| Literature DB >> 35767597 |
Joseph Agebase Awuni1, Michael Ayamga2, Gilbert Dagunga3.
Abstract
PURPOSE: The study examined Covid-19 vaccinations intentions among literate Ghanaians and how it is been influenced by vaccine mistrust and the fear of the unforeseen side effects. DESIGN/METHODOLOGY/APPROACH: We used cross sectional data collected from 223 respondents by means of questionnaire disseminated through social media from 16th to 20th April, 2021. Likert-scale questions were asked regarding the knowledge, attitudes and perceptions of literate Ghanaians towards COVID-19 vaccines. Kruskal-Wallis and sample t-test were performed to ascertain the differences in vaccination intentions between key socioeconomic variables. A pairwise correlation was performed to examine the relationship between vaccination intensions and fear of the unforeseen, mistrust of the vaccine and concerns of profiteering. Finally, a binary probit regression model was fitted to examine the predictive effect of key variables on respondent's vaccination intentions.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35767597 PMCID: PMC9242507 DOI: 10.1371/journal.pone.0270742
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
General characteristics of respondents.
| Variable | Frequency | Percentage (%) |
|---|---|---|
|
| ||
| Male | 70 | 68.61 |
| Female | 153 | 31.39 |
|
| ||
| Student | 65 | 29.15 |
| Teacher | 57 | 25.56 |
| Health worker | 39 | 17.48 |
| Lecturers | 34 | 15.25 |
| Others | 28 | 12.56 |
|
| ||
| Social Science | 89 | 39.91 |
| Agricultural Science | 50 | 22.42 |
| Health Science | 46 | 20.63 |
| Others | 38 | 17.04 |
|
| ||
| Undergraduate | 104 | 48.37 |
| Masters | 64 | 29.77 |
| Diploma | 34 | 15.81 |
| PhD | 13 | 6.05 |
|
| ||
| Most of the time | 188 | 84.3 |
| Sometimes | 35 | 15.69 |
Distribution of each knowledge item by gender difference.
| Variable | Total | Male | Female | chi2 | df | p-value | |||
|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||||
| Do you know about COVID-19 Vaccine? | |||||||||
| Yes | 216 | 97.3 | 147 | 96.08 | 69 | 100 | 2.768 | 2 | 0.0963 |
| No | 4 | 1.80 | 4 | 2.61 | 0 | 0 | |||
| Don’t Know | 2 | 0.9 | 2 | 1.31 | 0 | 0 | |||
| Do you know about the effectiveness of COVID-19 Vaccine? | |||||||||
| Yes | 100 | 45.2 | 74 | 48.68 | 26 | 37.68 | 0.3260 | 2 | 0.5682 |
| No | 88 | 39.82 | 51 | 33.55 | 37 | 53.62 | |||
| Don’t Know | 33 | 14.93 | 27 | 17.76 | 6 | 8.70 | |||
| It is dangerous to get vaccinated without knowing your COVID-19 status | |||||||||
| Yes | 107 | 47.98 | 68 | 44.44 | 39 | 55.71 | 0.3890 | 2 | 0.5328 |
| No | 71 | 31.84 | 58 | 37.91 | 13 | 18.57 | |||
| Don’t Know | 45 | 20.18 | 27 | 17.65 | 18 | 25.71 | |||
| Does vaccination increase allergic reactions? | |||||||||
| Yes | 53 | 23.98 | 38 | 25.17 | 15 | 21.43 | 0.519 | 2 | 0.4713 |
| No | 46 | 20.81 | 32 | 21.19 | 14 | 20 | |||
| Don’t Know | 122 | 55.2 | 81 | 53.64 | 41 | 58.57 | |||
| Does vaccination boost immune system against other infectious diseases? | |||||||||
| Yes | 63 | 28.38 | 44 | 28.95 | 19 | 27.14 | 0.713 | 2 | 0.3983 |
| No | 63 | 28.38 | 46 | 30.26 | 17 | 24.29 | |||
| Don’t Know | 96 | 43.24 | 62 | 40.79 | 34 | 48.57 | |||
* Represents 10% significance level.
