| Literature DB >> 35465376 |
Steward Mudenda1, Christabel Nang'andu Hikaambo1, Victor Daka2, Misheck Chileshe3, Ruth Lindizyani Mfune2, Martin Kampamba1, Maisa Kasanga4, Margaret Phiri5, Webrod Mufwambi1, Michelo Banda1, Maureen Nkandu Phiri1, Moses Mukosha1,6.
Abstract
Introduction: vaccinations against COVID-19 have been instituted to contain the pandemic. However, information about the acceptability of COVID-19 vaccines in Zambia is lacking. Therefore, the study assessed the prevalence and factors associated with COVID-19 vaccine acceptance among the general population in Zambia.Entities:
Keywords: COVID-19 vaccine; pandemic; vaccination; vaccine acceptability
Mesh:
Substances:
Year: 2022 PMID: 35465376 PMCID: PMC8994469 DOI: 10.11604/pamj.2022.41.112.31219
Source DB: PubMed Journal: Pan Afr Med J
characteristics of respondents (N=667)
| Characteristics | Frequency | Percentage |
|---|---|---|
|
| ||
| Female | 334 | 49.34 |
| Male | 343 | 50.66 |
|
| ||
| 18-23 | 111 | 16.40 |
| 24-29 | 187 | 27.62 |
| 30-35 | 162 | 23.93 |
| 36-41 | 98 | 14.48 |
| >41 | 119 | 17.58 |
|
| ||
| Divorced | 10 | 1.48 |
| Married | 336 | 49.63 |
| Single | 319 | 47.12 |
| Widowed | 12 | 1.77 |
|
| ||
| Secondary | 15 | 2.22 |
| Tertiary | 662 | 97.78 |
|
| ||
| Government employee | 411 | 60.71 |
| Entrepreneur | 40 | 5.91 |
| Student | 161 | 23.78 |
| Unemployed | 65 | 9.60 |
|
| ||
| Family/friends | 9 | 1.33 |
| Health workers | 71 | 10.49 |
| Internet | 285 | 42.10 |
| Radio | 21 | 3.10 |
| Television | 279 | 41.21 |
| Othera | 12 | 1.77 |
|
| ||
| Otherb | 23 | 3.40 |
| Christianity | 643 | 94.98 |
| Hinduism | 2 | 0.30 |
| Islam | 9 | 1.33 |
|
| ||
| Rural | 68 | 10.04 |
| Urban | 513 | 75.78 |
| Peri-urban | 96 | 14.18 |
Key: aNone official channels of communication, bConstitutes minor religions in Zambia
summary of responses on COVID-19 vaccine questions (N=677)
| Question | Frequency | Percentage |
|---|---|---|
|
| ||
| No | 1 | 0.15 |
| Yes | 676 | 99.85 |
|
| ||
| No | 451 | 66.62 |
| Yes | 226 | 33.38 |
|
| ||
| I don't know | 210 | 31.02 |
| No | 153 | 22.60 |
| Yes | 314 | 46.38 |
|
| ||
| I don't know | 184 | 27.18 |
| No | 378 | 55.83 |
| Yes | 115 | 16.99 |
|
| ||
| I don't know | 53 | 7.83 |
| No | 613 | 90.55 |
| Yes | 11 | 1.62 |
|
| ||
| COVID-19 vaccines are not effective | 32 | 7.19 |
| Concerned about the safety of the vaccine | 324 | 71.84 |
| Does not need vaccination | 15 | 3.33 |
| The COVID-19 outbreak in Zambia is not severe | 60 | 13.30 |
| Other reasons | 20 | 4.43 |
|
| ||
| I'm a frontline worker | 49 | 17.13 |
| My employer recommends everyone | 12 | 4.20 |
| To protect myself from COVID-19 | 38 | 13.29 |
| Other reasons | 187 | 65.38 |
acceptance of COVID-19 vaccines
| Factor | Acceptance | P-value | |
|---|---|---|---|
| No, n (%) | Yes, n (%) | ||
|
| 0.022a | ||
| Female | 237 (52.55) | 97 (42.92) | |
| Male | 214 (47.45) | 129 (57.08) | |
|
| 0.009a | ||
| 18-23 | 82 (18.18) | 29 (12.83) | |
| 24-29 | 133 (29.49) | 54 (23.89) | |
