The politics of COVID-19: Differences between U.S. red and blue states in COVID-19 regulations and deaths

IF 1.7 Q3 HEALTH CARE SCIENCES & SERVICES
C. Dominik Güss , Lauren Boyd , Kelly Perniciaro , Danielle C. Free , J.R. Free , Ma. Teresa Tuason
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Abstract

The study investigated infection variables and control strategies in 2020 and 2021 and their influence on COVID-19 deaths in the United States, with a particular focus on comparing red (Republican) and blue (Democratic) states. The analysis reviewed cumulative COVID-19 deaths per 100,000 by year, state political affiliation, and a priori latent factor groupings of mitigation strategies (lockdown days in 2020, mask mandate days, vaccination rates), social demographic variables (ethnicity, poverty rate), and biological variables (median age, obesity). Analyses first identified possible relationships between all assessed variables using K-means clustering for red, blue, and purple states. Then, a series of regression models were fit to assess the effects of mitigation strategies, social, and biological factors specifically on COVID-19 deaths in red and blue states. Results showed distinct differences in responding to COVID infections between red states to blue states, particularly the red states lessor adoption of mitigation factors leaving more sway on biological factors in predicting deaths. Whereas in blue states, where mitigation factors were more readily implemented, vaccinations had a more significant influence in reducing the probability of infections ending in death. Overall, study findings suggest politicalization of COVID-19 mitigation strategies played a role in death rates across the United States.

COVID-19的政治:美国红蓝州在COVID-19法规和死亡人数方面的差异
该研究调查了2020年和2021年的感染变量和控制策略,以及它们对美国COVID-19死亡人数的影响,特别关注了红色(共和党)和蓝色(民主党)州的比较。该分析审查了每年每10万人中累积的COVID-19死亡人数、州政治派别以及缓解策略(2020年的封锁天数、口罩强制执行天数、疫苗接种率)、社会人口变量(种族、贫困率)和生物学变量(中位年龄、肥胖)的先验潜在因素分组。分析首先确定了所有评估变量之间的可能关系,使用K-means聚类分析红色、蓝色和紫色状态。然后,我们拟合了一系列回归模型,以评估缓解策略、社会和生物因素对红蓝州COVID-19死亡的影响。结果显示,红州和蓝州在应对COVID感染方面存在明显差异,特别是红州较少采用缓解因素,在预测死亡时对生物因素有更大的影响。而在更容易实施缓解因素的蓝色州,疫苗接种在降低感染以死亡告终的可能性方面具有更大的影响。总体而言,研究结果表明,COVID-19缓解策略的政治化在美国各地的死亡率中发挥了作用。
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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来源期刊
Health Policy Open
Health Policy Open Medicine-Health Policy
CiteScore
3.80
自引率
0.00%
发文量
21
审稿时长
40 weeks
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