Nguyen Tran Ha, Shah Gulzar H, Schwind Jessica S, Richmond Holly L
Interdisciplinary Health Sciences Department, College of Allied Health Sciences, Augusta University, Augusta, Georgia (Dr Nguyen); and Department of Biostatistics, Epidemiology, and Environmental Health Sciences (Drs Schwind and Richmond), Health Policy & Community Health Department, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia (Dr Shah).
J Public Health Manag Pract. 2021;27(3):251-257. doi: 10.1097/PHH.0000000000001330.
The COVID-19 pandemic affects population groups differently, worsening existing social, economic, and health inequities.
This study examined 159 counties within Georgia to identify community characteristics associated with county-level COVID-19 case, hospitalization, and death rates.
Data from the 2020 County Health Rankings, the 2010 US Census, and the Georgia Department of Public Health COVID-19 Daily Status Report were linked using county Federal Information Processing Standard codes and evaluated through multivariable linear regression models.
The percentages of children in poverty, severe housing problems, and people not proficient in the English language were significant predictors associated with increases in case, hospitalization, and death rates. Diabetic prevalence was significantly associated with increases in the hospitalization and death rates; in contrast, the percentages of people with excessive drinking and female were inversely associated with hospitalization and death rates. Other independent variables showing an association with death rate included the percentages of people reporting fair or poor health and American Indian/Alaska Native.
Local authorities' proper allocation of resources and plans to address community social determinants of health are essential to mitigate disease transmission and reduce hospitalizations and deaths associated with COVID-19, especially among vulnerable groups.
新冠疫情对不同人群的影响各异,加剧了现有的社会、经济和健康不平等状况。
本研究对佐治亚州的159个县进行了调查,以确定与县级新冠病例、住院率和死亡率相关的社区特征。
利用县联邦信息处理标准代码,将2020年县健康排名、2010年美国人口普查以及佐治亚州公共卫生部新冠疫情每日状况报告中的数据进行关联,并通过多变量线性回归模型进行评估。
贫困儿童比例、严重住房问题以及英语不熟练人群比例是与病例、住院率和死亡率上升相关的显著预测因素。糖尿病患病率与住院率和死亡率上升显著相关;相比之下,过度饮酒者比例和女性比例与住院率和死亡率呈负相关。其他与死亡率相关的自变量包括自我报告健康状况为一般或较差的人群比例以及美洲印第安人/阿拉斯加原住民比例。
地方当局合理分配资源并制定计划以解决社区健康的社会决定因素,对于减轻疾病传播、减少与新冠疫情相关的住院和死亡至关重要,尤其是在弱势群体中。