| Literature DB >> 35455375 |
Emmanuel O Njoga1, Philip P Mshelbwala2,3, Kenneth O Abah4, Olajoju J Awoyomi5, Kinley Wangdi6, Shedrach B Pewan7, Felix A Oyeleye1, Haruna B Galadima8, Salisu A Alhassan9, Chinwe E Okoli10, Elisha Z Kwaja10, Onyinye S Onwumere-Idolor11, Everest O Atadiose1, Priscilla O Awoyomi12, Musawa A Ibrahim13, Kabiru M Lawan14, Shehu A Zailani15, Mohammed D Salihu13, Charles E Rupprecht16.
Abstract
The COVID-19 pandemic has resulted in millions of human deaths, prompting the rapid development and regulatory approval of several vaccines. Although Nigeria implemented a COVID-19 vaccination program on 15 March 2021, low vaccine acceptance remains a major challenge. To provide insight on factors associated with COVID-19 vaccine hesitancy (VH), we conducted a national survey among healthcare workers, academics, and tertiary students, between 1 September 2021 and 31 December 2021. We fitted a logistic regression model to the data and examined factors associated with VH to support targeted health awareness campaigns to address public concerns and improve vaccination rates on par with global efforts. A total of 1525 respondents took part in the survey, composed of healthcare-workers (24.5%, 373/1525), academics (26.9%, 410/1525), and students (48.7%, 742/1525). Only 29% (446/1525) of the respondents were vaccinated at the time of this study. Of the 446 vaccinated respondents, 35.7% (159/446), 61.4% (274/446) and 2.9% (13/446) had one, two and three or more doses, respectively. Reasons for VH included: difficulty in the vaccination request/registration protocols (21.3%, 633/1079); bad feelings towards the vaccines due to negative social media reports/rumours (21.3%, 633/1079); personal ideology/religious beliefs against vaccination (16.7%, 495/1079); and poor confidence that preventive measures were enough to protect against COVID-19 (11%, 323/1079). Some health concerns that deterred unvaccinated respondents were: innate immunity issues (27.7%, 345/1079); allergic reaction concerns (24.6%, 307/1079); and blood clot problems in women (21.4%, 266/1079). In the multivariable model, location of respondents/geopolitical zones, level of education, testing for COVID-19, occupation/job description and religion were significantly associated with VH. Findings from this study underscore the need for targeted awareness creation to increase COVID-19 vaccination coverage in Nigeria and elsewhere. Besides professionals, similar studies are recommended in the general population to develop appropriate public health interventions to improve COVID-19 vaccine uptake.Entities:
Keywords: COVID-19; Coronavirus; Nigeria; SARS-CoV-2 infection; academics; epidemiology; healthcare workers; tertiary students; vaccine hesitancy
Year: 2022 PMID: 35455375 PMCID: PMC9032510 DOI: 10.3390/vaccines10040626
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Map of Nigeria showing the six geopolitical zones, the constituent 36 states and the Federal Capital Territory (FCT), Abuja.
Figure 2Schematic overview for the assembly of the research team, study design, and data acquisition procedures during the online-based questionnaire survey.
Figure 3Distribution of the number of respondents across the six geopolitical zones of Nigeria.
Figure 4Distribution of the number of respondents (academics, healthcare works and tertiary students) surveyed for COVID-19 vaccine hesitancy across the six geopolitical zones of Nigeria.
Association between socio-demographics of respondents (n = 1525) and testing for SARS-CoV-2 infections and COVID-19 vaccination.
