Department of Geography and Environment, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS One. 2024 Aug 9;19(8):e0304812. doi: 10.1371/journal.pone.0304812. eCollection 2024.
Geographic variation in COVID-19 vaccination can create areas at higher risk of infection, complications, and death, exacerbating health inequalities. This ecological study examined geographic patterns of COVID-19 vaccine completion, using age and sociodemographic characteristics as possible explanatory mechanisms.
Using 2020-2022 data from the North Carolina COVID-19 Vaccination Management System and U.S. Census Bureau American Community Survey, at the Zip code-level, we evaluated completion of the primary COVID-19 vaccine series across age groups. We examined geographic clustering of age-specific completion by Zip code and evaluated similarity of the age-specific geographic patterns. Using unadjusted and adjusted spatial autoregressive models, we examined associations between sociodemographic characteristics and age-specific vaccine completion. COVID-19 vaccine completion was moderately geographically clustered in younger groups, with lower clustering in older groups. Urban areas had clusters of higher vaccine completion. Younger and middle-aged groups were the most similar in completion geographically, while the oldest group was most dissimilar to other age groups. Higher income was associated with higher completion in adjusted models across all age groups, while a higher percent of Black residents was associated with higher completion for some groups.
COVID-19 vaccination completion is more variable among younger age groups in North Carolina, and it is higher in urban areas with higher income. Higher completion in areas with more Black residents may reflect the success of racial equity efforts in the state. The findings show a need to reach younger populations and lower income areas that were not prioritized during early vaccination distribution.
COVID-19 疫苗接种的地域差异可能会导致某些地区面临更高的感染、并发症和死亡风险,从而加剧健康不平等现象。本生态研究利用年龄和社会人口统计学特征作为可能的解释机制,考察了 COVID-19 疫苗接种完成情况的地域模式。
本研究使用 2020-2022 年北卡罗来纳州 COVID-19 疫苗管理系统和美国人口普查局美国社区调查的数据,在邮政编码层面评估了不同年龄组内 COVID-19 疫苗基础系列接种的完成情况。我们通过邮政编码评估了特定年龄组疫苗接种完成情况的地域聚类,并评估了年龄特定地理模式的相似性。我们使用未经调整和调整后的空间自回归模型,检验了社会人口统计学特征与特定年龄组疫苗接种完成情况之间的关联。结果显示,在较年轻的年龄组中,COVID-19 疫苗接种的地域聚类程度较高,而在较年长的年龄组中聚类程度较低。城市地区的疫苗接种完成率较高。年轻和中年组在地域上的完成情况最为相似,而最年长的组与其他年龄组的完成情况最不相似。在所有年龄组中,较高的收入与调整后的模型中较高的完成率相关,而较高的黑人居民比例与某些组较高的完成率相关。
北卡罗来纳州的 COVID-19 疫苗接种完成情况在年轻人群中差异较大,城市地区、收入较高的地区以及黑人居民比例较高的地区接种完成情况较好。这些发现表明,需要关注在早期疫苗接种分配中未被优先考虑的年轻人群和低收入地区。