Acceptability of the COVID-19 Vaccine among Adults in Saudi Arabia: A Cross-Sectional Study of the General Population in the Southern Region of Saudi Arabia
Department of Pharmaceutical Chemistry, College of Pharmacy, Najran University, Najran 66462, Saudi Arabia
Vaccines 2022, 10(1), 41; https://doi.org/10.3390/vaccines10010041
Submission received: 3 November 2021
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Revised: 1 December 2021
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Accepted: 6 December 2021
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Published: 29 December 2021
(This article belongs to the Special Issue Vaccine Acceptance and Uptake: Insights from Behavioural and Social Sciences)
Abstract
:Vaccines afford protection against infectious diseases. However, a sizeable part of the population refuse vaccinations and continue to dispute the evidence supporting vaccinations. The objective of this study was to determine the prevalence of COVID-19 vaccination uptake and its determinants among the Saudi population in the southern region of Saudi Arabia. A cross-sectional survey studied COVID-19 vaccine acceptance in adults in Saudi Arabia, targeting the general population in the southwestern region. Data were collected through an online survey questionnaire tool. All data were analysed using SPSS version 23.0. The majority (57.29%) of the participants were willing to receive the new COVID-19 vaccine, whereas almost 64% believed it is necessary to take the COVID-19 vaccine to protect oneself and that the vaccine is safe, efficient and effective. The data showed that perceived risk of COVID-19 (p = 0.015), history of previous vaccination against seasonal influenza (p = 0.000), and trust in the healthcare system (p = 0.025) were significant predictors for COVID-19 vaccine acceptance. We conclude that participants’ trust in the healthcare system, perceived risk of contracting COVID-19, and history of previous vaccination against seasonal influenza were significant predictors for COVID-19 vaccine acceptance. Knowing the acceptance rates for the COVID-19 vaccination can aid state agencies, medical practitioners, and other entities in reducing the impact of vaccine avoidance.
1. Introduction
The proven success of vaccines in preventing disease, disability, and death from vaccine-preventable ailments has rendered vaccines the focus of attention in the fight against new emerging infections and illnesses. Vaccines now afford protection even against several cancer types. Indeed, an ample array of proof advocates immunisation and vaccination [1]. However, people in several parts of the world refuse vaccinations and continue to dispute the evidence supporting vaccinations; Saudi Arabia is no exception [2,3]. Vaccine hesitancy (VH) is defined as people’s unwillingness to receive vaccines or a delay in vaccine acceptance, despite vaccination drives offered by health administrations. This attitudinal aspect is context- and vaccine-specific and emerges from a multifaceted judgment-making procedure influenced by many factors, which can be divided into three categories: convenience, complacency, and confidence [4].
Health literacy is a broad notion that refers to people’s abilities to fulfil the complicated demands of modern health [5]. “Health literacy is linked to literacy and entails people’s knowledge, motivation, and competence to access, understand, appraise, and apply health information to make judgments and take decisions in everyday life concerning healthcare, disease prevention, and health promotion to maintain or improve quality of life throughout the life course,” according to the Sørensen Integrated Model [6].
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, universally designated “COVID-19”, had infected more than 105 million people in 144 countries as of 4 February 2021 [5,7,8]. COVID-19 poses a substantial threat to the healthcare system, along with devastating economic consequences across the globe, to which the Kingdom of Saudi Arabia (KSA) is not immune [9,10]. Pandemics have struck Saudi Arabia in the past, notably the Middle East respiratory syndrome coronavirus (MERS-CoV). The continuing COVID-19 epidemic [11,12] has quickly spread across the Kingdom, resulting in 545,992 laboratory-confirmed cases and 8623 deaths as of 12 September 2021.
Developing a vaccine is considered the most critical intervention to fight such pandemics. Bringing a new vaccine to the market is a long process that involves initial product development, pharmaceutical quality determination, and pre-clinical evaluation in laboratory and animal models, followed by three phases of clinical trials, which involve clinical efficacy and safety studies. At this stage, the data submitted by the developers are evaluated, and if found satisfactory, the product is authorized by regulatory agencies to be used in the public at a global level, subject to fulfilment of other requirements. However, to control the pandemic, the development of COVID-19 vaccines has been carried out rapidly utilizing the knowledge gained with existing vaccines. Though the development of COVID-19 vaccines was fast-tracked, all steps were taken to ensure their safety and effectiveness. Furthermore, even after the vaccine is released into the market, various regulatory agencies worldwide continuously monitor its ongoing safety and use in real life [13,14].
Nevertheless, information related to the public’s attitude and perception towards COVID-19 vaccine acceptability is limited, especially in the Middle Eastern countries. Studies report that several factors influence the acceptance of a new vaccine [15,16,17,18,19]. These include the efficacy and safety of the vaccine, unfavourable health outcomes, misconceptions and misinformation about the need for vaccination, trust deficit in the healthcare system, and absence of knowledge regarding vaccine-preventable diseases amongst the community [15,16]. Misinformation steering towards vaccine hesitancy could put public health in jeopardy and cause hurdles in responding to the current crisis. Thus, the need of the hour is to assess the public’s perception regarding vaccine acceptance and to frame specific strategic interventions to create a positive public perception towards the COVID-19 vaccine.
The Ministry of Health in Saudi Arabia has taken concrete steps to ensure that the COVID-19 vaccination drive is successful and the most vulnerable people receive the vaccine on a priority basis. So far, the public has shown a strong willingness to receive the COVID-19 vaccination, with more than 39 million people receiving the vaccine [20]. In addition, to encourage vaccination, the Ministry of Commerce has urged retailers such as electronic and retail stores, cafés, and restaurants to participate in the effort by offering discounts to consumers who have received the coronavirus vaccination.
The findings from this research will provide data central to the development of evidence-based interventions to improve health literacy further and reduce vaccine hesitancy in the general public in Saudi Arabia. The data may be useful for policymakers for the effective implementation of the public vaccination drive during the COVID-19 pandemic.
