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Biology (Basel). 2022 Jan 29;11(2):221. doi: 10.3390/biology11020221.
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A detailed explanation and graphical representation of the Blinder-Oaxaca decomposition method with its application in health inequalities.布林德-奥克亚卡分解方法的详细解释及其在健康不平等问题中的应用的图形表示。
Emerg Themes Epidemiol. 2021 Aug 6;18(1):12. doi: 10.1186/s12982-021-00100-9.
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Stay-at-home orders associate with subsequent decreases in COVID-19 cases and fatalities in the United States.居家令与美国随后 COVID-19 病例和死亡人数的下降有关。
PLoS One. 2021 Jun 10;16(6):e0248849. doi: 10.1371/journal.pone.0248849. eCollection 2021.
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COVID-19 and disparities affecting ethnic minorities.新冠疫情与影响少数族裔的差异
Lancet. 2021 May 8;397(10286):1684-1685. doi: 10.1016/S0140-6736(21)00949-1. Epub 2021 Apr 30.
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Relationship between political partisanship and COVID-19 deaths: future implications for public health.政治党派与 COVID-19 死亡之间的关系:对公共卫生的未来影响。
J Public Health (Oxf). 2022 Aug 25;44(3):716-723. doi: 10.1093/pubmed/fdab136.
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Associations Between Governor Political Affiliation and COVID-19 Cases, Deaths, and Testing in the U.S.美国州长党派属性与新冠病毒病例、死亡和检测的关联
Am J Prev Med. 2021 Jul;61(1):115-119. doi: 10.1016/j.amepre.2021.01.034. Epub 2021 Mar 10.
8
Obesity and Mortality Among Patients Diagnosed With COVID-19: A Systematic Review and Meta-Analysis.新冠病毒疾病确诊患者的肥胖与死亡率:一项系统综述和荟萃分析
Front Med (Lausanne). 2021 Feb 5;8:620044. doi: 10.3389/fmed.2021.620044. eCollection 2021.
9
Impact of Sex and Metabolic Comorbidities on Coronavirus Disease 2019 (COVID-19) Mortality Risk Across Age Groups: 66 646 Inpatients Across 613 U.S. Hospitals.性别和代谢合并症对 613 家美国医院 66646 名住院患者新冠肺炎死亡率风险的影响:年龄组分析。
Clin Infect Dis. 2021 Dec 6;73(11):e4113-e4123. doi: 10.1093/cid/ciaa1787.
10
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党派分歧:审视美国各县州长所在政党在新冠疫情死亡率上的差异

Along party Lines: Examining the gubernatorial party difference in COVID-19 mortality rates in U.S. Counties.

作者信息

Lhila Aparna, Alghanem Fares

机构信息

College of Business Administration, Central Michigan University, Mount Pleasant, MI 48859, USA.

Department of Anesthesiology, Pain Management, & Perioperative Medicine, Henry Ford Hospital, 2799 W Grand Blvd, Detroit, MI 48202, USA.

出版信息

Prev Med Rep. 2023 Apr;32:102142. doi: 10.1016/j.pmedr.2023.102142. Epub 2023 Feb 13.

DOI:10.1016/j.pmedr.2023.102142
PMID:36816769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9924028/
Abstract

Drawing upon the literatures on risk factors for COVID-19 and the roles of political party and political partisanship in COVID-19 policies and outcomes, this study quantifies the extent to which differences in Republican- and Democrat-governed counties' observable characteristics explain the Republican - Democrat gap in COVID-19 mortality rate in the United States. We analyze the county COVID-19 mortality rate between February 1 and December 31, 2020 and employ the Blinder-Oaxaca decomposition method. We estimate the extent to which differences in county characteristics - demographic, socioeconomic, employment, health status, healthcare access, area geography, and Republican vote share, explain the difference in COVID-19 mortality rates in counties governed by Republican vs Democrat governors. Among 3,114 counties, Republican-governed counties had significantly higher COVID-19 mortality than did Democrat-governed counties (127 ± 86 vs 97 ± 80 per 100,000 population, p < 0.001). Results are sensitive to which weights are used: of the total gap of 30.3 deaths per 100,000 population, 12.8 to 20.5 deaths, or 42.2-67.7 %, are explained by differences in observable characteristics of Republican- and Democratic-governed counties. Difference in support for President Trump between Republican- and Democrat-governed counties explains 25 % of the additional deaths in Republican counties. Policies aimed at improving population health and lowering racial disparity in COVID-19 outcomes may also be correlated with reducing the partisan gap in COVID-19 mortality.

摘要

借鉴关于新冠病毒病(COVID-19)风险因素以及政党和政治党派性在COVID-19政策与结果中所起作用的文献,本研究量化了由共和党和民主党治理的县在可观察特征上的差异在多大程度上解释了美国各县在COVID-19死亡率上的共和党与民主党差距。我们分析了2020年2月1日至12月31日期间各县的COVID-19死亡率,并采用了布林德-奥瓦萨分解法。我们估计了县特征(人口统计学、社会经济、就业、健康状况、医疗保健可及性、地区地理以及共和党选票份额)的差异在多大程度上解释了由共和党州长与民主党州长治理的县在COVID-19死亡率上的差异。在3114个县中,由共和党治理的县的COVID-19死亡率显著高于由民主党治理的县(每10万人中分别为127±86例和97±80例,p<0.001)。结果对所使用的权重敏感:在每10万人30.3例死亡的总差距中,12.8至20.5例死亡,即42.2%-67.7%,可由共和党和民主党治理的县在可观察特征上的差异来解释。共和党和民主党治理的县在对特朗普总统的支持上的差异解释了共和党治理的县中额外死亡人数的25%。旨在改善民众健康并降低COVID-19结果中的种族差异的政策,也可能与缩小COVID-19死亡率中的党派差距相关。