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Research Article - (2021) Volume 12, Issue 1

Predictors of Uptake of a Potential Covid-19 Vaccine Among Nigerian Adults
Charles Oluwatemitope Olomofe1*, Kehinde Victor Soyemi2, Bolaji Felicia Udomah3, Adeyinka Olabisi Owolabi4, Emmanuel Eziashi Ajumuka5, Martin Chukwudum Igbokwe6, Oludare Uriel Ashaolu7, Olusola Ayodele Adeyemi8, Yetunde Bolatito Aremu-Kasumu9, Olufunke Folasade Dada10, Chikezie John Ochieze11, Olaniyi Bamidele Fayemi12, Kehinde Williams Ologunde13, Gbenga Omotade Popoola14 and Olumuyiwa Elijah Ariyo15
 
1Department of Infectious Disease, Abt Associates, USAID SHOPS Plus TB Project, Abuja, Nigeria
2Department of Medical Affairs, Pharma R&D, GlaxoSmithKline Pharmaceutical, Lagos, Nigeria
3Community Medicine Department, University of Osun Teaching Hospital, Osogbo, Osun State, Nigeria
4Department of General Medicine, William Harvey Hospital, Willesborough, Ashford, Kent, United Kingdom
5Department of Community Medicine, Ahmadu Bello University Teaching Hospital, Zaria, Kaduna State, Nigeria
6Urology Unit, Department of Surgery, Zenith Medical and Kidney Center, Kudu, Abuja, Nigeria
7Department of Orthopaedic Surgery and Traumatology, Obafemi Awolowo University Teaching Hospital Complex, Ile-Ife, Osun State, Nigeria
8Department of Medicine/Cardiology, Bafrow Medical Center, Serrekunda, Gambia
9Department of Obstetrics and Gynaecology, Federal Medical Center, Gusau, Zamfara State, Nigeria
10Department of Anaesthesia and Intensive Care, Obafemi Awolowo University Teaching Hospital Complex, Ile-Ife, Osun State, Nigeria
11Department of Family Medicine, DeTar Healthcare Systems, Victoria, Texas, United States
12Depaertment of Paediatrics, Federal Teaching Hospital, Ido-Ekiti, Ekiti State, Nigeria
13Department of Obstetrics and Gynaecology, Federal Medical Center, Gusau, Zamfara State, Nigeria
14Department of Psychiatry, Federal Teaching Hospital, Ido- Ekiti, Ekiti State, Nigeria
15Department of Medicine, Infectious Diseases and Tropical Medicine Unit, Federal Teaching Hospital, Ido-Ekiti, Ekiti State, Nigeria
 
*Correspondence: Charles Oluwatemitope Olomofe, Department of Infectious Disease, Abt Associates, USAID SHOPS Plus TB Project, Abuja, Nigeria, Email:

Received: 06-Jan-2021 Published: 28-Feb-2021, DOI: 10.35248/2157-7560.21.12.442

Abstract

Background: The Coronavirus diseases (COVID-19) pandemic is not abating and there is no approved treatment yet. The development of vaccines is hoped to help in addressing this disease outbreak. However, in the face of anti- vaccines uprise, it is important to understand the factors that may influence the uptake of COVID-19 vaccines as this will influence how successful the fight against COVID-19 will be in the long term.

Methods: A cross-sectional study among 776 adult Nigerians (age ≥ 18 years) was conducted in the 36 States of Nigeria and the Capital City with online questionnaire. The questionnaire consisted of 5 sections: socio-demographic characteristics of respondents, respondent’s knowledge of COVID-19, respondents risk perception of COVID-19, vaccination history of respondents, and willingness to receive COVID-19 vaccine. Descriptive analysis of variables was done and multivariate analysis using logistic regression was carried out to determine the predictors of uptake of a potential COVID-19 vaccine. The level of significance was predetermined at a p-value <0.05. Data analysis was done with SPSS version 21.

