benefits of subgroup analysis in unpacking the complex interplay of characteristics within vaccine-hesitant populations, highlighting the need for customised strategies tailored to each country’s unique profile of vaccine hesitancy.