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1000 Titel
  • It’s Time to be disgusting about COVID-19: Effect of disgust priming on COVID-19 public health compliance among liberals and conservatives
1000 Autor/in
  1. Mermin-Bunnell, Kellen |
  2. Ahn, Woo-kyoung |
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-05-12
1000 Erschienen in
1000 Quellenangabe
  • 17(5):e0267735
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0267735 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098091/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The COVID-19 pandemic is far from over, in part due to poor adoption of public health mitigation measures in the U.S. and the continued spread of the Delta and Omicron variants. Current public health messaging used in the U.S. could be improved to better combat mistrust about COVID-19 and its mitigation measures, especially vaccines. We propose that a disgust-inducing public health campaign will be more effective than current approaches, primarily among conservatives, who are both sensitive to moralized disgust and are less compliant with U.S. public health guidelines. Using a convenience sample across two studies (n = 1610), we found that presenting disgusting images related to the COVID-19 pandemic increased public health compliance more among conservatives than among liberals. Among unvaccinated conservative participants, disgusting images significantly increased willingness to be vaccinated compared to less disgusting images of COVID-19 or perks offered for COVID-19 vaccines. Using disgusting images for public health messaging has the potential to improve compliance among conservatives and accelerate the end of the COVID-19 pandemic in the U.S.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Humans
lokal Multidisciplinary
lokal Pandemics/prevention
lokal Humans [MeSH]
lokal COVID-19 Vaccines [MeSH]
lokal Public Health
lokal Disgust [MeSH]
lokal Public Health [MeSH]
lokal COVID-19/prevention
lokal COVID-19/epidemiology [MeSH]
lokal Disgust
lokal SARS-CoV-2 [MeSH]
lokal COVID-19 Vaccines
lokal SARS-CoV-2
lokal COVID-19/epidemiology
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4612-8152|https://orcid.org/0000-0002-5203-2376
1000 Hinweis
  • Metadata provieded by: LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2022-12-30T16:43:20.874+0100
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