Political Polarization During Disease Outbreaks: A Meta-Analysis of Archival Survey Data From Polio to COVID-19.

IF 9.6 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Caitlin L McMurtry, Rachana Cheu
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引用次数: 0

Abstract

Objectives. To assess how political polarization during COVID-19 compares with that in past disease outbreaks in the United States. Methods. Using random-effects meta-analyses and mixed-effects meta-regressions, we searched the Roper Center for Public Opinion Research and estimated the association between polarization during COVID-19 and during non-COVID-19 disease outbreaks. Results. The study included 170 polls spanning 13 outbreaks over nearly 70 years. Polarization during COVID-19 was 5 and 12 times greater than in past disease outbreaks in terms of concern about infection and vaccine hesitancy, respectively. After we controlled for survey-level characteristics, COVID-19 was associated with 20.23 (95% confidence interval [CI] = 12.30, 28.17) and 25.89 (95% CI = 6.63, 45.16) additional percentage points of polarization regarding concern about infection and vaccine hesitancy, respectively-far higher than historical trends would predict. Conclusions. In terms of concern about infection and vaccine hesitancy, polarization during COVID-19 was substantially higher than in any other disease outbreak in modern American history for which we have relevant data. Public Health Implications. High levels of polarization do not appear endemic to disease outbreaks, suggesting such division may be preventable in the future. (Am J Public Health. Published online ahead of print August 28, 2025:e1-e13. https://doi.org/10.2105/AJPH.2025.308226).

疾病暴发期间的政治两极分化:从脊髓灰质炎到COVID-19档案调查数据的荟萃分析
目标。评估2019冠状病毒病期间的政治两极分化与美国过去疾病爆发期间的政治两极分化。方法。使用随机效应荟萃分析和混合效应荟萃回归,我们检索了Roper公众舆论研究中心,并估计了COVID-19和非COVID-19疾病爆发期间两极分化之间的关联。结果。这项研究包括170项民意调查,涵盖了近70年来的13次疫情。在对感染和疫苗犹豫的担忧方面,COVID-19期间的两极分化程度分别是过去疾病暴发期间的5倍和12倍。在控制了调查水平的特征后,COVID-19与对感染和疫苗犹豫的担忧分别增加20.23(95%置信区间[CI] = 12.30, 28.17)和25.89 (95% CI = 6.63, 45.16)个百分点的两极分化相关,远远高于历史趋势预测。结论。在对感染和疫苗犹豫的担忧方面,新冠肺炎期间的两极分化程度远远高于我们有相关数据的美国近代史上任何一次疾病爆发。公共卫生影响。高度的两极分化似乎并不是疾病爆发的特有现象,这表明这种分化在未来是可以预防的。公共卫生。2025年8月28日提前在线发布:e1-e13。https://doi.org/10.2105/AJPH.2025.308226)。
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来源期刊
American journal of public health
American journal of public health 医学-公共卫生、环境卫生与职业卫生
CiteScore
9.50
自引率
3.90%
发文量
1109
审稿时长
2-4 weeks
期刊介绍: The American Journal of Public Health (AJPH) is dedicated to publishing original work in research, research methods, and program evaluation within the field of public health. The journal's mission is to advance public health research, policy, practice, and education.
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