| Literature DB >> 34149102 |
Marc Debus1, Jale Tosun2.
Abstract
The COVID-19 pandemic has forced governments to impose major restrictions on individual freedom in order to stop the spread of the virus. With the successful development of a vaccine, these restrictions are likely to become obsolete-on the condition that people get vaccinated. However, parts of the population have reservations against vaccination. While this is not a recent phenomenon, it might prove a critical one in the context of current attempts to manage the COVID-19 pandemic. Consequently, the task of designing policies suitable for attaining high levels of vaccination deserves enhanced attention. In this study, we use data from the Eurobarometer survey fielded in March 2019. They show that 39% of Europeans consider vaccines to cause the diseases which they should protect against, that 50% believe vaccines have serious side effects, that 32% think that vaccines weaken the immune system, and that 10% do not believe vaccines are tested rigorously before authorization. We find that-even when controlling for important individual-level factors-ideological extremism on both ends of the spectrum explains skepticism of vaccination. We conclude that policymakers must either politicize the issue or form broad alliances among parties and societal groups in order to increase trust in and public support for the vaccines in general and for vaccines against COVID-19 in particular, since the latter were developed in a very short time period and resulted-in particular in case of the AstraZeneca vaccine-in reservations because of the effectiveness and side effects of the new vaccines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11077-021-09428-0.Entities:
Keywords: Attitudes; Beliefs; COVID-19; Europe; Ideology; Policy design
Year: 2021 PMID: 34149102 PMCID: PMC8206899 DOI: 10.1007/s11077-021-09428-0
Source DB: PubMed Journal: Policy Sci ISSN: 0032-2687
Fig. 1Share of respondents that agree with the statement, “vaccines overload and weaken the immune system”. Comment: Line provides information on the share of people across all countries and regions
Fig. 2Share of respondents that agree with the statement, “vaccines can cause the disease against which they protect”. Comment: Line provides information on the share of people across all countries and regions
Fig. 3Share of respondents that agree with the statement, “vaccines often produce serious side effects”. Comment: Line provides information on the share of people across all countries and regions
Fig. 4Share of respondents that disagree with the statement, “vaccines are rigorously tested before being authorized for use”. Comment: Line provides information on the share of people across all countries and regions
Determinants of skeptical positions on vaccination
| Agreement with the following statements | “Vaccines overload and weaken the immune system” | “Vaccines can cause the disease against which they protect” | “Vaccines often produce serious side effects” | “Vaccines are not rigorously tested before being authorized for use” |
|---|---|---|---|---|
| Ideological extremism | 0.006 | 0.019+ | 0.025* | 0.068** |
| (0.011) | (0.011) | (0.011) | (0.017) | |
| “My voice does not count” | 0.043* | 0.014 | − 0.007 | 0.220** |
| (0.019) | (0.018) | (0.018) | (0.029) | |
| Political interest strong–low | 0.033+ | 0.022 | 0.042* | − 0.014 |
| (0.018) | (0.017) | (0.017) | (0.028) | |
| Life satisfaction high–low | 0.047+ | 0.047* | 0.032 | 0.065+ |
| (0.025) | (0.024) | (0.024) | (0.038) | |
| Tend not to trust in nat. government | 0.155** | 0.159** | 0.199** | 0.169** |
| (0.036) | (0.032) | (0.033) | (0.057) | |
| Tend not to trust in the media | 0.137** | 0.127** | 0.216** | 0.307** |
| (0.034) | (0.033) | (0.031) | (0.053) | |
| Female | 0.004 | 0.054+ | 0.088** | − 0.036 |
| (0.032) | (0.030) | (0.030) | (0.049) | |
| Years spent in the education system | − 0.040** | − 0.013+ | − 0.039** | − 0.026* |
| (0.007) | (0.007) | (0.007) | (0.011) | |
| Respondent has children | − 0.028 | − 0.022 | − 0.067* | − 0.095+ |
| (0.036) | (0.034) | (0.034) | (0.055) | |
| Age | 0.001 | 0.014* | − 0.005 | − 0.011 |
| (0.006) | (0.006) | (0.006) | (0.009) | |
| Age (squared) | − 0.000 | − 0.000** | 0.000 | 0.000 |
| (0.000) | (0.000) | (0.000) | (0.000) | |
| Financial problems | 0.262** | 0.200** | 0.179** | 0.260** |
| (0.039) | (0.038) | (0.037) | (0.058) | |
| Self-assessment working class | − 0.049 | 0.000 | 0.004 | − 0.127+ |
| (0.042) | (0.040) | (0.039) | (0.065) | |
| Self-assessment lower middle class | 0.011 | 0.019 | 0.148** | − 0.008 |
| (0.045) | (0.043) | (0.043) | (0.069) | |
| Occupation: manual worker | 0.071 | − 0.013 | 0.063 | 0.177** |
| (0.045) | (0.043) | (0.043) | (0.068) | |
| Unemployed | 0.063 | − 0.028 | 0.158* | − 0.033 |
| (0.076) | (0.073) | (0.073) | (0.117) | |
| Retired | − 0.012 | 0.003 | 0.041 | − 0.203* |
| (0.055) | (0.051) | (0.051) | (0.086) | |
| Occupation: self-employed | 0.115+ | − 0.125* | 0.147* | 0.175+ |
| (0.063) | (0.061) | (0.059) | (0.095) | |
| Country dummy variables | Included | Included | Included | Included |
| Constant | − 0.958** | − 0.891** | 0.145 | − 2.824** |
| (0.196) | (0.186) | (0.184) | (0.298) | |
| 20,271 | 20,271 | 20,271 | 20,271 | |
| 24,295.091 | 26,788.444 | 27,205.859 | 12,600.181 | |
| Log likelihood | − 12,100.546 | − 13,347.222 | − 13,555.929 | − 6253.091 |
Estimates from a logit model. Numbers in parentheses are standard errors. Significance levels: +p ≤ 0.1; *p ≤ 0.05; **p ≤ 0.01