Literature DB >> 34093019

Willingness of Ethiopian Population to Receive COVID-19 Vaccine.

Yitayeh Belsti1, Yibeltal Yismaw Gela1, Yonas Akalu1, Baye Dagnew1, Mihret Getnet1, Mohammed Abdu Seid2, Mengistie Diress1, Yigizie Yeshaw1, Sofonias Addis Fekadu3.   

Abstract

BACKGROUND: Despite efforts to decrease the burden, vaccine reluctance is increasing worldwide and hindering efforts to control the spread of COVID-19. Therefore, understanding the willingness of a community to receive a COVID-19 vaccine will help to develop and implement effective means of promoting COVID-19 vaccine uptake.
OBJECTIVES: This study was aimed to assess the willingness of the Ethiopian population to receive the COVID-19 vaccine and its determinant factors.
METHODS: E-survey was conducted from February 2021 to March 2021. After developing the questionnaire, the template was created on Google Forms and disseminated in public on different social media channels (e.g., Telegram, WhatsApp, Facebook, email, etc.) by using a shareable link. Descriptive statistics were performed. Finally, multivariable logistic regression analysis was done to assess their relationship with socio-demographic factors.
RESULTS: In total, 31.4% (n = 372) of respondents were willing to get a vaccine. One-third of respondents, 32.2% (n = 381), reported that COVID-19 vaccines are safe. Almost all 94.9% (n = 1124) responded that health workers should be vaccinated first. Only 21.7% (n = 257) willing to buy the vaccine if it is not provided free. Being female [OR (95% CI):1.85 (1.05-3.25)], aged less than 25 years old [OR (95% CI): 5.09 (3.41-7.59)], aged between 26-30 years [OR (95% CI): 3.57 (2.55-5.00)], being unmarried[OR (95% CI):1.12 (0.81-1.55)], urban in residence [OR (95% CI): 1.06 (0.69-1.62)], private sector worker in occupation [OR (95% CI):0.45 (0.26 -0.77)], university/college student [OR (95% CI): 0.88 (0.59-1.32)], not having a health-related job [OR (95% CI): 4.08 (2.57-6.48)], orthodox [OR (95% CI): 1.16 (0.61-2.19)], Muslim [OR (95% CI): 0.285 (0.13 -0.61)], educational status of university/above [OR (95% CI): 4.87 (3.15-7.53)] have a statistically significant association and were more likely willing to take COVID-19 than their counterparts.
CONCLUSION: This study found that only 31.4% were willing to take the COVID-19 vaccine. Being female, older age, marital status, residence, occupations, not having a health-related job, religion, educational status were statistically significantly associated with willingness to receive the COVID-19 vaccine.
© 2021 Belsti et al.

Entities:  

Keywords:  COVID-19; E-survey; Ethiopia; vaccine; willingness

Year:  2021        PMID: 34093019      PMCID: PMC8169050          DOI: 10.2147/JMDH.S312637

Source DB:  PubMed          Journal:  J Multidiscip Healthc        ISSN: 1178-2390


Introduction

COVID-19 vaccines were manufactured within one year after the World Health Organization declared COVID-19 to be an international public health emergency. Due to remarkable determination in vaccine research, development, and production, COVID-19 vaccines were developed within the shortest period in the history of vaccine production.1 The COVID-19 Vaccines Global Access (COVAX) facility is striving to deliver a minimum 2 billion doses of vaccine to concerned countries around the world in 2021, which includes at least 1.3 billion doses funded by donors to the 92 lower-income countries.2 As a component of the above actions, AstraZeneca vaccines manufactured by Serum Institute of India (SII) were delivered to Ethiopia on 6 March 2021 with the aim of curbing a recent spike in COVID-19 infections.3 COVAX facility allocated 7,620,000 doses of COVID-19 vaccine for Ethiopia of which about 2,184,000 doses were already received.4 Under the current global distribution plan, 5.4 million doses of the COVID-19 vaccine are expected to reach Ethiopia by May 2021. As per the Ministry of Health’s aim, 20% of the population in Ethiopia is planned to be vaccinated by the end of 2021.5 Despite these efforts to decrease the burden of COVID-19 through vaccination and other measures, vaccine reluctance is increasing worldwide and hindering efforts to control its spread.6 The main sources of this vaccine hesitancy may be due to a substantial amount of misinformation regarding the COVID-19 vaccine circulating on social media,7 which is augmented by an existing general high level of vaccine misinformation.8 The WHO now considers vaccine hesitancy as a major danger to world health, due to its substantial increase.8 Vaccine hesitancy specifically towards the COVID-19 vaccine is mainly due to its accelerated development which contributes to the wrong impression that the vaccine might not be appropriately verified for safety and efficacy.9 Even health workers who were expected to be models for others and prioritized for the vaccine at the start, are not all convinced to take the vaccine in Ethiopia.5 Therefore the understanding of communities’ readiness to receive a COVID-19 vaccine and the main factors influencing their attitudes towards it will help to develop and implement effective means of promoting COVID-19 vaccine uptake and to curb the recent alarming increase in COVID-19 infections. However, there is no prior study conducted among the Ethiopian population to assess their willingness to receive the COVID-19 vaccine. Therefore, the current study investigated the willingness to accept the COVID-19 vaccine among Ethiopian populations based on online survey data.