The current study’s specific objectives were to find correlations of COVID-19 vaccination acceptance, as evaluated by individuals’ desire to obtain the vaccine (i.e., vaccine acceptability). The factors that would influence the participants’ decisions about receiving a COVID-19 vaccine were examined. The willingness of the target population to volunteer for a COVID-19 vaccine clinical trial in Saudi Arabia was assessed.
2. Methodology
2.1. Study Design
A cross-sectional survey studied COVID-19 vaccine acceptance in adults in Saudi Arabia, targeting the general population in the southwestern region.
2.2. Eligibility Criteria
Eligibility requirements included being at least 18 years old and currently residing in Saudi Arabia. Participants were recruited for this study when they were determined to be eligible and had given their informed consent before completing their online study survey.
2.3. Data Collection
Data were collected through an online survey questionnaire tool. The tool link was distributed to the participants through online social media platforms such as WhatsApp, Twitter, and email. A simple random and snowball sampling technique was used to recruit the study participants.
2.4. Study Tool
We developed survey items on vaccination acceptance based on past research involving vaccination behaviours [19,21,22,23,24,25]. The participants were given a questionnaire that was divided into three parts: the first part collected demographic and background information; the second part focused on participants’ knowledge and perceptions of COVID-19, willingness to accept the COVID-19 vaccine, trust in the health system, and willingness to volunteer for a COVID-19 vaccine clinical trial in Saudi Arabia; and the third part included three questions to assess vaccine hesitancy.
2.5. Reliability Analysis
Pilot research was conducted among the study population to assess the study questionnaire’s reliability and validity. A total of 30 respondents were recruited (10 from each region). The questionnaire’s reliability test resulted in a Cronbach’s alpha of 0.871, suggesting that it has extremely excellent internal consistency. The pilot research participants were included in the final data analysis.
2.6. Sample Size Calculation
The three major cities (Najran, Abha/Khamis Mushait, and Jizan) in the southwestern region of Saudi Arabia included in this study have a combined population of approximately 962,210. With a predefined margin of error of 5% and a confidence level of 95%, the sample size was estimated using an online sample size calculator (http://www.raosoft.com/samplesize.html (accessed on 11 February 2021). The sample size was calculated to be 384.
2.7. Ethical Issues
By clicking the questionnaire link, the participants were auto-directed to the informed consent page. The study objectives were explained to participants on the consent form page, which was followed by the survey questionnaires. The participants’ rights and integrity were respected throughout this investigation. The study was authorised by the Scientific Research Ethics Committee at Najran University, with the number 442-41-34168-DS. The participants were informed that their participation in the study was entirely voluntary and that they may leave at any time. The Helsinki Declaration’s principles were followed in this investigation.
2.8. Statistical Analysis
Descriptive statistics (frequencies, means) were calculated for all variables. Correlations of COVID-19 vaccine acceptability were identified by using relative risk regression models. We used ordinal regression models to look at demographic and attitude variables that predicted respondents’ desire to obtain COVID-19 vaccines. All data were analysed using SPSS version 23.0.
3. Results
3.1. Demographic Characteristics of the Respondents (n = 391)
The majority (48.34%) of the study participants were young, between 18 and 29 years of age. More than two-thirds were male, and 96% were Saudi citizens. Two-thirds of the participants who resided in rural areas were graduates. One-third came from medical professional backgrounds. More than 50% of the study participants had undergone a COVID-19 test at least once; however, only 12.79% had been previously diagnosed with COVID-19. Newsletters and SMS circulated by the Ministry of Health, KSA were the major source of information regarding the COVID-19 vaccine for most (58.1%) of the participants. Table 1 presents the demographic characteristics of the respondents.
3.2. Health Related Characteristics Vaccine Acceptability of the Respondents:
Table 2 presents the health-related characteristics of the respondents. The majority (88.24%) of the participants did not suffer from any chronic disease, and less than half had received an influenza vaccine during the current influenza season or intended to receive the influenza vaccine in the following season. Around 30% said they would receive the seasonal influenza vaccine in the context of the COVID-19 pandemic. More than half were afraid of COVID-19 and felt at risk of being infected by the new coronavirus. The majority (57.29%) of the participants were willing to receive the new COVID-19 vaccine, whereas almost 64% believed it was necessary to take the COVID-19 vaccine to protect oneself and that the vaccine was safe, efficient and effective. When asked about volunteering for a clinical trial associated with a new COVID-19 vaccine in Saudi Arabia, the majority (71.87%) did not agree to participate. More than 90% of the participants had full faith and trust in the Ministry of Health, Saudi Arabia, to make good decisions about reducing the spread of COVID-19. Less than 25% of the participants were vaccine hesitant. The term vaccine hesitancy covers delaying vaccines, outright refusals to vaccinate, using certain vaccines but refusing others, or accepting vaccines but remaining uncertain about their use.
3.3. Correlation Analysis Result
Five relationships were observed through Spearman’s Rho correlation analysis. The results showed no significant correlation between chronic disease and vaccine acceptability because the significant p-value (p = 0.966) is higher than 0.05, which accepts the null hypothesis (Table 3). Similarly, there is no significant correlation between vaccine hesitancy and vaccine acceptability (p = 0.991). However, there is a statistically significant correlation between trust in the health system and vaccine acceptability because the significant p-value (p = 0.008) is less than 0.05, which rejects the null hypothesis. Similarly, there is a statistically significant correlation between a history of previous vaccination against seasonal influenza and vaccine acceptability (p = 0.000). Furthermore, a statistically significant correlation was found between perceived fear or risk and vaccine acceptability (p = 0.008) (Table 3).
