| Literature DB >> 35202444 |
Halimat Adedeji-Adenola1,2, Olubusola A Olugbake3, Shakirat A Adeosun2,3.
Abstract
BACKGROUND: Emerging variants of Coronavirus disease 2019 (COVID-19) has claimed over 3000 lives in Nigeria and vaccination remains a means of reducing the death toll. Despite ongoing efforts by the government to ensure COVID-19 vaccination of most residents to attain herd immunity, myths and beliefs have adversely shaped the perception of most Nigerians, challenging the uptake of COVID-19 vaccine. This study aimed to assess the factors influencing the awareness, perception, and willingness to receive COVID-19 vaccine among Nigerian adults.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35202444 PMCID: PMC8870459 DOI: 10.1371/journal.pone.0264371
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sociodemographic characteristics of respondents (N = 1058).
| Variables | Frequency | N (%) | |
|---|---|---|---|
| Gender | Female | 676 | 63.9 |
| Male | 382 | 36.1 | |
| Age- range | 18–29 | 193 | 18.2 |
| 30–39 | 325 | 30.7 | |
| 40–49 | 265 | 25.0 | |
| 50–59 | 208 | 19.7 | |
| 60–69 | 50 | 4.7 | |
| >70 | 17 | 1.6 | |
| Highest level of education | No formal education | 5 | 0.5 |
| Primary | 4 | 0.4 | |
| Secondary | 54 | 5.1 | |
| Diploma | 194 | 18.3 | |
| Bachelor’s degree | 429 | 40.5 | |
| Masters and above | 372 | 35.2 | |
| Religion | Christianity | 543 | 51.3 |
| Islam | 499 | 47.2 | |
| Traditional | 1 | 0.1 | |
| Unaffiliated | 15 | 1.4 | |
| Occupation | Health workers | 594 | 56.1 |
| Non-health workers | 464 | 43.9 | |
| Chronic condition | No | 970 | 91.7 |
| Yes | 88 | 8.3 | |
| Travel in last 12 months | No | 974 | 92.1 |
| No, but I will travel soon | 45 | 4.3 | |
| Yes | 39 | 3.7 | |
| Prior diagnosis of COVID-19 | No | 952 | 90.0 |
| Yes | 106 | 10.0 |
Description of outcome variable scores obtained by respondents (n = 1058).
| Outcome variables | Maximum obtainable scores | Scores received by respondents | Mean ± SD | Satisfactory n (%) | Unsatisfactory n (%) | |
|---|---|---|---|---|---|---|
| Minimum score | Maximum score | |||||
| Awareness | 4 | 0 | 4 | 2.9 ±0.8 | 740 (69.5%) | 318 (29.9%) |
| Perception | 50 | 14 | 50 | 35.0 ±6.5 | 566 (53.2%) | 492 (49.2%) |
Cut-off marks = mean scores i.e., awareness- 2.9, perception- 35.0. Satisfactory scores = scores > mean score obtained by respondents. SD- standard deviation.
Fig 1Respondents’ sources of information of first phase COVID-19 vaccination exercise in Nigeria.
Individual responses may have multiple sources of information. The total sources of COVID-19 vaccination information are not equal to the total or respondents.
Sociodemographic characteristics influencing the level of awareness of respondents towards the COVID-19 vaccination.
| Variable | Satisfactory (%) | Unsatisfactory (%) | cOR (95%CI) | P value | aOR (95%CI) | P value | |
|---|---|---|---|---|---|---|---|
| Gender | Female | 484 (45.7) | 192 (18.1) | 1.24(0.59–1.63) | 0.119 | 1.08(0.81–1.45) | 0.604 |
| Male | 256 (24.2) | 126 (11.9) | 1 | Ref | 1 | Ref | |
| Age range | 18–29 | 123 (11.6) | 70 (6.6) | 0.97(0.34–2.73) | 0.948 | 0.98(0.33–2.87) | 0.966 |
| 30–39 | 230 (21.7) | 95 (9.0) | 1.30(0.47–3.63) | 0.612 | 1.21(0.42–3.49) | 0.727 | |
| 40–49 | 184 (17.4) | 81 (7.7) | 1.25(0.45–3.48) | 0.675 | 1.26(0.44–3.66) | 0.666 | |
| 50–59 | 155 (14.7) | 53 (5.0) | 1.61(0.57–4.55) | 0.373 | 1.45(0.50–4.25) | 0.500 | |
| 60–69 | 37 (3.5) | 13 (1.2) | 1.55(0.48–5.05) | 0.464 | 2.08(0.60–7.21) | 0.250 | |
| >70 | 11 (1.0) | 6 (0.6) | 1 | Ref | 1 | Ref | |
| Religion | Christianity | 387 (36.6) | 156 (14.7) | 6.82(2.14–21.75) |
| 6.36(1.91–21.20) |
|
