| Literature DB >> 35759475 |
Md Mostafizur Rahman1, Musabber Ali Chisty2, Md Ashraful Alam3, Mohammed Sadman Sakib1, Masrur Abdul Quader1, Ifta Alam Shobuj1, Md Abdul Halim1, Farzana Rahman4.
Abstract
Global vaccination coverage is an urgent need to recover the recent pandemic COVID-19. However, people are concerned about the safety and efficacy of this vaccination program. Thus, it has become crucial to examine the knowledge, attitude, and hesitancy towards the vaccine. An online cross-sectional survey was conducted among university students of Bangladesh. Total of 449 university students participated. Most of these students used the internet (34.74%), social media (33.41%), and electronic media (25.61%) as a source of COVID-19 vaccine information. Overall, 58.13% and 64.81% of university students reported positive knowledge and attitude towards the COVID-19 vaccine. 54.34% of these students agreed that the COVID-19 vaccine is safe and effective. 43.88% believed that the vaccine could stop the pandemic. The Spearman's Rank correlation determined the positive correlation between knowledge and attitude. The negative correlation was determined between positive knowledge and hesitancy, and positive attitude and hesitancy. University students with positive knowledge and attitude showed lower hesitancy. Multiple logistic regression analyses determined the university type and degree major as the predictors of knowledge, whereas only degree major was the predictor of attitudes. 26.06% of the study population showed their hesitancy towards the vaccine. University type and degree major were also determined as predictors of this hesitancy. They rated fear of side effects (87.18%) and lack of information (70.94%) as the most reasons for the hesitancy. The findings from this study can aid the ongoing and future COVID-19 vaccination plan for university students. The national and international authorities can have substantial information for a successful inoculation campaign.Entities:
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Year: 2022 PMID: 35759475 PMCID: PMC9236250 DOI: 10.1371/journal.pone.0270684
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Knowledge towards COVID-19 vaccination (n = 449).
| Statements | Positive Responses | |
|---|---|---|
| 95% CI | ||
| COVID-19 vaccine is effective against the infection | 256 (57.02) | 53.4–61.6 |
| Health behaviour is required to follow even after vaccination | 395 (87.97) | 84.9–90.9 |
| Vaccinated can help from serious illness due to the COVID-19 | 309 (68.82) | 64.5–73.1 |
| Full vaccination may help to do normal activities | 313 (69.71) | 65.4–73.9 |
| Bangladeshi can register for COVID-19 vaccination through a website | 375 (83.52) | 80.0–86.9 |
| COVID-19 vaccine may have some side effects like other vaccines | 394 (87.75) | 84.7–90.7 |
| If there is any side effect due to the COVID-19 vaccination, they normally go in a few days | 325 (72.38) | 68.2–76.5 |
| COVID-19 vaccine can cause infertility | 264 (58.80) | 60.4–69.2 |
| COVID-19 vaccine can cause long-term physical problems | 248 (55.23) | 59.2–68.2 |
aCI = Confidence Intervals.
Attitude towards COVID-19 vaccination (n = 449).
| Statements | Positive Attitudes | |
|---|---|---|
| 95% CI | ||
| Concerned about the COVID-19 | 385 (85.75) | 82.5–88.9 |
| COVID-19 vaccine is safe and effective | 244 (54.34) | 49.7–58.9 |
| I need to take the vaccine as soon as possible if I am eligible | 295 (65.70) | 61.3–70.1 |
| I should aware and motivate my family members and neighbours to take the vaccine | 289 (64.37) | 59.9–68.8 |
| COVID-19 vaccination will help us to stop the pandemic | 197 (43.88) | 39.3–48.5 |
aCI = Confidence Intervals.
Reasons of hesitancy towards COVID-19 vaccine (n = 117).
| Statements | Hesitated | |
|---|---|---|
| 95% CI | ||
| Fear of ineligibility | 46 (39.32) | 30.3–48.3 |
| Lack of information | 83 (70.94) | 62.6–79.3 |
| Fear of side effects | 102 (87.18) | 81.0–93.3 |
| Probable cost of vaccination | 07 (5.98) | 1.6–10.3 |
| Against religious beliefs | 03 (2.56) | -0.3–5.4 |
| Other reasons | 53 (45.30) | 36.1–54.4 |
aCI = Confidence Intervals.
Socio-demographic and academic information (n = 449).
| Features |
| % |
|---|---|---|
| 1. Gender | ||
| • Male | 232 | 51.67 |
| • Female | 217 | 48.33 |
| 2. Marital status | ||
| • Married | 31 | 6.90 |
| • Unmarried | 418 | 93.10 |
| 3. Living with family | ||
| • Yes | 406 | 90.42 |
| • No | 43 | 9.58 |
| 4. Current accommodation | ||
| • Dhaka city | 332 | 73.94 |
| • Outside Dhaka city | 117 | 26.06 |
| 5. University type | ||
| • Public | 286 | 63.70 |
| • Private | 163 | 36.30 |
| 6. University year | ||
| • 1st and 2nd year | 117 | 26.06 |
| • 3rd year | 200 | 44.54 |
| • 4th year and Masters | 132 | 29.40 |
| 7. Degree Major | ||
| • Arts and Social Science | 121 | 26.95 |
| • Business and Economics | 69 | 15.37 |
| • Science and Engineering | 141 | 31.40 |
| • Security and Strategic Studies | 57 | 12.69 |
| • Medical Studies | 61 | 13.59 |
| 8. COVID-19 positive before | ||
| • Yes | 97 | 21.60 |
| • No | 352 | 78.40 |
Most used sources of COVID-19 related information.
