| Literature DB >> 34960195 |
Md Sazzadul Bari1, Md Jamal Hossain1, Foyez Ahmmed2, Md Moklesur Rahman Sarker1, Labony Khandokar3, Aperajita Paul Chaithy1, Farina Aziz4, Saikat Mitra5, Talha Bin Emran6, Md Saiful Islam7, Md Rabiul Islam4, Isa Naina Mohamed8.
Abstract
Vaccine willingness among the mass populace, as well as their proper knowledge and perception regarding vaccines and the vaccination process, may contribute extensively towards attaining their anticipated vaccination rates. The current study endeavored to ascertain the Bangladeshi population's knowledge, perception, and willingness towards COVID-19 vaccination. Relevant information was collected from 1201 adults aged 18 years or older by employing an online-based survey from 1 to 30 July 2021. Descriptive statistics, the chi-square (χ2) test, and a binary logistic regression analysis were applied in order to compare the extent of knowledge and perception prevalent among different demographic groups and correlate such prevalence with respective vaccine willingness. The participants expressed mean (± standard deviation) knowledge and perception scores of 6.48 ± 1.13 out of 8 and 5.37 ± 1.22 out of 7, respectively. A multivariate analysis confirmed the significant association (p < 0.05) of gender, age, and family income with the knowledge score, whereas age and knowledge level significantly influenced perception. Current living area, family income, and age were considerable contributors to COVID-19 vaccine willingness. Overall vaccine willingness was found to be significantly curtailed by inadequate knowledge (AOR 0.514, CI 95% 0.401-0.658, p < 0.001) and perception (AOR 0.710, CI 95% 0.548-0.920, p = 0.010) among the participants. All of the concerned authorities' efforts are warranted in order to improve public understanding, perception, and inclination towards vaccination.Entities:
Keywords: Bangladesh; COVID-19; mean knowledge score; mean perception score; vaccine willingness
Year: 2021 PMID: 34960195 PMCID: PMC8706921 DOI: 10.3390/vaccines9121449
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Demographic characteristics, and knowledge and perception scores (mean ± SD) towards COVID-19 vaccine among general population of Bangladesh (N = 1144).
| Variables | Categories | N | % | Knowledge | Perception | ||
|---|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | ||||
| Gender | Male | 585 | 51.1 | 6.62 | 1.13 | 5.09 | 0.96 |
| Female | 559 | 48.9 | 6.33 | 1.12 | 5.05 | 0.99 | |
| Age (years) | 18–24 | 797 | 69.7 | 6.44 | 1.07 | 5.15 | 1.00 |
| 25–40 | 169 | 14.8 | 6.49 | 1.27 | 4.76 | 0.98 | |
| above 40 | 178 | 15.6 | 6.65 | 1.26 | 5.03 | 0.82 | |
| Education (level of schooling) | SSC or below | 34 | 3.0 | 6.29 | 1.51 | 4.94 | 1.10 |
| HSC | 215 | 18.8 | 6.45 | 1.24 | 5.13 | 1.01 | |
| Bachelor | 756 | 66.1 | 6.45 | 1.11 | 5.09 | 0.98 | |
| Master’s or higher | 139 | 12.2 | 6.71 | 0.96 | 4.94 | 0.85 | |
| Current living area | Rural | 289 | 25.3 | 6.44 | 1.22 | 5.09 | 1.01 |
| Urban | 855 | 74.7 | 6.49 | 1.10 | 5.07 | 0.97 | |
| Monthly family income (BDT) | below 25,000 | 379 | 33.1 | 6.34 | 1.22 | 5.13 | 1.00 |
| 25,000–50,000 | 545 | 47.6 | 6.53 | 1.11 | 5.02 | 0.95 | |
| above 50,000 | 220 | 19.2 | 6.60 | 1.01 | 5.12 | 0.99 | |
Note: BDT = Bangladeshi Taka, 1 USD (United States dollar) = 85.81 BDT as of 25 November 2021. SSC = Secondary School Certificate, HSC = Higher Secondary Certificate.
Figure 1Percentage distributions of knowledge (good and poor), perception (good and poor), and willingness (yes and no) for taking COVID-19 vaccine among Bangladeshi population. All respondents’ scores were calculated through descriptive statistics and categorized into good knowledge and perception (if the participants’ score was greater than or equal to the mean value) and poor knowledge and perception (if the participants’ score was less than the mean value) [28].
Figure 2Comparative knowledge levels between willing and unwilling participants within different demographic categories expressed in terms of mean ± standard deviation.
Figure 3Comparative perception levels between willing and unwilling participants within different demographic categories expressed in terms of mean ± standard deviation.