Methods and Materials

Study Setting, Design, and Period

A population-based online survey was done on individuals aged greater than 18 years from February 2021 to March 2021, parallel to the implementation of COVID-19 vaccination programs in other parts of the world. This study aimed to capture population attitudes and willingness to be vaccinated, to inform policymakers and health professionals in Ethiopia which will guide how to implement vaccination programs. The study was done based on the guidelines of the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) used for improving the quality of online surveys.10

Sample Size Determination

Calculation of sample size was done by using a single proportion formula. Since there is no prior similar study about the COVID-19 vaccine in Ethiopia, we took (p) as 50% to get the maximum sample size for the current study. n = z2pq/d2 n = 1.962×0.5×(1−0.5)/(0.05)2 ⇒ n = 384.16≈384 Here, n = Sample size, z = 1.96 (with 95% confidence level), p= prevalence estimate (50%), q = (1-p), d = Sampling error (0.05). By adding a 10% non-response rate, the sample size becomes 423.5 ≈ 424. However, our sample size was greater than this estimate.

Inclusion and Exclusion Criteria

Being an Ethiopian resident, age greater than 18 years old, and having good internet access were our inclusion criteria. Incomplete surveys were excluded.

Data Collection Instrument and Procedure

Questionnaires with informed consent and having four parts, i.e., socio-demographic, knowledge, attitudes, and perceptions were used for collecting data. Some selected socio-demographic characteristics were inquired during the study, including age group, sex (male/female), marital status (unmarried/married), educational level (university or higher/college and below), monthly family income (USD) (later categorized as: <118.62 USD, 118.62–237.25 USD, >237.25 USD), and current residence (rural/urban). Respondents’ occupation and religion were also asked. They were also asked whether their occupation is health-related or not. Additionally, a further “yes/no” query was whether they took all recommended vaccines in their lifetime or not. Overall 18 items (6 questions for knowledge, 6 questions for attitudes, and 6 questions for perceptions) were used to assess respondents’ level of knowledge, attitudes, and perceptions. All questions used for data collection were adopted from previous literature.11–16 Validity was checked by doing a pre-test on 120 participants. Modification of the tool was made based on the pre-test result. To make sure the questions are externally and internally consistent we validated through pilot testing and Cronbach’s Alpha test. We did Cronbach’s Alpha test for all questions and the results were greater than 0.7, indicating excellent internal consistency in the responses. After constructing a semi-structured questionnaire, a template was created onto Google survey tool (Google Forms) and disseminated in public on different social media channels (e.g. Telegram, WhatsApp, Facebook, email, etc.) by using a shareable link. Online approaches were used for keeping appropriate distancing and proper protection during the pandemic.

Data Processing and Analysis

The data analysis was conducted using SPSS version 21.0. After downloading the collected data from Google forms, it was cleaned, sorted, edited, and coded in Excel. Then for statistical analysis, it was imported into SPSS software. Then after reporting frequencies, percentages, standard deviations, and means, chi-square tests were conducted. Finally, the association between willingness to be vaccinated with the COVID-19 vaccine and socio-demographic variables was assessed with multivariable logistic regression analysis. The significance of statistical tests was declared with a p-value < 0.05 and at a 95% confidence interval.

Results

Socio-Demographic Characteristics of Participants

The mean age of 1184 respondents who participated was 28.86 years with a standard deviation of 3.90. Of all respondents, 91.7% were male, 78.7% had college or above education level, 66.0% were married, and 48.8% reported that they had received all the necessary vaccines in their lifetime. Almost 68.1% of respondents reported that they are civil servants and 79.1% reported that they are Orthodox Christian in religion (Table 1).
Table 1

Sociodemographic Characteristics of Study Participants on a Study Conducted to Assess the Willingness of the Ethiopian Population to Receive the COVID-19 Vaccine, 2021. (Number: 1184)

R.NVariablesCategoriesFrequencyPercent
1Age≤2525721.7
26–3056247.5
≥3136530.8
2.SexMale108691.7
Female988.3
3Marital statusUnmarried40234.0
Married78266.0
4EducationCollege/below25221.3
University/higher93278.7
5Monthly family income<118.62 USD27623.3
118.62–237.25 USD67356.8
>237.25 USD23519.8
6ResidenceUrban103287.2
Rural15212.8
7Did you receive all the essential vaccines that you are expected to take in your lifetime?Yes57848.8
No60651.2
8OccupationCivil servant80668.1
Private sector employee988.3
University/college student14812.5
Other13211.1
9ReligionOrthodox93679.1
Muslim1159.7
Protestant13311.2

Abbreviation: USD, United States dollar.

