The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

ullrika at the uncertainty show

Ullrika Sahlin

Senior lecturer

ullrika at the uncertainty show

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


  • John R. Kerr
  • Claudia R. Schneider
  • Gabriel Recchia
  • Sarah Dryhurst
  • Ullrika Sahlin
  • Carole Dufouil
  • Pierre Arwidson
  • Alexandra L.J. Freeman
  • Sander Van Der Linden

Summary, in English

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.


  • Centre for Environmental and Climate Science (CEC)

Publishing year





BMJ Open





Document type

Journal article


BMJ Publishing Group


  • Public Health, Global Health, Social Medicine and Epidemiology


  • COVID-19
  • preventive medicine
  • public health




  • ISSN: 2044-6055