Distribution of each attitude item by gender difference.
| Variable | Total | Male | Female | chi2 | df | p-value | |||
|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||||
| The COVID-19 vaccines are safe | |||||||||
| Disagree | 49 | 21.97 | 33 | 21.57 | 16 | 22.86 | 6.400 | 2 | 0.0114 |
| Indifferent | 107 | 47.98 | 66 | 43.14 | 41 | 58.57 | |||
| Agree | 67 | 30.04 | 54 | 35.29 | 13 | 18.57 | |||
| I am confident of being protected after vaccination | |||||||||
| Disagree | 63 | 28.38 | 32 | 21.05 | 31 | 44.29 | 2.794 | 2 | 0.0946 |
| Indifferent | 84 | 37.84 | 58 | 38.16 | 26 | 37.14 | |||
| Agree | 75 | 33.78 | 62 | 40.79 | 13 | 18.57 | |||
| I will take the COVID-19 vaccine without any hesitation if it is made available to me | |||||||||
| Disagree | 65 | 29.15 | 40 | 26.14 | 25 | 35.71 | 3.955 | 2 | 0.0467 |
| Indifferent | 63 | 28.25 | 40 | 26.14 | 23 | 32.86 | |||
| Agree | 95 | 42.6 | 73 | 47.71 | 22 | 31.43 | |||
| I will also encourage my family/friends/relatives to get vaccinated | |||||||||
| Disagree | 60 | 26.91 | 40 | 26.14 | 20 | 28.57 | 2.830 | 2 | 0.0925 |
| Indifferent | 69 | 30.94 | 43 | 28.10 | 26 | 37.14 | |||
| Agree | 94 | 42.15 | 70 | 45.75 | 24 | 34.29 | |||
| It is not possible to reduce the incidence of COVID-19 without being vaccinated | |||||||||
| Disagree | 91 | 40.8 | 61 | 39.60 | 30 | 42.86 | 0.468 | 2 | 0.4941 |
| Indifferent | 54 | 24.22 | 36 | 23.53 | 18 | 25.71 | |||
| Agree | 78 | 34.98 | 56 | 36.60 | 22 | 31.43 | |||
| It is not possible to get infected with COVID-19 after being vaccinated | |||||||||
| Disagree | 117 | 52.7 | 76 | 50 | 41 | 58.57 | 0.199 | 2 | 0.6556 |
| Indifferent | 63 | 28.38 | 44 | 28.95 | 19 | 27.14 | |||
| Agree | 42 | 18.92 | 32 | 21.05 | 10 | 14.29 | |||
*and *** represents 10% and 5% significance level respectively.
Distribution of each perception item by gender difference.
| Variable | Total | Male | Female | chi2 | df | p-value | |||
|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||||
| Do you think the COVID-19 vaccine may have side effects? | |||||||||
| Yes | 158 | 70.85 | 108 | 70.59 | 50 | 71.43 | 0.002 | 2 | 0.9656 |
| No | 6 | 2.69 | 6 | 3.92 | 0 | 0 | |||
| Maybe | 59 | 26.46 | 39 | 25.49 | 20 | 28.57 | |||
| Do you think that if everyone in the society will keep to the prevention measures, COVID-19 pandemic can be eradicated without vaccination? | |||||||||
| Yes | 124 | 55.61 | 81 | 52.94 | 43 | 61.43 | 1.070 | 2 | 0.3010 |
| No | 36 | 16.14 | 27 | 16.76 | 9 | 12.86 | |||
| Maybe | 63 | 28.25 | 45 | 28.49 | 18 | 25.71 | |||
| Do you think some people in Ghana are profiteering from the COVID-19 vaccines? | |||||||||
| Yes | 134 | 60.36 | 92 | 60.53 | 42 | 60 | 0.000 | 2 | 1.000 |
| No | 20 | 9.01 | 13 | 8.55 | 7 | 10 | |||
| Maybe | 68 | 30.63 | 47 | 30.92 | 21 | 30 | |||
| Do you think some authorities are promoting vaccinations for financial gain rather than people health? | |||||||||
| Yes | 116 | 52.25 | 71 | 46.41 | 45 | 65.22 | 6.469 | 2 | 0.0110** |
| No | 29 | 13.06 | 22 | 14.38 | 7 | 10.14 | |||
| Maybe | 77 | 34.68 | 60 | 39.22 | 17 | 24.64 | |||
Group difference analysis (bivariate) with knowledge, attitude and perception scores.