Sociodemographic Characteristics of Study Participants on a Study Conducted to Assess the Willingness of the Ethiopian Population to Receive the COVID-19 Vaccine, 2021. (Number: 1184) Abbreviation: USD, United States dollar.

Factors Associated with Willingness to Receive a COVID-19 Vaccine

Knowledge and Willingness to be Vaccinated for COVID-19

Overall, 31.4% (n = 372) of study participants reported that they are willing to receive the COVID-19 vaccine when the vaccine is available in Ethiopia, while 47.32% (n = 560) stated that they disagree to receive the vaccine and 21.31% (n = 252) said that they are undecided. As presented in Table 2, about 95.0% of participants know about the presence of the COVID-19 vaccine and half of the study participants reported that they know about the effectiveness of the COVID-19 vaccine. The majority of respondents (81.1%) responded that it is dangerous to overdose on vaccines. Vaccination is thought to increase allergic and autoimmune reactions in 43.5% and 23.1% of respondents, respectively. Respondents who know about the effectiveness of COVID-19 vaccine [OR (95% CI): 5.73 (4.29–7.67)], those who reported that it is dangerous to overdose vaccines [OR (95% CI): 0.345 (0.15–0.78)], those who said vaccinations increase allergic reactions [OR (95% CI): 0.39 (0.29–0.53)], and those who reported as yes to the idea that vaccinations increase autoimmune diseases [OR (95% CI): 0.46 (0.34–0.63)] were statistically significantly associated with willingness to be vaccinated for COVID-19 compared with those who answered “No”. However, it was found that knowing about the presence of the COVID-19 vaccine, and the first source of information about the COVID-19 vaccine does not have a significant statistical association with willingness to receive a COVID-19 vaccine.
Table 2

Response to Knowledge-Related Questions of Study Participants and Its Association with Willingness to Vaccinate COVID-19 Vaccine Among the Population in Ethiopia, 2021. (Number: 1184)

R.NWillingness to Receive COVID_19 Vaccine
ResponseTotalAgreeDisagree/Undecidedp-valueOR(95% CI)a
1Do you have information about the presence of the COVID-19 vaccine?
Yes1124 (94.9%)540584<0.0011
No40 (3.4%)20200.93(0.49,1.74)
Do not know20 (1.7%)020
2Do you have information about the effectiveness of the COVID-19 vaccine?
Yes596 (50.3%)416180<0.0011
No348 (29.4%)1002485.73(4.29, 7.67)**
Do not know240 (20.3%)4419610.29(7.11, 14.92)**
3Is there any harm in administering extra doses of vaccine to a person?
Yes960 (81.1%)488472<0.0011
No32 (2.7%)2480.345(0.15,0.78)*
Do not know192 (16.2%)481443.10(2.185, 4.40)**
4.Does vaccination increase allergic reactions?
Yes515(43.5%)219296<0.0011
No289(24.4%)1891000.39(0.29, 0.53)**
Do not know380(32.1%)1522281.11(0.85, 1.45)
5Does vaccination increase autoimmune diseases?
Yes273(23.1%)105168<0.0011
No507(42.8%)2912160.46(0.34,0.63)**
Do not know404(34.1%)1642400.92(0.67,1.25)
6Where do you get information about COVID-19 vaccines first?
Mass media399(33.7%)191208<0.0011
Social media376(31.8%)1841920.96(0.72, 1.27)
Internet389(32.9%)1652241.247(0.94, 1.65)
Newspaper20(1.7%)200

Notes: **p<0.001, *p < 0.05, aBinary logistic regression.

Response to Knowledge-Related Questions of Study Participants and Its Association with Willingness to Vaccinate COVID-19 Vaccine Among the Population in Ethiopia, 2021. (Number: 1184) Notes: **p<0.001, *p < 0.05, aBinary logistic regression.

