| Literature DB >> 34247946 |
Abstract
BACKGROUND: Herd immunity through vaccination is the target of public health interventions against COVID-19, but vaccine refusal or hesitancy is one of the global threats that make achievement of community immunity very difficult. The aim of this study was to determine negative attitudes and intentions and their predictors towards COVID-19 vaccines.Entities:
Keywords: COVID-19 vaccine; Egyptians; Intentions; Negative attitude
Year: 2021 PMID: 34247946 PMCID: PMC8253692 DOI: 10.1016/j.jiph.2021.06.019
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
Distribution of socio-demographic, health characteristics and attitudes towards the vaccine.
| Variables | Frequency | % | |
|---|---|---|---|
| Age 29.35 ± 10.78 | 18–28 | 557 | 55.1 |
| 29–39 | 280 | 27.7 | |
| 40–50 | 131 | 13.0 | |
| 50+ | 43 | 4.3 | |
| Gender | Male | 417 | 41.2 |
| Female | 594 | 58.8 | |
| Residence | Urban | 549 | 54.3 |
| Rural | 462 | 45.7 | |
| Education | Read and write/primary education | 47 | 4.6 |
| Preparatory education | 22 | 2.2 | |
| Secondary education | 232 | 22.9 | |
| University education | 500 | 49.5 | |
| Post graduate | 210 | 20.8 | |
| Occupation | Student | 418 | 41.3 |
| Not working | 24 | 2.4 | |
| House wife | 83 | 8.2 | |
| Private sector | 81 | 8.0 | |
| Governmental sector | 311 | 30.8 | |
| Others | 72 | 7.1 | |
| Marital status | Single | 505 | 50.0 |
| Married | 479 | 47.4 | |
| Others (divorced–separated–widowed) | 27 | 2.7 | |
| Smoking history | Current smoker | 88 | 8.7 |
| Ex-smoker | 47 | 4.6 | |
| Non smoker | 876 | 86.6 | |
| Chronic disease | No chronic disease | 784 | 77.5 |
| Asthma or respiratory disease | 55 | 5.4 | |
| Cardiac disease | 14 | 1.4 | |
| Hypertension | 27 | 2.7 | |
| Diabetes | 27 | 2.7 | |
| Cancer | 3 | .3 | |
| Kidney or liver disease | 5 | .5 | |
| Autoimmune disease | 15 | 1.5 | |
| Overweight/obesity | 38 | 3.8 | |
| Perceived health status | Poor health | 22 | 2.2 |
| Medium | 107 | 10.6 | |
| Good | 307 | 30.4 | |
| Very good | 391 | 38.7 | |
| Excellent | 184 | 18.2 |
Distribution of socio-demographic, health characteristics and attitudes towards the vaccine.
| Variables | Frequency | % | |
|---|---|---|---|
| Hypersensitivity to drugs or foods | Yes | 120 | 11.9 |
| No | 640 | 63.3 | |
| Don’t know | 245 | 24.2 | |
| Have had flu vaccination | Never | 663 | 65.6 |
| Yes (long time ago) | 225 | 22.3 | |
| Yes last year | 32 | 3.2 | |
| Yes this year | 61 | 6.0 | |
| Yes every year | 30 | 3.0 | |
| Had COVID 19 | Yes | 168 | 16.6 |
| No | 601 | 59.4 | |
| Don’t know | 242 | 23.9 | |
| Family member had COVID 19 | Yes | 378 | 37.4 |
| No | 489 | 48.4 | |
| Don’t know | 144 | 14.2 | |
| Does ministry of health provide adequate information about COVID-19 vaccines? | Yes | 224 | 22.2 |
| No | 584 | 57.8 | |
| Don’t know | 203 | 20.1 | |
| Intentions towards COVID19 vaccine | Vaccine acceptance | 259 | 25.6 |
| Vaccine hesitancy | 543 | 53.7 | |
| Vaccine non-acceptance | 209 | 20.7 | |
| COVID 19 vaccine preferences | Chinese vaccine | 70 | 6.9 |
| Pfizer vaccine | 274 | 27.1 | |
| Moderna vaccine | 14 | 1.4 | |
| AstraZeneca | 46 | 4.5 | |
| Russian vaccine | 20 | 2.0 | |
| don’t know | 587 | 58.1 | |
| Mistrust of vaccine benefit mean ± SD (2.98 ± 1.01) | Low | 205 | 20.3 |
| Moderate | 682 | 67.5 | |
| High | 124 | 12.3 | |
| Worries about unforeseen side effects mean ± SD (4.02 ± 1.30) | Low | 80 | 7.9 |
| Moderate | 407 | 40.3 | |
| High | 524 | 51.8 | |
| Concerns about commercial profiteering mean ± SD (3.15 ± 1.13) | Low | 189 | 18.7 |
| Moderate | 607 | 60.0 | |
| High | 215 | 21.3 | |
| Preference of natural immunity mean ± SD (3.26 ± 1.08) | Low | 154 | 15.2 |
| Moderate | 633 | 62.6 | |
| High | 224 | 22.2 |
Fig. 1Participants negative attitudes towards COVID-19 vaccines.
