Literature DB >> 33605010

COVID-19 vaccine hesitancy and attitudes in Qatar: A national cross-sectional survey of a migrant-majority population.

Majid Alabdulla1,2, Shuja Mohd Reagu1, Abdullatif Al-Khal1, Marwa Elzain1, Roland M Jones3.   

Abstract

BACKGROUND: Vaccine hesitancy is a global threat undermining control of preventable infections. Emerging evidence suggests that hesitancy to COVID-19 vaccination varies globally. Qatar has a unique population with around 90% of the population being economic migrants, and the degree and determinants of hesitancy are not known.
METHODS: This study was carried out to evaluate the degree of vaccine hesitancy and its socio-demographic and attitudinal determinants across a representative sample. A national cross-sectional study using validated hesitancy measurement tool was carried out from October 15, 2020, to November 15, 2020. A total of 7821 adults completed the survey. Relevant socio-demographic data along with attitudes and beliefs around COVID-19 vaccination were collected from the respondents.
RESULTS: 20.2% of the respondents stated they would not take the vaccine and 19.8% reported being unsure about taking the prospective COVID-19 vaccine. Citizens and females were more likely to be vaccine hesitators than immigrants and males, respectively. Concerns around the safety of COVID-19 vaccine and its longer-term side effects were the main concerns cited. Personal research around COVID-19 and vaccine were by far the most preferred methods that would increase confidence in accepting the vaccine across all demographic groups.
CONCLUSIONS: This study reports an overall vaccine hesitancy of 20% toward the COVID-19 vaccine and the influence of social media on attitudes toward vaccination which is in keeping with emerging evidence. This finding comes at a time that is close to the start of mass immunization and reports from a migrant-majority population highlighting important socio-demographic determinants around vaccine hesitancy.
© 2021 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; COVID-19 vaccine; Qatar; migrant mental health; social media; vaccine hesitancy

Mesh:

Substances:

Year:  2021        PMID: 33605010      PMCID: PMC8014858          DOI: 10.1111/irv.12847

Source DB:  PubMed          Journal:  Influenza Other Respir Viruses        ISSN: 1750-2640            Impact factor:   5.606


INTRODUCTION

COVID‐19 was declared a global pandemic by the WHO in March 2020. Toward the end of November 2020, the pandemic had spread to 215 countries and territories, infecting over 61 102 236 people, causing 1 433 132 deaths and had an unprecedented negative impact on economic activity, education, travel, food production, and social activities. , , , Despite a global effort to evaluate treatments for COVID‐19, no anti‐viral agents have yet been identified as effective treatment. , Development of an effective vaccine to provide immunization was therefore identified early on as the main exit strategy from this global pandemic. As a result, multiple vaccine development programs across the world have been working to develop an effective vaccine for COVID‐19, and as of the end of November 2020, at least 55 vaccines were undergoing clinical trials on humans with at least 3 seeking approval for public use. Vaccination requires inoculating a certain proportion of the at‐risk population in order to achieve immunity of the whole population. Despite being acknowledged as one of the most successful public health measures, many individuals choose not to be vaccinated citing concerns around safety and questioning the necessity of immunization, and there is evidence that vaccine refusal and hesitancy by individuals across the world have been increasing. , This hesitancy has been recognized as one of the top ten global health threats by the WHO. The WHO set up the Strategic Advisory Group of Experts (SAGE) to address the global challenge of vaccine hesitancy and refusal. Studies by SAGE and other research groups have identified a number of reasons that may contribute to vaccine hesitancy; and although these reasons may vary across different countries, vaccine hesitancy is recognized as a growing concern. , Reports are emerging from several countries across the world, exploring attitudes to the prospective COVID‐19 vaccine. , , , , , The results from these studies show high levels of vaccine hesitancy to COVID‐19 vaccination, ranging from 20% to 40% of the surveyed populations. Most of the published studies are based in developed economies with majority native/local populations. Qatar is a hub of international travel and massive economic development and incidentally has had one of the highest COVID‐19 infection rates in the world. , Therefore, like other countries, vaccination will play a major role in managing the effects of this pandemic in this nation. Qatar has a unique population, in that the over 90% of the residents are economic immigrants from other countries. The concerns and priorities of this migrant‐majority population, who do not live with their wider families or elderly relatives and are keen to return back to economic activity, are likely to differ. We anticipated that the motivations for accepting vaccines will therefore be different in Qatar compared to the native majority populations studied to date. Additionally, there are no studies on COVID‐19 vaccine hesitancy from Qatar and the wider MENA region, with similar demographic characteristics, to our knowledge. Therefore, it is important to explore attitudes toward vaccination and the degree and nature of potential vaccine refusal. We carried out a national cross‐sectional survey of adults in the State of Qatar to measure attitudes toward COVID‐19 vaccination using a validated vaccine hesitancy tool and to study socio‐demographic and personality characteristics associated with vaccine hesitancy. In this article, we present a subset of the findings of the wider study focusing on the degree of COVID‐19 vaccine hesitancy and its socio‐demographic correlates.

