Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys

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Abstract

Objective

Describe demographical, social and psychological correlates of willingness to receive a COVID-19 vaccine.

Setting

Series of online surveys undertaken between March and October 2020.

Participants

A total of 25 separate national samples (matched to country population by age and sex) in 12 different countries were recruited through online panel providers (n=25 334).

Primary outcome measures

Reported willingness to receive a COVID-19 vaccination.

Results

Reported willingness to receive a vaccine varied widely across samples, ranging from 63% to 88%. Multivariate logistic regression analyses reveal sex (female OR=0.59, 95% CI 0.55 to 0.64), trust in medical and scientific experts (OR=1.28, 95% CI 1.22 to 1.34) and worry about the COVID-19 virus (OR=1.47, 95% CI 1.41 to 1.53) as the strongest correlates of stated vaccine acceptance considering pooled data and the most consistent correlates across countries. In a subset of UK samples, we show that these effects are robust after controlling for attitudes towards vaccination in general.

Conclusions

Our results indicate that the burden of trust largely rests on the shoulders of the scientific and medical community, with implications for how future COVID-19 vaccination information should be communicated to maximise uptake.

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Most cited references 66

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Using social and behavioural science to support COVID-19 pandemic response

Jay Bavel, Katherine Baicker, Paulo S Boggio … (2020)

The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic and highlight important gaps researchers should move quickly to fill in the coming weeks and months.

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A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

Thomas C. Hale, Noam Angrist, Rafael Goldszmidt … (2021)

COVID-19 has prompted unprecedented government action around the world. We introduce the Oxford COVID-19 Government Response Tracker (OxCGRT), a dataset that addresses the need for continuously updated, readily usable and comparable information on policy measures. From 1 January 2020, the data capture government policies related to closure and containment, health and economic policy for more than 180 countries, plus several countries' subnational jurisdictions. Policy responses are recorded on ordinal or continuous scales for 19 policy areas, capturing variation in degree of response. We present two motivating applications of the data, highlighting patterns in the timing of policy adoption and subsequent policy easing and reimposition, and illustrating how the data can be combined with behavioural and epidemiological indicators. This database enables researchers and policymakers to explore the empirical effects of policy responses on the spread of COVID-19 cases and deaths, as well as on economic and social welfare.

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A global survey of potential acceptance of a COVID-19 vaccine

Jeffrey V Lazarus, Scott C Ratzan, Adam Palayew … (2020)

Several coronavirus disease 2019 (COVID-19) vaccines are currently in human trials. In June 2020, we surveyed 13,426 people in 19 countries to determine potential acceptance rates and factors influencing acceptance of a COVID-19 vaccine. Of these, 71.5% of participants reported that they would be very or somewhat likely to take a COVID-19 vaccine, and 61.4% reported that they would accept their employer’s recommendation to do so. Differences in acceptance rates ranged from almost 90% (in China) to less than 55% (in Russia). Respondents reporting higher levels of trust in information from government sources were more likely to accept a vaccine and take their employer’s advice to do so.

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Author and article information

Journal

Journal ID (nlm-ta): BMJ Open

Journal ID (iso-abbrev): BMJ Open

Journal ID (hwp): bmjopen

Journal ID (publisher-id): bmjopen

Title: BMJ Open

Publisher: BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )

ISSN (Electronic): 2044-6055

Publication date Collection: 2021

Publication date (Electronic): 2 August 2021

Publication date PMC-release: 2 August 2021

Volume: 11

Issue: 8

Electronic Location Identifier: e048025

Affiliations

[1 ]departmentWinton Centre for Risk and Evidence Communication , University of Cambridge , Cambridge, UK

[2 ]departmentDepartment of Psychology , University of Cambridge , Cambridge, UK

[3 ]departmentCenter of Environmental and Climate Sciences , Lund University , Lund, Sweden

[4 ]departmentBordeaux Population Health Research Center, U1219, Inserm , University of Bordeaux , Bordeaux, France

[5 ]departmentPole de Sante Publique , Centre Hospitalier Universitaire de Bordeaux , Bordeaux, France

[6 ]departmentDirection de la prévention - promotion de la santé , Santé publique France , Saint-Maurice, France

Author notes

[Correspondence to ] Dr John R Kerr; jk802@ 123456cam.ac.uk

Author information

John R Kerr http://orcid.org/0000-0002-6606-5507

Claudia R Schneider http://orcid.org/0000-0002-6612-5186

Gabriel Recchia http://orcid.org/0000-0002-0210-8635

Sarah Dryhurst http://orcid.org/0000-0002-7772-8492

Ullrika Sahlin http://orcid.org/0000-0002-2932-6253

Carole Dufouil http://orcid.org/0000-0003-2442-4476

Alexandra LJ Freeman http://orcid.org/0000-0002-4115-161X

Sander van der Linden http://orcid.org/0000-0002-0269-1744

Article

Publisher ID: bmjopen-2020-048025

DOI: 10.1136/bmjopen-2020-048025

PMC ID: 8331327

PubMed ID: 34341047

SO-VID: be3011fc-269e-4da6-b35f-97bd887d7396

License:

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

History

Date received : 21 December 2020

Date accepted : 08 July 2021

Funding

Funded by: David and Claudia Harding Foundation;

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special-feature unlocked

ScienceOpen disciplines: Medicine

Keywords: covid-19,public health,preventive medicine

Data availability:

ScienceOpen disciplines: Medicine

Keywords: covid-19, public health, preventive medicine

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Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys

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Abstract

Objective

Setting

Participants

Primary outcome measures

Results

Conclusions

Related collections

Novel Coronavirus Disease COVID-19

Most cited references 66

Using social and behavioural science to support COVID-19 pandemic response

A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

A global survey of potential acceptance of a COVID-19 vaccine

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Cited by 45

Most referenced authors 1,854