Association between socio-demographic, health related factors and worries about unforeseen effects of the vaccines.
| Sociodemographic and health variables | Level of worries about unforeseen side effects | p | |||
|---|---|---|---|---|---|
| Low | Intermediate | High | |||
| Age groups | 18–28 | 59(5.8%) | 220(21.8%) | 278(27.5%) | .006** |
| 29–39 | 13(1.3%) | 116(11.5%) | 151(14.9%) | ||
| 40–50 | 6(.6%) | 60(5.9%) | 65(6.4%) | ||
| 50+ | 2(.2%) | 11(1.1%) | 30(.3%) | ||
| Sex | Male | 42(4.2%) | 175(17.3%) | 200(19.8%) | .034* |
| Female | 38(3.8%) | 232(22.9%) | 324(32.0%) | ||
| Residence | Urban | 30(3.0%) | 200(19.8%) | 319(31.6%) | .000** |
| Rural | 50(4.9%) | 207(20.5%) | 205(20.3%) | ||
| Education | Read and write/primary | 7(.7%) | 4(.4%) | 36(3.6%) | .000** |
| Preparatory/secondary | 32(3.2%) | 85(8.4%) | 137(13.6%) | ||
| University/post graduate | 41(4.1%) | 318(31.5%) | 351(34.7%) | ||
| occupation | Student | 49(4.8%) | 177(17.5%) | 192(19.0%) | .000** |
| Not working/house wife | 7(.7%) | 25(2.5%) | 75(7.4%) | ||
| Private sector | 9(.9%) | 38(3.8%) | 34(3.4%) | ||
| Governmental sector | 12(1.2%) | 144(14.2%) | 155(15.3%) | ||
| Others | 3(.3%) | 23(2.3%) | 68(6.7%) | ||
| Marital status | Single | 52(5.1%) | 212(21.0%) | 241(23.8%) | .016** |
| Married | 26(2.6%) | 187(18.5%) | 266(26.3%) | ||
| Others (separated–divorced–widowed) | 2(.2%) | 8(.8%) | 17(1.7%) | ||
| Hypersensitivity to drugs or foods | Yes | 19(1.9%) | 44(4.4%) | 57(5.6%) | .004** |
| No | 44(4.4%) | 275(27.2%) | 327(32.3%) | ||
| Don’t know | 17(1.7%) | 88(8.7%) | 140(13.8%) | ||
| Perceived susceptibility to COVID 19 infection | Yes | 39(3.9%) | 258(25.5%) | 404(40.0%) | .000** |
| No | 21(2.1%) | 33(3.3%) | 28(2.8%) | ||
| Don’t know | 20(2.0%) | 116(11.5%) | 92(9.1%) | ||
| Had flu vaccination | Never | 46(4.5%) | 268(26.5%) | 349(34.5%) | .039* |
| Long time ago | 28(2.8%) | 92(9.1%) | 137(13.6%) | ||
| Recently | 6(.6%) | 47(4.6%) | 38(3.8%) | ||
| Perceived health status | Poor to moderate | 6(.6%) | 33(3.3%) | 90(8.9%) | .000** |
| Good to very good | 21(2.1%) | 117(11.6%) | 169(16.7%) | ||
| Excellent | 53(5.2%) | 257(25.4%) | 265(26.2%) | ||
*Significant at the .05 level (2-tailed).