METHODOLOGY

Study design

We conducted a national cross‐sectional survey in Qatar between October 15 and November 15, 2020 using an online survey. The link to the survey was advertised through online local newspapers, and across the social media platforms of the Hamad Medical Corporation, which is the state funded major healthcare provider for the country. The advertisements were accompanied by short videos in English and Arabic explaining the rationale and nature for the survey. The survey was available in both English and Arabic languages.

Participants

All 2.3 million adult residents of Qatar were eligible for the study and were invited to participate in the survey.

Study materials

A validated vaccine hesitancy measurement tool—The Vaccine Attitudes Examination Scale (VAX) —was used as part of a composite questionnaire to assess the vaccine attitudes, awareness, and hesitancy among the study participants. This tool was translated into Arabic, and validation of the translated version was carried out using the guideline published by Sousa et al. The survey also collected relevant demographic and contextual information of the participants. Details of study materials are given in the Appendix.

Outcome measures

The selection of study tools (VAX) and the design of the composite questionnaire were guided by the SAGE group recommendations in assessing vaccine hesitancy. These included: Contextual factors like ethnic origin, gender, socioeconomic status, educational level, impact of media, individual's perception of the pharmaceutical industry among others. Individual and group influences like previous vaccination experience, beliefs and attitudes to vaccination in general and knowledge and awareness of the COVID‐19 pandemic and vaccines, trust in health systems, and perception of risk and benefits of vaccines. Vaccine specific issues like risks of new vaccine, risk to children and older adults, and role of healthcare professionals.

Ethical approval

The study was granted ethical approval by the Medical Research Council of the Hamad Medical Corporation. (MRC approval—01‐20‐930).

Analysis

We analyzed the data using descriptive statistics and multivariable logistic regression using Stata 12.

RESULTS

We received 7859 responses to the survey; of these, 38 were under the age of 18 and were excluded from the analysis, leaving 7821 adult respondents. 66% of the respondents were in the working age group being between 26 and 45 years in age. 59.4% of the respondents were male, and 82.5% were married. 19.8% were healthcare workers; the remainder were from the general public. 11.7% were Qatari Nationals, and the remainder were Arab non‐Qatari (40.7%), Asian (38.1%), African (11.1%), European (7.1%), and American (North, Central and South) (3.1%). Over 76% were university educated. These figures are comparable to the general population composition in Qatar. The median household size was 4 (IQR 2‐5). Over 77% were salaried, 11% were unemployed, 5.6% were self‐employed, and the remaining 6.2% were retired. 22.2% reported having a chronic physical illness, and 2.4% reported having a mental illness. 87.5% of respondents had completed childhood vaccinations, and 46.6% had received the influenza vaccine at least once in the last three years. 3.6% of respondents reported that they had had COVID‐19, and another 9.8% reported that a family member had had COVID‐19. (see Table 1).
TABLE 1

Demographic data and characteristics of participants (n = 7821)

Frequency (%)
Respondent type
Healthcare workers1546 (19.77)
General public6275 (80.23)
Age group
18 to 25261 (3.34)
26 to 352494 (31.89)
36 to 452666 (34.09)
46 to 551170 (14.96)
56 to 65905 (11.57)
Over 65325 (4.16)
Nationality
Qatari914 (11.69)
Non‐Qatari6907 (88.31)
Educational level
High school813 (10.40)
University6009 (76.83)
Trade/vocational/other999 (12.77)
Occupation
Salaried6043 (77.27)
Self‐employed436 (5.57)
Unemployed859 (10.98)
Retired483 (6.18)
Marital status
Single1362 (17.41)
Married6459 (82.59)
Gender
Male4648 (59.43)
Female3173 (40.57)
Childhood vaccination status
Completed6842 (87.48)
Not completed446 (5.96)
No response513 (6.56)
Received the seasonal flu vaccine in the last 3 y
Yes3646 (46.62)
No3662 (46.82)
No response513 (6.56)
Diagnosed with a chronic medical illness
Yes1740 (22.25)
No5568 (71.19)
No response513 (6.56)
Diagnosed with a mental illness
Yes191 (2.44)
No7070 (90.40)
No response560 (7.16)
Taking a regular medication
Yes2368 (30.28)
No4625 (59.14)
No response828 (10.59)
You or family member had COVID‐19 infection
Yes937 (11.98)
No6056 (77.43)
No response828 (10.59)
Demographic data and characteristics of participants (n = 7821)