| Traditional | 1 (0.1) | 0 (0.0) | λ | 1.000 | λ | 1.000 | |
| Islam | 348 (32.9) | 151 (14.3) | 6.34(1.99–20.22) |
| 7.55(2.27–25.16) |
| |
| Unaffiliated | 4 (0.4) | 11 (1.0) | 1 | Ref | 1 | Ref | |
| Education | No formal education | 0 (0.0) | 5 (0.5) | 0.00(0.00) | 0.999 | 0.00(0.00) | 0.999 |
| Primary | 3 (0.3) | 1 (0.1) | 1.80(1.01–3.20) | 0.461 | 1.16(0.62–2.16) | 0.661 | |
| Secondary | 30 (2.8) | 24 (2.3) | 1 | Ref | 1 | Ref | |
| Diploma | 161 (15.2) | 33 (3.1) | 3.90(2.03–7.51) |
| 2.24(1.09–4.59) |
| |
| Bachelor’s degree | 297 (28.1) | 132 912.5) | 1.62(0.91–2.89) |
| 1.01(0.52–1.95) | 0.652 | |
| Masters and above | 249 (23.5) | 123 (11.6) | 2.40(0.23–24.57) | 0.102 | 1.72(1.54–19.06) | 0.984 | |
| Occupation | Health worker | 459 (43.4) | 136 (12.9) | 2.19(1.67–2.86) |
| 1.87(1.39–2.53) |
|
| Non-health worker | 281 (26.6) | 182 (17.2) | 1 | Ref | 1 | Ref | |
| Chronic condition | No | 671 (63.4) | 299 (28.3) | 0.62(0.37–1.05) | 0.073 | 0.65(0.38–1.13) | 0.128 |
| Yes | 69 (6.5) | 19 (1.8) | 1 | Ref | 1 | Ref | |
| Prior diagnosis of COVID-19 | No | 654 (61.8) | 298 (28.2) | 0.51(0.31–0.85) |
| 0.56(0.33–0.95) |
|
| Yes | 86 (8.1) | 20 (1.9) | 1 | Ref | 1 | Ref | |
cOR = crude odds ratio, aOR = adjusted odds ratio, CI = confidence interval, λ = not included in comparison due to small number
* = statistically significant.
Associated sociodemographic factors influencing the perception of COVID-19 vaccination.
| Variable | Satisfactory (%) | Unsatisfactory (%) | cOR (95%CI) | P value | aOR (95%CI) | P value | |
|---|---|---|---|---|---|---|---|
| Gender | Female | 362 (34.2) | 314 (29.7) | 1.00(0.78–1.29) | 0.963 | 0.82(0.62–1.08) | 0.157 |
| Male | 204 (19.3) | 178 (16.8) | 1 | Ref | 1 | Ref | |
| Age range | 18–29 | 71 (6.7) | 122 (11.5) | 0.68(0.25–1.84) | 0.446 | 0.66(0.23–1.89) | 0.442 |
| 30–39 | 166 (15.7) | 159 (15.0) | 1.14(0.43–3.03) | 0.794 | 0.90(0.32–2.51) | 0.842 | |
| 40–49 | 146 (13.8) | 119 (11.2) | 1.39(0.52–3.71) | 0.512 | 1.19(0.43–3.33) | 0.742 | |
| 50–59 | 142 (13.4) | 66 (6.2) | 2.44(0.90–6.60) | 0.080 | 1.83(0.65–5.19) | 0.256 | |
| 60–69 | 33 (3.1) | 17 (1.6) | 2.18(0.71–6.68) | 0.171 | 2.53(0.78–8.25) | 0.123 | |
| >70 | 8 (0.8) | 9 (0.9) | 1 | Ref | 1 | Ref | |
| Religion | Christianity | 323 (30.5) | 220 (20.8) | 2.20(0.77–6.28) | 0.139 | 1.97(0.65–5.99) | 0.230 |
| Traditional | 0 (0.0) | 1 (0.1) |
| 1.000 |
| 1.000 | |
| Islam | 237 (22.4) | 262 (24.8) | 1.36(0.48–3.87) | 0.568 | 1.63(0.54–4.93) | 0.387 | |
| Unaffiliated | 6 (0.6) | 9 (0.9) | 1 | Ref | 1 | Ref | |
| Education | No formal education | 0 (0.0) | 5 (0.5) |
| 0.999 |
| 0.999 |
| Primary | 2 (0.2) | 2 (0.2) | 2.52(1.37–4.61) | 0.455 | 1.04(0.53–2.03) | 0.786 | |
| Secondary | 17 (1.6) | 37 (3.5) | 1 | Ref | 1 | Ref | |
| Diploma | 113 (10.7) | 81 (7.7) | 3.04(1.60–5.77) |
| 1.07(0.52–2.18) | 0.862 | |
| Bachelor’s degree | 230 (21.7) | 199 (18.8) | 2.64(1.44–4.86) |
| 1.00(0.50–1.99) | 0.907 | |
| Masters and above | 204 (19.3) | 168 (15.9) | 2.18(0.28–16.78) |
| 0.74(0.09–6.43) | 0.990 | |
| Occupation | Health worker | 392 (37.1) | 203 (19.2) | 3.21(2.49–4.13) |
| 2.86(2.15–3.79) |
|
| Non-health worker | 174 (16.4) | 289 (27.3) | 1 | Ref | 1 | Ref | |
| Chronic condition | No | 515 (48.7) | 455 (43.0) | 0.82(0.53–1.28) | 0.382 | 1.03(0.63–1.68) | 0.897 |
| Yes | 51 (4.8) | 37 (3.5) | 1 | Ref | 1 | Ref | |
| Prior diagnosis of COVID-19 | No | 495 (46.8) | 457 (43.2) | 0.53(0.35–0.82) |
| 0.59(0.38–0.92) |
|
| Yes | 71 (6.7) | 35 (3.3) | 1 | Ref | 1 | Ref | |
cOR = crude odds ratio, aOR = adjusted odds ratio, CI = confidence interval, λ = not included in comparison due to small number
* = statistically significant.
