Literature DB >> 34188572

The Willingness to Receive COVID-19 Vaccine and Its Associated Factors: "Vaccination Refusal Could Prolong the War of This Pandemic" - A Systematic Review.

Addisu Dabi Wake1.   

Abstract

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China, spreads globally, since its declaration by the World Health Organization (WHO) as a COVID-19 pandemic on March 11, 2020. COVID-19 vaccine is a crucial preventive approach that can halt this pandemic. The present systematic review was aimed to assess the level of willingness to receive COVID-19 vaccine and its associated factors.
METHODS: A comprehensive literature search was conducted by using various online databases such as PubMed/MEDLINE, HINARI, EMBASE, Google Scholar, Web of Science, Scopus, African journals, and Google for grey literature which were used to search the related articles up to the period of May 08, 2021.
RESULTS: The overall rate of participants' willingness to receive the COVID-19 vaccine was ranged from 27.7% to 91.3%, which was from Congo and China, respectively. Factors such as age, educational status, gender, income, residency, occupation, marital status, race/ethnicity, perceived risk of COVID-19, trust in healthcare system, health insurance, norms, attitude towards vaccine, perceived benefit of vaccine, perceived vaccine barriers, self-efficacy, up-to-date on vaccinations, tested for COVID-19 in the past, perceived efficacy of the COVID-19 vaccination, recommended for vaccination, political leaning, perceived severity of COVID-19, perceived effectiveness of COVID-19 vaccine, belief that vaccination makes them feel less worried about COVID-19, believing in mandatory COVID-19 vaccination, perceived potential vaccine harms, presence of chronic disease, confidence, COVID-19 vaccine safety concern, working in healthcare field, believing vaccines can stop the pandemic, fear about COVID-19, cues to action, COVID-19 vaccine hesitancy, complacency, and receiving any vaccine in the past 5 years were associated with the willingness of receive COVID-19 vaccine.
CONCLUSION: There were insufficient levels of willingness to receive COVID-19 vaccine, and several factors were associated with it. Health education should be provided concerning this vaccine to improve the willingness of the community.
© 2021 Wake.

Entities:  

Keywords:  COVID-19; acceptance; associated factors; demand; vaccine; willingness

Year:  2021        PMID: 34188572      PMCID: PMC8232962          DOI: 10.2147/RMHP.S311074

Source DB:  PubMed          Journal:  Risk Manag Healthc Policy        ISSN: 1179-1594


Introductions

The COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).1–5 Since the first case was reported from Wuhan, China, the Chinese government has taken the emergency actions to control the outbreak and has performed preliminary steps in the diagnosis and treatment of this COVID-19 pandemic.6 The commonly detected severe risk factors of COVID-19 include older age and with medical comorbidities like cancer and diabetes.1 The outbreak of COVID-19 disease in China has been brought to global attention and declared as a pandemic by the WHO on March 11, 2020.7 The COVID-19 pandemic remains a global challenge.3 It is a highly contagious disease. The WHO has declared the ongoing outbreak to be a global public health emergency.8 There is an obvious concern worldwide regarding the fact about the emerging 2019‐nCoV as a global public health threat.5 The pandemic of COVID-19 is spreading rapidly.9 The COVID-19 is spreading all over the world.10,11 Then, it has affected individuals of all nations, continents, races, and socioeconomic groups.11 This pandemic COVID-19 has significant mortality and morbidity rate.1,9,12 As per the report from WHO on 14 August 2020, there have been 20,730,456 confirmed cases of COVID-19, including 751,154 deaths worldwide.13 Besides, the significant deaths and morbidities from the COVID-19 pandemic, there will also be a substantial economic crisis by far.14 This large morbidity and socioeconomic influence have demanded extreme measures across all continents, comprising nationwide lockdowns and border closures.15 Furthermore, the COVID-19 pandemic has the potential to overwhelmingly affect young children’s development worldwide, through rises in poverty and food insecurity, loss of caregivers, heightened stress, and decreased health care. These can affect not only the whole life course of the child but also the future generations through physiological, psychological, and epigenetic changes occurring in utero and during early development that can decelerate the gains made since the turn of the century.16 Because of this COVID-19 pandemic, mental health is a major public issue.17 It has an immense influence on youth mental health.18 It has put considerable stress on patients, healthcare workers (HCWs), and healthcare systems. However, fetal diagnosis and pregnancy care must be maintained, and we must struggle to protect the susceptible population of pregnant women and their fetuses.19 COVID-19 has a higher burden on the emotional wellbeing of pregnant women and women in the early postpartum period.20 Probably, there is the potential for pregnant women to be vulnerable to mental ill health during this pandemic virus.21 Besides, COVID-19 pandemic was significantly interrupted the childhood vaccination practices.22 The COVID-19 pandemic is a serious public health emergency, it is particularly deadly in exposed populations and communities in which healthcare providers are inadequately ready to manage the infection.15 The responses required for COVID-19 pandemic were such as quarantining of entire communities, closing of schools, social isolation, and shelter in-place orders which have abruptly changed daily life to control the disease.11 The management of patients with severe COVID-19 status is significant in decreasing the mortality of the ongoing pandemic, but the truly essential measures include prevention, monitoring, and timely intervention. Besides, in addition to rapid medical responses, continuous efforts to better understand the pathogenesis of COVID-19 will certainly enlighten the optimal management of the increasing pandemic.9 The social media has the potential to provide rapid and effective dissemination routes for key information to enhance awareness about COVID-19 pandemic of the population if used responsibly and appropriately.23 To decrease the spread of COVID-19, contact tracing, testing, and social restrictions are among the most powerful approaches adopted globally due to the lack of a COVID-19 vaccine. This leads to major physical, psychological, and economic distress suffering of most countries’ citizens. Thus, a safe and effective COVID-19 vaccine is the most effective alternative to manage this pandemic.24 The COVID-19 pandemic is anticipated to continue to put large impacts of morbidity and mortality, while harshly upsetting society and economies globally. Thus, governments must be ready to make certain large-scale distribution of a COVID-19 vaccine and equitable access when a safe and effective vaccine is available. This will need sufficient health system capacity and methods to improve trust in and acceptance of the vaccine and those who deliver it.25 The study has found that information concerning the process of vaccine development, vaccine efficacy, and individual variety affects the proportion of participants reporting COVID-19 vaccination intentions. Behavioral economics offers an empirical scheme to approximate vaccine claims to target subpopulations resistant to vaccination.26