Attitude and Willingness to be Vaccinated for COVID-19

As presented in Table 3, one-third of respondents, 32.2% (n = 381), reported that COVID-19 vaccines are safe and were willing to take the vaccine if available. About 60.1% (n = 712) reported that COVID-19 vaccines are essential for us. Half of the study participants responded that they will encourage their family/friends/relatives to get vaccinated. In total, 423 (35.7%) respondents reported that we cannot reduce COVID-19 incidence without vaccination. Most study participants, 63.4% (n = 751), said that the vaccine should be distributed freely to all Ethiopians.
Table 3

Response to Attitude-Related Questions of Study Participants and Its Association with Willingness to Vaccinate COVID-19 Vaccine Among the Population in Ethiopia, 2021. (Number: 1184)

R.NWillingness to Receive COVID_19 Vaccine
ResponseTotalAgreeDisagree/Undecidedp-valueOR(95% CI)a
1The newly discovered Covid-19 vaccines are safe.
Yes381 (32.2%)3810<0.001
No615 (51.9%)167448
Do not know188 (15.9%)12176
2The COVID-19 vaccines are essential for us.
Yes712 (60.1%)548164<0.001
No328 (27.7%)12316
Do not know144 (12.2%)0144
3I will encourage my family/friends/relatives to receive the vaccine.
Yes592 (50.0%)54052<0.001
No256 (21.6%)20236
Do not know336 (28.4%)0336
4.We cannot decrease the frequency of COVID-19 without vaccination.
Yes423 (35.7%)267156<0.001
No140 (11.8%)1612413.26(7.60,23.15)*
Do not know621 (52.4%)2773442.13(1.65,2.74)*
5The COVID-19 vaccine should be given freely to all of us.
Yes751 (63.4%)483268<0.0011
No245 (20.7%)3321211.58(7.79, 17.20)*
Do not know188 (15.9%)441445.89(4.08, 8.53)*

Notes: *p<0.001, aBinary logistic regression.

Response to Attitude-Related Questions of Study Participants and Its Association with Willingness to Vaccinate COVID-19 Vaccine Among the Population in Ethiopia, 2021. (Number: 1184) Notes: *p<0.001, aBinary logistic regression. It was found that respondents believing that it is not possible to reduce the incidence of COVID-19 without vaccination [OR (95% CI): 13.26 (7.60–23.15)], and those believing that the COVID-19 vaccine should be distributed fairly to all of us [OR (95% CI): 11.58 (7.79–17.20)] were statistically significantly associated with more willingness to receive the COVID-19 vaccine compared with those who responded “No”.

Perception and Willingness to be Vaccinated for COVID-19

Of the 1184 participants, 1096 think that the COVID-19 vaccine has side effects, of which only 500 were willing to receive the COVID-19 vaccine. Greater than half (52.0%) of respondents think that provided everyone implements preventive measures, the COVID-19 pandemic can be eradicated. Half of the study participants think that everyone should be vaccinated. Almost all, 94.9% (n = 1124), responded that health workers should be vaccinated first. Only 21.7% (n = 257) were willing to buy the vaccine if it is not provided free by the government (Table 4).
Table 4

Response to Perception-Related Questions of Study Participants and Its Association with Willingness to Vaccinate COVID-19 Vaccine Among the Population in Ethiopia, 2021. (Number: 1184)

R.NWillingness to Receive COVID_19 Vaccine
TotalAgreeDisagree/Undecidedp-valueOR(95% CI)a
1Do you think the COVID-19 vaccine may have side effects?
Yes1096 (92.6%)500596<0.0012.55(1.61,4.06)*
No88 (7.4%)60281
2Do you think the COVID-19 pandemic can be eradicated without vaccination if everyone implements preventive measures?
Yes616 (52.0%)215401<0.0012.89(2.28,3.65)*
No568 (48.0%)3452231
3Who should have been vaccinated, do you think?
Those who have not yet been infected with COVID-19512 (43.2%)228284<0.001
People infected with COVID 19/Recovered from COVID-19 infection72 (6.1%)2052
Everyone600 (50.7%)312288
4.Who do you think should get vaccinated first?
Health worker1112 (93.9%)524588<0.001
General public44 (3.7%)2024
Teacher/student28 (2.4%)1612
5Do you think the vaccine should be distributed free of charge in Ethiopia?
Yes1124 (94.9%)552572<0.001
No60 (5.1%)852
6Would you buy the vaccine if the government does not provide it freely?
Yes257 (21.7%)19364
No927 (78.3%)367560

Notes: *p<0.001, aBinary logistic regression.

Response to Perception-Related Questions of Study Participants and Its Association with Willingness to Vaccinate COVID-19 Vaccine Among the Population in Ethiopia, 2021. (Number: 1184) Notes: *p<0.001, aBinary logistic regression.