| Sources of COVID-19 related information | |
|---|---|
| Internet | 156 (34.74) |
| Social media | 150 (33.41) |
| Electronic media (TV, Radio) | 115 (25.61) |
| University | 18 (4.01) |
| People (community, family members) | 6 (1.30) |
| Print media | 4 (0.87) |
Association in knowledge, attitude, and hesitancy domain towards COVID-19 vaccine (n = 449).
| Association | r-value | OR |
|---|---|---|
| Knowledge vs Attitude | 0.452 | Positive Knowledge 7.60 (4.94–11.85) |
| Knowledge vs Hesitancy | -0.453 | Positive Knowledge 0.10 (0.06–0.17) |
| Attitude vs Hesitancy | -0.338 | Positive Attitude 0.20 (0.13–0.32) |
*p<0.05
**p<0.01
***p<0.001.
br-value = correlation coefficient.
cOR = Odds Ratio.
Predictors of knowledge and attitude towards COVID-19 vaccine (n = 449).
| Predictors | Knowledge | Attitude | ||
|---|---|---|---|---|
| OR | aOR | OR | aOR | |
| 1. Gender | ||||
| • Female | 1 | 1 | ||
| • Male | 1.00 (0.69–1.46) | 0.91 (0.62–1.34) | ||
| 2. Marital status | ||||
| • Married | 1 | 1 | ||
| • Unmarried | 0.45 (0.19–1.01) | 1.36 (0.63–2.83) | ||
| 3. Living with family | ||||
| • No | 1 | 1 | ||
| • Yes | 1.67 (0.89–3.18) | 1.10 (0.56–2.09) | ||
| 4. Current accommodation | ||||
| • Dhaka city | 1 | 1 | ||
| • Outside Dhaka city | 0.95 (0.62–1.46) | 1.18 (0.76–1.85) | ||
| 5. University type | ||||
| • Private | 1 | 1 | ||
| • Public | 0.19 (0.12–0.30) | 0.35 (0.19–0.63) | 0.64 (0.42–0.96) * | |
| 6. University year | ||||
| • 1st and 2nd year | 1 | 1 | ||
| • 3rd year | 1.57 (0.99–2.49) | 1.07 (0.67–1.72) | ||
| • 4th year and Masters | 1.46 (0.89–2.43) | 1.29 (0.76–2.18) | ||
| 7. Degree Major | ||||
| • Arts and Social Science | 1 | 1 | ||
| • Business and Economics | 2.39 (1.31–4.41) | 1.28 (0.62–2.61) | 0.58 (0.32–1.07) | 0.53 (0.27–1.06) |
| • Science and Engineering | 5.69 (3.36–9.81) | 4.26 (2.46–7.49) | 1.01 (0.60–1.71) | 0.97 (0.56–1.68) |
| • Security and Strategic Studies | 1.05 (0.54–2.03) | 1.13 (0.57–2.18) | 0.32 (0.16–0.61) | 0.32 (0.17–0.62) |
| • Medical Studies | 27.80 (1052–96.45) | 12.79 (4.40–47.08) | 2.75 (1.27–6.47) | 2.45 (1.01–6.35) |
| 8. COVID-19 positive before | ||||
| • No | 1 | 1 | ||
| • Yes | 1.29(0.81–2.06) | 0.95(0.60–1.53) | ||
*p<0.05
**p<0.01
***p<0.001.
cOR = Odds Ratio.
daOR = Adjusted Odds Ratio.
Predictors of hesitancy towards COVID-19 vaccine (n = 449).
| Predictors | Hesitancy | |
|---|---|---|
| OR | aOR | |
| 1. Gender | ||
| • Female | 1 | |
| • Male | 1.02 (0.67–1.56) | |
| 2. Marital status | ||
| • Married | 1 | |
| • Unmarried | 2.50 (0.95–8.60) | |
| 3. Living with family | ||
| • No | 1 | |
| • Yes | 1.18 (0.58–2.60) | |
| 4. Current accommodation | ||
| • Dhaka city | 1 | |
| • Outside Dhaka city | 0.81 (0.49–1.31) | |
| 5. University type | ||
| • Private | 1 | |
| • Public | 4.62 (2.70–8.31) | 2.29 (1.19–4.55) |
| 6. University year | ||
| • 1st and 2nd year | 1 | |
| • 3rd year | 0.53 (0.32–0.88) | |
| • 4th year and Masters | 0.67 (0.38–1.15) | |
| 7. Degree Major | ||
| • Arts and Social Science | 1 | |
| • Business and Economics | 0.18 (0.08–0.38) | 0.30 (0.12–0.67) |
| • Science and Engineering | 0.29 (0.17–0.50) | 0.37 (0.20–0.68) |
| • Security and Strategic Studies | 0.42 (0.21–0.82) | 0.43 (0.21–0.84) |
| • Medical Studies | 0.06 (0.01–0.16) | 0.10 (0.02–0.35) |
| 8. COVID-19 positive before | ||
| • No | 1 | |
| • Yes | 0.58 (0.32–1.00) | |
*p<0.05
**p<0.01
***p<0.001.
cOR = Odds Ratio.
daOR = Adjusted Odds Ratio.