3.4. t-Test Results of Group Differences on Vaccine Acceptability
Four t-tests were conducted to observe the group differences of gender, nationality, profession, and degree of carefulness. However, no significant association was noted among these groups regarding vaccine acceptance. The results revealed no significant difference between males and females regarding vaccine acceptability as the t-value (0.501) is less than 1.96 and the p-value (p = 0.617) is higher than 0.05. Similarly, there is no significant difference between Saudi and non-Saudi nationals regarding vaccine acceptability (t = 0.172 and p = 0.863). Furthermore, there is no significant difference between medical and non-medical professionals regarding vaccine acceptability (t = 0.061 and p = 0.951). Likewise, there is no significant difference between being careful and careless about health regarding vaccine acceptability (t = 0.934 and p = 0.351). The detailed results are provided as Supplementary Files (Tables S1–S4).
3.5. ANOVA Test Results
ANOVA tests were conducted to observe any significant differences of various groups related to area and monthly income. Table 4 presents the results regarding vaccine acceptability based on three different areas of the southwestern region of Saudi Arabia: Najran, Abha/Khamis Mushait, and Jizan. No significant differences were observed between the three different areas concerning vaccine acceptability. Similarly, monthly income groups—less than SAR 5000, SAR 5001 to SAR 10,000, and above 10,000—revealed no significant differences among the three different monthly income groups concerning vaccine acceptability.
3.6. Regression Analysis Results
Table 5 presents the multiple linear regression results of four predictors of vaccine acceptability: vaccine hesitancy, trust in the health system, history of previous vaccination against seasonal influenza, and perceived fear or risk. From the path coefficient results, no statistically significant effect of vaccine hesitancy on vaccine acceptability was revealed. The p-value (0.136) is higher than 0.05 and the t-value (t = 1.493) is less than 1.96, which confirms no significant effect. The results showed a statistically significant effect of perceived fear or risk on vaccine acceptability (t = 2.609 and p = 0.015). There was a statistically significant effect of trust in the health system on vaccine acceptability. The p-value (0.030) is less than 0.05 and the t-value (t = 2.255) is higher than 1.96, which confirms a significant effect. Similarly, there was a statistically significant effect of a history of previous vaccination against seasonal influenza on vaccine acceptability (p = 0.000 and t = 11.890). The R-square results for vaccine acceptability revealed R2 = 0.547, or 54%, which confirms the adequate coefficient of determination.
4. Discussion
After the clinical development and availability of the COVID-19 vaccine, it now faces the challenge of public acceptance. The World Health Organization (WHO) has identified ten threats for global health, which include vaccine hesitancy and the risk of a pandemic [26]. In the current COVID-19 scenario, humanity is facing both threats. Vaccines are known to be highly cost-effective, successful public health tools for the prevention of pandemics that benefit public health by saving many lives. However, an effective vaccine alone will not stamp out the novel coronavirus, until vaccination programmes are implemented efficiently. The implementation of the vaccine programmes will be a decisive factor in overcoming the COVID-19 pandemic.
Vaccine hesitancy has been previously linked with other vaccines and has resurged [27,28], leading to the recent U.S. outbreaks of measles, which, until recently, had been largely wiped out there [29].
Another reason for vaccine hesitancy is the anti-vaccination movements taking place in different parts of the world, including America, Europe, Australia and New Zealand, to name a few. These movements usually mobilize events against vaccine acceptance and spread false and misleading information, claims and conspiracies. The curbing of these movements should be a priority set high to immunize the larger share of the population successfully [30,31,32,33].
Contrary to anti-vaccination movements’ baseless and unscientific propaganda, COVID-19 vaccines have shown significant benefits and outcomes in people inoculated against COVID-19. In an observational study from Israel, two doses of the Pfizer-BioNTech mRNA BNT162b2 vaccine successfully prevented symptomatic and asymptomatic SARS-CoV-2 infections across all age categories. Noted also was a reduction in COVID-19-related hospitalizations, disease severity and death [34]. Another study from England that involved adults (n = 156,930) aged 70 years and above vaccinated with either one dose of the Pfizer-BioNTech or Oxford-AstraZeneca ChAdOx1-S vaccine showed a significant reduction in symptomatic COVID-19 with further protection against severe disease. In addition, participants who had received one dose of BNT162b2 or ChAdOx1-S had a further reduced risk of hospitalization; reduced risk of death was observed in participants who had received one dose of BNT162b2 [35]. Recent research has also established the enhanced effectiveness of heterologous vaccination using ChAdOx1-S as a first dose followed by a boost with either BNT162b2 or Moderna mRNA-1273 as the second dose against symptomatic COVID-19 infection, including the delta variant [36].
In this research, we investigate the challenge posed by vaccine hesitancy to an available vaccine programme. What if the majority of the population decline the vaccine? What are the factors influencing vaccine acceptance? This study, the first of its kind in the southwestern region of Saudi Arabia, utilized an online self-administered questionnaire to collect the responses of the respondents, which included three major cities in the region (Najran, Abha/Khamis Mushait, and Jizan).
Our findings revealed that the majority of participants (57.29%) were willing to receive the vaccine; however, 24.55% were identified as vaccine hesitant. These findings are in line with other studies carried out in central Saudi Arabia [21], the U.S. [37], and China [38], which, however, reported a relatively higher percentage of vaccine acceptance compared to our findings. The studies conducted in China and the U.S. reported 72.5% and 80% VA, respectively. Similarly, the study conducted in Saudi Arabia reported 64.7% VA in the general population [21]. These findings suggest that the general Saudi population are receptive to the COVID-19 vaccine.