Methods

Research Questions

What is the level of willingness to receive COVID-19 vaccine globally? What are the factors associated with the willingness to receive COVID-19 vaccine?

Study Setting

The present systematic review includes all studies conducted in different countries globally.

Search Strategies

A comprehensive literature search was conducted. For instance, The search was conducted by using the following electronic databases: PubMed/MEDLINE, HINARI, EMBASE, Google Scholar, Web of Science, Scopus, African journals, and Google for grey literature. The search was done by using the following keywords; “willingness”, “acceptance”, “hesitancy”, “COVID-19”, “SARS-CoV-2”, “vaccine”, “associated factors”, and “determinant factors”. At this time, “AND” and “OR” Boolean operators were employed to integrate the keywords.

Eligibility Criteria

The inclusion criteria for the present systematic review were: all cross-sectional studies done among adults globally, published in English language, and articles published until May 08, 2021 duration, whereas the exclusion criteria were as follows: articles with poor quality and articles in which the outcome variable was not clearly defined and measured were excluded from the present systematic review.

Outcome of Interest

In the present systematic review, the primary outcome was the level of willingness to receive COVID-19 vaccine, which was reported within the original article. Likewise, the secondary outcome was factors associated with the willingness to receive COVID-19 vaccine, which was reported within the original study.

Data Extraction

All studies obtained from all databases were exported to Endnote version 8 software, and the duplicates were removed. Finally, all studies were exported to Microsoft Excel spreadsheet. The Titles and abstracts of studies retrieved using the search strategy and those from additional sources were screened to identify studies that satisfy the inclusion criteria. Then, studies that satisfied the inclusion criteria by title or abstract screening were undergone a full-text review for eligibility and data extraction. The Preferred Reporting Item for Systematic Review and Meta-Analyses (PRISMA) flowchart was used for the stepwise inclusion and exclusion of the articles. The first author, publication year, country, sample size, prevalence, and factors were included into the data extraction format.

Quality Assessment

The Newcastle–Ottawa Scale (NOS) quality assessment criteria for cross-sectional studies were used to include the studies into the present systematic review.27,28 The quality of each study was assessed using modified NOS for cross-sectional studies. It has 10 points in three domains of modified NOS components for observational studies. Thus, the studies which were scored ≥5 out of 10 points were included into the present systematic review.29

Results

A total of 2671 articles were identified through the search strategies. They were retrieved from PubMed/MEDLINE, HINARI, EMBASE, Google Scholar, Web of Science, Scopus, African journals, and Google for grey literature. From the total of 2671, 1403 articles were excluded because of duplication. Of the remaining 1268 articles, 1210 articles were excluded after reviewing of the titles and abstracts because they were not related. Furthermore, out of 58 articles selected for full-text screening, 2 were excluded due to lack or inaccessible of full text. Then, 56 full-text articles were assessed for eligibility based on the pre-setted criteria and 11 articles were excluded with a reason. Finally, 45 articles were met the eligibility criteria and included into the present systematic review (Figure 1).
Figure 1

PRISMA flowchart diagram of the study selection for systematic review on the willingness to receive COVID-19 vaccine and its associated factors. Note: Adapted from Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339 jul21 1:b2700–b2700. doi:10.1136/bmj.b2700.95

PRISMA flowchart diagram of the study selection for systematic review on the willingness to receive COVID-19 vaccine and its associated factors. Note: Adapted from Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339 jul21 1:b2700–b2700. doi:10.1136/bmj.b2700.95

Features of the Included Studies

Characteristics of the studies included in the present systematic review on the willingness to receive COVID-19 vaccine and its associated factors. Among the studies published up to May 08, 2021 globally, 45 studies were included in the present systematic review. The study design of all these studies were cross-sectional. Nine studies were done in the United States,30–38 nine studies were done in China,39–47 one study was done in Australia,48 four studies were done in Saudi Arabia,49–52 one study was done in Kuwait,53 one study was done in England,54 one study was done in Congo,55 one study was done in Greece,56 two studies were done in UK,57,58 one study was done in Malaysia,59 two studies were done in Japan,60,61 one study was done in Israel,62 one study was done in Bangladesh,63 one study was done in Jordan,64 one study was done in Iran,65 one study was done in Italy,66 one study was done in Ethiopia,67 two studies were done in France,68,69 one study was done in Vietnam,70 one study was done in Uganda,71 one study was done in Pakistan,72 one study was done in Nigeria,73 and one study was done in Latin America and the Caribbean (LAC).74 The smallest sample size was 409 and the largest was 472,521, which was reported from Ethiopia,67 and LAC,74 respectively (Table 1).
Table 1

