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- Publisher Website: 10.1038/s41541-025-01067-3
- Scopus: eid_2-s2.0-85218501238
- WOS: WOS:001419175500001
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Article: Identifying vaccine-hesitant subgroups in the Western Pacific using latent class analysis
| Title | Identifying vaccine-hesitant subgroups in the Western Pacific using latent class analysis |
|---|---|
| Authors | |
| Issue Date | 12-Feb-2025 |
| Publisher | Springer Nature in partnership with the Sealy Center for Vaccine Development |
| Citation | NPJ vaccines, 2025, v. 10, n. 10, p. 1240-1250 How to Cite? |
| Abstract | 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. |
| Persistent Identifier | http://hdl.handle.net/10722/354835 |
| ISSN | 2023 Impact Factor: 6.9 2023 SCImago Journal Rankings: 2.127 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Choi, Yongjin | - |
| dc.contributor.author | Leung, Kathy | - |
| dc.contributor.author | Wu, Joseph T. | - |
| dc.contributor.author | Larson, Heidi J. | - |
| dc.contributor.author | Lin, Leesa | - |
| dc.date.accessioned | 2025-03-13T00:35:13Z | - |
| dc.date.available | 2025-03-13T00:35:13Z | - |
| dc.date.issued | 2025-02-12 | - |
| dc.identifier.citation | NPJ vaccines, 2025, v. 10, n. 10, p. 1240-1250 | - |
| dc.identifier.issn | 2059-0105 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/354835 | - |
| dc.description.abstract | <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: <em>Stay-at-home mothers</em>, <em>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</em>. The probabilities of COVID-19 vaccine acceptance and booster uptake were significantly lower in most of these latent classes, compared to <em>University-educated older adults</em>, 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 <em>High-school-educated employees</em> and <em>High-school-educated young adults</em>, 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.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | Springer Nature in partnership with the Sealy Center for Vaccine Development | - |
| dc.relation.ispartof | NPJ vaccines | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Identifying vaccine-hesitant subgroups in the Western Pacific using latent class analysis | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1038/s41541-025-01067-3 | - |
| dc.identifier.scopus | eid_2-s2.0-85218501238 | - |
| dc.identifier.volume | 10 | - |
| dc.identifier.issue | 10 | - |
| dc.identifier.spage | 1240 | - |
| dc.identifier.epage | 1250 | - |
| dc.identifier.eissn | 2059-0105 | - |
| dc.identifier.isi | WOS:001419175500001 | - |