Socio-Demographic Factors and Willingness to be Vaccinated for COVID-19

As presented in Table 5, it was found that respondents being female [OR (95% CI): 1.85 (1.05–3.25)], aged less than 25 years old [OR (95% CI): 5.09 (3.41–7.59)], aged between 26–30 years [OR (95% CI): 3.57 (2.55–5.00)], unmarried [OR (95% CI):1.12 (0.81–1.55)], urban in residence [OR (95% CI): 1.06 (0.69–1.62)], private sector worker in occupation [OR (95% CI):0.45 (0.26–0.77)], university/college student [OR (95% CI): 0.88 (0.59–1.32)], not having a health-related job [OR (95% CI): 4.08 (2.57–6.48)], Orthodox in religion [OR (95% CI): 1.16 (0.61–2.19)], Muslim in religion [OR (95% CI): 0.285 (0.13–0.61)], educational status of university/above [OR (95% CI): 4.87 (3.15–7.53)] have a statistically significant association and were more likely willing to take COVID-19 than their counterparts.
Table 5

Socio-Demographic Factors Associated with Willingness to be Vaccinated for COVID-19 Among the General Population in Ethiopia, 2021

VariablesWillingness to Take COVID_19 VaccineCOR (95% CI)AOR (95% CI)
AgreeDisagree/Undecided
Sex
 Male530556ReferenceReference
 Female30682.16(1.38, 3.37)*1.85(1.05,3.25)*
Age
 ≤25821753.59(2.55, 5.07)**5.09(3.41, 7.59)**
 26–302303324.43(3.33, 5.90)**3.57(2.55, 5.00)**
 ≥31248117Reference
Marital status
 Married246156ReferenceReference
 Unmarried3144682.35(1.84, 3.01)*1.12(0.81, 1.55)
Residence
 Urban4725601.63(1.16, 2.30)*1.06(0.69,1.62)
 Rural8864ReferencesReference
Occupation
 Civil servant398408ReferenceReference
 Private sector worker54440.80(0.52, 1.21)0.45(0.26, 0.77)*
 University/college student60881.43(1.00, 2.04)*0.88(0.59,1.32)
 Other48841.71(1.17, 2.50)*1.40(0.89,2.19)
Health-related job
 Yes516498ReferencesReference
 No441262.97(2.06, 4.27)**4.08(2.57, 6.48)**
Religion
 Orthodox4005361.84(1.28, 2.66)**1.16(0.61,2.19)
 Muslim83320.53(0.31,0.90)*0.285(0.13,0.61)*
 Protestant7756ReferencesReference
Educational status
 College/below18468ReferencesReference
 University/above3765564.00(2.94, 5.44)**4.87(3.15, 7.53)**

Notes: **p < 0.001, *p < 0.05.

Socio-Demographic Factors Associated with Willingness to be Vaccinated for COVID-19 Among the General Population in Ethiopia, 2021 Notes: **p < 0.001, *p < 0.05.