| Variable | Knowledge about Vaccine | t-value | Attitude towards vaccine | t-value | Perception about vaccine | t-value |
|---|---|---|---|---|---|---|
|
| 1.14(1.17) | 2.64(1.84) | 1.28(1.06) | |||
|
| -0.6702 | |||||
| Male | 1.30(1.17) | 2.84 (1.87) | 2.446** | 1.33(1.05) | 1.149 | |
| Female | 1.41 (1.17) | 2.20(1.71) | 1.15(1.08) | |||
|
| ||||||
| Diploma | 0.91 (1.16) | 1.9858** | 2.812 (1.77) | -1.226 | 1.14 (1.02) | -2.194** |
| Undergraduate | 1.406 (1.18 | 3.29 (1.99) | 1.65(1.20) | |||
| Masters | 1.23(1.09) | 0.6412 | 2.18 (1.68) | -3.775*** | 1.26 (1.04) | -0.630 |
| PhD | 1.45 (1.18) | 4.07 (1.89) | 1.46 (1.05) | |||
|
| ||||||
| Workers | 2.11(1.75) | -2.274** | 3.21(2.49) | -2.713*** | 1.29 (1.03) | 0.665 |
| Students | 1.18 (1.15) | 2.17(1.65) | 1.15(0.84) | |||
M = mean, SD = Standard deviation while ** and *** represents 5% and 1% significance level respectively.
Pairwise correlation between vaccination intentions, fear of the unforeseen, mistrust and concerns on profiteering.
| Variable | Vaccination Intentions | Fear of unforeseen | Mistrust | Concerns on Profiteering |
|---|---|---|---|---|
| Vaccination Intentions | 1 | - | - | - |
| Fear of the unforeseen | -0.0261 | 1 | - | - |
| Mistrust | -0.6222 | 0.0114 | 1 | - |
| Concerns on Profiteering | -0.1127 | 0.1221 | 0.0451 | 1 |
Definition of variables and measurement.
| Variables | Measurement |
|---|---|
| Age | Years |
| Gender | Dummy (1 if male, otherwise 0) |
| Location | Dummy (1 if northern Ghana, otherwise 0) |
| Health_Occ | Dummy (1 if health worker, otherwise 0) |
| Lecturer | Dummy (1 if yes, otherwise 0) |
| Student | Dummy (1 if student, otherwise 0) |
| Higher_Education | Dummy (1 if undergraduate and above, otherwise 0) |
| Internet_often | Dummy (1 if most often, otherwise 0) |
| Unforseen_future | Dummy (1 if respondent fear unforeseen future, otherwise 0) |
| mistrust | Dummy (1 if respondent mistrust vaccine, otherwise zero) |
| Profiteering | Dummy (1 if respondent perceive authorities are profiteering from the vaccines, otherwise 0) |
Predictive effect of perceptions about fear of the unforeseen, mistrust of vaccine and concerns of profiteering on vaccination intentions.
| Vaccination Intentions | Coef. | St.Err. | Marginal Effects (dy/dx) | Std.Err. |
|---|---|---|---|---|
| Age | .013 | .034 | 0.003 | 0.008 |
| Gender | -.528 | .41 | -0.127 | 0.096 |
| Location | .136 | .487 | 0.033 | 0.118 |
| Health_Occ | 1.185** | .582 | 0.286 | 0.128 |
| Lecturer | .646 | .609 | 0.160 | 0.149 |
| Student | .434 | .521 | 0.107 | 0.129 |
| Higher_Education | .386 | .474 | 0.095 | 0.117 |
| Internet_often | -.336 | .489 | -0.084 | 0.122 |
| Unforseen_future | -.253 | .388 | -0.063 | 0.096 |
| mistrust | -3.4 | .464 | -0.675 | 0.053 |
| Profiteering | -.501 | .37 | -0.123 | 0.091 |
| Constant | 2.009 | 1.31 | ||
| N = 223 Pseudo R2 = 0.3397 LR chi2 = 103.36 Prob(chi2) = 0.000 | ||||
** and *** represents 5% and 1% significance level respectively.