A Cross-national Study of Multilevel Determinants on Public Fully Vaccination Against COVID-19

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COVID-19, Vaccine Uptake, Cross-national Design, Multilevel Estimation

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The pandemic caused by SARS-CoV-2 (COVID-19) has impacted the world for close to three years and led to substantial costs to public well-being. To mitigate the pandemic's damage, the most effective approach lies in the vaccine. This study aims to investigate multilevel predictors of the public decision to become fully vaccinated against COVID-19. Data from a cross-national survey on representative samples are merged with country-level indicators. Multilevel logistic regression models are estimated on populations from 15 countries. Findings show that people who agree the government handles the pandemic well, believe the health officials would provide an effective vaccine, perceive the virus's danger, and are older are more likely to get fully vaccinated than their counterparts. Meanwhile, the national case rate and vaccination rate also affect one's decision to become fully vaccinated. Furthermore, there are significant cross-level interactions as people are more inclined to become fully vaccinated if they agree with the government's performance, perceive the virus's danger, and also reside in countries with higher case and vaccination rates. This study shows cross-national evidence regarding multilevel determinants of public vaccine uptake. Knowing the profiles among populations who have become fully vaccinated or not helps public health experts leverage factors and maximize vaccination.

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Health & Place, v. 79, art. 102963