Lee Yu-Che, Chang Ko-Yun, Mirsaeidi Mehdi
Department of Medicine, University at Buffalo-Catholic Health System, Buffalo, NY, United States.
Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Front Med (Lausanne). 2022 Jun 29;9:853059. doi: 10.3389/fmed.2022.853059. eCollection 2022.
The disproportionate burden of COVID-19 pandemic has become a major concern in the United States (US), but the association between COVID-19 case-fatality rate (CFR) and factors influencing health outcomes at a state level has not been evaluated.
We calculated COVID-19 CFR for three different waves using COVID Data Tracker from the Centers for Disease Control and Prevention. America's Health Rankings assesses the factors that influence health outcomes to determine state's health rankings. The association between COVID-19 CFR and state health disparities was analyzed by linear regression.
States with better rankings of Physical Environment were associated with lower CFR for the 1st wave (β = 0.06%, R = 0.170, = 0.003). There was a paradoxical association between the 2nd wave CFR and Clinical Care (β = -0.04%, R = 0.112, = 0.017) and Overall health rankings (β = -0.03%, R = 0.096, = 0.029). For the 3rd wave, states with better rankings of Overall health factors (β = 0.01%, R = 0.179, = 0.002), Social & Economic Factors (β = 0.01%, R = 0.176, = 0.002), Behaviors (β = 0.01%, R = 0.204, < 0.001), and Health Outcomes (β = 0.01%, R = 0.163, = 0.004) were associated with lower CFR. COVID-19 vaccination coverage was also associated with state health rankings (at least one dose: β = -0.13%, R = 0.305, < 0.001; fully vaccinated: β = -0.06%, R = 0.120, = 0.014).
These findings suggested targeted public health interventions and mitigation strategies addressing health disparities are essential to improve inequitable outcomes of COVID-19 in the US.
2019冠状病毒病(COVID-19)大流行造成的负担不均衡已成为美国的一个主要关切问题,但尚未评估COVID-19病死率(CFR)与州一级影响健康结果的因素之间的关联。
我们使用疾病控制与预防中心的COVID数据追踪器计算了三个不同疫情波次的COVID-19 CFR。《美国健康排名》评估影响健康结果的因素以确定各州的健康排名。通过线性回归分析COVID-19 CFR与州健康差距之间的关联。
在第一波疫情中,物理环境排名较好的州CFR较低(β = 0.06%,R = 0.170,P = 0.003)。在第二波疫情中,CFR与临床护理(β = -0.04%,R = 0.112,P = 0.017)和总体健康排名(β = -0.03%,R = 0.096,P = 0.029)之间存在矛盾的关联。在第三波疫情中,总体健康因素(β = 0.01%,R = 0.179,P = 0.002)、社会与经济因素(β = 0.01%,R = 0.176,P = 0.002)、行为(β = 0.01%,R = 0.204,P < 0.001)和健康结果(β = 0.01%,R = 0.163,P = 0.004)排名较好的州CFR较低。COVID-19疫苗接种覆盖率也与州健康排名相关(至少接种一剂:β = -0.13%,R = 0.305,P < 0.001;完全接种:β = -0.06%,R = 0.120,P = 0.014)。
这些发现表明,针对健康差距的有针对性的公共卫生干预措施和缓解策略对于改善美国COVID-19的不公平结果至关重要。