This study indicated that keenness to accept the COVID-19 vaccine is relatively high among middle-aged groups (30–49 years); however, it was not statistically significant. These findings are consistent with another study conducted in Saudi Arabia [21]. In our study, Spearman’s rho correlation analysis revealed that perceived fear or risk of being infected with COVID-19 was significantly (p < 0.01) associated with vaccine acceptance. These findings are in line with previously reported data in Indonesia [39] and Saudi Arabia [21]. Similarly, trust in the healthcare system was significantly (p < 0.05) associated with vaccine acceptance, which is consistent with previous studies conducted in Saudi Arabia [21]. Furthermore, a history of previous vaccination against seasonal influenza was significantly (p < 0.01) associated with COVID-19 vaccine acceptance. These findings corroborate a previous study conducted on healthcare workers (HCWs) in France [40] and Hong Kong [41]. Our study revealed that the intent to receive a COVID-19 vaccine exceeded the influenza vaccine rates in the current influenza season and the following season. This may be explained in part due to variation in perceived risk of contracting SARS-CoV-2, or seasonal influenza, as the general perception (fear or risk) of contracting influenza is relatively low compared to SARS-CoV-2 [42]. No significant differences were observed between medical and non-medical professions concerning vaccine acceptance. This could become a cause of concern in healthcare settings as HCWs have more and longer contact with COVID-19 patients than non-HCWs. These findings contrast with the previous studies conducted in France and Indonesia. The French study reported a relatively high rate of COVID-19 vaccine acceptance in HCWs compared to their counterparts [40]. Similarly, the Indonesian study reported that being a healthcare worker was associated with a higher COVID-19 vaccine acceptance rate [39]. Furthermore, our study reported no significant group differences between Saudi and non-Saudi, male and female, and careful and careless about health. In addition, no significant differences were observed between different groups of monthly income and areas, namely Najran, Abha/Khamis Mushait, and Jizan, concerning vaccine acceptance.
We performed regression analysis to determine how one variable affects another variable in our study. The data showed that perceived risk of COVID-19, history of previous vaccination against seasonal influenza, and trust in the healthcare system were significant predictors for COVID-19 vaccine acceptance. These findings agree with previous studies carried out in Saudi Arabia and elsewhere. According to these studies, the use of preventative health services such as vaccination has been linked to a higher level of trust in the healthcare system [21,22,43,44]. Thus, our findings are in line with earlier research that found links between government trust and vaccine uptake [45].
In Saudi Arabia, state-of-the-art healthcare facilities are provided by the Ministry of Health. The Ministry is active in public awareness efforts through newsletters and SMS, aimed at increasing public confidence in the vaccine’s efficacy and safety. The Ministry of Health provides free vaccination to all its citizens and resident population. In addition, our data revealed that vaccine hesitancy was not significantly associated with COVID-19 vaccine acceptability.
As of 10 September 2021, Saudi Arabia has administered 38.7 million doses of the COVID-19 vaccine, accounting for 16.1 million (47.1%) fully vaccinated individuals. The vaccination rate in Saudi Arabia is one of the highest in the world and has been commended by the WHO [46].
Our findings provide policymakers with information that may be used to design policies and plan for further enhancing of the vaccine acceptance rate.
Our study has a few limitations worth mentioning. Firstly, being a cross-sectional study, it represents the community’s response at a particular point in time. Vaccine acceptance rates may vary as the public perception regarding the vaccine changes in the future. Secondly, the study was carried out in the southern region of Saudi Arabia involving a sample size of 391, which might not be generalisable to the whole of Saudi Arabia. Thirdly, the study tool was distributed through web-based platforms such as email and WhatsApp, leading to the exclusion of people with lower educational and socioeconomic backgrounds. Finally, possible selection bias cannot be ruled out because of the self-selection recruitment process involved in online surveys.
5. Conclusions
Our findings conclude that the majority of the study participants were willing to receive the available COVID-19 vaccines in Saudi Arabia. Participants’ trust in the healthcare system, perceived risk of contracting COVID-19, and history of previous vaccination against seasonal influenza were significant predictors for COVID-19 vaccine acceptance. Communities’ perception of the dangers of COVID-19 should be increased through educational interventions by the health authorities concerned. Knowing the acceptance rates for the COVID-19 vaccination can aid state agencies, medical practitioners, and other entities in reducing the impact of vaccine avoidance.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/vaccines10010041/s1, Table S1: Group differences of male and female on vaccine acceptability; Table S2: Group differences between Saudi and non-Saudi for Vaccine acceptability; Table S3: Vaccine acceptability differences between medical and non-medical professionals; Table S4: Vaccine acceptability differences between careless and careful about health
Funding
This study was funded by the Deanship of Scientific Research, Najran University vide grant no. NU/MID/18/032.
Institutional Review Board Statement
The study was approved by the Scientific Research Ethics Committee at Najran University, with the number 442-41-34168-DS.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Data are available from the corresponding author for researchers who meet the criteria to access confidential data.
Acknowledgments
The author is grateful to the Deanship of Scientific Research, Najran University, Najran, Saudi Arabia, for supporting this study with grant no. NU/MID/18/032.
Conflicts of Interest
The author reports no conflicts of interest in this work.
