Investigation of the Impact of Social Vulnerability and Racial Disparity on COVID-19 Infection and Death Rates Among Georgians (USA).

Mohamed Mubasher, Lynnette Ametewee, Reinetta Thompson Waldrop, Peter Baltrus, Sabrina Mobley, Rakale C Quarells, Michelle Nwagwu, Chanelle Harris, Kamaria Glover, Mekhi Hill, Brittany D Taylor, Tabia Henry Akintobi
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Abstract

Introduction: The novel coronavirus (COVID-19) continues to shed light on the disproportionately negative impact of public health pandemics among racial/ethnic minorities and other systematically marginalized communities persistency experiencing poorer health and health outcomes. Far less statistical investigation has been conducted to confirm the disease agnostic social determinants correlated with the intersection of emergent crisis, chronic health conditions and local contexts to inform proactive response strategies. This study investigated the influence of Social Vulnerability (SV), barriers to access to vaccination and Racial Disparities (RD) on COVID-19 infection and death rates among Georgian residents using Georgia Department of Public Health data and County Health Rankings & Roadmaps.

Method: We adjusted analyses for other predictors of outcomes by using the Poisson Generalized Linear Mixed Models (with county as the unit of analysis). We iteratively modeled county-specific infection/death rates as a function of the Social Vulnerability Index (SVI, % Racial Population Gap (RPG) [(60+years % White - %African Americans/Blacks (AA)/Black)], education, %unemployed, %uninsured, % obese, % fully vaccinated, racial differences in respiratory infection discharge rates and %AA /Black residents (w/o RPG in the model).

Results: Per adjusted models' results of COVID-19 related death,, I) AA/Blacks, relative to Whites, were 51% more likely to die (p-value <0.0001), 1) by age-specific and overall estimates(p-values <0.0001 and 2) at a younger mean age (p-value < 0.0001), II) 1% increase in SVI increases the risk of death by 25% (p-value <0.0001) and III) risk of death decreases by 2.3% for every % increase in 60+ years old Whites vs. Black males county residents (p-value <0.0001). The case infection rate a) decreased by a.1) 0.1% for every percent population increase in the racial gap (i.e., more Whites than AA/Blacks in a county) (p-values = 0.0122) and a.2) 27% for every % increase of those fully vaccinated(p-value < 0.0001). The rates also increased by a) 17% with every 1% increase in SV Index p-value <0.0001) b) 1% for every 0.1% increase in those a) obese (p-value < 0.0001) and b) uninsured (p-value < 0.0001).

Conclusions: Attention to the Social Vulnerability Index (SVI) factors associated with COVID-19 illness and death signal the need for proactive prevention and mitigation interventions prior to and in the wake of public health pandemics thereby bridging the health disparity gap.

社会脆弱性和种族差异对格鲁吉亚人COVID-19感染和死亡率影响的调查(美国)。
新型冠状病毒(COVID-19)继续揭示了公共卫生大流行对种族/少数民族和其他系统性边缘化社区造成的不成比例的负面影响,这些社区持续经历较差的健康和健康结果。很少进行统计调查,以确认与紧急危机、慢性健康状况和当地情况交叉相关的疾病不可知论社会决定因素,从而为主动应对战略提供信息。本研究利用格鲁吉亚公共卫生部的数据和县健康排名和路线图,调查了社会脆弱性(SV)、获得疫苗接种的障碍和种族差异(RD)对格鲁吉亚居民COVID-19感染和死亡率的影响。方法:采用泊松广义线性混合模型(以县为分析单位)对结果的其他预测因子进行调整分析。我们将县特异性感染/死亡率作为社会脆弱性指数(SVI)、%种族人口差距(RPG)[(60岁以上%白人- %非洲裔美国人/黑人(AA)/黑人)]、教育、失业百分比、未投保百分比、肥胖百分比、完全接种疫苗百分比、呼吸道感染出院率的种族差异和%AA /黑人居民(模型中没有RPG)的函数进行迭代建模。结果:根据调整后的模型结果,与白人相比,AA/黑人死亡的可能性高出51% (p值结论:关注与COVID-19疾病和死亡相关的社会脆弱性指数(SVI)因素表明,需要在公共卫生大流行之前和之后采取积极的预防和缓解干预措施,从而缩小健康差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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