Correlates of COVID-19 vaccine hesitancy in Austria: trust and the government.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
07 03 2022
Historique:
received: 05 03 2021
revised: 27 03 2021
accepted: 28 03 2021
pubmed: 6 5 2021
medline: 15 3 2022
entrez: 5 5 2021
Statut: ppublish

Résumé

With the coronavirus disease 2019 (COVID-19) pandemic surging and new mutations evolving, trust in vaccines is essential. We explored correlates of vaccine hesitancy, considering political believes and psychosocial concepts, conducting a non-probability quota-sampled online survey with 1007 Austrians. We identified several important correlates of vaccine hesitancy, ranging from demographics to complex factors such as voting behavior or trust in the government. Among those with hesitancy towards a COVID-19 vaccine, having voted for opposition parties (opp) or not voted (novote) were (95% Confidence Intervall (CI)opp, 1.44-2.95) to 2.25-times (95%CInovote, 1.53-3.30) that of having voted for governing parties. Only 46.2% trusted the Austrian government to provide safe vaccines, and 80.7% requested independent scientific evaluations regarding vaccine safety to increase willingness to vaccine. Contrary to expected, psychosocial dimensions were only weakly correlated with vaccine hesitancy. However, the strong correlation between distrust in the vaccine and distrust in authorities suggests a common cause of disengagement from public discourse.

Sections du résumé

BACKGROUND
With the coronavirus disease 2019 (COVID-19) pandemic surging and new mutations evolving, trust in vaccines is essential.
METHODS
We explored correlates of vaccine hesitancy, considering political believes and psychosocial concepts, conducting a non-probability quota-sampled online survey with 1007 Austrians.
RESULTS
We identified several important correlates of vaccine hesitancy, ranging from demographics to complex factors such as voting behavior or trust in the government. Among those with hesitancy towards a COVID-19 vaccine, having voted for opposition parties (opp) or not voted (novote) were (95% Confidence Intervall (CI)opp, 1.44-2.95) to 2.25-times (95%CInovote, 1.53-3.30) that of having voted for governing parties. Only 46.2% trusted the Austrian government to provide safe vaccines, and 80.7% requested independent scientific evaluations regarding vaccine safety to increase willingness to vaccine.
CONCLUSIONS
Contrary to expected, psychosocial dimensions were only weakly correlated with vaccine hesitancy. However, the strong correlation between distrust in the vaccine and distrust in authorities suggests a common cause of disengagement from public discourse.

Identifiants

pubmed: 33948665
pii: 6263399
doi: 10.1093/pubmed/fdab122
pmc: PMC8135852
doi:

Substances chimiques

COVID-19 Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e106-e116

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Faculty of Public Health.

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Auteurs

Eva Schernhammer (E)

Department of Epidemiology, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria.
Complexity Science Hub, 1080 Vienna, Austria.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

Jakob Weitzer (J)

Department of Epidemiology, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria.

Manfred D Laubichler (MD)

Complexity Science Hub, 1080 Vienna, Austria.
School of Complex Adaptive Systems, Arizona State University, Tempe, AZ 85287, USA.
Santa Fe Institute, Santa Fe, NM 87501, USA.

Brenda M Birmann (BM)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

Martin Bertau (M)

Institute for Technical Chemistry, TU Bergakademie Freiberg, 09599 Freiberg, Germany.

Lukas Zenk (L)

Department for Knowledge and Communication Management, Danube University Krems, 3500 Krems and der Donau, Austria.

Guido Caniglia (G)

Konrado Lorenz Institute for Evolution and Cognition Research, 3400 Klosterneuburg, Austria.

Carlo C Jäger (CC)

Global Climate Forum, 10178 Berlin, Germany.

Gerald Steiner (G)

Complexity Science Hub, 1080 Vienna, Austria.
Institute for Technical Chemistry, TU Bergakademie Freiberg, 09599 Freiberg, Germany.

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Classifications MeSH