Results: Most of the respondents were male (58.1%). Most participants were willing to take a potential COVID-19 vaccine (58.2%), while 19.2% would not take it with 22.6% indecisive. 53.5% would prefer a single dose COVID-19 vaccine. For vaccine uptake, being male (p=0.002) and the perception that “vaccines are good” (p<0.001) were the positive predictor of uptake of a potential COVID-19 vaccine.

Conclusion: Most Nigerians were willing to take a potential COVID-19 vaccine with the male gender and perception that “vaccines are good” being positive predictors. There is a need for public enlightenment aim at encouraging those that are indecisive or averse to receiving COVID-19 vaccines.

Keywords

COVID-19, COVID-19 Vaccine, Pandemic

Background

Coronavirus Disease 2019 (COVID-19), is caused by Severe Acute Respiratory Syndrome Corona virus-2 (SARS-CoV-2) [1]. As a result of the widespread occurrence and significant global health risk, the World Health Organization (WHO) declared COVID-19 a Public Health Emergency of International Concern (PHEIC) in late January 2020 [2]. Nigeria reported its index case on February 27, 2020, from an Italian citizen who tested positive in Lagos State, the commercial capital of the country [3]. By the first week in March 2020, the number of cases had risen to over 100,000 affecting multiple continents, and WHO subsequently declared COVID-19 a global pandemic on March 11, 2020 [4].

As of December 4, 2020, there were over 65 Million cases of COVID-19 across the globe and more than 1.5 million deaths. In Nigeria, data showed over 68,000 cases with about 1200 deaths [5]. Despite the devastating scourge of the disease, there has not been any proven treatment against the SARS-CoV-2. The recommendations of the disease control bodies are focused on disease prevention and control measures to minimize spread and to reduce the burden on the healthcare system [6-8]. Vaccination is an effective preventive measure reducing morbidity and mortality caused by infectious agents. It constitutes the mainstay of prevention of infectious childhood diseases and is of major importance in primary health care [9]. Since the onset of the COVID-19 pandemic, there has been a significant drive to find an effective vaccine with several vaccines at various stages of drug trials and some already being tested in humans across various countries [10,11]. However, the success of this vaccine will be dependent on the acceptance and uptake level and the subsequent development of herd immunity [9]. In recent times, there has been a growing anti-vaccine movement [11], it is therefore imperative to explore the barriers and drivers of uptake of a potential COVID-19 vaccine to help the government, policymakers, and health care workers mitigate the impact of probable low vaccine uptake.

Vaccine uptake refers to the absolute number of people who receive a specified vaccine dose(s) [12]; and low uptake has been increasingly recognized as a challenge to the success of vaccination programs [11]. Uptake of vaccines can be influenced by several factors such as personal risk perception, fear of side effects, access to media, information sources, religious/cultural beliefs, the convenience of getting to a health facility, level of trust for the healthcare system, household wealth, residence, ethnicity, and other demographic variables, as well as other social influences [13,14]. Introduction of a new vaccine to the public may be met with hesitancy due to skepticism about its effectiveness and potential safety [9]. Several studies have been carried out on determinants of uptake of already existent vaccines [14-16] but there is currently a paucity of data on the uptake of a potential COVID-19 vaccine.

Adults are thought to be the important drivers of SARS-CoV-2 transmission in the community and are also known to be more susceptible than children. Unfortunately, vaccine uptake among adults in Nigeria is already poor [17,18]. There is, therefore, a concern as to the likely picture of uptake of a potential COVID-19 vaccine in the adult population. This study, therefore, aimed to investigate the willingness to receive the COVID-19 vaccine among the Nigerian adult population and the predictors of uptake of the vaccine.

Methods

This was a cross-sectional study carried out in Nigeria, the most populous nation in Africa with an estimated population of about 200 million and a total land area of 910,770 Km2 (351,650 sq. miles) [19]. Nigeria has six geopolitical zones (Southwest, Southeast, Southsouth, Northwest, Northeast, Northcentral) with 36 states. Ethical approval was obtained from the Health Research Ethics Committee of the Federal Medical Centre Gusau, Zamfara State, Nigeria.