Discussion

The best solution for halting the ongoing pandemic is thought to be the COVID-19 vaccine. A large number of candidates of the COVID-19 vaccine were developed, and promising results was found with several clinical trials, leading to the approval of some vaccines for use in different countries.17 The Ethiopian Government has started the COVID-19 vaccination campaign after data for this research were collected,18 hoping it is part of the pandemic solution. Even though Ethiopia has multiple vaccination services, the novelty of the COVID-19 vaccination raises many concerns about vaccine acceptance. The results of a new study conducted in Ethiopia to determine willingness to receive COVID-19 vaccinations are presented in this paper. The results represent a wide range of socio-demographic factors that influence willingness to receive the COVID-19 vaccine. Therefore our findings will be critical in improving COVID-19 vaccination-related programs through awareness creation and health education programs. Our results revealed that only 31.4% (n = 372) are willing to receive the COVID-19 vaccine and 47.3% (n = 560) and 21.3% (n = 252) disagree or are undecided to take the COVID-19 vaccine, respectively. This proportion is not enough to reach herd immunity either through past infection, spread prevention or vaccination according to the estimates of the basic reproduction number.19,20 When we compare the acceptance rate of the COVID-19 vaccine of the Ethiopian population with other vaccination programs in Ethiopia it indicates a huge difference. For instance, the study conducted to assess the acceptance of human papilloma vaccine (HPV) showed that the majority of the respondents (81.3%21 and 81.8%22) accepted that the HPV could be administered to their teenage girls. Some studies also indicated that only a small fraction of the population are vaccine non-receipt and refusal in Ethiopia towards the expanded program on immunization coverage survey.23 This level of discrepancy on the vaccine hesitancy specifically towards the COVID-19 vaccine is mainly due to its accelerated development which contributes to the wrong impression that the vaccine might not be appropriately verified for safety and efficacy.9 Moreover, the main sources of this vaccine hesitancy may be due to a substantial amount of misinformation regarding the COVID-19 vaccine circulating on social media.7 The discrepancy might be because of the introduction of the new vaccine program to the community which might affect their level of acceptance and information. Additionally, some of the above studies were conducted after the provision of the vaccine and summary of information to participants which can lead to an increased level of acceptance. The willingness rate of this study showed that the Ethiopian people are less willing to get the vaccine compared with similar studies conducted in the UK (76.9%)14 or other European countries (ranged from 62% to 80%),24 including Greece (57.7%),13 or Bangladesh (40%).12 In this context, there is an urgent need for an awareness campaign about the safety and effectiveness of the COVID-19 vaccine to be designed and implemented by Ethiopian public health officials aiming to increase acceptance rates for the COVID-19 vaccine by the Ethiopian general population. Among the different reasons raised by the study, participants attributed their vaccine hesitancy to questions regarding its safety and advantage. In this study only 15.5% agreed that the newly discovered vaccine is safe and only 12.2% responded that the vaccine is essential for them, the remaining responded that they disagree, and were undecided about the safety and its advantage for them. The results of this study showed that 92.6% of respondents reported that the COVID-19 vaccine would have some side-effects, in line with a study done in Bangladesh12 and the USA.25 The extremely rapid steps of vaccine production, the distrust of some sets of health professionals and scientists might increase the hesitancy about the COVID-19 vaccine,26 which is further amplified by the false information distributed through social media.6 This study also showed that 94.9% of study participants reported that the vaccine should be distributed free of charge in Ethiopia, which is consistent with the study conducted in Bangladesh (95%). However, another study in Indonesia reported most participants were willing to buy the COVID-19 vaccine.16 Other studies in Malaysia also showed that most of the respondents were willing to pay varying amounts (US$23; 28.9% and US$11.5; 27.2%) for the vaccine.27 Moreover, a survey in Ecuador also demonstrated that most (85%) of respondents were willing to buy a COVID-19 vaccine.28 This major gap from the other countries might be due to the financial conditions of Ethiopian people, who have an averageper capita income of $850,29 compounded by the triple threats of COVID-19, desert locusts, and floods in East Africa, and disputes30 which have all resulted in a low economic capacity to pay for COVID-19 vaccines. Our results also showed the association between socio-demographic categories and willingness to be vaccinated for COVID-19. The study found that those over 31 years old were less likely to have a COVID-19 vaccine in line with similar studies conducted in France31 and in the UK.14 However, it is not consistent with the findings of a study done in Greece.13 Those having a higher educational level were more likely to get vaccinated for COVID-19, as in studies in the UK14 and Australia.15 However, the studies conducted in Greece are the opposite.13 The above finding indicates that younger age groups and those with lower educational backgrounds should be a target population in educational campaigns about vaccine safety and efficacy because they are more hesitant to get vaccinated. Unexpectedly, health-care professionals, even those who are providing vaccinations, are consistently found to be vaccine-hesitant.32,33 Similarly, this is evidenced by our study, showing that those who have a health-related job were thought to be less likely to be vaccinated for the COVID-19 than their counterparts. An interesting finding of this study that needs further examination is sex-based differences. In the final regression model, females are more willing to take COVID-19 vaccination than males, which showed males are more vaccine-hesitant than their counterparts. In contrast, the global study by Lazarus and colleagues, a study by Malik and colleagues, and an Israeli study found that males were more likely to accept the potential COVID-19 vaccine.27–31 Awareness creation campaigns designed to specific community needs have been recognized as the most effective in increasing vaccination rates.34 Our study revealed that those who have information about the effectiveness of the COVID-19 vaccine were more likely to get vaccinated. Though most respondents were informed about COVID-19 by social media, the internet, or other sources, it does not show any association with willingness to vaccination, contrary to a study conducted in Greek populations.13 About half (50.7%) of the study participants believed that everyone should get the COVID-19 vaccine in Ethiopia. Additionally, most of the participants (93.9%) thought health professionals should be vaccinated first. This insight might be because health-care professionals are at the forefront during diagnosis and management. This is supported by a study that the probability of reporting a positive COVID-19 test was higher for frontline health workers.35

Limitations

Limitations should be considered while interpreting the result of this study. Firstly, due to its cross-sectional design, the causality cannot be attributed to the results. A longitudinal study has paramount importance for such reports. Secondly, since the study was an e-based online self-reporting method it limits the participation of vulnerable groups, such as illiterate and rural people, having no internet access and online health information resources. Since the online survey was conducted just before the beginning of the vaccination program in Ethiopia, its findings might vary after the vaccination program is established.