Intention to accept vaccine

In response to the question “Will you take the COVID‐19 vaccine when it becomes available?” 44.7% and 15.8% responded that they would “definitely” or “probably” accept the vaccine, respectively. 19.8% were unsure, 8.7% responded that they would “probably not” accept the vaccine, and 11.5% reported they would “definitely not” take the vaccine. Very similar proportions were observed in response to a question on whether they would recommend the vaccine to elderly family members or relatives with chronic conditions, or whether they would get their children vaccinated for COVID‐19 (see Table 2).
TABLE 2

Intention to accept COVID‐19 vaccine

Frequency(%)
Will you have the vaccine when it becomes available
Definitely3123(44.66)
Probably1106(15.82)
Not sure1384(19.79)
Probably not606(8.67)
Definitely not774(11.07)
Will you recommend vaccine to elderly family members?
Definitely3208(46.76)
Probably1175(17.13)
Not sure1418(20.67)
Probably not473(6.89)
Definitely not587(8.56)
Will you get your children vaccinated for COVID‐19
Definitely2874(41.89)
Probably1090(15.89)
Not sure1419(20.68)
Probably not628(9.15)
Definitely not850(12.39)
Intention to accept COVID‐19 vaccine For those wishing to travel, 25.6% responded that they would preferentially accept the State required (at that time) 2‐week quarantine on return, rather than accept the vaccine.

Main worries and attitudes around COVID‐19 infection and its vaccine

The biggest worries reported were of family members getting infected (53%) or personally getting infected (37.6%) (see Table 3).
TABLE 3

Worries around COVID‐19 infection and its vaccine

Frequency(%)
Worries about getting infected2942(37.62)
Worries about a family member getting infected4127(52.77)
Financial worries1523(19.47)
Job‐related worries1821(23.28)
Worries of unavailability of a vaccine2621(33.51)
Worries around COVID‐19 infection and its vaccine Beliefs toward COVID‐19 infection, vaccination and immunity were further explored through a 5‐point Likert scale (see Table 4). 53.8% of the respondents expressed concerns about vaccine safety because of COVID‐19 being a new disease. A similar proportion of 47.9% expressed concerns about longer‐term safety of vaccines in general. 92.1% of the respondents expressed the belief that natural exposure to infections gave the safest protection.
TABLE 4

Beliefs toward COVID‐19 vaccine and immunity

Frequency(%)
COVID‐19 is not a real disease
Strongly disagree3499(44.74)
Disagree592(7.57)
Neutral846(10.82)
Agree433(5.54)
Strongly agree816(10.43)
COVID is a new disease, and vaccines have not been fully tested
Strongly disagree833(10.65)
Disagree874(11.18)
Neutral1617(20.68)
Agree928(11.87)
Strongly agree1934(24.73)
I feel safe after being vaccinated
Strongly disagree1140(14.58)
Disagree734(9.38)
Neutral1601(20.47)
Agree1223(15.64)
Strongly agree1488(19.03)
I can rely on vaccines to stop serious diseases
Strongly disagree700(8.95)
Disagree648(8.92)
Neutral1404(17.95)
Agree1401(17.91)
Strongly agree2033(25.99)
I feel protected after getting vaccinated
Strongly disagree788(10.08)
Disagree713(9.12)
Neutral1512(19.33)
Agree1483(18.96)
Strongly agree1690(21.61)
Although most vaccines are safe, there may be problems
Strongly disagree279(3.57)
Disagree454(5.80)
Neutral1263(16.15)
Agree1531(19.58)
Strongly agree2659(34.00)
Vaccines cause serious problems in children
Strongly disagree608(7.77)
Disagree768(9.82)
Neutral1846(23.60)
Agree1237(15.82)
Strongly agree1727(22.08)
I worry about serious unknown effects of the vaccine in the future
Strongly disagree458(5.86)
Disagree587(7.51)
Neutral1353(17.30)
Agree1241(15.30)
Strongly agree2547(32.57)
Vaccines make a lot of money for pharmaceutical companies
Strongly disagree1081(13.82)
Disagree944(12.07)
Neutral1549(19.81)
Agree918(11.74)
Strongly agree1694(21.66)
Authorities promote vaccines for financial gain not for people's health
Strongly disagree2597(33.21)
Disagree1101(14.08)
Neutral1262(16.14)
Agree481(6.15)
Strongly agree745(9.53)
Vaccination programs are a big con
Strongly disagree2396(30.64)
Disagree1064(13.60)
Neutral1516(19.38)
Agree470(6.01)
Strongly agree740(9.46)
Natural immunity lasts longer than vaccination
Strongly disagree820(10.48)
Disagree742(9.49)
Neutral1674(21.40)
Agree1038(13.27)
Strongly agree1912(24.45)
Natural exposure to germs and viruses gives the safest protection
Strongly disagree1312(12.61)
Disagree986(23.90)
Neutral1869(12.79)
Agree1000(13.03)
Strongly agree1019(79.09)
Being exposed to diseases naturally is safer for the immune system than vaccination
Strongly disagree1355(17.33)
Disagree977(12.49)
Neutral1821(23.28)
Agree913(11.67)
Strongly agree1120(14.32)
Beliefs toward COVID‐19 vaccine and immunity We categorized those who reported were “definitely” or “probably” not going accept a COVID‐19 vaccine as vaccine hesitators, and investigated variables associated with vaccine hesitancy. We first investigated univariate associations, and then carried out multivariable logistic regression and included all variables that were significant at P < .2 level of significance. We found that those who were significantly more likely to be vaccine hesitators were older, native Qataris, self‐employed or retired, single, and female (Table 5). Non‐locals of working age were significantly more likely to accept the vaccine in contrast with the nationals in the same age group. In fact, the overall vaccine hesitancy among the local Qataris of working age was 42.57% compared to 16.71% for the immigrant population (Table 6). Those who had a flu vaccine in the last 3 years, took regular medication were significantly less likely to be vaccine hesitators (see Table 5).
TABLE 5