References
- Ratzan, S.C. Vaccine literacy: A new shot for advancing health. J. Health Commun. 2011, 16, 227–229. [Google Scholar] [CrossRef]
- Sallam, M. COVID-19 vaccine hesitancy worldwide: A concise systematic review of vaccine acceptance rates. Vaccines 2021, 9, 160. [Google Scholar] [CrossRef]
- Dubé, E.; Gagnon, D.; Nickels, E.; Jeram, S.; Schuster, M. Mapping vaccine hesitancy—Country-specific characteristics of a global phenomenon. Vaccine 2014, 32, 6649–6654. [Google Scholar] [CrossRef] [Green Version]
- MacDonald, N.E.; SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: Definition, scope and determinants. Vaccine 2015, 33, 4161–4164. [Google Scholar] [CrossRef]
- Kickbusch, I.S. Health literacy: Addressing the health and education divide. Health Promot. Int. 2001, 16, 289–297. [Google Scholar] [CrossRef] [PubMed]
- Sørensen, K.; Van den Broucke, S.; Fullam, J.; Doyle, G.; Pelikan, J.; Slonska, Z.; Brand, H.; (HLS-EU) Consortium Health Literacy Project European. Health literacy and public health: A systematic review and integration of definitions and models. BMC Public Health 2012, 12, 80. [Google Scholar] [CrossRef] [Green Version]
- Chakraborty, C.; Sharma, A.R.; Sharma, G.; Bhattacharya, M.; Lee, S.S. SARS-CoV-2 causing pneumonia-associated respiratory disorder (COVID-19): Diagnostic and proposed therapeutic options. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 4016–4026. [Google Scholar]
- Saha, R.P.; Sharma, A.R.; Singh, M.K.; Samanta, S.; Bhakta, S.; Mandal, S.; Bhattacharya, M.; Lee, S.-S.; Chakraborty, C. Repurposing drugs, ongoing vaccine, and new therapeutic development initiatives against COVID-19. Front. Pharmacol. 2020, 11, 1258. [Google Scholar] [CrossRef] [PubMed]
- Chakraborty, C.; Lee, S.-S.; Sharma, A.; Bhattacharya, M.; Sharma, G. The 2019 novel coronavirus disease (COVID-19) pandemic: A zoonotic prospective. Asian Pac. J. Trop. Med. 2020, 13, 242. [Google Scholar] [CrossRef]
- Chakraborty, C.; Sharma, A.R.; Sharma, G.; Bhattacharya, M.; Saha, R.P.; Lee, S.-S. Extensive partnership, collaboration, and teamwork is required to stop the COVID-19 outbreak. Arch. Med. Res. 2020, 51, 728–730. [Google Scholar] [CrossRef]
- Barry, M.; Al Amri, M.; Memish, Z.A. COVID-19 in the shadows of MERS-CoV in the kingdom of Saudi Arabia. J. Epidemiol. Glob. Health 2020, 10, 1–3. [Google Scholar] [CrossRef] [Green Version]
- Barry, M.; Ghonem, L.; Alsharidi, A.; Alanazi, A.; Alotaibi, N.; Al-Shahrani, F.; Majid, F.; BaHammam, A. Coronavirus disease-2019 pandemic in the Kingdom of Saudi Arabia: Mitigation measures and hospital preparedness. J. Nat. Sci. Med. 2020, 3, 155. [Google Scholar] [CrossRef]
- COVID-19 Vaccines: Development, Evaluation, Approval and Monitoring. Available online: https://www.ema.europa.eu/en/human-regulatory/overview/public-health-threats/coronavirus-disease-covid-19/treatments-vaccines/vaccines-covid-19/covid-19-vaccines-development-evaluation-approval-monitoring (accessed on 29 November 2021).
- CDC Developing COVID-19 Vaccines. Available online: https://www.cdc.gov/coronavirus/2019-ncov/vaccines/distributing/steps-ensure-safety.html (accessed on 29 November 2021).
- Setbon, M.; Raude, J. Factors in vaccination intention against the pandemic influenza A/H1N1. Eur. J. Public Health 2010, 20, 490–494. [Google Scholar] [CrossRef] [Green Version]
- Gidengil, C.A.; Parker, A.M.; Zikmund-Fisher, B.J. Trends in risk perceptions and vaccination intentions: A longitudinal study of the first year of the H1N1 pandemic. Am. J. Public Health 2012, 102, 672–679. [Google Scholar] [CrossRef]
- Larson, H.J.; Clarke, R.M.; Jarrett, C.; Eckersberger, E.; Levine, Z.; Schulz, W.S.; Paterson, P. Measuring trust in vaccination: A systematic review. Hum. Vaccin. Immunother. 2018, 14, 1599–1609. [Google Scholar] [CrossRef]
- Xiao, X.; Wong, R.M. Vaccine hesitancy and perceived behavioral control: A meta-analysis. Vaccine 2020, 38, 5131–5138. [Google Scholar] [CrossRef] [PubMed]
- Reiter, P.L.; McRee, A.-L.; Gottlieb, S.L.; Brewer, N.T. Correlates of receiving recommended adolescent vaccines among adolescent females in North Carolina. Hum. Vaccin. 2011, 7, 67–73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Covidvax.live. Live COVID-19 Vaccination Tracker-See Vaccinations in Real Time! Available online: https://covidvax.live/location/sau (accessed on 27 October 2021).
- Al-Mohaithef, M.; Padhi, B.K. Determinants of COVID-19 vaccine acceptance in Saudi Arabia: A web-based national survey. J. Multidiscip. Healthc. 2020, 13, 1657–1663. [Google Scholar] [CrossRef] [PubMed]
- Quinn, S.C.; Jamison, A.M.; An, J.; Hancock, G.R.; Freimuth, V.S. Measuring vaccine hesitancy, confidence, trust and flu vaccine uptake: Results of a national survey of White and African American adults. Vaccine 2019, 37, 1168–1173. [Google Scholar] [CrossRef]
- McRee, A.-L.; Brewer, N.T.; Reiter, P.L.; Gottlieb, S.L.; Smith, J.S. The Carolina HPV immunization attitudes and beliefs scale (CHIAS): Scale development and associations with intentions to vaccinate. Sex. Transm. Dis. 2010, 37, 234–239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Reiter, P.L.; McRee, A.-L.; Pepper, J.K.; Gilkey, M.B.; Galbraith, K.V.; Brewer, N.T. Longitudinal predictors of human papillomavirus vaccination among a national sample of adolescent males. Am. J. Public Health 2013, 103, 1419–1427. [Google Scholar] [CrossRef]
- Reiter, P.L.; McRee, A.-L.; Katz, M.L.; Paskett, E.D. Human Papillomavirus vaccination among young adult gay and bisexual men in the United States. Am. J. Public Health 2015, 105, 96–102. [Google Scholar] [CrossRef]
- Killian, M.; Detoc, M.; Berthelot, P.; Charles, R.; Gagneux-Brunon, A.; Lucht, F.; Pulcini, C.; Barbois, S.; Botelho-Nevers, E. Vaccine hesitancy among general practitioners: Evaluation and comparison of their immunisation practice for themselves, their patients and their children. Eur. J. Clin. Microbiol. Infect. Dis. 2016, 35, 1837–1843. [Google Scholar] [CrossRef] [PubMed]
- Dubé, E.; Laberge, C.; Guay, M.; Bramadat, P.; Roy, R.; Bettinger, J. Vaccine hesitancy: An overview: An overview. Hum. Vaccin. Immunother. 2013, 9, 1763–1773. [Google Scholar] [CrossRef] [PubMed]
- Olive, J.K.; Hotez, P.J.; Damania, A.; Nolan, M.S. The state of the antivaccine movement in the United States: A focused examination of nonmedical exemptions in states and counties. PLoS Med. 2018, 15, e1002578. [Google Scholar]
- Sarkar, S.; Zlojutro, A.; Khan, K.; Gardner, L. Measles resurgence in the USA: How international travel compounds vaccine resistance. Lancet Infect. Dis. 2019, 19, 684–686. [Google Scholar] [CrossRef]
- Burki, T. The online anti-vaccine movement in the age of COVID-19. Lancet Digit. Health 2020, 2, e504–e505. [Google Scholar] [CrossRef]
- Stoakes, E. American Vaccine Misinformation and Extremism Are Infiltrating New Zealand. Available online: https://www.cnbc.com/2021/11/29/american-vaccine-misinformation-and-extremism-are-entering-new-zealand.html (accessed on 29 November 2021).
