Cuadros Diego F, Moreno Claudia M, Musuka Godfrey, Miller F DeWolfe, Coule Phillip, MacKinnon Neil J
Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, United States.
Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA, United States.
Front Med (Lausanne). 2022 Jun 14;9:898101. doi: 10.3389/fmed.2022.898101. eCollection 2022.
The US recently suffered the fourth and most severe wave of the COVID-19 pandemic. This wave was driven by the SARS-CoV-2 Omicron, a highly transmissible variant that infected even vaccinated people. Vaccination coverage disparities have played an important role in shaping the epidemic dynamics. Analyzing the epidemiological impact of this uneven vaccination coverage is essential to understand local differences in the spread and outcomes of the Omicron wave. Therefore, the objective of this study was to quantify the impact of vaccination coverage disparity in the US in the dynamics of the COVID-19 pandemic during the third and fourth waves of the pandemic driven by the Delta and Omicron variants.
This cross-sectional study used COVID-19 cases, deaths, and vaccination coverage from 2,417 counties. The main outcomes of the study were new COVID-19 cases (incidence rate per 100,000 people) and new COVID-19 related deaths (mortality rate per 100,000 people) at county level and the main exposure variable was COVID-19 vaccination rate at county level. Geospatial and data visualization analyses were used to estimate the association between vaccination rate and COVID-19 incidence and mortality rates for the Delta and Omicron waves.
During the Omicron wave, areas with high vaccination rates (>60%) experienced 1.4 (95% confidence interval [CI] 1.3-1.7) times higher COVID-19 incidence rate compared to areas with low vaccination rates (<40%). However, mortality rate was 1.6 (95% CI 1.5-1.7) higher in these low-vaccinated areas compared to areas with vaccination rates higher than 60%. As a result, areas with low vaccination rate had a 2.2 (95% CI 2.1-2.2) times higher case-fatality ratio. Geospatial clustering analysis showed a more defined spatial structure during the Delta wave with clusters with low vaccination rates and high incidence and mortality located in southern states.
Despite the emergence of new virus variants with differential transmission potential, the protective effect of vaccines keeps generating marked differences in the distribution of critical health outcomes, with low vaccinated areas having the largest COVID-19 related mortality during the Delta and Omicron waves in the US. Vulnerable communities residing in low vaccinated areas, which are mostly rural, are suffering the highest burden of the COVID-19 pandemic during the vaccination era.
美国最近遭受了第四波也是最严重的新冠疫情浪潮。这波疫情由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)奥密克戎变种引发,该变种传播性极强,即使是接种过疫苗的人也会感染。疫苗接种覆盖率的差异在塑造疫情动态方面发挥了重要作用。分析这种不均衡的疫苗接种覆盖率对流行病学的影响,对于理解奥密克戎浪潮传播和结果的地区差异至关重要。因此,本研究的目的是量化在美国由德尔塔和奥密克戎变种驱动的第三波和第四波新冠疫情期间,疫苗接种覆盖率差异对疫情动态的影响。
这项横断面研究使用了来自2417个县的新冠病例、死亡人数和疫苗接种覆盖率数据。研究的主要结果是县级的新增新冠病例(每10万人发病率)和新增新冠相关死亡(每10万人死亡率),主要暴露变量是县级的新冠疫苗接种率。采用地理空间和数据可视化分析来估计德尔塔和奥密克戎浪潮期间疫苗接种率与新冠发病率和死亡率之间的关联。
在奥密克戎浪潮期间,疫苗接种率高(>60%)的地区新冠发病率是疫苗接种率低(<40%)地区的1.4倍(95%置信区间[CI] 1.3 - 1.7)。然而,与疫苗接种率高于60%的地区相比,这些低接种率地区的死亡率高出1.6倍(95% CI 1.5 - 1.7)。因此,低接种率地区的病死率高出2.2倍(95% CI 2.1 - 2.2)。地理空间聚类分析显示,在德尔塔浪潮期间,空间结构更为明确,低接种率且高发病率和高死亡率的聚类位于南部各州。
尽管出现了传播潜力不同的新病毒变种,但疫苗的保护作用在关键健康结果的分布上仍产生了显著差异,在美国德尔塔和奥密克戎浪潮期间,低接种率地区的新冠相关死亡率最高。居住在大多为农村的低接种率地区的弱势群体,在疫苗接种时代承受着新冠疫情的最高负担。