**Significant at the .01 level (2-tailed).
Association between socio-demographic, health related factors and intentions towards COVID 19 vaccination.
| Sociodemographic and health variables | Vaccine acceptance | Vaccine hesitancy | Vaccine non-acceptance | p | |
|---|---|---|---|---|---|
| Age groups | 18–28 | 151(14.9%) | 293(29.0%) | 113 (11.2%) | .225 |
| 29–39 | 61(6.0%) | 155(15.3%) | 64(6.3%) | ||
| 40–50 | 34(3.4%) | 68(6.7%) | 29(2.9%) | ||
| 50+ | 13(1.3%) | 27(2.7%) | 3(.3%) | ||
| Sex | Male | 134(13.3%) | 203(20.1%) | 80(7.9%) | .000 |
| Female | 125(12.4%) | 340(33.6%) | 129(12.8%) | ||
| Residence | Urban | 105(10.4%) | 309(30.6%) | 135(13.4%) | .000 |
| Rural | 154(15.2%) | 234(23.1%) | 74(7.3%) | ||
| Education | Read and write/primary | 6(.6%) | 33(3.3%) | 8(.8%) | .041 |
| Preparatory/secondary | 69(6.8%) | 143(14.1%) | 42(4.2%) | ||
| University/post graduate | 184(18.2%) | 367(36.3%) | 159(15.7%) | ||
| Occupation | Student | 129(12.8%) | 205(20.3%) | 84(8.3%) | .000 |
| Not working/house wife | 16(1.6%) | 73(7.2%) | 18(1.8%) | ||
| Private sector | 18(1.8%) | 39(3.9%) | 24(2.4%) | ||
| Governmental sector | 81((.8%) | 161(15.9%) | 69(6.8%) | ||
| Others | 15(1.5%) | 65(6.4%) | 14(1.4%) | ||
| Marital status | Single | 140(13.8%) | 258(25.5%) | 107(10.6%) | .009 |
| Married | 115(11.4%) | 274(27.1%) | 90(8.9%) | ||
| Others (separated–divorced–widowed) | 4(.4%) | 11(1.1%) | 12(1.2%) | ||
| Smoking | Current smoker | 21(2.1%) | 50(4.9%) | 17(1.7%) | .069 |
| Ex-smoker | 20(2.0%) | 22(2.2%) | 5(.5%) | ||
| Non smoker | 218(21.6%) | 471(46.6%) | 187(18.5%) | ||
| Flu vaccination | Never | 163(16.1%) | 351(34.7%) | 149(14.7%) | .029 |
| Long time ago | 79(7.8%) | 140(13.8%) | 38(3.8%) | ||
| Recent | 17(1.7%) | 52(5.1%) | 22(2.2%) | ||
| Perceived health status | Poor to moderate | 22(2.2%) | 83(8.2%) | 24(2.4) | .004 |
| Good to very good | 68(6.7%) | 179(17.7%) | 60(5.9%) | ||
| Excellent | 169(16.7%) | 281(27.8%) | 125(12.4%) | ||
| Does ministry of health provide adequate information about COVID-19 vaccines? | Yes | 93(9.2%) | 97(7.6%) | 34(3.4%) | .000 |
| No | 105(10.4%) | 335(33.1%) | 144(14.2%) | ||
| Don’t know | 61(6.0%) | 111(11.0%) | 31(3.1%) | ||
| Confidence in health system ability to control the epidemic | Disagree | 104 (10.3%) | 245(24.2%) | 126(12.5%) | .000 |
| Neutral | 52(5.1%) | 191(18.9%) | 40(4.0%) | ||
| Agree | 103(10.2%) | 107(10.6%) | 43(4.3%) | ||
Significant at the .01 level (2-tailed).
Significant at the .05 level (2-tailed).
Association between intentions towards COVID 19 vaccination and attitudes towards vaccines.
