| Literature DB >> 33919672 |
Piotr Rzymski1,2, Joanna Zeyland3, Barbara Poniedziałek1, Ilona Małecka4, Jacek Wysocki4.
Abstract
Vaccine hesitancy is a major threat to the success of COVID-19 vaccination programs. The present cross-sectional online survey of adult Poles (n = 1020) expressing a willingness to receive the COVID-19 vaccine was conducted between February and March 2021 and aimed to assess (i) the general trust in different types of vaccines, (ii) the level of acceptance of the COVID-19 vaccines already in use in Poland (BNT162b2 by BioNTech/Pfizer, mRNA-1273 by Moderna and AZD1222 by Oxford/AstraZeneca) as well as eight vaccines approved outside European Union (EU) or in advanced stages of clinical trials, (iii) level of fear of vaccination against COVID-19, and (iv) main sources of information on COVID-19 vaccination. Among all major vaccine technology, the highest level of trust was observed for the mRNA platform, with a considerable number of surveyed (>20%) not aware of the existence of vaccines produced using the traditional approach (inactivated and live attenuated vaccines). The age of participants was the main factor differentiating the level of trust in a particular vaccine type. Both BNT162b and mRNA-1273 received a high level of acceptance, contrary to AZD1222. From eight vaccines unauthorized in the EU at the moment of study, the CVnCoV (mRNA; CureVac) was met with the highest level of trust, followed by Ad26.COV2.S (vector; Janssen/Johnson&Johnson) and NVX-CoV2373 (protein; Novavax). Sputnik V (vector; Gamaleya Research Institute) was decidedly the least trusted vaccine. The median level of fear (measured by the 10-point Likert-type scale) in the studied group was 4.0, mostly related to the risk of serious allergic reactions, other severe adverse events and unknown long-term effects of vaccination. Female, individuals with a lower level of education and those not seeking any information on the COVID-19 vaccines revealed a higher fear of vaccination. Experts' materials were the major source of information on COVID-19 vaccines in the studied group. The study shows the level of trust in COVID-19 vaccines can vary much across the producers while the mRNA vaccines are received with a high level of acceptance. It also emphasizes the need for effective and continuous science communication when fighting the pandemic as it may be an ideal time to increase the general awareness of vaccines.Entities:
Keywords: COVID-19; SARS-CoV-2; mRNA vaccines; vaccinations; vaccine hesitancy; vector vaccines
Year: 2021 PMID: 33919672 PMCID: PMC8069794 DOI: 10.3390/vaccines9040382
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
The demographic characteristic of the studied group (n = 1020).
| Age | Mean ± SD (Min–Max) | 45 ± 15 (17–85) |
|---|---|---|
| <50 | %/ | 64.2 (655) |
| ≥50 | 35.8 (365) | |
|
| %/ | |
| Female | 61.6 (628) | |
| Male | 38.4 (392) | |
|
| %/ | |
| Rural | 14.9 (152) | |
| Urban < 50,000 | 16.3 (166) | |
| Urban 50,000–150,000 | 7.5 (77) | |
| Urban 150,000–500,000 | 16.3 (166) | |
| Urban > 500,000 | 45.0 (459) | |
|
| %/ | |
| Primary | 0.2 (2) | |
| Secondary | 22.0 (222) | |
| Vocational | 3.8 (38) | |
| Tertiary | 74.0 (748) | |
|
| %/ | 14.9 (152) |
|
| %/ | 12.4 (126) |
Figure 1(A) The general level of trust (evaluated using 10-point Likert-type scale) in vaccines in relation to their technology and (B) trust in COVID-19 vaccines already approved and in use in Poland. The data is presented as the median and interquartile range. Different letters indicate statistically significant differences between vaccines (all p < 0.001, except (A) single protein vs. vector vaccine, for which p = 0.0013) demonstrated with the post-hoc Dunn’s test following the Kruskal-Wallis ANOVA (p < 0.001 for (A,B) comparisons).