The study was conducted online using a pre-tested, semi-structured questionnaire and included Nigerian adults above the age of 18 years who consented to participate in the study. The minimum sample size was determined to be 409 at a confidence level of 95% and based on the proportion of people with good knowledge of 39% in a previous study [20] and a 5% margin of error.

The questionnaire was adapted from several published literature [20- 23] and comprised of five sections A-E namely, Socio-demographic characteristics of respondents, respondent’s knowledge of COVID-19, respondents risk perception of COVID-19, vaccination history of respondents, and willingness to receive COVID-19 vaccine. The pre-test of the questionnaire was done on 10% of the subjects each at six different states from the six geopolitical zones and was not included in the study. The pretested questionnaires with participants' information sheets were distributed widely online. The data were collected from June to July 2020.

Data were analyzed using SPSS version 21. The knowledge of COVID-19 among respondents was scored based on the number of correct responses given. The number of correct responses was compared with the average score. Participants whose score equaled or was above the average were categorized as having good knowledge while those who scored below the average were categorized as having poor knowledge. Descriptive statistics (frequency tables and percentages) were calculated for the sample demographic characteristics. The frequency and percentage of willingness to receive the COVID-19 vaccine were also calculated. Chi-square analysis was computed to test for association between sociodemographic characteristics, knowledge of COVID-19 among respondents, vaccination history of the respondent, and willingness to receive a COVID-19 vaccine. Multivariate analysis using logistic regression was carried out to determine the predictors of uptake of a potential COVID-19 vaccine. The level of significance was predetermined at a p-value of less than 0.05 at a 95% confidence level.

Results

A total of 776 participants completed the survey. Most were within the ages of 36-45 years (43.9%), with 58.1% males and 40.9% females. The majority (53.2%) have tertiary education with 7.7% of the respondents being artisans, 8.6% being teachers and 25% being health care workers. Most respondents (26.7%) preferred not to say their annual income with 17.5% earning less than 500,000 Naira / Annum. Zonal representation of respondents (State of origin and place of residence) revealed that most of the respondents were from the southwest zone of the country (47.4% and 46% respectively). Most respondents' households are made up of 1-4 persons (48.3%) while 5.7% of the respondents have more than 8 persons per household (Table 1).

Variables Frequency (n=776) %
Age group (years)    
18 – 25 93 12
26 – 35 241 31.1
36 – 45 341 43.9
46 – 55 73 9.4
>55 28 3.6
Gender
Male 451 58.1
Female 317 40.9
Prefer not to say 8 1
Marital Status
Single 214 27.6
Married 489 63
Separated/ Divorced 15 1.9
Widowed/ Widower 7 0.9
In a relationship 45 5.8
Undisclosed 6 0.8
Religion
None 9 1.2
Christianity 616 79.4
Islam 147 18.9
Others 4 0.5
Level of education
Secondary school or less 36 4.6
Tertiary 413 53.2
Postgraduate 327 42.1
Occupation
Unemployed 60 7.7
Trader 22 2.8
Teacher 67 8.6
Artisan 17 2.2
Healthcare worker 194 25
Information technology 43 5.5
Financial services 45 5.8
Security agent 12 1.5
Agricultural services 19 2.4
Others 297 38.3
Estimated income of caregiver per annum (naira)
<500,000 136 17.5
500,000 -1 million 120 15.5
 1 – 2 million 117 15.1
 2 – 3 million 54 7
 3 – 4 million 37 4.8
 >4 million 105 13.5
 I prefer not to say 207 26.7
State Origin (Zone)
 North-Central 90 11.6
 North-East 46 5.9
 North-West 49 6.3
 South-East 119 15.3
 South-South 94 12.1
 South-West 368 47.4
 Prefer not to say 10 1.3
Place of residence (Zone)
 North-Central 174 22.4
 North-East 24 3.1
 North-West 103 13.3
 South-East 32 4.1
 South-South 40 5.2
 South-West 357 46
 Prefer not to say 46 5.9
No person in a household
 1– 4 375 48.3
 5– 8 357 46
 >8 44 5.7

Table 1: Socio-demographic characteristics of respondents.