Associated sociodemographic factors influencing the willingness to receive the COVID-19 vaccine.
| Variable | Yes (%) | No (%) | cOR (95%CI) | P value | aOR (95%CI) | P value | |
|---|---|---|---|---|---|---|---|
| Gender | Female | 548 (51.8) | 128 (12.1) | 1.01(0.73–1.39) | 0.944 | 0.74(0.52–1.07) | 0.107 |
| Male | 309 (29.2) | 73 (6.9) | 1 | Ref | 1 | Ref | |
| Age range | 18–29 | 148 (14.0) | 45 (4.3) | 0.99(0.31–3.19) | 0.987 | 0.81(0.22–2.96) | 0.748 |
| 30–39 | 262 (24.6) | 63 (6.0) | 1.29(0.41–4.09) | 0.665 | 0.78(0.22–2.80) | 0.704 | |
| 40–49 | 210 (19.8) | 55 (5.2) | 1.18(0.37–3.76) | 0.779 | 0.86(0.24–3.07) | 0.814 | |
| 50–59 | 181 (17.1) | 27 (2.6) | 2.07(0.63–6.83) | 0.230 | 1.34(0.36–4.97) | 0.659 | |
| 60–69 | 43 (4.1) | 7 (0.7) | 1.89(0.48–7.89) | 0.365 | 2.48(0.52–11.85) | 0.255 | |
| >70 | 13 (1.2) | 4 (0.4) | 1 | Ref | 1 | Ref | |
| Religion | Christianity | 464 (43.9) | 79 (7.5) | 0.34(0.11–1.02) | 0.055 | 2.93(0.98–8.82) | 0.124 |
| Traditional | 0 (0.0) | 1 (0.1) |
| 1.000 |
| 1.000 | |
| Islam | 383 (36.2) | 116 (11.0) | 1.65(0.55–4.93) | 0.369 | 2.12(0.64–6.96) | 0.218 | |
| Unaffiliated | 10 (0.9) | 5 (0.5) | 1 | Ref | 1 | Ref | |
| Education | No formal education | 0 (0.0) | 5 (0.5) |
| 0.999 |
| 0.999 |
| Primary | 2 (0.2) | 2 (0.2) | 2.99(1.61–5.53) | 0.557 | 1.48(0.75–2.91) | 0.154 | |
| Secondary | 35 (3.3) | 19 (1.8) | 1 | Ref | 1 | Ref | |
| Diploma | 169 (16.0) | 25 (2.4) | 3.67(1.83–7.38) |
| 1.22(0.55–2.71) | 0.619 | |
| Bachelor’s degree | 363 (34.3) | 66 (6.2) | 1.86(1.01–3.42) |
| 0.83(0.40–1.72) | 0.262 | |
| Masters and above | 288 (27.2) | 84 (7.9) | 0.54(0.71–4.17) |
| 0.20(0.21–1.84) | 0.621 | |
| Occupation | Health worker | 545 (51.5) | 50 (4.7) | 5.28(3.72–7.48) |
| 4.83(3.28–7.11) |
|
| Non-health worker | 312 (29.5) | 151 (14.3) | 1 | Ref | 1 | Ref | |
| Chronic condition | No | 787 (74.4) | 183 (17.3) | 1.11(0.64–1.90) | 0.716 | 1.23(0.67–2.27) | 0.502 |
| Yes | 70 (6.6) | 18 (1.7) | 1 | Ref | 1 | Ref | |
| Prior diagnosis of | No | 756 (71.5) | 196 (18.5) | 0.19(0.08–0.48) |
| 0.21(0.08–0.54) |
|
| COVID-19 | Yes | 101 (9.5) | 5 (0.5) | 1 | Ref | 1 | Ref |
cOR = crude odds ratio, aOR = adjusted odds ratio, CI = confidence interval, λ = not included in comparison due to small number
* = statistically significant.