The percentage of individuals in the studied group (n = 1020) aware of the particular vaccine type in relation to age, gender, education and place of living.
| Vaccine Type | Age | χ2 | Gender | χ2 | Education | χ2 | Place | χ2 | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| <50 | ≥50 | Male | Female | Tertiary | Other | Urban | Rural | |||||
| Inactivated | 81.4 | 62.5 | <0.001 | 73.2 | 76.8 | ns | 77.7 | 66.2 | 0.002 | 75.2 | 71.1 | ns |
| Attenuated | 84.3 | 67.4 | <0.001 | 78.5 | 77.8 | ns | 81.8 | 68.4 | <0.001 | 78.0 | 79.6 | ns |
| Single protein | 84.6 | 69.9 | <0.001 | 78.5 | 80.6 | ns | 81.7 | 72.8 | <0.001 | 79.1 | 80.3 | ns |
| mRNA | 95.6 | 94.3 | ns | 94.0 | 96.9 | ns | 96.0 | 92.7 | 0.011 | 94.9 | 96.1 | ns |
| Vector | 88.6 | 86.6 | ns | 85.8 | 91.0 | ns | 90.1 | 81.6 | <0.001 | 87.9 | 87.5 | ns |
| VLP | 77.1 | 69.6 | 0.034 | 74.8 | 73.2 | ns | 78.7 | 62.5 | <0.001 | 75.6 | 67.8 | ns |
ns—not significant.
The percentage of individuals in the studied group (n = 1020) with the level of trust of >5 (in 1–10 Likert-like scale) in particular vaccine type in relation to age, gender, education and place of living.
| Vaccine Type | Age | χ2 | Gender | χ2 | Education | χ2 | Place | χ2 | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| <50 | ≥50 | Male | Female | Tertiary | Other | Urban | Rural | |||||
| Inactivated | 76.9 | 41.2 | <0.001 | 69.7 | 63.9 | ns | 66.9 | 63.8 | ns | 66.5 | 64.8 | ns |
| Attenuated | 64.1 | 30.5 | <0.001 | 56.4 | 52.1 | ns | 55.1 | 49.5 | ns | 53.5 | 55.4 | ns |
| Single protein | 78.7 | 45.9 | <0.001 | 71.8 | 66.1 | ns | 70.2 | 62.6 | ns | 69.0 | 64.7 | ns |
| mRNA | 85.1 | 81.4 | ns | 85.5 | 82.7 | ns | 84.5 | 81.7 | ns | 82.9 | 89.0 | ns |
| Vector | 65.6 | 52.5 | <0.001 | 60.7 | 61.6 | ns | 64.2 | 51.3 | 0.002 | 61.5 | 58.6 | ns |
| VLP | 71.5 | 51.6 | <0.001 | 65.4 | 64.5 | ns | 67.9 | 54.1 | 0.003 | 64.6 | 66.0 | ns |
ns—not significant.
The level of trust (evaluated using 10-point Likert-type scale; median and interquartile range) in the COVID-19 vaccines not authorized in the European Union at the time of the study but in use in other world regions or in advanced stages of clinical trials (n = 1020).
| Vaccine | Type | Manufacturer | Not Known [%] | Level of Trust |
|---|---|---|---|---|
| Sputnik V | Vector | Gamaleya Research Institute, Russia | 17.0 | 2.0 (1.0–5.0) a |
| Ad26.COV2.S | Vector | Janssen/ | 13.9 | 5.0 (3.0–7.0) b |
| CVnCoV | mRNA | CureVac, Germany | 42.7 | 7.0 (4.0–8.0) c |
| NVX-CoV2373 | Single protein | Novavax, USA | 49.1 | 5.0 (3.0–7.0) b |
| CoronaVac | Inactivated | Sinovac Biotech, China | 55.4 | 4.0 (2.0–5.0) d |
| BBIBP-CorV | Inactivated | Sinopharm, China | 57.0 | 5.0 (2.0–5.0) d |
| Covaxin | Inactivated | Bharat Biotech, India | 63.2 | 5.0 (2.0–6.0) d |
| Ad5-nCoV | Vector | Cansino Biologics, China | 63.3 | 4.0 (2.0–5.0) d |
Different letters (a–d) indicate statistically significant differences between vaccines (all p < 0.001 except NVX-CoV2373 vs. CVnCoV for which p = 0.021). demonstrated with the post-hoc Dunn’s test following the Kruskal-Wallis ANOVA (p < 0.001).
Figure 2(A) The main sources of information regarding the COVID-19 vaccines and (B) primary reason of fear over the COVID-19 vaccination (n = 1020).