- Schraer, R. Covid: Conspiracy and untruths drive Europe’s Covid protests. BBC News, 27 November 2021. Available online: https://www.bbc.com/news/59390968 (accessed on 5 December 2021).
- Thousands Gather in Melbourne, Sydney, Gold Coast and across Australia in Orchestrated Protests against COVID-19 Vaccines, Restrictions. Available online: https://7news.com.au/lifestyle/health-wellbeing/thousands-gather-in-melbourne-sydney-gold-coast-and-across-australia-in-orchestrated-protests-against-covid-19-vaccines-restrictions-c-4724228 (accessed on 29 November 2021).
- Haas, E.J.; Angulo, F.J.; McLaughlin, J.M.; Anis, E.; Singer, S.R.; Khan, F.; Brooks, N.; Smaja, M.; Mircus, G.; Pan, K.; et al. Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: An observational study using national surveillance data. Lancet 2021, 397, 1819–1829. [Google Scholar] [CrossRef]
- Lopez Bernal, J.; Andrews, N.; Gower, C.; Robertson, C.; Stowe, J.; Tessier, E.; Simmons, R.; Cottrell, S.; Roberts, R.; O’Doherty, M.; et al. Effectiveness of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on covid-19 related symptoms, hospital admissions, and mortality in older adults in England: Test negative case-control study. BMJ 2021, 373, n1088. [Google Scholar] [CrossRef]
- Nordström, P.; Ballin, M.; Nordström, A. Effectiveness of heterologous ChAdOx1 nCoV-19 and mRNA prime-boost vaccination against symptomatic COVID-19 infection in Sweden: A nationwide cohort study. Lancet Reg. Health-Eur. 2021, 11, 100249. [Google Scholar] [CrossRef]
- Thunstrom, L.; Ashworth, M.; Finnoff, D.; Newbold, S. Hesitancy towards a COVID-19 vaccine and prospects for herd immunity. SSRN Electron. J. 2020. [Google Scholar] [CrossRef]
- Fu, C.; Wei, Z.; Pei, S.; Li, S.; Sun, X.; Liu, P. Acceptance and preference for COVID-19 vaccination in health-care workers (HCWs). MedRxiv 2020. Available online: https://www.medrxiv.org/content/10.1101/2020.04.09.20060103v1 (accessed on 5 December 2021).
- Harapan, H.; Wagner, A.L.; Yufika, A.; Winardi, W.; Anwar, S.; Gan, A.K.; Setiawan, A.M.; Rajamoorthy, Y.; Sofyan, H.; Mudatsir, M. Acceptance of a COVID-19 vaccine in southeast Asia: A cross-sectional study in Indonesia. Front. Public Health 2020, 8, 381. [Google Scholar] [CrossRef] [PubMed]
- Gagneux-Brunon, A.; Detoc, M.; Bruel, S.; Tardy, B.; Rozaire, O.; Frappe, P.; Botelho-Nevers, E. Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: A cross-sectional survey. J. Hosp. Infect. 2021, 108, 168–173. [Google Scholar] [CrossRef]
- Wang, K.; Wong, E.L.Y.; Ho, K.F.; Cheung, A.W.L.; Chan, E.Y.Y.; Yeoh, E.K.; Wong, S.Y.S. Intention of nurses to accept coronavirus disease 2019 vaccination and change of intention to accept seasonal influenza vaccination during the coronavirus disease 2019 pandemic: A cross-sectional survey. Vaccine 2020, 38, 7049–7056. [Google Scholar] [CrossRef] [PubMed]
- Lorenc, T.; Marshall, D.; Wright, K.; Sutcliffe, K.; Sowden, A. Seasonal influenza vaccination of healthcare workers: Systematic review of qualitative evidence. BMC Health Serv. Res. 2017, 17, 732. [Google Scholar] [CrossRef] [Green Version]
- Musa, D.; Schulz, R.; Harris, R.; Silverman, M.; Thomas, S.B. Trust in the health care system and the use of preventive health services by older black and white adults. Am. J. Public Health 2009, 99, 1293–1299. [Google Scholar] [CrossRef] [PubMed]
- Harris, K.M.; Maurer, J.; Kellermann, A.L. Influenza vaccine—Safe, effective, and mistrusted. N. Engl. J. Med. 2010, 363, 2183–2185. [Google Scholar] [CrossRef]
- Lee, C.; Whetten, K.; Omer, S.; Pan, W.; Salmon, D. Hurdles to herd immunity: Distrust of government and vaccine refusal in the US, 2002–2003. Vaccine 2016, 34, 3972–3978. [Google Scholar] [CrossRef]
- Al-awsat, A. Middle-East Arab News Opinion. Available online: https://english.aawsat.com/home/article/3046376/who-praises-saudi-arabia%E2%80%99s-%E2%80%98impressive%E2%80%99-response-covid-19-pandemic (accessed on 25 October 2021).
Table 1.