| Socio-Demographics | Variables | Proportion | χ2-Value | |
|---|---|---|---|---|
| EVER TESTED FOR SARS-CoV-2 | ||||
|
| Male | 67.6% (1031/1525) | 0.371 | 0.543 |
| Female | 32.4% (494/1525) | |||
|
| Healthcare worker | 24.5% (373/1525) | 16.82 | 0.002 * |
| Academic | 26.9% (410/1525) | |||
| Tertiary student | 48.7% (742/1525) | |||
|
| 16–30 | 52% (793/1525) | 149.1 | <0.001 * |
| 31–45 | 34.3% (523/1525) | |||
| ≥46 | 13.7% (209/1525) | |||
|
| Single | 52.4% (799/1525) | 7.347 | 0.007 * |
| Married/divorced | 47.6% (726/1525) | |||
|
| Christianity | 59.3% (905/1525) | 1.484 | 0.223 |
| Islam/others | 40.7% (620/1525) | |||
|
| Postgraduate | 35.7% (545/1525) | 13.27 | 0.001 * |
| Graduate | 29.1% (443/1525) | |||
| Undergraduate | 35.2% (537/1525) | |||
|
| South-west | 6.9% (105/1525) | 19.46 | 0.0006 * |
| South-south | 14.7% (224/1525) | |||
| Southeast | 11.0% (167/1525) | |||
| Northeast | 23.5% (358/1525) | |||
| North-west | 16.5% (251/1525) | |||
| North-central | 6.9% (105/1525) | |||
|
| ||||
|
| Male | 67.6% (1031/1525) | 1.299 | 0.254 |
| Female | 32.4% (494/1525) | |||
|
| Healthcare worker | 24.5% (373/1525) | 34.43 | 0.000 * |
| Academic | 26.9% (410/1525) | |||
| Tertiary student | 48.7% (742/1525) | |||
|
| 16–30 | 52% (793/1525) | 151.4 | <0.001 * |
| 31–45 | 34.3% (523/1525) | |||
| ≥46 | 13.7% (209/1525) | |||
|
| Single | 52.4% (799/1525) | 0.881 | 0.348 |
| Married/divorced | 47.6% (726/1525) | |||
|
| Christianity | 59.3% (905/1525) | 2.337 | 0.126 |
| Islam/others | 40.7% (620/1525) | |||
|
| Postgraduate | 35.7% (545/1525) | 16.17 | 0.003 * |
| Graduate | 29.1% (443/1525) | |||
| Undergraduate | 35.2% (537/1525) | |||
|
| South-west | 6.9% (105/1525) | 24.94 | <0.001 * |
| South-south | 14.7% (224/1525) | |||
| Southeast | 11.0% (167/1525) | |||
| Northeast | 23.5% (358/1525) | |||
| North-west | 16.5% (251/1525) | |||
| North-central | 6.9% (105/1525) | |||
* Statistically significance p-value; Chi-square test.
Figure 5SARS-CoV-2 testing and infection status of Nigerian healthcare workers, academics and tertiary students (n = 1525) surveyed for COVID-19 vaccine acceptance and hesitancy.
Figure 6COIVD-19 vaccine availability, accessibility, acceptance, and hesitancy among healthcare workers, academics, and tertiary students in Nigeria.
Figure 7Distribution of COVID-19 vaccine brands received by vaccinated respondents (n = 446) surveyed for vaccine hesitancy in Nigeria.
Figure 8Reasons that informed the confidence of COVID-19 vaccinated respondents on the safety and efficacy of the vaccine.
Reasons for COVID-19 vaccine hesitancy and measures to improve the vaccine availability and acceptance in Nigeria.
| S/No | Questions Asked or Information Required | Number of Respondents (%) |
|---|---|---|
|
|
| |
| COVID-19 vaccination registration protocol is difficult | 633 (58.7) | |
| Suspicion/doubts on safety of novel vaccines | 43 (4.0) | |
| COVID-19 is a hoax | 183 (17.0) | |
| The vaccines are not available/accessible in my locality | 57 (5.3) | |
| Herbal medicines/home remedies are effective for cure/management of COVID-19 | 65 (6.0) | |
| Influence from anti-COVID-19-vaccine movements | 40 (3.7) | |
| Vaccination is against my religious beliefs or personal ideology | 495 (45.9) | |
| Concerns about long term health/side effects | 296 (27.4) | |
| Scepticism about the vaccine due to hasty production/roll out | 159 (14.7) | |
| Preventive measures are enough to protect against COVID-19 | 323 (30.0) | |
| Bad feelings towards the vaccines due to negative social media reports/rumours | 633 (58.7) | |
| Others | 37 (3.4) | |
|
|
| |
| Blood clot issues among women | 266 (24.7) | |
| Allergic reactions | 307 (28.5) | |
| Innate immunity concerns | 345 (32.0) | |
| New or worsening muscle/joint pains | 107 (10.0) | |
| Myocardial infarction | 180 (16.7) | |
| Others | 41 (3.8) | |
|
|
| |
| The vaccines may be unsafe due to its hasty production and or roll out | 674 (62.9) | |
| The vaccine may contain ‘hidden chip’ that may be a mark of the anti-Christ | 208 (19.3) | |
| It may limiting procreation and fertility and hence a population control strategy | 206 (19.9) | |
| The vaccine may cause deaths as one certain vaccine did in Kano State, Nigeria | 132 (12.2) | |
| The vaccine may cause adverse immunological problem as mRNA vaccine are relatively new and sufficient time is needed to proof their safety and efficacy | 613 (56.8) | |
| Others | 22 (2.0) | |
|
|
| |
| More COVID-19 vaccine donations from developed to developing countries | 519 (34.0) | |
| Increased funding to the Nigerian health and education/research sectors | 727(47.7) | |
| More public enlightenment campaigns/grass-root health education to the populace | 955 (62.6) | |
| Procurement of more COVID-19 vaccines | 379 (24.8) | |
| Commencement of indigenous COVID-19 vaccine production | 505 (33.1) | |
| Provision of COVID-19 vaccine storage and distribution facilities | 453 (29.7) | |
| Increased remuneration and provision of incentives to healthcare workers | 437 (28.7) | |
| Developed countries should halt 3rd COVID-19 booster vaccination to increase the availability of the vaccines in developing countries | 211 (13.8) | |
* Respondents were allowed to provide more than one response, as may be appropriate.