Characteristics of the Studies Included into the Present Systematic Review on the Level of Willingness to Receive COVID-19 Vaccine and Its Associated Factors

S.NAuthorsYearSample SizeParticipantsStudy DesignCountryLevelAssociated Factors
1Ehde et al302021486Adults with MSCSUnited States66.0%Educational level, and perceived risk for COVID-19 infection.
2Guidry et al312021788Adult peopleCSUnited States30.7%Education, having insurance, subjective norms, attitude towards a vaccine, perceived susceptibility to COVID-19, perceived benefit of vaccine, low vaccine barriers, and self-efficacy.
3Kuter et al32202112,034Clinical and nonclinical staffCSUnited States63.7%Gender (male), age(older), education (more educated), Asian or White, up-to-date on vaccinations, and tested for COVID-19 in the past.
4Kwok et al3920211205NursesCSChina63%Younger age, more confidence, less complacency and more collective responsibility
5Lin et al4020203541Chinese citizens (≥18 years)CSChina28.7%Perceived benefit, and perceived barriers were found to have the highest significant odds of a definite intention
6Malik et al332020672Adult populationCSUnited States67%NA
7Mo et al4120216922University studentsCSChina78.9%Perceived efficacy of vaccination, and use of social media for COVID-19 vaccine-related information.
8Reiter et al3420202006Adults ≥18 yearsCSUnited States69%Recommendation for vaccination, being moderate or liberal in their political leaning, perceived getting of COVID-19 infection, perceived severity of COVID-19 infection, or perceived effectiveness of a COVID-19 vaccine, and perceived potential vaccine harms.
9Seale et al4820211420Adults ≥18 yearsCSAustralia80%Gender(female), age (≥70 years), presence chronic disease, and private health insurance.
10Al-Mohaithef & padhi492020992Adults ≥18 yearsCSSaudi Arabia64.72%Age (>45 years) and marital status (married)
11Alqudeimat et al5320212368General adult populationCSKuwait53.1%Gender(male), viewed vaccines as to have health-related risks, previously received an influenza vaccine, and self-perceived chances of contracting the infection.
12Bell et al5420201252Parents and guardiansCSEngland55.8%Household income, Ethnicity, and Employment.
13Chen et al4220213195Chinese adultsCSChina83.8%Lack of confidence, complacency in regard to health, and risk of the vaccine.
14Nzaji et al552020613HCWsCSCongo27.7%Male, and having a positive attitude towards a COVID-19 vaccine.
15Kourlaba et al5620211004Adult residentsCSGreece57.7%Age (>65 years), those who either themselves or a member of their household belonged to a vulnerable group, believing COVID-19 was not developed in laboratories, believing that COVID-19 is far more contagious and lethal relative to the H1N1 virus, and believing that next waves are coming, higher knowledge score regarding symptoms, transmission routes and prevention and control measures against COVID-19.
16Shaw et al3520215287HCPCSUnited States57.5%Age (older), gender (male), and White/Asian.
17Shekhar et al3620213479HCWsCSUnited States36%Age, education, income level, gender, residency
18Unroe et al3720218243Nursing home and assisted living facility staffCSUnited States69%Age (>60 years), gender (male), and race (white).
19Williams et al572020527Older adults and patients with CRDCSUK86%Perception that COVID-19 will persist
20Wong et al5920201159Residents (18 to 70 years)CSMalaysia48.2%Belief that vaccination decreases the chance of COVID-19 infection, belief that vaccination makes them feel less worried about COVID-19, Perception of susceptibility for COVID-19, gender(male).
21Yoda & Katsuyama6020211100ResidentsCSJapan65.7%Age (≥70 years), residency (rural), having underlying medical conditions, and gender (male).
22Zigron et al622021506Dentists, dental residents, and oral medicine specialistsCSIsrael85%Occupation (unemployment)
23Abedin et al6320213646Adults (≥18 years)CSBangladesh74.6%NA
24Alfageeh et al5020212137Adults (≥18 years)CSSaudi Arabia48%Receiving the seasonal influenza vaccination in the past, believed in mandatory COVID-19 vaccination, and reported high levels of concern about contracting COVID-19.
25Al-Mohaithef et al512021658Adults (≥18 years)CSSaudi Arabia53.3%High-risk perception, and higher trust in the healthcare system.
26Al-Qerem and Jarab6420211144Adults (≥18 years)CSJordan36.8%NA
27Askarian et al6520204933AdultsCSIran64.2%Having a greater exposure to social norms supportive of COVID-19 vaccination, higher perceived benefits of COVID-19 vaccination, having a greater COVID-19 vaccine safety concerns, age, gender (female), and working in the healthcare field
28Barello et al662020735University studentsCSItaly86.1%NA
29Barry et al5220201512HCWsCSSaudi Arabia70%Gender (male), believing in vaccine safety, believing vaccines can stop the pandemic, and relying on Centers for Disease Control and Prevention website for COVID 19 updates.
30Dereje et al672021409Adult (≥18 years)CSEthiopia80.9%NA
31Detoc et al6820203259Adult general population and patientsCSFrance77.6%Age (older), gender (male), fear about COVID-19, be HCWs, and perceived risk.
32Fisher et al382020991AdultsCSUnited states57.6%NA
33Gagneux-Brunon et al6920212047HCWsCSFrance76.9%Age (Older), gender (male), fear about COVID-19, perceived risk and flu vaccination during previous season.
34Gan et al4320211009AdultsCSChina60.4%Age, education, previous influenza vaccination history, trust in the effectiveness of the vaccine, and close attention to the latest news of the vaccine.
35Huynh et al702021410HCWsCSVietnam76.10%Perceived susceptibility and severity of COVID-19, perceived benefits of vaccination, Perceived barriers, and cues to action.
36Kanyike et al712021600Medical StudentsCSUganda37.3%Gender (female), marital status (single), perceived risk of getting COVID-19 in the future, receiving any vaccine in the past 5 years, and COVID-19 vaccine hesitancy.
37Luodan et al4420208040HCWsCSChina67.1%Perception of disease severity, self-infection risk and disease can be prevented by vaccine.
38Machida et al6120212956Adults (20 to 79 years)CSJapan62.1%Gender, age, income level, perceived effectiveness of the COVID-19 vaccine, and willingness to protect others by getting oneself vaccinated.
39Malik et al7220215237HCWsCSPakistan70.25%Age, gender, taking direct care of COVID-19 patients, higher education, and prior COVID-19 infection.
40Sherman et al5820211500Adults (≥18 years)CSUK64%Age, having been vaccinated for influenza last winter, perceiving a greater risk of COVID-19 to people, more positive general COVID-19 vaccination beliefs and attitudes, beliefs of the side effects, and belief that only people who are at risk of serious illness should be vaccinated for COVID-19.
41Tobin et al7320211228Adults (>18 years)CSNigeria50.2%Age, gender, trust in government, trust in public health authorities, confidence in vaccine developers, willingness to pay for and travel for a vaccine.
42Urrunaga-Pastor et al742021472,521Adults (≥18 years)CSLAC80.0%Gender, residency, compliance with community mitigation strategies, afraid of getting serious ill from COVID-19.
43Wang et al4720202058Adults (≥18 years)CSChina91.3%Gender(male), marital status (married), perceiving a high risk of infection, being vaccinated against influenza in the past season, and believing in the efficacy of COVID-19 vaccination.
44Wang et al452020806NursesCSChina40%Being in a Private sector, having chronic conditions, encountering with suspected or confirmed COVID-19 patients, and having accepted influenza vaccination in 2019.
45Wong et al4620211200Adults (≥18 years)CSChina37.2%Perceived severity, Perceived benefits, cues to action, self-reported health outcomes, and trust in healthcare systems.