| 30-35 | 111 (24.61) | 51 (22.57) | |
| 36-41 | 53 (11.75) | 45 (19.91) | |
| >41 | 72 (15.96) | 47 (20.81) | |
|
| 0.161b | ||
| Divorced | 4 (0.89) | 6 (2.65) | |
| Married | 217 (48.12) | 119 (52.65) | |
| Single | 222 (49.22) | 97 (42.92) | |
| Widowed | 8 (1.77) | 4 (1.77) | |
|
| 0.997a | ||
| Secondary | 10 (2.22) | 5 (2.21) | |
| Tertiary | 441 (97.76) | 221 (97.79) | |
|
| 0.082a | ||
| Government employee | 261 (57.87) | 150 (66.37) | |
| Entrepreneur | 32 (7.10) | 8 (3.54) | |
| Student | 115 (25.50) | 46 (20.35) | |
| Unemployed | 43 (9.53) | 22 (9.73) | |
|
| 0.015a | ||
| Family/friends | 6 (1.33) | 3 (1.33) | |
| Health workers | 39 (8.65) | 32 (14.16) | |
| Internet | 207 (45.90) | 78 (34.51) | |
| Radio | 10 (2.22) | 5 (2.21) | |
| Television | 173 (38.36) | 106 (46.90) | |
| Otherc | 16 (3.55) | 2 (0.88) | |
|
| 0.038b | ||
| Otherd | 16 (3.55) | 7 (3.10) | |
| Christianity | 432 (95.79) | 211 (93.36) | |
| Hinduism | 0 | 2 (0.88) | |
| Islam | 3 (0.67) | 6 (2.65) | |
|
| 0.857a | ||
| Rural | 47 (10.42) | 21 (9.29) | |
| Urban | 339 (75.17) | 174 (76.99) | |
| Peri-urban | 65 (14.41) | 31 (13.72) | |
| Overall | N=451 (66.62%) | N=226 (33.38%) | |
Key: aPearson chi-square test; bFisher's exact test; cNone official channels of communication; dConstitutes minor religions in Zambia.
univariable and multivariable logistic regression of factors influencing COVID-19 vaccine acceptance
| Factor | Crude OR (95% CI)b | P-value | Adjusted OR (95% CI)c | P-value |
|---|---|---|---|---|
|
| ||||
| 18-23 | Ref | Ref | ||
| 24-29 | 1.15(0.68-1.95) | 0.609 | 0.79(0.37-1.69) | 0.544 |
| 30-35 | 1.30(0.76-2.22) | 0.340 | 1.00(0.39-2.58) | 0.999 |
| 36-41 | 2.40(1.34-4.29) | 0.003 | 2.56(0.93-7.09) | 0.070 |
| >41 | 1.85(1.05-3.23) | 0.032 | 2.77(1.03-7.48) |
|
|
| ||||
| Government employee | Ref | Ref | ||
| Entrepreneur | 0.44(0.20-0.97) | 0.042 | 0.24(0.07-0.79) |
|
| Student | 0.70(0.47-1.03) | 0.073 | 1.30(0.61-2.78) | 0.491 |
| Unemployed | 0.89(0.51-1.55) | 0.680 | 0.83(0.35-1.96) | 0.681 |
|
| ||||
| Othera | Ref | Ref | ||
| Christianity | 1.11(0.45-2.76) | 0.811 | 0.80(0.22-2.97) | 0.745 |
| Islam | 4.57(0.88-23.71) | 0.070 | 8.13(0.84-78.80) | 0.071 |
|
| ||||
| No | Ref | Ref | ||
| Yes | 20.51(10.40-40.45) | <0.001 | 11.13(5.31-23.35) |
|
| I don't know | 2.48(1.17-5.22) | 0.017 | 1.81(0.81-4.80) | 0.151 |
|
| ||||
| No | Ref | Ref | ||
| Yes | 40.88(22.09-75.65) | <0.001 | 22.85(11.49-45.49) |
|
| I don't know | 4.03(2.67-6.10) | <0.001 | 3.73(2.29-6.07 |
|
|
| ||||
| No | Ref | Ref | ||
| Yes | 5.08(1.33-19.35) | 0.003 | 2.56(0.41-15.95) | 0.314 |
| I don't know | 0.29(0.13-0.65) | <0.001 | 0.38(0.15-1.01) | 0.051 |
Key: OR-odds ratio, 95% CI- 95% confidence intervals, aConstitutes minor religions in Zambia bCalculated from univariable logistic regression of the effect of each factor on odds of vaccine acceptance. cCalculated from multivariable logistic regression of the combined effect of all factors (that had p<0.2 at bivariate analysis) on vaccine acceptance.