| Literature DB >> 35125225 |
Leonardo W Heyerdahl1, Muriel Vray2, Benedetta Lana1, Nastassia Tvardik1, Nina Gobat3, Marta Wanat3, Sarah Tonkin-Crine3, Sibyl Anthierens4, Herman Goossens5, Tamara Giles-Vernick6.
Abstract
The COVID-19 vaccine rollout has offered a powerful preventive measure to help control SARS-CoV-2 transmission. Nevertheless, long-standing public hesitation around vaccines heightened concerns that vaccine coverage would not achieve desired public health impacts, particularly in light of more contagious variants. This cross-sectional survey was conducted online just before the European vaccine rollout in December 2020 among 7000 respondents (aged 18-65) in Belgium, France, Germany, Italy, Spain, Sweden, and Ukraine. The survey included open text boxes for fuller explanation of responses. Overall, 56.9% of respondents would accept a COVID-19 vaccine, 19.0% would not, and 24.1% did not know or preferred not to say. By country, between 44% (France) and 66% (Italy) of respondents would accept a COVID-19 vaccine. Respondents expressed conditionality in open responses, voicing concerns about vaccine safety and mistrust of authorities. We highlight lessons learned about the dynamism of vaccine conditionality and persistence of safety concerns.Entities:
Keywords: COVID-19; Europe; Mixed methods; Vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35125225 PMCID: PMC8806150 DOI: 10.1016/j.vaccine.2022.01.054
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Characteristics of study population.
| Total | Belgium | France | Germany | Italy | |
|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | N (%) | |
| Women | 3 516 (50.3) | 498 (49.8) | 511 (51.2) | 497 (49.9) | 504 (50.4) |
| 18–24 | 916 (13.1) | 132 (13.2) | 134 (13.4) | 114 (11.4) | 110 (11.0) |
| 25–34 | 1 455 (20.8) | 206 (20.6) | 200 (20.0) | 192 (19.2) | 187 (18.7) |
| 35–44 | 1 546 (22.1) | 215 (21.5) | 218 (21.8) | 209 (20.9) | 248 (24.8) |
| 45–54 | 1 640 (23.4) | 233 (23.3) | 224 (22.4) | 259 (25.9) | 243 (24.3) |
| 55–65 | 1 443 (20.6) | 214 (21.4) | 224 (22.4) | 226 (22.6) | 212 (21.2) |
| Single | 2 866 (40.9) | 448 (44.8) | 373 (37.3) | 488 (48.8) | 426 (42.6) |
| Married/Domestic Partner | 4 134 (59.1) | 552 (55.2) | 627 (62.7) | 512 (51.2) | 574 (57.4) |
| Working* | 4 548 (65.0) | 641 (64.1) | 661 (66.1) | 746 (74.6) | 568 (56.8) |
| Not working | 2 452 (35.0) | 359 (35.9) | 339 (33.9) | 254 (25.4) | 435 (43.5) |
| Primary | 479 (6.8) | 126 (12.6) | 5 (0.5) | 37 (3.7) | 81 (8.1) |
| Secondary | 3 234 (46.2) | 350 (35.0) | 412 (41.2) | 612 (61.2) | 669 (66.9) |
| Tertiary | 3 287 (47.0) | 524 (52.4) | 583 (58.3) | 351 (35.1) | 250 (25.0) |
*Defined as full-time employment, part-time employment or self-employment.
Fig. 1Vaccine acceptance by socio-demographic characteristics.
Factors linked to accepting or rejecting COVID-19 vaccination: n (%).
| Yes | No | Don’t know/Prefer not to say | Total | ||
|---|---|---|---|---|---|
| (N = 3 985) | (N = 1 327) | (N = 1 688) | _(N = 7 000) | p-value | |
| Vaccine not Dangerous | 2 140 (53.7) | 216 (16.3) | 323 (19.1) | 2 679 (38.3) | p < 0.001 |
| Safety considerations Bypassed | 1 408 (35.3) | 723 (54.5) | 766 (45.4) | 2 897 (41.4) | p < 0.001 |
| Adjuvants unsafe | 670 (16.8) | 568 (42.8) | 402 (23.8) | 1 640 (23.4) | p < 0.001 |
| Microchips in vaccine | |||||
| Agree | 452 (11.3) | 338 (25.5) | 191 (11.3) | 981 (14.0) | p < 0.001 |
| National government | 1 823 (45.8) | 239 (18.0) | 379 (22.5) | 2 441 (34.9) | p < 0.001 |
| Pharmaceutical cos. | 1 868 (46.9) | 232 (17.5) | 386 (22.9) | 2 486 (35.5) | p < 0.001 |
| Physicians | 3 414 (85.7) | 830 (62.6) | 1 274 (75.5) | 5 518 (78.8) | p < 0.001 |
| Nurses | 2 992 (75.1) | 768 (57.9) | 1 146 (67.9) | 4 906 (70.1) | p < 0.001 |
| Pharmacists | 2 837 (71.2) | 652 (49.1) | 1 010 (59.8) | 4 499 (64.3) | p < 0.001 |
| Media (general) | 2 093 (52.5) | 385 (29.0) | 613 (36.3) | 3 091 (44.2) | p < 0.001 |
| Friends and Family | 1 024 (25.7) | 344 (25.9) | 379 (22.5) | 1 747 (25.0) | p < 0.024 |
| Social networks | 536 (13.5) | 175 (13.2) | 187 (11.1) | 898 (12.8) | p < 0.046 |
| Left | 642 (66.3) | 146 (15.1) | 181 (18.7) | 969 (13.8) | |
| Center | 1 814 (60.0) | 527 (17.4) | 684 (22.6) | 3025 (43.2) | p<0.001 |
| Right | 936 (59.0) | 341 (21.5) | 310 (19.5) | 1587 (22.7) | |
| NA | 593 (41.8) | 313 (22.1) | 513 (36.2) | 1419 (20.3) | |
Respondents were asked to what extent they agreed or disagreed with the following claim: “A COVID-19 vaccine will not be dangerous to human health.”
Respondents were asked to what extent they agreed or disagreed with the following claim: “I believe that safety considerations are being bypassed in the development of COVID-19 vaccinations.”
Respondents were asked to what extent they agreed or disagreed with the following: “Adjuvants (ingredients which cause more antibodies to be produced), contained in most vaccines, have negative effects on human health.”
Respondents were asked to what extent they agreed or disagreed with the following: “Authorities want to insert microchips in the COVID-19 vaccine to impose control over people.”
Respondents were asked to what extent they agreed or disagreed with the following: “The national government is being honest with its citizens when managing COVID-19 pandemic.”
Respondents were asked to what extent they agreed or disagreed with the following: “Pharmaceutical companies that are doing research on COVID-19 would be honest about what they discover.”
The following 6 categories were those in whom respondents trusted (or not) as specific sources of information. Respondents were specifically asked to evaluate “To what extent do you consider the following to be trustworthy, or not, as sources of information about scientific studies concerning the origins, treatment, prevention, or consequences of COVID-19?”
Respondents were asked to place their political beliefs on a 10-point scale from left to right.
NA = Missing data.