Abbreviations: HCWs, health-care workers; HCP, healthcare personnel; CS, cross-sectional; MS, multiple sclerosis; UK, United Kingdom; CRD, chronic respiratory disease; NA, Not applicable; LAC, Latin America and the Caribbean.

Characteristics of the Studies Included into the Present Systematic Review on the Level of Willingness to Receive COVID-19 Vaccine and Its Associated Factors Abbreviations: HCWs, health-care workers; HCP, healthcare personnel; CS, cross-sectional; MS, multiple sclerosis; UK, United Kingdom; CRD, chronic respiratory disease; NA, Not applicable; LAC, Latin America and the Caribbean.

The Willingness to Receive COVID-19 Vaccine

As briefly displayed in (Table 1), 45 studies from various countries were included into the present systematic review. A large variability was stated on the level of willingness to receive COVID-19 vaccine in different countries. The highest level of willingness towards receiving the COVID-19 vaccine was reported from China, which was 91.3%,47 whereas the lowest level of willingness towards receiving the COVID-19 vaccine was recorded in Congo, which was 27.7%.55

Factors Associated with the Willingness to Receive COVID-19 Vaccine

From a total of 45 studies, 6 studies have not assessed the factors associated with the willingness of receiving COVID-19 vaccine. They were two studies from the United States,33,38 one study from Bangladesh,63 one study from Jordan,64 one study from Italy,66 and one study from Ethiopia.67 Generally, the present systematic review has briefly summarized factors associated with the willingness of receiving COVID-19 vaccine. They were; age, educational status, gender, income, residency, occupation, marital status, race/ethnicity, perceived risk of COVID-19, trust in healthcare system, health insurance, norms, attitude towards a vaccine, perceived benefit of vaccine, perceived vaccine barriers, self-efficacy, up-to-date on vaccinations, tested for COVID-19 in the past, responsibility, perceived efficacy of the COVID-19 vaccination, use of social media for COVID-19 vaccine-related information, recommended for vaccination, political leaning, perceived severity of COVID-19, perceived effectiveness of a COVID-19 vaccine, belief that vaccination makes them feel less worried about COVID-19, believing in mandatory COVID-19 vaccination, perceived potential vaccine harms, presence of chronic disease, previously received an influenza vaccine, confidence, having COVID-19 vaccine safety concern, working in the healthcare field, believing vaccines can stop the pandemic, relying on Centers for Disease Control and Prevention website for COVID-19 updates, fear about COVID-19, being HCWs, close attention to the latest news of the vaccine, cues to action, COVID-19 vaccine hesitancy, receiving any vaccine in the past 5 years, perception of disease can be prevented by vaccine, willingness to protect others by getting oneself vaccinated, taking direct care of COVID-19 patients, belief that only people who are at risk of serious illness should be vaccinated, trust in government, complacency, willingness to pay for and travel for a vaccine, themselves or a member of their household belonged to a vulnerable group, trust in public health authorities, believing COVID-19 virus was not developed in laboratories, believing COVID-19 is far more contagious and lethal relative to the H1N1 virus, compliance with community mitigation strategies, being in a private sector, encountering with suspected or confirmed COVID-19 patients, self-reported health outcomes, believing that next waves COVID-19 are coming, knowledge score regarding symptoms, transmission routes and prevention and control measures against COVID-19, and perception that COVID-19 will persist (Table 1).

