Cho Jeong-Yeon, Kwon Sun-Hong, Lee Jong-Seop, Lee Jinhyung, Lee Jong-Hwan, Chae Yuna, Lee Eui-Kyung
School of Pharmacy, Sungkyunkwan University, 2066, Seobu-Ro, Jangan-Gu, Suwon-Si, Gyeonggi-Do, 16419, South Korea.
Department of Pharmacotherapy, The University of Utah College of Pharmacy, Salt Lake City, UT, USA.
BMC Public Health. 2024 Dec 19;24(1):3538. doi: 10.1186/s12889-024-20973-0.
Vaccines against coronavirus disease (COVID-19) are being developed and supplied at an unprecedented rate. However, disparities in income levels among countries has influenced the supply and vaccination rate. This imbalance poses a potential risk factor, especially if vaccine-resistant variants emerge and the pandemic persists. To effectively combat a global pandemic such as COVID-19, understanding the key factors that influence vaccination rates worldwide is essential. This study utilizes cross-country panel regression to examine the factors associated with vaccination rates in countries at different income levels.
We analyzed weekly vaccination rates in relation to several COVID-related variables, including government suppression policies, vaccination coverage, and search trends from Google Trends. The data consistently spanned from March 2021 to February 2022. Random-effects panel regression models were employed to identify factors linked to weekly vaccination rates by income level. Independent variables included disease status, country characteristics, policy variables, and search trends.
Significant disparities in weekly vaccination rates were observed between income-level groups. High-income countries experienced considerable fluctuations during outbreaks, whereas, low- and lower-middle-income countries demonstrated steady increase over time. The random-effects model, stratified by income level, showed that the vaccination coverage and search trend for "COVID-19 vaccine" were commonly associated with higher vaccination rates across all income groups. However, other factors varied based on income level, and gross domestic product per capita was not significant in the regression based on income level.
Vaccination rate and their associated factors differed across income levels. There is no universal strategy for boosting vaccination rates during a pandemic. Consequently, country specific approaches, including promotional programs to raise awareness and interest in vaccination, are essential for preparing for future pandemics.
针对冠状病毒病(COVID-19)的疫苗正在以前所未有的速度研发和供应。然而,各国收入水平的差异影响了疫苗的供应和接种率。这种不平衡构成了一个潜在的风险因素,尤其是如果出现疫苗抗性变体且疫情持续存在的情况下。为了有效应对像COVID-19这样的全球大流行,了解影响全球疫苗接种率的关键因素至关重要。本研究利用跨国面板回归来检验不同收入水平国家与疫苗接种率相关的因素。
我们分析了每周的疫苗接种率与几个与COVID相关的变量之间的关系,包括政府抑制政策、疫苗接种覆盖率以及来自谷歌趋势的搜索趋势。数据持续涵盖2021年3月至2022年2月。采用随机效应面板回归模型来确定按收入水平与每周疫苗接种率相关的因素。自变量包括疾病状况、国家特征、政策变量和搜索趋势。
在收入水平组之间观察到每周疫苗接种率存在显著差异。高收入国家在疫情爆发期间经历了相当大的波动,而低收入和中低收入国家则随着时间的推移呈稳步上升趋势。按收入水平分层的随机效应模型表明,“COVID-19疫苗”的疫苗接种覆盖率和搜索趋势在所有收入组中通常与较高的疫苗接种率相关。然而,其他因素因收入水平而异,人均国内生产总值在基于收入水平的回归中并不显著。
疫苗接种率及其相关因素在不同收入水平之间存在差异。在大流行期间提高疫苗接种率没有通用策略。因此,针对具体国家的方法,包括提高对疫苗接种的认识和兴趣的推广计划,对于为未来大流行做准备至关重要。