Conclusion and Recommendations

This study found that only a small percent of the population was willing to take the COVID-19 vaccine and most people were hesitating about vaccine safety and effectiveness. Almost all responded that health workers should be vaccinated first. Only a small proportion was willing to buy the vaccine if it is not provided free. Being female, age group, marital status, residence, occupations, not having a health-related job, religion, and educational status were statistically significantly associated with willingness to receive the COVID-19 vaccine. Our findings suggested that we need tailored education messages for the entire population to emphasize the safety and effectiveness of the COVID-19 vaccine, address the concerns of side effects of general vaccines by dispelling misconceptions, and target the most vulnerable subgroups who reported a high level of risk exposures while showed low intention to take the vaccine.
  17 in total

1.  Considering Emotion in COVID-19 Vaccine Communication: Addressing Vaccine Hesitancy and Fostering Vaccine Confidence.

Authors:  Wen-Ying Sylvia Chou; Alexandra Budenz
Journal:  Health Commun       Date:  2020-10-30

2.  Vaccine non-receipt and refusal in Ethiopia: The expanded program on immunization coverage survey, 2012.

Authors:  Julia M Porth; Abram L Wagner; Habtamu Teklie; Yemesrach Abeje; Beyene Moges; Matthew L Boulton
Journal:  Vaccine       Date:  2019-02-27       Impact factor: 3.641

3.  Acceptance of Human Papillomavirus Vaccination and Associated Factors Among Parents of Daughters in Gondar Town, Northwest Ethiopia.

Authors:  Tsigereda Alene; Asmamaw Atnafu; Zeleke Abebaw Mekonnen; Amare Minyihun
Journal:  Cancer Manag Res       Date:  2020-09-16       Impact factor: 3.989

4.  The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay.

Authors:  Li Ping Wong; Haridah Alias; Pooi-Fong Wong; Hai Yen Lee; Sazaly AbuBakar
Journal:  Hum Vaccin Immunother       Date:  2020-07-30       Impact factor: 3.452

5.  Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.

Authors:  Seth Flaxman; Swapnil Mishra; Axel Gandy; H Juliette T Unwin; Thomas A Mellan; Helen Coupland; Charles Whittaker; Harrison Zhu; Tresnia Berah; Jeffrey W Eaton; Mélodie Monod; Azra C Ghani; Christl A Donnelly; Steven Riley; Michaela A C Vollmer; Neil M Ferguson; Lucy C Okell; Samir Bhatt
Journal:  Nature       Date:  2020-06-08       Impact factor: 49.962

6.  Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19.

Authors:  Sebastian Neumann-Böhme; Nirosha Elsem Varghese; Iryna Sabat; Pedro Pita Barros; Werner Brouwer; Job van Exel; Jonas Schreyögg; Tom Stargardt
Journal:  Eur J Health Econ       Date:  2020-09

7.  Willingness of Greek general population to get a COVID-19 vaccine.

Authors:  Georgia Kourlaba; Eleni Kourkouni; Stefania Maistreli; Christina-Grammatiki Tsopela; Nafsika-Maria Molocha; Christos Triantafyllou; Markela Koniordou; Ioannis Kopsidas; Evangelia Chorianopoulou; Stefania Maroudi-Manta; Dimitrios Filippou; Theoklis E Zaoutis
Journal:  Glob Health Res Policy       Date:  2021-01-29

8.  Knowledge of, attitudes toward, and preventive practices relating to cholera and oral cholera vaccine among urban high-risk groups: findings of a cross-sectional study in Dhaka, Bangladesh.

Authors:  Tasnuva Wahed; Sheikh Shah Tanvir Kaukab; Nirod Chandra Saha; Iqbal Ansary Khan; Farhana Khanam; Fahima Chowdhury; Amit Saha; Ashraful Islam Khan; Ashraf Uddin Siddik; Alejandro Cravioto; Firdausi Qadri; Jasim Uddin
Journal:  BMC Public Health       Date:  2013-03-19       Impact factor: 3.295

Review 9.  The Long Road Toward COVID-19 Herd Immunity: Vaccine Platform Technologies and Mass Immunization Strategies.

Authors:  Lea Skak Filtenborg Frederiksen; Yibang Zhang; Camilla Foged; Aneesh Thakur
Journal:  Front Immunol       Date:  2020-07-21       Impact factor: 7.561

10.  Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study.