Discussion

It is known that more than half of the world’s population faces long-term restrictions as the new normal to avoid the spread of COVID-19.75 As the COVID-19 pandemic is extensive across the worldwide, there is an urgent requirement to develop effective vaccines as the most powerful approach to stop the pandemic.76 Scientists are suffering to offer a verified treatment for COVID-19. This is due to that the development of vaccines against COVID-19 and their global access are a priority to end the pandemic. However, the success of this approach depends on individuals’ willingness of immunization. Questions like “what will happen if the individuals’ do not want the injection?” is what makes worry the experts. Because of this, numerous experts have warned against a worldwide for the decrease in community trust in immunization and the rise of vaccine hesitancy during the past decade.77 The present systematic review has included all cross-sectional studies conducted on the willingness to receive COVID-19 vaccine and its associated factors. This is because understanding the level of willingness to receive and the associated factors of COVID-19 vaccine would provide valuable knowledge and direction for clinical implementation and intervention development. The present systematic review has reviewed all evidences on the willingness to receive COVID-19 vaccine and its associated factors. During this, 45 cross-sectional studies from different countries were included. The findings of the present systematic review revealed that there was a large variability on the level of willingness to receive COVID-19 vaccine in different countries. The overall rate of participants’ willingness to receive a COVID-19 vaccine was ranged from 27.7% to 91.3%, which was reported from Congo and China, respectively.47,55 This suggests that there is a serious problem to manage and control of the current COVID-19 pandemic. For the purpose of a permanent solution, vaccines are being developed by numerous countries for the safety of their populations for the current COVID-19 pandemic.60 This is because, if a vaccine becomes available, it might be achievable to develop herd immunity and guard those who are most susceptible to the critical consequences of COVID-19.75 However, with this level of willingness towards receiving COVID-19 vaccine, it would be extremely difficult to manage and control the current COVID-19 pandemic. By in turn, this might prolong the period of this pandemic affecting all populations of age category globally. Concerning to the associated factors, from a total of 45 studies included in the present systematic review, 39 of the studies have assessed the associated factors with individuals’ willingness of receiving COVID-19 vaccine. From 39 studies assessed the associated factors with willingness of receiving COVID-19 vaccine, some of the studies have reported that sociodemographic factors such as age,32,35–37,39,43,48,49,56,58,60,61,65,68,69,72,73 educational status,30–32,36,43,72 gender,32,35–37,47,48,52,53,55,59–61,65,68,69,71–74 income,36,54,61 residency,36,60,74 occupation,54,62 marital status,47,49,71 and race/ethnicity32,35,37,54 were factors associated with willingness of receiving COVID-19 vaccine. This might be due to that education is a powerful strategy to disseminate the essential information about the health of individuals. In fact, the level of education of people will affect the general knowledge and awareness of the individuals in particular, whereas residency has also an effect on information achievement since the urban population receives information more easily when compared to the rural population. Occupation could also affect the willingness of individuals towards receiving COVID-19 vaccine in many ways of which like being HCWs or being stressed for his/her work is among them while they are eager for vaccination relative to their contrary. Age has also an impact on the willingness of people towards this vaccine. Particularly, older age individuals might have a sense of responsibility and accountability for themselves and their families’ relative to the youngest age group individuals. The level of income also affects the willingness of an individual towards this vaccine. The possible justification would be that the expenses paid for the transport purpose. Concerning to the marital status; this could also affect the willingness of the individual towards this vaccine, while married individuals have relatively a feeling of more responsible because of their collective family responsibilities. Furthermore, the study reported that factors such as perceived risk of COVID-19,30,31,34,44,47,50,51,53,58,59,68–71 trust in healthcare system,46,51 health insurance,31,48 norms,31,65 attitude towards a vaccine,31,55,58 perceived benefit of vaccine,31,40,46,65,70 perceived vaccine barriers,31,40,70 self-efficacy,31 up-to-date on vaccinations,32 being tested for COVID-19 in the past,32,72 responsibility,39 perceived efficacy of the COVID-19 vaccination,41,47 use of social media for COVID-19 vaccine-related information,41 recommended for vaccination,34 political leaning,34 perceived severity of COVID-19,34,44,46,70,74 perceived effectiveness of a COVID-19 vaccine,34,43,59,61 belief that vaccination makes them feel less worried about COVID-19,59 believing in mandatory COVID-19 vaccination,50 perceived potential vaccine harms,34,42,53,58 presence of chronic disease,45,48,60 previously received an influenza vaccine,43,45,47,50,53,58,69 confidence,39,42,73 having COVID-19 vaccine safety concern,52,65 working in the healthcare field,65 believing vaccines can stop the pandemic,52 relying on Centers for Disease Control and Prevention website for COVID-19 updates,52 fear about COVID-19,68,69 being HCWs,68 close attention to the latest news of the vaccine,43 cues to action,46,70 COVID-19 vaccine hesitancy,71 receiving any vaccine in the past 5 years,71 perception of disease can be prevented by vaccine,44 willingness to protect others by getting oneself vaccinated,61 taking direct care of COVID-19 patients,72 belief that only people who are at risk of serious illness should be vaccinated,58 trust in government,73 complacency,39,42 willingness to pay for and travel for a vaccine,73 themselves or a member of their household belonged to a vulnerable group,56 trust in public health authorities,73 believing COVID-19 virus was not developed in laboratories,56 believing COVID-19 is far more contagious and lethal relative to the H1N1 virus,56 compliance with community mitigation strategies,74 being in a private sector,45 encountering with suspected or confirmed COVID-19 patients,45 self-reported health outcomes,46 believing that next waves COVID-19 are coming,56 knowledge score regarding symptoms, transmission routes and prevention and control measures against COVID-19,56 and perception that COVID-19 will persist57 were factors associated with the willingness of receiving COVID-19 vaccine. This might be due to that behavioral factors have a critical influence on the newly developed things, particularly like that of vaccines. Perception or attitude towards COVID-19 vaccine might be due to lack of sufficient knowledge or awareness concerning to this vaccine. In fact, the information has a strong effect on the awareness of individuals because it would clarify the misunderstandings that make people confused. Besides, people might consider the personal protection behaviours as a substitute of vaccination in the prevention of COVID-19. They may believe commitment to these precautions is adequate for the prevention of this pandemic.78 This evidence suggests that the community should be aware that personal protection behaviour could not be a substitute for vaccination to prevent COVID-19 infection. This might be because of the misinformation dissemination within the community. Furthermore, a pandemic is a community experience putting a substantial effect on all citizens and demanding a cooperative response.79 However, vaccine hesitancy leftovers a barrier to community vaccination against extremely infectious diseases.80 It is a key impending problem for this pandemic.81 It remains insidious and multifactorial even in individuals of COVID-19 survivors, since most recovered patients revealed to be refusing or uncertain regarding SARS-CoV-2 vaccination.79 COVID-19 vaccine hesitancy is common and can be a barrier to the distribution of vaccines.82 This is because of that the community would be concerned for the safety of the vaccine, since COVID-19 vaccines were rapidly developed globally. This could contribute to vaccine hesitancy.80