Chi-square (χ2) test of demographic and socio-economic characteristics of Bangladeshi population who have good knowledge, good perception, and willingness of getting vaccine.
| Variables | Good Knowledge | Good Perception | Having Willingness | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |||||
| Overall | Categories | 675 | 59.0 | - | 364 | 31.8 | - | 588 | 51.4 | - |
| Gender | Male | 384 | 65.6 |
| 191 | 32.6 | 0.537 | 300 | 51.3 | 0.936 |
| Female | 291 | 52.1 | - | 173 | 30.9 | - | 288 | 51.5 | - | |
| Age (years) | 18–24 | 443 | 55.6 |
| 287 | 36.0 |
| 401 | 50.3 |
|
| 25–40 | 99 | 58.6 | - | 33 | 19.5 | - | 101 | 59.8 | - | |
| above 40 | 133 | 74.7 | - | 44 | 24.7 | - | 86 | 48.3 | - | |
| Highest education (level of schooling) | ≤SSC | 21 | 61.8 |
| 11 | 32.4 |
| 17 | 50.0 | 0.980 |
| HSC | 132 | 61.4 | - | 73 | 34.0 | - | 108 | 50.2 | - | |
| Bachelor | 425 | 56.2 | - | 249 | 32.9 | - | 391 | 51.7 | - | |
| Master’s or higher | 97 | 69.8 | - | 31 | 22.3 | - | 72 | 51.8 | - | |
| Current living area | Rural | 174 | 60.2 | 0.630 | 102 | 35.3 | 0.142 | 135 | 46.7 |
|
| Urban | 501 | 58.6 | - | 262 | 30.6 | 453 | 53.0 | |||
| Monthly family income (BDT) | below 25,000 | 208 | 54.9 | 0.134 | 134 | 35.4 | 0.193 | 201 | 53.0 | 0.374 |
| 25,000–50,000 | 334 | 61.3 | - | 163 | 29.9 | - | 283 | 51.9 | - | |
| above 50,000 | 133 | 60.5 | - | 67 | 30.5 | - | 104 | 47.3 | - | |
| Knowledge | Poor | - | - | - | 139 | 29.6 | 0.187 | 199 | 42.4 |
|
| Good | - | - | - | 225 | 33.3 | - | 389 | 57.6 | - | |
| Perception | Poor | - | - | - | - | - | - | 381 | 48.8 |
|
| Good | - | - | - | - | - | - | 207 | 56.9 | - | |
Logistic regression analysis of knowledge, perception, and willingness to get COVID-19 vaccine of general population of Bangladesh.
| Variables | Categories | Knowledge | Perception | Willingness | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | ||||||||
| Gender | Male vs. Female | 1.748 |
| 1.367 | 2.235 | 1.128 | 0.364 | 0.870 | 1.463 | 0.872 | 0.272 | 0.683 | 1.113 |
| Age (years) | 18–24 vs. above 40 | 0.467 |
| 0.306 | 0.714 | 1.944 |
| 1.256 | 3.008 | 1.129 | 0.544 | 0.764 | 1.668 |
| 25–40 vs. above 40 | 0.477 |
| 0.298 | 0.764 | 0.783 | 0.358 | 0.464 | 1.320 | 1.824 |
| 1.170 | 2.843 | |
| Highest Education (level of schooling) | ≤SSC vs. ≥Master’s | 0.799 | 0.588 | 0.355 | 1.799 | 1.320 | 0.521 | 0.565 | 3.080 | 1.027 | 0.946 | 0.471 | 2.239 |
| HSC vs. ≥Master’s | 0.936 | 0.796 | 0.565 | 1.550 | 1.152 | 0.607 | 0.672 | 1.975 | 1.043 | 0.861 | 0.649 | 1.676 | |
| Bachelor vs. ≥Master’s | 0.801 | 0.350 | 0.504 | 1.275 | 1.043 | 0.870 | 0.629 | 1.730 | 1.126 | 0.594 | 0.727 | 1.744 | |
| Current living area | Rural vs. Urban | 1.107 | 0.483 | 0.833 | 1.471 | 1.161 | 0.318 | 0.866 | 1.556 | 0.719 |
| 0.543 | 0.951 |
| Family income (BDT) | Below 25,000 vs. >50,000 | 0.665 |
| 0.465 | 0.951 | 1.303 | 0.166 | 0.896 | 1.895 | 1.413 |
| 0.993 | 2.012 |
| 25,000–50,000 vs. >50,000 | 0.980 | 0.904 | 0.704 | 1.363 | 0.942 | 0.739 | 0.665 | 1.335 | 1.273 | 0.142 | 0.922 | 1.759 | |
| Knowledge | Poor vs. Good | - | - | - | - | 0.789 |
| 0.606 | 1.027 | 0.514 |
| 0.401 | 0.658 |
| Perception | Poor vs. Good | - | - | - | - | - | - | - | - | 0.710 |
| 0.548 | 0.920 |
| Constant | 2.786 | 0.000 | - | - | 0.261 | 0.000 | - | - | 1.256 | 0.399 | - | - | |