Authors:  Long H Nguyen; David A Drew; Mark S Graham; Amit D Joshi; Chuan-Guo Guo; Wenjie Ma; Raaj S Mehta; Erica T Warner; Daniel R Sikavi; Chun-Han Lo; Sohee Kwon; Mingyang Song; Lorelei A Mucci; Meir J Stampfer; Walter C Willett; A Heather Eliassen; Jaime E Hart; Jorge E Chavarro; Janet W Rich-Edwards; Richard Davies; Joan Capdevila; Karla A Lee; Mary Ni Lochlainn; Thomas Varsavsky; Carole H Sudre; M Jorge Cardoso; Jonathan Wolf; Tim D Spector; Sebastien Ourselin; Claire J Steves; Andrew T Chan
Journal:  Lancet Public Health       Date:  2020-07-31
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  33 in total

1.  Knowledge and willingness to receive a COVID-19 vaccine: a survey from Anhui Province, China.

Authors:  Huoba Li; Lulu Cheng; Juan Tao; Deyu Chen; Chenchen Zeng
Journal:  Hum Vaccin Immunother       Date:  2022-02-07       Impact factor: 3.452

2.  Behavioral intention and its predictors toward COVID-19 vaccination among people most at risk of exposure in Ethiopia: applying the theory of planned behavior model.

Authors:  Getachew Asmare; Kelemu Abebe; Natnael Atnafu; Gedion Asnake; Addisu Yeshambel; Eyasu Alem; Endeshaw Chekol; Tadesse Asmamaw
Journal:  Hum Vaccin Immunother       Date:  2021-12-02       Impact factor: 3.452

3.  Knowledge and Proportion of COVID-19 Vaccination and Associated Factors Among Cancer Patients Attending Public Hospitals of Addis Ababa, Ethiopia, 2021: A Multicenter Study.

Authors:  Fitalew Tadele Admasu
Journal:  Infect Drug Resist       Date:  2021-11-23       Impact factor: 4.003

4.  Intention to Receive the Second Round of COVID-19 Vaccine Among Healthcare Workers in Eastern Ethiopia.

Authors:  Bewunetu Zewude; Abreham Belachew
Journal:  Infect Drug Resist       Date:  2021-08-11       Impact factor: 4.003

5.  Acceptance of COVID-19 Vaccine and Determinant Factors Among Patients with Chronic Disease Visiting Dessie Comprehensive Specialized Hospital, Northeastern Ethiopia.

Authors:  Gete Berihun; Zebader Walle; Leykun Berhanu; Daniel Teshome
Journal:  Patient Prefer Adherence       Date:  2021-08-17       Impact factor: 2.711

Review 6.  COVID-19 vaccine hesitancy in Africa: a scoping review.

Authors:  Betty B B Ackah; Michael Woo; Lisa Stallwood; Zahra A Fazal; Arnold Okpani; Ugochinyere Vivian Ukah; Prince A Adu
Journal:  Glob Health Res Policy       Date:  2022-07-19

Review 7.  Covid-19 Vaccine Acceptance and Determinant Factors among General Public in East Africa: A Systematic Review and Meta-Analysis.

Authors:  Astawus Alemayehu; Abebaw Demissie; Mohammed Yusuf; Abebe Gemechu Lencha; Lemessa Oljira
Journal:  Health Serv Res Manag Epidemiol       Date:  2022-06-13

8.  Willingness to receive COVID-19 vaccine and associated factors among adult chronic patients. A cross-sectional study in Northwest Ethiopia.

Authors:  Masresha Derese Tegegne; Surafel Girma; Surafel Mengistu; Tadele Mesfin; Tenanew Adugna; Mehretie Kokeb; Endalkachew Belayneh Melese; Yilkal Belete Worku; Sisay Maru Wubante
Journal:  PLoS One       Date:  2022-07-12       Impact factor: 3.752

9.  Perceptions and attitudes towards Covid-19 vaccines: narratives from members of the UK public.

Authors:  Btihaj Ajana; Elena Engstler; Anas Ismail; Marina Kousta
Journal:  Z Gesundh Wiss       Date:  2022-06-30

10.  Acceptance of COVID-19 vaccine and associated factors among health professionals working in Hospitals of South Gondar Zone, Northwest Ethiopia.

Authors:  Alemu Degu Ayele; Netsanet Temesgen Ayenew; Lebeza Alemu Tenaw; Bekalu Getnet Kassa; Enyew Dagnew Yehuala; Eden Workneh Aychew; Gedefaye Nibret Mihretie; Habtamu Gebrehana Belay
Journal:  Hum Vaccin Immunother       Date:  2022-02-04       Impact factor: 3.452

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