Most of the respondents (58.2%) were willing to receive the vaccine once it is available while 19.2% of the respondents were not willing to receive the vaccine; 22.6% of the respondents were indecisive (Table 2). Many of the respondents who were unwilling to take the vaccine were not sure of reasons why they were unwilling to receive the vaccine (Table 3). Among the respondents that were willing to take the vaccine, the majority (53.5%) were comfortable with a single dose of the vaccine, while only 8% of the respondents were willing to take more than 4 doses. (Table 4) The preferred route of administration among most of the respondents was either oral (58.2%) or Injection (53.8%) with many of the respondents rejecting the administration of the vaccine through the intranasal route (76.1%) (Table 5).

Willingness to take potential COVID 19 vaccine Frequency (n=776) Percent (%)
Yes 452 58.2
No 149 19.2
Maybe 175 22.6

Table 2: Respondents willingness to take potential COVID-19 vaccine.

  Yes No Maybe Don’t know
Determinants n (%) n (%) n (%) n (%)
The potential vaccine is a mark of the beast 4 (2.7) 29 (19.5) 9 (6.0) 107 (71.8)
The potential vaccine is to reduce the world population 4 (2.7) 20 (13.4) 20 (13.4) 105 (70.5)
The potential vaccine can make one sick 7 (4.7) 10 (6.7) 25 (16.8) 107 (71.8)
I might not be able to afford the vaccine 9 (6.0) 21 (14.1) 15 (10.1) 104 (69.8)
I don’t have time to take any vaccine 3 (2.0) 35 (23.5) 8 (5.4) 103 (69.1)
My religion does not allow vaccination 0 (0.0) 45 (30.2) 4 (2.7) 100 (67.1)
I will take it if I get paid for it 5 (3.4) 30 (20.1) 15 (10.1) 99 (66.4)
I have other medical condition that would not allow me to take it 3 (2.0) 38 (25.5) 7 (4.7) 101 (67.8)
The vaccines we are taking are already too much 8 (5.4) 26 (17.4) 11 (7.4) 104 (69.8)
Vaccines are only for children 0 (0.0) 44 (29.5) 5 (3.4) 100 (67.1)
The vaccine is not needed because the infection is harmless 0 (0.0) 40 (26.8) 8 (5.4) 101 (67.8)

Table 3: Respondents reasons for refusing to take a potential COVID-19 vaccine.

Number of willing permissible dose Frequency (n=452) Percent (%)
1 242 53.5
2 116 25.7
3 50 11.1
≥ 4 36 8
Indecisive 8 1.8

Table 4: Respondents preferred maximum dose(s) of potential COVID-19 vaccine.

  Yes No Maybe
The preferred route of administration n (%) n (%) n (%)
 Oral 263 (58.2) 170 (37.6) 19 (4.2)
 Intranasal 62 (13.7) 344 (76.1) 46 (10.2)
 Injection 243 (53.8) 174 (38.5) 35 (7.7)
 Any route 58 (12.8) 336 (74.3) 58 (12.8)

Table 5: Respondents preferred route for potential COVID-19 vaccine.

Socio-demographic variables such as gender and religion of the respondents showed a statistically significant association with willingness to receive the vaccine (Tables 6a and 6b). ‘Perception that vaccines are good or bad’, previous history of vaccination, and knowledge of COVID-19 were also shown to have a statistically significant association with willingness to receive the vaccine. However, there was no statistically significant association between risk perception of COVID-19 and willingness to receive COVID-19 vaccine (Table 6b). Male gender and ‘perception that vaccines generally are good’ were found to be significant predictors of uptake of a potential COVID-19 vaccine. Males were one and a half times more likely to receive the vaccine than females and those with a ‘perception that vaccines are generally good’ were seven times more likely to receive the vaccine than those who have a ‘perception that vaccines image are generally bad’ (Table 7).