The Importance of Understanding the Level of Willingness to Receive COVID-19 Vaccine and Its Associated Factors

The COVID-19 pandemic has significantly harmed the lives of individuals globally. This is by affecting their economic welfare, their health, and changing the behavior of our society extensively. This condition may lead to a strong incentive for individuals to buy a COVID-19 vaccine.83 However, there is controversy about the safety and efficacy of COVID-19 pandemic vaccines, which may contribute to low vaccination rates.84 Besides, even though researchers have been working rapidly and collaboratively for the development of vaccines against this pandemic, the effort of the scientific community in searching a vaccine for COVID-19 may be hindered by a diffused vaccine hesitancy.85 The actual effectiveness of vaccination against COVID-19 might be challenged by vaccine hesitancy.86 The decline of participants’ willingness to vaccinate for COVID-19 may undermine the pandemic response and the public health advantages’ of an effective vaccine.87 Besides, the low vaccination response could make the accomplishment of herd immunity to COVID-19 difficult and unnecessarily extend the pandemic.88 Since HCWs are amongst the first to receive COVID-19 vaccines, their perception or attitude about the safety of these vaccines should be addressed as early as possible.89 Therefore, advanced understanding of young adults’ willingness to take a COVID-19 vaccine and the possible factors affecting their vaccine intention will contribute to the development and implementation of effective methods to encourage COVID-19 vaccine uptake among this group.90 This finding was supported by the study which reported that addressing sociodemographic determinants relating to the COVID-19 vaccination may support to augment the utilization of the worldwide vaccination program to tackle future pandemics.49 Improving the understanding of vaccination hesitancy in the perspective of COVID-19 and finding and using policies to control it, may be as significant as discovering a safe and effective vaccine.91 Besides, in order to improve attitudes towards COVID-19 vaccination, it is very vital to start providing community health education on the COVID-19 vaccine as soon as possible prior to an availability of this vaccine.88 Overall, based on these evidences, targeted health education interventions are required to augment the uptake of the future COVID-19 vaccine.49 In addition to this, by educating the general population about the safety, advantages, and efficacy of vaccines can we hope to prevent the needless delay of the COVID-19 pandemic.88 It is crucial that the public communicate their understanding that the risk of unfavorable results from anything other than rigorous product development likely will reverberate throughout the population and possibly spill into the fear of vaccines. Swiftness is essential for this urgently required vaccine. However, ensuring it is safe is an ethical and humanistic responsibility even if no one in the community is inspecting.92 Finally, in the present systematic review, the level of participants’ willingness towards COVID-19 vaccine and its associated factors throughout different countries have been briefly summarized. This showed that there were some countries that have very low levels of willingness towards COVID-19 vaccine. Furthermore, there were several factors that were found to have an association with the willingness to receive this vaccine (Table 1). This suggests that there is a critical problem. This is because if they have unfavorable attitude, perceptions, and hesitancy towards this vaccine, these would have a massive effect on the vaccination rate, particularly if they are HCWs. The study suggested that it is essential to ensure that both the HCWs and the public have access to reliable and sufficient information about vaccines to increase a vaccine acceptance rate.93 This is due to that in fact, if HCWs will not eager to recommend the community to have COVID-19 vaccine, this would have a critical effect on the population’s utilization of this vaccine. Therefore, these could prolong the era of this COVID-19 pandemic. This is supported by the study which stated that future education must be prioritized for HCWs for vaccine acceptance by the population. This is due to that their attitude regarding the vaccines has proved to be a determining factor significant to their own use of the vaccine and their willingness to recommend a vaccine to their patients.94

