Gual-Gonzalez Lídia, McCarter Maggie S J, Dye-Braumuller Kyndall, Self Stella, Ross Connor H, Rodriguez-Ramos Chloe, Daguise Virginie G, Nolan Melissa S
Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC 29208, USA.
South Carolina Department of Health and Environmental Control, Columbia, SC 29201, USA.
Vaccines (Basel). 2022 Mar 9;10(3):412. doi: 10.3390/vaccines10030412.
By the end of 2021, the COVID-19 pandemic resulted in over 54 million cases and more than 800,000 deaths in the United States, and over 350 million cases and more than 5 million deaths worldwide. The uniqueness and gravity of this pandemic have been reflected in the public health guidelines poorly received by a growing subset of the United States population. These poorly received guidelines, including vaccine receipt, are a highly complex psychosocial issue, and have impacted the successful prevention of disease spread. Given the intricate nature of this important barrier, any single statistical analysis methodologically fails to address all convolutions. Therefore, this study utilized different analytical approaches to understand vaccine motivations and population-level trends. With 12,975 surveys from a state-wide year-long surveillance initiative, we performed three robust statistical analyses to evaluate COVID-19 vaccine hesitancy: principal component analysis, survival analysis and spatial time series analysis. The analytic goal was to utilize complementary mathematical approaches to identify overlapping themes of vaccine hesitancy and vaccine trust in a highly conservative US state. The results indicate that vaccine receipt is influenced by the source of information and the population's trust in the science and approval process behind the vaccines. This multifaceted statistical approach allowed for methodologically rigorous results that public health professionals and policy makers can directly use to improve vaccine interventions.
到2021年底,新冠疫情在美国导致超过5400万例感染和80多万人死亡,在全球导致超过3.5亿例感染和500多万人死亡。这场疫情的独特性和严重性体现在美国越来越多的人群对公共卫生指南反应不佳。这些未被广泛接受的指南,包括疫苗接种,是一个高度复杂的社会心理问题,并影响了疾病传播的成功预防。鉴于这一重要障碍的复杂性,任何单一的统计分析方法在方法论上都无法解决所有问题。因此,本研究采用了不同的分析方法来了解疫苗接种动机和人群层面的趋势。通过一项为期一年的全州监测计划获得的12975份调查问卷,我们进行了三项有力的统计分析来评估新冠疫苗犹豫情况:主成分分析、生存分析和时空序列分析。分析目标是利用互补的数学方法,在一个高度保守的美国州识别疫苗犹豫和疫苗信任的重叠主题。结果表明,疫苗接种受到信息来源以及民众对疫苗背后的科学和审批过程的信任的影响。这种多方面的统计方法得出了方法上严谨的结果,公共卫生专业人员和政策制定者可直接利用这些结果来改进疫苗干预措施。