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

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 b...

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Publicado en:American Journal of Public Health Vol. 116; no. 1; pp. 124 - 137
Autores principales: McMurtry, Caitlin L., Cheu, Rachana
Formato: Artículo
Publicado: American Public Health Association Jan2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2026
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      pub: American Public Health Association
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        10.2105/AJPH.2025.308226
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        atl: Political Polarization During Disease Outbreaks: A Meta-Analysis of Archival Survey Data From Polio to COVID-19.
      aug:
        au:
          McMurtry, Caitlin L.
          Cheu, Rachana
        affil: Brown School, Washington University, St. Louis, MO.
      su:
        United States
        Disease outbreaks
        Conflict (Psychology)
        Vaccination
        Public opinion
        Attitude (Psychology)
        Vaccine hesitancy
        Polio
        Practical politics
        COVID-19 pandemic
        Meta-analysis
        Descriptive statistics
        Confidence intervals
        Data analysis software
        COVID-19
        Regression analysis
      sug:
        subj:
          Disease outbreaks
          Conflict (Psychology)
          Vaccination
          Public opinion
          Attitude (Psychology)
          Vaccine hesitancy
          Polio
          Practical politics
          COVID-19 pandemic
          United States
          Administration of Public Health Programs
          Meta-analysis
          Descriptive statistics
          Confidence intervals
          Data analysis software
          COVID-19
          Regression analysis
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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