| Variables | Vaccine acceptance | Vaccine hesitancy | Vaccine non-acceptance | p |
|---|---|---|---|---|
| Mistrust of vaccine benefit | .000** | |||
| Low | 24(2.4%) | 76(7.5%) | 105(10.4%) | |
| Intermediate | 160(15.8%) | 425(24.0%) | 97(9.6%) | |
| High | 7(.7%) | 42(4.2%) | 75(7.4%) | |
| Worries about unforeseen effects | .000** | |||
| Low | 35(3.5%) | 32(3.2%) | 13(1.3%) | |
| Intermediate | 122(12.1%) | 211(20.9%) | 74(7.3%) | |
| High | 102(10.1%) | 300(29.7%) | 122(12.1%) | |
| Concerns about commercial profiteering | .000** | |||
| Low | 83(8.2%) | 76(7.5%) | 30(3.0%) | |
| Intermediate | 144(14.2%) | 343(33.9%) | 120(11.9%) | |
| High | 32(3.2%) | 124(12.3%) | 59(5.8%) | |
| Preference of natural immunity over vaccination | .000** | |||
| Low | 56(5.5%) | 74(7.3%) | 24(2.4%) | |
| Intermediate | 167(16.5%) | 341(33.7%) | 125(12.4%) | |
| High | 36(3.6%) | 128(12.7%) | 60(5.9%) | |
*Significant at the .05 level (2-tailed).
**Significant at the .01 level (2-tailed).
Multinomial logistic regression for the predictors of the intentions towards COVID 19 vaccination.
| Intentions | B | S.E. | Wald | Sig. | Exp(B) | 95% CI | ||
|---|---|---|---|---|---|---|---|---|
| Vaccine hesitancy | Concerns about unforeseen effects | .197 | .060 | 10.869 | .001 | 1.218 | (1.083–1.370) | |
| Sex | Male | −.511 | .158 | 10.496 | .001 | .600 | (.440–.817) | |
| Female (ref) | . | . | . | . | . | |||
| Residence | Urban | .535 | .165 | 10.529 | .001 | 1.707 | (1.236–2.358) | |
| Rural (ref) | . | . | . | . | . | |||
| Marital status | Single | .045 | .621 | .005 | .942 | 1.046 | (.310– 3.534) | |
| Married | .021 | .617 | .001 | .973 | 1.021 | (.305–3.421) | ||
| Others (ref) | . | . | . | . | . | |||
| Education | Read & write/primary | .837 | .484 | 2.994 | .084 | 2.310 | (.895–5.963) | |
| Preparatory/secondary | .086 | .183 | .224 | .636 | 1.090 | (.762–1.559) | ||
| University/post (ref) | . | . | . | . | . | |||
| Chronic disease | No | .084 | .208 | .162 | .687 | 1.088 | (.723–1.637) | |
| Yes (ref) | . | . | . | . | . | |||
| Perceived health | Poor/moderate | .462 | .287 | 2.591 | .107 | 1.588 | (.904–2.789) | |
| Good/very good | .415 | .180 | 5.293 | .021 | 1.514 | (1.063–2.156) | ||
| Excellent (ref) | . | . | . | . | . | |||
| Vaccine non-acceptance | ||||||||
| Concerns about unforeseen effects | .329 | .076 | 18.998 | .000 | 1.390 | (1.199–1.612) | ||
| Sex | Male | −.419 | .197 | 4.540 | .033 | .657 | (.447–.967) | |
| Female (ref) | . | . | . | . | . | |||
| Residence | Urban | .931 | .206 | 20.418 | .000 | 2.538 | (1.695–3.802) | |
| Rural (ref) | . | . | . | . | . | |||
| Marital status | Single | −.814 | .622 | 1.713 | .191 | .443 | (.131–1.499) | |
| Married | −1.203 | .618 | 3.786 | .052 | .300 | (.089–1.009) | ||
| Others (ref) | . | . | . | . | . | |||
| Education | Read& write/primary | .278 | .594 | .219 | .640 | 1.321 | (.412–4.234) | |
| Preparatory/secondary | −.265 | .237 | 1.257 | .262 | .767 | (.482–1.220) | ||
| University/post (ref) | . | . | . | . | . | |||
| Chronic dis | No | −.105 | .252 | .175 | .676 | .900 | (.549–1.475) | |
| Yes (ref) | . | . | . | . | . | |||
| Perceived health | Poor/moderate | .037 | .358 | .011 | .917 | 1.038 | (.514–2.096) | |
| Good/very good health | .160 | .225 | .503 | .478 | 1.173 | (.755–1.823) | ||
| Excellent (ref) | . | . | . | . | . |
The reference category is willing to take the vaccine.
Significance at <.05 (B represents the estimated regression coefficients for the explanatory variables, with the standard error (S.E.) given. The Wald statistics is the ratio of B to S.E. of the regression coefficient squared. The significance of each explanatory variable (Sig.) is given by the p-value. Exp (B) is the predicted change in odds for a unit increase in the explanatory variable).