Table 6.
Multinomial logistic regression showing the factors influencing the vaccine acceptability (N = 900)
| Characteristics of participants | Vaccine acceptance (yes) = Reference |
|||
|---|---|---|---|---|
| Vaccine resistant (no) |
Vaccine hesitant (not sure) |
|||
| AOR (95% CI) | P-value | AOR (95% CI) | P-value | |
| Age (Years) | ||||
| 18 to 24 | 1.08 (0.71 to 2.15) | .28 | 1.13 (1.02 to 2.12) | .14 |
| More than 24 | 0.92 (0.60 to 1.94) | .17 | 1.62 (1.11 to 3.24) | .22 |
| Sex | ||||
| Male | 0.72 (0.23 to 1.78) | .62 | 0.94 (0.64 to 1.38) | .75 |
| Female | 1.87 (1.23 to 3.26) | .02** | 1.94 (1.43 to 2.89) | .00*** |
| Economic class | ||||
| Low income | 1.67 (1.17 to 5.30) | .09 | 1.67 (0.56 to 3.88) | .00*** |
| Lower-middle income | 1.39 (0.17 to 2.92) | .13 | 1.44 (0.79 to 3.65) | .22 |
| Upper-middle income | 3.58 (0.13 to 5.23) | .17 | 1.21 (0.78 to 1.83) | .54 |
| High income | 3.43 (0.11 to 4.34) | .25 | 1.39 (0.79 to 1.89) | .56 |
| Living area | ||||
| Urban | 0.77 (0.52 to 1.49) | .48 | 1.22 (0.81 to 1.89) | .21 |
| Rural | 1.92 (1.03 to 3.82) | .15 | 2.34 (1.28 to 4.56) | .10 |
| Semi-urban | 1.25 (0.81 to 1.95) | .11 | 1.09 (0.65 to 2.23) | .17 |
| Participants category | ||||
| Undergraduate | 0.72 (0.51 to 1.00) | .67 | 0.89 (0.61 to 1.22) | .59 |
| Postgraduate | 0.60 (0.36 to 1.02) | .72 | 0.55 (0.28 to 0.99) | .82 |
| COVID-19 affected | ||||
| No | 2.18 (1.11 to 5.54) | .04** | 2.23 (1.11 to 4.94) | .05** |
| Yes | 0.35 (0.16 to 1.09) | .06 | 0.63 (0.20 to 1.98) | .44 |
| Did not test | 1.44 (0.89 to 2.37) | .12 | 0.83 (0.54 to 1.27) | .29 |
| Knowledge about the COVID-19 vaccine | ||||
| Inadequate | 1.46 (0.82 to 2.59) | .00*** | 2.36 (1.03 to 4.40) | .00*** |
| Adequate | 1.26 (0.59 to 2.17) | .16 | 1.17 (0.67 to 2.04) | .18 |
| Perception of the COVID-19 vaccine | ||||
| Positive | 1.05 (0.53 to 1.65) | 1.23 (0.77 to 1.88) | ||
| Negative | 4.09 (1.19 to 10.48) | .04** | 5.31 (3.09 to 11.92) | .05** |
| Attitude toward COVID-19 vaccine | ||||
| Positive | 1.18 (0.62 to 2.17) | 1.77 (0.49 to 6.39) | ||
| Negative | 2.23 (1.14 to 8.09) | .00*** | 2.82 (1.04 to 7.78) | .02** |
***, and ** indicates significance at 1%, and 5% level, respectively. Multinomial logistic regression was employed to determine the significant factor influencing the vaccine-taking decision (dependent variable). The respondents who were not sure to take vaccine were termed as vaccine-hesitant, while those who refused were denoted as vaccine-resistant. The reference category was vaccine acceptance (respondents who are willing to be vaccinated). All predictors in the model are adjusted for all other covariates. AOR: adjusted odds ratios, 95% CI: 95% confidence intervals for the adjusted odds ratios.