  Willingness to take a potential vaccine for COVID-19
  Yes Maybe No Total χ2 p-value
Characteristics n (%) n (%) n (%) N (%)    
Age (years)            
 18 – 25 56 (60.2) 19 (20.4) 18 (19.4) 93 7.941 0.439
 26 – 35 141 (58.5) 50 (20.7) 50 (20.7) 241    
 36 – 45 205 (60.1) 62 (18.2) 74 (21.7) 341    
 46 – 55 37 (50.7) 13 (17.8) 23 (31.5) 73    
 >55 13 (46.4) 5 (17.9) 10 (35.7) 28    
Gender            
Male 282(62.5) 79 (17.5) 90 (20.0) 451 7.01 0.030*
Female 168 (53.0) 68 (21.5) 81 (25.6) 317    
Level education            
Secondary school or less 17 (47.2) 11 (30.6) 8 (22.2) 36 4.202 0.379
Tertiary 239 (57.9) 82 (19.9) 92 (22.3) 413    
Postgraduate 196 (59.9) 56 (17.1) 75 (22.9) 327    
Marital status            
Single 133(62.1) 34 (15.9) 47 (22.0) 214 13.581F 0.093
Married 279 (57.1) 95 (19.4) 115 (23.5) 489    
Separated/ Divorced 6 (40.0) 3 (20.0) 6 (40.0) 15    
Widowed/ Widower 2 (28.6) 3 (42.9) 2 (28.6) 7    
In a relationship 29 (64.4) 12 (26.7) 4 (8.9) 45    
Number person in a household 
1 – 4 231 (61.6) 75 (20.0) 69 (18.4) 375 7.625 0.106
5 – 8 195 (54.6) 66 (18.5) 96 (26.9) 357    
 >8 26 (59.1) 8 (18.2) 10 (22.7) 44    
State origin zone            
North-Central 59 (65.6) 12 (13.3) 19 (21.1) 90 14.819 0.139
North-East 27 (58.7) 6 (13.0) 13 (28.3) 46    
North-West 30 (61.2) 10 (20.4) 9 (18.4) 49    
South-East 56 (47.1) 25 (21.0) 38 (31.9) 119    
South-South 53 (56.4) 19 (20.2) 22 (23.4) 94    
South-West 223 (60.6) 75 (20.4) 70 (19.0) 368    
Place of residence            
North-Central 106 (60.9) 34 (19.5) 34 (19.5) 174 2.339 0.993
North-East 14 (58.3) 4 (16.7) 6 (25.0) 24    
North-West 63 (61.2) 19 (18.4) 21 (20.4) 103    
South-East 18 (56.2) 6 (18.8) 8 (25.0) 32    
South-South 25 (62.5) 7 (17.5) 8 (20.0) 40    
South-West 201 (56.3) 72 (20.2) 84 (23.5) 357    
Religion            
None 5 (55.6) 1 (11.1) 3 (33.3) 9 14.465F 0.025*
Christianity 346 (56.2) 128 (20.8) 142 (23.1) 616    
Islam 100 (68.0) 20 (13.6) 27 (18.4) 147    
Others 1 (25.0) 0 (0.0) 3 (75.0) 4    

Table 6(a): Willingness to be vaccinated by respondents characteristics.

