Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52309
Title: Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand
Contributor(s): Kaine, Geoff (author); Wright, Victor  (author)orcid ; Greenhalgh, Suzie (author)
Corporate Author: New Zealand Ministry for Business, Innovation and Employment (MBIE): New Zealand
Publication Date: 2022-04-07
Open Access: Yes
DOI: 10.1371/journal.pone.0266485
Handle Link: https://hdl.handle.net/1959.11/52309
Abstract: 

Governments around the world are seeking to slow the spread of Covid-19 and reduce hospitalisations by encouraging mass vaccinations for Covid-19. The success of this policy depends on most of the population accepting the vaccine and then being vaccinated. Under standing and predicting the motivation of individuals to be vaccinated is, therefore, critical in assessing the likely effectiveness of a mass vaccination programme in slowing the spread of the virus. In this paper we draw on the I3 Response Framework to understand and predict the willingness of New Zealanders to be vaccinated for Covid-19. The Framework differs from most studies predicting willingness to be vaccinated because it is based on the idea that the willingness to adopt a behaviour depends on both involvement (a measure of motivational strength) with the behaviour and attitudes towards the behaviour. We show that predictions of individuals' willingness to be vaccinated are improved using involvement and attitudes together, compared to attitudes alone. This result has important implications for the implementation of mass vaccination programmes for Covid-19.

Publication Type: Journal Article
Source of Publication: PLoS One, 17(4), p. 1-26
Publisher: Public Library of Science
Place of Publication: United States of America
ISSN: 1932-6203
Fields of Research (FoR) 2008: 160508 Health Policy
170202 Decision Making
Fields of Research (FoR) 2020: 440706 Health policy
520402 Decision making
Socio-Economic Objective (SEO) 2008: 920407 Health Protection and/or Disaster Response
970111 Expanding Knowledge in the Medical and Health Sciences
Socio-Economic Objective (SEO) 2020: 200406 Health protection and disaster response
280112 Expanding knowledge in the health sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
UNE Business School

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