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. 2023 Jun 7;13:9245. doi: 10.1038/s41598-023-35974-z

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Effect of AstraZeneca ban by level of trust in science and of financial difficulties. Note: The figure shows estimation coefficients for the impact of the week dummies before and after the introduction of the AstraZeneca ban for weeks y = − 4 until y = + 2 based on an event study regression according to Eq. (1), separately by level of financial difficulties (See section “Methods”). The vertical line indicates the week prior to the week of the AstraZeneca ban. The upper graphs show estimation coefficients for all reasons for vaccine hesitancy, the middle graphs show estimation coefficients for fear as main reason for vaccine hesitancy, and the graphs at the bottom, show regression coefficients for other reasons (mainly conspiracy reasons) for vaccine hesitancy. The red line shows the results for the group with a low level of trust in science (having a score within the first or second country-specific terciles on a 1–10 Likert scale) and the blue line shows the results for the group with high level of trust (having a score within the third country-specific tercile on a 1–10 Likert scale). The vertical bars show the upper and lower bounds of the 95 percent confidence intervals of the estimation coefficients.