     Readiness to take a potential vaccine for COVID-19
  Yes Maybe No Total χ2 p-value
Characteristics occupation n (%) n (%) n (%) N (%)    
 Unemployed 35 (58.3) 16 (26.7) 9 (15.0) 60 28.694 0.05
 Trader 17 (77.3) 2 (9.1) 3 (13.6) 22    
 Teacher 30 (44.8) 17 (25.4) 20 (29.9) 67    
 Artisan 13 (76.5) 0 (0.0) 4 (23.5) 17    
 Healthcare worker 124 (63.9) 31(16.0) 39 (20.1) 194    
 Information technology 19 (44.2) 9 (20.9) 15 (34.9) 43    
 Financial services 24 (53.3) 10 (22.2) 11 (24.4) 45    
 Security agent 9 (75.0) 1 (8.3) 2 (16.7) 12    
 Agricultural services 14 (73.7) 4 (21.1) 1 (5.3) 19    
 Others 167 (56.2) 59 (19.9) 71 (23.9) 297    
Average income
 <500,000 85 (62.5) 21(15.4) 30 (22.1) 136 9.78 0.46
 500,000-1 million 62 (51.7) 25(20.8) 33 (27.5) 120    
 1 – 2 million 73 (62.4) 20 (17.1) 24 (20.5) 117    
 2 – 3 million 37 (68.5) 9 (16.7) 8 (14.8) 54    
 3 – 4 million 24 (64.9) 9 (24.3) 4 (10.8) 37    
 >4 million 61 (58.1) 19 (18.1) 25 (23.8) 105    
Vaccines (immunization) are good
 Yes 419 (68.1) 98 (15.9) 98 (15.9) 615 123.715 <0.001*
 No 33 (20.5) 51(31.7) 77 (47.8) 11    
Ever received any vaccine before
 Yes 415 (59.5) 136 (19.5) 147 (21.1) 698 8.879 0.012*
 No 37 (47.4) 13 (16.7) 28 (35.9) 78    
Risk perception for COVID-19
 Good 289 (59.0) 93 (19.0) 108 (22.0) 490 0.31 0.856
 Poor 163 (57.0) 56 (19.6) 67 (23.4) 286    
Knowledge of COVID-19
 Good 419 (59.8) 135 (19.3) 147 (21.0) 701 10.95 <0.001*
 Poor 33 (44.0) 14 (18.7) 28 (37.3) 75    

Table 6(b): Willingness to be vaccinated by respondents characteristics.

Social demographics and other uptake variables of respondents B p-value OR (95% CI) 95% CI
      Lower Upper
Gender          
 Male 0.484 0.002* 1.622 1.189 2.214
 Female REF     1    
Religion          
 None REF     1    
 Christianity -0.056 0.935 0.945 0.244 3.662
 Islam -0.666 0.351 0.514 0.127 2.084
 Others -2.279 0.099 0.102 0.007 1.532
Occupation
 Unemployed REF     1    
 Trader -0.656 0.267 0.519 0.163 1.654
 Teacher 0.506 0.163 1.658 0.815 3.374
 Artisan -1.019 0.173 0.361 0.083 1.561
 Healthcare worker 0.492 0.117 1.635 0.884 3.024
 Information technology 0.841 0.093 2.318 1.043 5.153
 Financial services 0.434 0.286 1.543 0.695 3.425
 Security agent -0.152 0.847 0.859 0.184 4.018
 Agricultural services -0.917 0.147 0.4 0.116 1.38
 Others 0.458 0.119 1.581 0.889 2.813
Vaccines (immunization) are good
 Yes 1.891 <0.001* 6.623 4.549 9.642
 No REF     1    
Ever received any vaccine before
 Yes 0.31 0.242 1.364 0.811 2.295
 No REF     1    
Knowledge of COVID-19
 Good 0.175 0.497 1.191 0.719 1.972
 Poor REF     1    

Table 7: Predictors of uptake of a potential COVID-19 vaccine.