Demographic characteristics of participants and vaccine acceptability (VA) (n = 391).
| Demographic Characteristics | Frequency n (%) | VA n (%) |
|---|---|---|
| Age | ||
| 18 to 29 years | 189 (48.34) | 96 (50.79) |
| 30–49 years | 183 (46.80) | 117 (63.93) |
| 50–65 years | 16 (4.09) | 10 (62.5) |
| Above 65 years | 3 (0.77) | 1 (33.33) |
| Gender | ||
| Male | 270 (69.05) | 161 (59.62) |
| Female | 121 (30.95) | 63 (52.06) |
| Nationality | ||
| Saudi | 375 (95.91) | 215 (57.33) |
| Non-Saudi | 16 (4.09) | 9 (56.25) |
| City of residence | ||
| Najran | 148 (37.85) | 82 (55.4) |
| Abha/Khamis Mushait | 175 (44.76) | 99 (56.57) |
| Jizan | 68 (17.39) | 43 (63.23) |
| Area of residence | ||
| Rural | 127 (32.48) | 69 (54.33) |
| Urban | 264 (67.52) | 155 (58.71) |
| Education level | ||
| High school | 47 (12.02) | 25 (53.19) |
| Diploma | 40 (10.23) | 29 (72.5) |
| Graduate | 250 (63.94) | 133 (53.2) |
| Postgraduate/Ph.D. | 54 (13.81) | 37 (68.51) |
| Monthly household income (SAR) | ||
| Less than 5000 | 84 (21.48) | 41 (48.8) |
| 5000 to 10,000 | 127 (32.48) | 69 (54.33) |
| More than 10,000 | 180 (46.04) | 114 (63.33) |
| Profession | ||
| Medical | 141 (36.06) | 85 (60) |
| Non-medical | 250 (63.94) | 139 (55.6) |
| Job sector | ||
| Government | 211 (53.96) | 129 (61.13) |
| Private | 37 (9.46) | 25 (67.56) |
| Self-employed | 12 (3.07) | 5 (41.66) |
| Unemployed | 131 (33.5) | 62 (47.32) |
| Marital status | ||
| Married | 222 (56.78) | 136 (61.26) |
| Unmarried/single | 165 (42.2) | 87 (52.72) |
| Separated/divorced/widowed | 4 (1.02) | 1 (25) |
| Smoking status | ||
| Smoker | 48 (12.28) | 36 (75) |
| Non-smoker | 320 (81.84) | 175 (54.68) |
| Ex-smoker | 23 (5.88) | 13 (56.32) |
| Health status | ||
| Excellent | 285 (72.89) | 168 (58.94) |
| Good | 90 (23.02) | 48 (53.33) |
| Fair | 16 (4.09) | 8 (50) |
| Degree of carefulness about health | ||
| Careful | 344 (87.98) | 198 (57.55) |
| Careless | 47 (12.02) | 26 (55.31) |
| Ever tested for COVID-19 | ||
| No | 185 (47.31) | 93 (50.27) |
| Yes | 206 (52.69) | 131 (63.59) |
| Personal history of COVID-19 diagnosis | ||
| No | 341 (87.21) | 191 (56.01) |
| Yes | 50 (12.79) | 33 (66) |
| Family member ever diagnosed with COVID-19 | ||
| No | 226 (57.8) | 125 (55.3) |
| Yes | 165 (42.2) | 99 (60) |
| Source of information regarding COVID-19 vaccine | ||
| Ministry of Health newsletters/SMS | 228 (58.31) | 138 (60.52) |
| Social media | 119 (30.43) | 59 (49.57) |
| Newspaper and electronic media | 15 (3.84) | 10 (66.66) |
| Scientific publications/articles | 17 (4.35) | 12 (70.58) |
| Others | 12 (3.07) | 3 (25) |
Table 2.
Health and COVID-19 vaccine-related characteristics of participants (n = 391).
| Health-Related Characteristics | Frequency n (%) | VA n (%) |
|---|---|---|
| Do you suffer from a chronic disease? | ||
| No | 345 (88.24) | 197 (57.1) |
| Yes | 46 (11.76) | 27 (58.69) |
| Did you get the influenza vaccine during this influenza season? | ||
| No | 338 (86.45) | 183 (54.14) |
| Yes | 53 (13.55) | 41 (77.35) |
| Do you intend to get the influenza vaccine for the next season? | ||
| No | 217 (55.5) | 70 (32.25) |
| Yes | 174 (44.5) | 154 (88.5) |
| Would you get the seasonal influenza vaccine in the context of the COVID-19 pandemic? | ||
| No | 277 (70.84) | 127 (45.84) |
| Yes | 114 (29.16) | 97 (85.08) |
| Do you have fears about COVID-19? | ||
| No | 183 (46.8) | 95 (51.91) |
| Yes | 208 (53.2) | 129 (62.01) |
| Do you feel at risk of being infected by the new coronavirus? | ||
| No | 195 (49.87) | 89 (45.64) |
| Yes | 196 (50.13) | 135 (68.87) |
| If a new vaccine for the COVID-19 virus were now available in the market, would you get vaccinated? | ||
| No | 167 (42.71) | 167 (100) |
| Yes | 224 (57.29) | 224 (100) |
| Do you believe the new COVID-19 vaccine is safe, efficient and effective? | ||
| No | 139 (35.55) | 24 (17.26) |
| Yes | 252 (64.45) | 200 (79.36) |
| Do you believe it is necessary to take the COVID-19 vaccine to protect yourself? | ||
| No | 137 (35.04) | 10 (7.29) |
| Yes | 254 (64.96) | 214 (84.25) |
| Do you think that you will get COVID-19 in the future? | ||
| No | 258 (65.98) | 128 (49.61) |
| Yes | 133 (34.02) | 96 (72.18) |
| We need to prioritise going back to our normal routines as soon as possible instead of worrying about protective behaviours. | ||
| No | 150 (38.6) | 75 (50) |
| Yes | 241 (61.64) | 149 (61.82) |
| Are you willing be to volunteer for a clinical trial for a COVID-19 vaccine in Saudi Arabia? | ||
| No | 281 (71.87) | 126 (44.83) |
| Yes | 110 (28.13) | 98 (89.09) |
| I think the actions of the Ministry of Health have helped reduce the spread of COVID-19. | ||
| No | 24 (6.14) | 8 (33.33) |
| Yes | 367 (93.86) | 216 (58.85) |
| I trust the Ministry of Health to make good decisions about reducing the spread of COVID-19. | ||
| No | 17 (4.35) | 4 (23.52) |
| Yes | 374 (95.65) | 220 (58.82) |
| Have you ever refused a vaccine for yourself or a child because you considered it useless or dangerous? | ||
| No | 336 (85.93) | 197 (58.63) |
| Yes | 55 (14.07) | 27 (49.09) |
| Have you ever postponed a vaccine recommended by a physician? | ||
| No | 331 (84.65) | 191 (57.7) |
| Yes | 60 (15.35) | 33 (55) |
| Have you ever had a vaccine for a child or yourself despite doubts about its efficacy? | ||
| No | 295 (75.45) | 155 (52.54) |
| Yes | 96 (24.55) | 69 (71.87) |
Table 3.
