A health equity science approach to assessing drivers of COVID-19 vaccination coverage disparities over the course of the COVID-19 pandemic, United States, December 2020-December 2022.

Makhabele Nolana Woolfork, Kambria Haire, Oluyemi Farinu, Jasmine Ruffin, Jennifer M Nelson, Fatima Coronado, Benjamin J Silk, LaTreace Harris, Chastity Walker, Brian J Manns
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Abstract

Introduction: Health equity science examines underlying social determinants, or drivers, of health inequities by building an evidence base to guide action across programs, public health surveillance, policy, and communications efforts. A Social Vulnerability Index (SVI) was utilized during the COVID-19 response to identify areas where inequities exist and support communities with vaccination. We set out to assess COVID-19 vaccination coverage by two SVI themes, Racial and Ethnicity Minority Status and Housing Type and Transportation to examine disparities.

Methods: US county-level COVID-19 vaccine administration data among persons aged 5 years and older reported to the Centers for Disease Control and Prevention from December 14, 2020 to December 14, 2022, were analyzed. Counties were categorized 1) into tertiles (low, moderate, high) according to each SVI theme's level of vulnerability or 2) dichotomized by urban or rural classification. Primary series vaccination coverage per age group were assessed for SVI social factors by SVI theme tertiles or urbanicity.

Results: Older adults aged 65 years and older had the highest vaccination coverage across all vulnerability factors compared with children aged 5-17 years and adults aged 18-64 years. Overall, children and adults had higher vaccination coverage in counties of high vulnerability. Greater vaccination coverage differences were observed by urbanicity as rural counties had some of the lowest vaccination coverage for children and adults.

Conclusion: COVID-19 vaccination efforts narrowed gaps in coverage for adults aged 65 years and older but larger vaccination coverage differences remained among younger populations. Moreover, greater disparities in coverage existed in rural counties. Health equity science approaches to analyses should extend beyond identifying differences by basic demographics such as race and ethnicity and include factors that provide context (housing, transportation, age, and geography) to assist with prioritization of vaccination efforts where true disparities in vaccination coverage exist.

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采用健康公平科学方法评估 COVID-19 疫苗接种覆盖率在 COVID-19 大流行期间存在差异的驱动因素,美国,2020 年 12 月至 2022 年 12 月。
导言:健康公平科学通过建立证据基础来研究造成健康不公平的潜在社会决定因素或驱动因素,从而指导整个计划、公共卫生监测、政策和宣传工作的行动。在 COVID-19 应对行动中,我们使用了社会脆弱性指数 (SVI),以确定存在不公平现象的地区,并为社区提供疫苗接种支持。我们按照 SVI 的两个主题,即种族和族裔少数群体状况以及住房类型和交通状况来评估 COVID-19 疫苗接种覆盖率,以检查差异:分析了 2020 年 12 月 14 日至 2022 年 12 月 14 日期间向美国疾病控制和预防中心报告的美国县级 5 岁及以上人群 COVID-19 疫苗接种数据。1) 根据每个 SVI 主题的易感程度将各县分为三等分(低、中、高),或 2) 按城市或农村分类进行二分。根据 SVI 社会因素,按 SVI 主题三分法或城市化程度对每个年龄组的初级系列疫苗接种覆盖率进行评估:结果:与 5-17 岁的儿童和 18-64 岁的成年人相比,65 岁及以上的老年人在所有脆弱性因素中的疫苗接种覆盖率最高。总体而言,在高脆弱性县,儿童和成人的疫苗接种覆盖率较高。城市地区的疫苗接种率差异更大,因为农村地区的儿童和成人疫苗接种率最低:结论:COVID-19 疫苗接种工作缩小了 65 岁及以上成年人的接种率差距,但年轻人口的接种率差异仍然较大。此外,农村地区的接种率差距更大。健康公平科学的分析方法不应局限于按种族和民族等基本人口统计学特征确定差异,还应包括提供背景情况的因素(住房、交通、年龄和地理位置),以帮助在疫苗接种覆盖率确实存在差异的地方优先开展疫苗接种工作。
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