Conclusion

COVID-19 has been initially reported from China. Then after, rapidly crossed all borders by infecting people of all age groups globally. It is known that this pandemic puts a critical worldwide confrontation with large impacts and several undisclosed events. This pandemic has caused a considerable loss of life and developed into a historic danger to several healthcare systems globally. The crucial element in this initiative is the human behavior to accept a COVID-19 vaccine. The overall rate of participants’ willingness to receive the COVID-19 vaccine was ranged from 27.7% to 91.3%, which was from Congo and China, respectively. Age, educational status, gender, income, residency, occupation, marital status, race/ethnicity, perceived risk of COVID-19, trust in healthcare system, health insurance, norms, attitude towards vaccine, perceived benefit of vaccine, perceived vaccine barriers, self-efficacy, up-to-date on vaccinations, tested for COVID-19 in the past, responsibility, perceived efficacy of the COVID-19 vaccination, use of social media for COVID-19 vaccine-related information, recommended for vaccination, political leaning, perceived severity of COVID-19, perceived effectiveness of a COVID-19 vaccine, belief that vaccination makes them feel less worried about COVID-19, believing in mandatory COVID-19 vaccination, perceived potential vaccine harms, presence of chronic disease, previously received an influenza vaccine, confidence, having COVID-19 vaccine safety concern, working in the healthcare field, believing vaccines can stop the pandemic, relying on Centers for Disease Control and Prevention website for COVID-19 updates, fear about COVID-19, being HCWs, close attention to the latest news of the vaccine, cues to action, COVID-19 vaccine hesitancy, receiving any vaccine in the past 5 years, perception of disease can be prevented by vaccine, willingness to protect others by getting oneself vaccinated, taking direct care of COVID-19 patients, belief that only people who are at risk of serious illness should be vaccinated, trust in government, complacency, willingness to pay for and travel for a vaccine, themselves or a member of their household belonged to a vulnerable group, trust in public health authorities, believing COVID-19 virus was not developed in laboratories, believing COVID-19 is far more contagious and lethal relative to the H1N1 virus, compliance with community mitigation strategies, being in a private sector, encountering with suspected or confirmed COVID-19 patients, self-reported health outcomes, believing that next waves COVID-19 are coming, knowledge score regarding symptoms, transmission routes and prevention and control measures against COVID-19, and perception that COVID-19 will persist were factors associated with the willingness of receiving COVID-19 vaccine. The present systematic review has addressed crucial issues for healthcare providers, stakeholders, governments, health policy-makers and implementers, researchers, and for the community as a whole. The significant policy effort may be vital to improve the community willingness to accept a COVID-19 vaccine to have sufficient vaccination rates. It is very significant to start providing health education to the communities on the issue of COVID-19 vaccination as soon as possible in order to improve their willingness towards COVID-19 vaccination. The general public should be aware about the safety, benefits, and efficacy of a vaccine for COVID-19 to prevent the unnecessary prolongation of the COVID-19 pandemic. Lastly, since COVID-19 vaccine is found to be a crucial preventive approach that can halt this pandemic, all barriers that could influence the willingness of receiving COVID-19 vaccine should be urgently addressed by community health strategies.
  80 in total

1.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  BMJ       Date:  2009-07-21

2.  A future vaccination campaign against COVID-19 at risk of vaccine hesitancy and politicisation.

Authors: 
Journal:  Lancet Infect Dis       Date:  2020-05-20       Impact factor: 25.071

3.  Determinants of COVID-19 Vaccine Acceptance in Saudi Arabia: A Web-Based National Survey.

Authors:  Mohammed Al-Mohaithef; Bijaya Kumar Padhi
Journal:  J Multidiscip Healthc       Date:  2020-11-20

4.  Assessment of U.S. health care personnel (HCP) attitudes towards COVID-19 vaccination in a large university health care system.

Authors:  Jana Shaw; Telisa Stewart; Kathryn B Anderson; Samantha Hanley; Stephen J Thomas; Daniel A Salmon; Christopher Morley
Journal:  Clin Infect Dis       Date:  2021-01-25       Impact factor: 9.079

5.  Intention to Receive the COVID-19 Vaccination in China: Application of the Diffusion of Innovations Theory and the Moderating Role of Openness to Experience.

Authors:  Phoenix Kit-Han Mo; Sitong Luo; Suhua Wang; Junfeng Zhao; Guohua Zhang; Lijuan Li; Liping Li; Luyao Xie; Joseph T F Lau
Journal:  Vaccines (Basel)       Date:  2021-02-05

6.  COVID-19 vaccination intention in the UK: results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey.

Authors:  Susan M Sherman; Louise E Smith; Julius Sim; Richard Amlôt; Megan Cutts; Hannah Dasch; G James Rubin; Nick Sevdalis
Journal:  Hum Vaccin Immunother       Date:  2020-11-26       Impact factor: 3.452

7.  Prevalence of diabetic peripheral neuropathy in Africa: a systematic review and meta-analysis.

Authors:  Wondimeneh Shibabaw Shiferaw; Tadesse Yirga Akalu; Yeshamble Work; Yared Asmare Aynalem
Journal:  BMC Endocr Disord       Date:  2020-04-15       Impact factor: 2.763

Review 8.  Coronavirus disease 2019 (COVID-19) pandemic and pregnancy.