Univariable and multivariable results of variables associated with COVID-19 vaccine hesitancy among Nigerian healthcare workers, academics, and tertiary students.
| Univariable Analysis | Multivariable Model | |||||
|---|---|---|---|---|---|---|
| Variables | Categories | Proportions | OR (95% CI) | AOR (95% CI) | ||
|
| Male | 67.6% (1031/1525) | Referent | Referent | Referent | Referent |
| Female | 32.4% (494/1525) | 1.28 (1.03–1.60) | 0.026 | 1.13 (0.88–1.45) | 0.30 | |
|
| South West | 27.5% (422/1525) | Referent | Referent | Referent | Referent |
| South-South | 6.9% (105/1525) | 1.03 (0.67–1.61) | 0.90 | 1.12 (0.71–1.79) | 0.60 | |
| South East | 14.7% (224/1525) | 1.42 (1.01–2.01) | 0.044 | 1.60 (1.11–2.32) | 0.012 | |
| North East | 11.0% (167/1525) | 1.24 (0.86–1.81) | 0.30 | 2.40 (1.51–3.87) | <0.001 | |
| North West | 23.5% (358/1525) | 0.61 (0.46–0.81) | <0.001 | 1.31 (0.88–1.95) | 0.20 | |
| North Central | 16.5% (251/1525) | 0.89 (0.65–1.22) | 0.50 | 1.28 (0.91–1.80) | 0.20 | |
|
| Healthcare worker | 24.5% (373/1525) | Referent | Referent | Referent | Referent |
| Academic | 26.9% (410/1525) | 1.05 (0.82–1.35) | 0.70 | 1.19 (0.85–1.67 | 0.3 | |
| Tertiary student | 48.7% (742/1525) | 0.86 (0.67–1.10) | 0.20 | 1.73 (1.13–2.65) | 0.012 | |
|
| 16–30 | 52.0% (793/1525) | Referent | Referent | Referent | Referent |
| 31–45 | 34.3% (523/1525) | 0.68 (0.55–0.86) | <0.001 | 0.75 (0.51–1.10) | 0.15 | |
| ≥46 | 13.7 (209/1525) | 0.64 (0.47–0.88) | 0.005 | 0.63 (0.37–1.05) | 0.078 | |
|
| Single | 52.4% (799/1525) | Referent | Referent | Referent | Referent |
| Married/divorced | 47.6% (726/1525) | 0.76 (0.62–0.93) | 0.009 | 1.13 (0.78–1.62) | 0.50 | |
|
| Christian | 59.3% (905/1525) | Referent | Referent | Referent | Referent |
| Non-Christian | 40.7% (602/1525) | 0.56 (0.45–0.69) | <0.001 | |||
| Highest educational level attained | Postgraduate | 35.7% (545/1525) | Referent | Referent | Referent | Referent |
| Graduate | 29.0% (443/1525) | 1.05 (0.81–1.35) | 0.70 | 1.19 (0.85–1.67) | 0.3 | |
| Undergraduate | 35.0% (537/1525) | 1.51 (1.19–1.94) | <0.001 | 1.73 (1.13–2.65) | 0.012 | |
| Tested against COVID-19 | Yes (1) | 26.3% (401/1525) | Referent | Referent | Referent | Referent |
| No (0) | 73.7% (1124/1525) | 2.43 (1.90–3.13) | <0.001 | |||
OR = Odds Ratio, AOR = Adjusted Odds Ratio, CI = Confidence Interval.