Discussion

This study reveals that only a simple majority (58.2%) were willing to take a COVID 19 vaccine when available. This is short of the findings from a study by Abdelhafiz [24] where about 73% of the respondents were willing to take a potential COVID-19 vaccine. Malik [25] in his study in the United States (US) also found that 67% of participants would be willing to accept the vaccine. About one-fifth of the respondents in this study were indecisive; a finding similar to the one reported among healthcare workers from a study conducted by Fu et.al. [26] Strikingly, there was an aversion to multiple vaccine doses among those willing to take the vaccine with most preferring the oral and the injection routes over other potential routes of administration This information is important for policymakers to improve uptake and compliance, especially if multiple route options become available. About one-fifth of the respondents were unwilling to receive a potential vaccine which appears to stem from skepticism about the safety of the potential vaccine. For instance, in this study, the majority were unsure if the potential vaccine is 'a mark of the beast' or if the motive is 'to reduce the world population'. This is comparable to the findings in the study by Thunstrom [9] where it was reported that 20% of the US population would decline the vaccine. They noted that distrust of vaccine safety and vaccine novelty are among the most important obstacles to vaccination.

Five factors namely, gender, religion, occupation, knowledge of COVID-19, 'perception that vaccines generally are good', and previous vaccination(s) were shown to have a statistically significant association with ‘willingness to take vaccine’. However, male gender and ‘perception that vaccines generally are good’ were found to be the only independent significant predictors of uptake of a potential COVID 19 vaccine. Like this, Wang [27] in his study in China found that being male increased the probability of accepting the vaccine. Contrary to this Padhi [28] in his study in Saudi Arabia reported no association between gender and willingness to take a COVID-19 vaccine while Lazarus [29] also reported that gender differences were small in his study across 19 Countries.

While gender (male), and ‘perception that vaccines generally are good’ predicted the positive uptake of a potential COVID-19 vaccine as hypothesized, surprisingly, knowledge and risk perception of the disease did not, despite reported good knowledge and positive risk perception. This suggests there are still other factors influencing the uptake of a potential vaccine; of note is the range of misconceptions bordering on the skepticism about the safety of a potential vaccine identified in this study, which seems to agree with the study by Thunstrom [9] While it is recognized that hypothetical choices may not always reflect real-life behaviour/decision, it is imperative for stakeholders (for example government agencies/policymakers, non-governmental organizations, and health care workers) to still do more in terms of health education and promotion especially in addressing these misconceptions about a potential COVID-19 vaccine. This may go a long way in improving probable low vaccine uptake.

Limitations

Findings may be influenced by selection bias because respondents needed access to a smartphone or computer. This may have excluded the poor, elderly who are most vulnerable to COVID-19 this may limit external validity and may have distorted estimation of those willing to take the vaccine.

Conclusion

Our study showed that 58.2%of our sample from across Nigeria would be willing to take a COVID-19 vaccine. Male gender was the most significant independent predictor of vaccine uptake, this is particularly important in Nigeria where the patriarchal system is dominant. Most respondents who were not willing to receive vaccines could not give a reason for their stance. Policymakers and Stakeholders will need to focus attention on Health education campaigns targeted at both males and females in the community to improve the acceptance and uptake of the vaccine.

Declarations

Ethics approval

Ethical approval was obtained from the Health Research Ethics Committee of Federal Medical Center, Gusau, Zamfara State, Nigeria

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Author’s contributions

Conception/design of the study-COO, VKS, OBF, AOO; data collection-UOA, CMI, JCO, OFA, KWO; data analysis and interpretation-EEA, GOP, AOA, OEA; article drafting-BFU, YBA, OFA, AOO; Critical revision of the article-COO, BFU, VKS; final approval of the version to be published-all authors.

Acknowledgment

Ruth Oluwafunmike Olomofe is appreciated for proof-reading the final manuscript.

REFERENCES

Citation: Olomofe CO, Soyemi KV, Udomah BF, Owolabi AO, Ajumuka EE, Igbokwe MC, et al. (2021) Predictors of Uptake of a Potential Covid-19 Vaccine Among Nigerian Adults. J Vaccines Vaccin. 12: 442.

Copyright: © 2021 Olomofe CO, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.