Authors:  Pradip Dashraath; Jing Lin Jeslyn Wong; Mei Xian Karen Lim; Li Min Lim; Sarah Li; Arijit Biswas; Mahesh Choolani; Citra Mattar; Lin Lin Su
Journal:  Am J Obstet Gynecol       Date:  2020-03-23       Impact factor: 8.661

9.  Acceptance of a COVID-19 Vaccine in Japan during the COVID-19 Pandemic.

Authors:  Masaki Machida; Itaru Nakamura; Takako Kojima; Reiko Saito; Tomoki Nakaya; Tomoya Hanibuchi; Tomoko Takamiya; Yuko Odagiri; Noritoshi Fukushima; Hiroyuki Kikuchi; Shiho Amagasa; Hidehiro Watanabe; Shigeru Inoue
Journal:  Vaccines (Basel)       Date:  2021-03-03

10.  Vaccine hesitancy: the next challenge in the fight against COVID-19.

Authors:  Amiel A Dror; Netanel Eisenbach; Shahar Taiber; Nicole G Morozov; Matti Mizrachi; Asaf Zigron; Samer Srouji; Eyal Sela
Journal:  Eur J Epidemiol       Date:  2020-08-12       Impact factor: 8.082

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  55 in total

1.  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

2.  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

3.  Intention to get COVID-19 vaccines: Exploring the role of attitudes, subjective norms, perceived behavioral control, belief in COVID-19 misinformation, and vaccine confidence in Northern India.

Authors:  Fatema Husain; Md Ghazi Shahnawaz; Neda Haseeb Khan; Heena Parveen; Krishna Savani
Journal:  Hum Vaccin Immunother       Date:  2021-09-21       Impact factor: 4.526

4.  Ready for Vaccination? COVID-19 Vaccination Willingness of Older People in Austria.

Authors:  Lukas Richter; Stephan Schreml; Theresa Heidinger
Journal:  Front Public Health       Date:  2022-06-03

5.  Impact of Coronavirus Disease of 2019 Vaccine on Health and Physical Activities Among Physical Education Students in China.

Authors:  Rizwan Ahmed Laar; Zhengyi Zhang; Rashid Menhas; Lei Zhang; Shicheng Zhu; Xin Fan; Wei Wang; Shumin Li
Journal:  Front Public Health       Date:  2022-07-04

6.  SARS-CoV-2 variants and the global pandemic challenged by vaccine uptake during the emergence of the Delta variant: A national survey seeking vaccine hesitancy causes.

Authors:  Fadi AlJamaan; Mohamad-Hani Temsah; Khalid Alhasan; Shuliweeh Alenezi; Ali Alhaboob; Abdulkarim Alrabiaah; Mohammed Batais; Fatimah Alshahrani; Rasha Asaad Assiri; Hind Bafaqih; Ali Alaraj; Bedoor Al Qadrah; Abdulilah Alhaidary; Khaled Saad; Basema Saddik; Rabih Halwani; Ali A Rabaan; Sarah Al-Subaie; Mazin Barry; Jaffar A Al-Tawfiq
Journal:  J Infect Public Health       Date:  2022-06-17       Impact factor: 7.537

7.  Willingness to receive the COVID-19 vaccine and associated factors among residents of Southwestern Ethiopia: A cross-sectional study.

Authors:  Dabala Jabessa; Firomsa Bekele
Journal:  Patient Prefer Adherence       Date:  2022-05-03       Impact factor: 2.314

8.  Parents' attitudes, knowledge and practice towards vaccinating their children against COVID-19: a cross-sectional study.

Authors:  Walid Al-Qerem; Abdel Qader Al Bawab; Alaa Hammad; Tasneem Jaber; Sawsan I Khdair; Haneen Kalloush; Jonathan Ling; Rami Mosleh
Journal:  Hum Vaccin Immunother       Date:  2022-03-03       Impact factor: 4.526

9.  Race-ethnicity and COVID-19 Vaccination Beliefs and Intentions: A Cross-Sectional Study among the General Population in the San Francisco Bay Area.

Authors:  Yingjie Weng; Di Lu; Jenna Bollyky; Vivek Jain; Manisha Desai; Christina Lindan; Derek Boothroyd; Timothy Judson; Sarah B Doernberg; Marisa Holubar; Hannah Sample; Beatrice Huang; Yvonne Maldonado; George W Rutherford; Kevin Grumbach
Journal:  Vaccines (Basel)       Date:  2021-11-29

10.  Knowledge and Perceptions about COVID-19 among Health Care Workers: Evidence from COVID-19 Hospitals during the Second Pandemic Wave.

Authors:  Petros Ioannou; Stamatis Karakonstantis; Anna Mathioudaki; Angelos Sourris; Vasiliki Papakosta; Periklis Panagopoulos; Vasilis Petrakis; Dimitrios Papazoglou; Kostoula Arvaniti; Christina Maria Trakatelli; Evgenia Christodoulou; Garyfallia Poulakou; Konstantinos N Syrigos; Vasiliki Rapti; Konstantinos Leontis; Dimitrios Karapiperis; Diamantis P Kofteridis
Journal:  Trop Med Infect Dis       Date:  2021-07-19
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