Correlation results of vaccine acceptability and independent variables (n = 391).
| Variable | Variable | |||||
|---|---|---|---|---|---|---|
| Chronic Disease | Vaccine Hesitancy | Trust in the Health System | Perceived Fear or Risk | History of Previous Vaccination against Seasonal Influenza | ||
| Vaccine acceptability | Correlation coefficient (r) | 0.002 | 0.001 | 0.126 * | 0.133 ** | 0.557 ** |
| p-value | 0.966 | 0.991 | 0.013 | 0.008 | 0.000 | |
* Significance correlation at the 0.05 level (2-tailed), ** Significance correlation at the 0.01 level (2-tailed).
Table 4.
Differences of vaccine acceptability based on location and monthly income.
| (I) City of Residence | Mean Difference (I–J) | Std. Error | Sig. | 95% Confidence Interval | ||
|---|---|---|---|---|---|---|
| Lower Bound | Upper Bound | |||||
| Najran | Abha/Khamis Mushait | 0.046 | 0.048 | 0.608 | −0.067 | 0.158 |
| Jizan | −0.082 | 0.063 | 0.389 | −0.230 | 0.065 | |
| Abha/Khamis Mushait | Najran | −0.046 | 0.048 | 0.608 | −0.158 | 0.067 |
| Jizan | −0.128 | 0.061 | 0.094 | −0.272 | 0.016 | |
| Jizan | Najran | 0.082 | 0.063 | 0.389 | −0.065 | 0.230 |
| Abha/Khamis Mushait | 0.128 | 0.061 | 0.094 | −0.016 | 0.272 | |
| (II) Monthly household income | ||||||
| Less than 5000 | 5000 to 10,000 | −0.048 | 0.060 | 0.705 | −0.190 | 0.094 |
| More than 10,000 | −0.111 | 0.057 | 0.123 | −0.244 | 0.022 | |
| 5000 to 10,000 | Less than 5000 | 0.048 | 0.060 | 0.705 | −0.094 | 0.190 |
| More than 10,000 | −0.063 | 0.050 | 0.414 | −0.180 | 0.054 | |
| More than 10,000 | Less than 5000 | 0.111 | 0.057 | 0.123 | −0.022 | 0.244 |
| 5000 to 10,000 | 0.063 | 0.050 | 0.414 | −0.054 | 0.180 | |
Table 5.
Path coefficients results through regression analysis.
| Model | Unstandardized Coefficients | Std. Coefficients | t | Sig. | 95.0% Confidence Interval for B | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | Lower Bound | Upper Bound | ||||||||
| 1 | (Constant) | 0.330 | 0.221 | 1.493 | 0.136 | −0.105 | 0.765 | |||||
| Vaccine Hesitancy | −0.101 | 0.064 | −0.068 | −1.582 | 0.114 | −0.227 | 0.025 | |||||
| Trust in Health System | 0.231 | 0.102 | 0.097 | 2.255 | 0.025 | 0.030 | 0.432 | |||||
| History of previous vaccination against seasonal influenza | 0.666 | 0.056 | 0.515 | 11.890 | 0.000 | 0.556 | 0.776 | |||||
| Perceived fear or risk | 0.068 | 0.042 | 0.069 | 2.609 | 0.015 | −0.015 | 0.150 | |||||
| a. Dependent Variable: Vaccine acceptability | ||||||||||||
| Model Summary (R-square value) | ||||||||||||
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | ||||||||
| 1 | 0.547 a | 0.299 | 0.292 | 0.362 | ||||||||
a. Predictors: (Constant), perceived fear or risk, vaccine hesitancy, trust in health system, history of previous vaccination against seasonal influenza.
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Alqahtani, Y.S. Acceptability of the COVID-19 Vaccine among Adults in Saudi Arabia: A Cross-Sectional Study of the General Population in the Southern Region of Saudi Arabia. Vaccines 2022, 10, 41. https://doi.org/10.3390/vaccines10010041
AMA Style
Alqahtani YS. Acceptability of the COVID-19 Vaccine among Adults in Saudi Arabia: A Cross-Sectional Study of the General Population in the Southern Region of Saudi Arabia. Vaccines. 2022; 10(1):41. https://doi.org/10.3390/vaccines10010041
Chicago/Turabian StyleAlqahtani, Yahya S. 2022. "Acceptability of the COVID-19 Vaccine among Adults in Saudi Arabia: A Cross-Sectional Study of the General Population in the Southern Region of Saudi Arabia" Vaccines 10, no. 1: 41. https://doi.org/10.3390/vaccines10010041
APA StyleAlqahtani, Y. S. (2022). Acceptability of the COVID-19 Vaccine among Adults in Saudi Arabia: A Cross-Sectional Study of the General Population in the Southern Region of Saudi Arabia. Vaccines, 10(1), 41. https://doi.org/10.3390/vaccines10010041
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