Multivariate logistic regression model of variables associated with vaccination hesitancy

VariableOdds ratio95% Confidence Interval Z value P value
Health Worker11.03‐1.722.24.025
General Public1.33
Age1.271.15‐1.404.98<.001
Foreign Nationals1
Qatari Nationals1.681.30‐2.164.03<.001
High school educated1
University Educated0.810.55‐1.19−1.07.283
Trade/vocational/other1.110.83‐1.510.72.473
Salaried1
Self‐employed1.601.12‐2.292.56.011
Unemployed0.990.74‐1.31−0.08.933
Retired1.080.73‐1.600.40.687
Married0.740.59‐ 0.92−2.64.008
Female gender1.821.51‐2.206.28<.001
Completed childhood vaccinations1.210.84‐1.741.03.304
Chronic physical illness0.820.63‐1.07−1.44.149
Mental illness1.210.72‐0.2.050.72.472
Had the flu vaccine in the last 3 y0.540.44‐0.64−6.38<.001
Taking regular medications0.730.56‐0.93−2.51.012
Belief that COVID‐19 is not a real disease1.081.02‐1.152.60.009
Worries that COVID‐19 is a new disease and vaccines have not been fully tested1.711.58‐1.8512.93<.001
Feel safe after being vaccinated0.470.43‐0.51−16.71<.001
Believe can rely on vaccines to stop serious infectious diseases0.970.89‐1.06−0.60.546
Feel protected after getting vaccinated0.800.72‐0.88−4.40<.001
Belief that most vaccines are safe but there may be as yet undiscovered problems1.060.96‐1.121.20.232
Worries about unforeseen problems in children1.100.99‐1.221.75.079
Worries about unknown future effects1.181.05‐1.312.78.005
Belief that vaccines make a lot of money for pharma but not much for regular people0.980.90‐1.07−0.44.659
Belief that authorities promote vaccines for financial gain1.111.02‐1.202.56.010
Belief that vaccination programs are a big con1.030.96‐1.120.88.380
Belief that natural immunity lasts longer than vaccinations0.920.85‐1.01−1.76.078
Belief that natural exposure to germs and viruses give the safest protection1.201.10‐1.324.00<.001
Belief that being exposed to diseases naturally is safer for the immune system than vaccination1.050.96‐1.161.08.280
TABLE 6

Intention to accept vaccine among working age migrants vs working age natives (18‐65 years old)

Will you refuse the COVID‐19 vaccine?YesNo
Natives335 (42.57%)452 (57.43%)
Immigrants990 (16.71%)4935 (83.29%)
Multivariate logistic regression model of variables associated with vaccination hesitancy Intention to accept vaccine among working age migrants vs working age natives (18‐65 years old) We then carried out logistic regression to model opinions associated with vaccine hesitancy and controlled for the above variables. We found that vaccine hesitancy was significantly associated with the belief that there has been insufficient testing of COVID‐19 vaccines (OR = 1.7, P < .001), the view that authorities are motivated by financial gain rather than health of people (OR 1.14, P = .03) and that natural exposure to germs and viruses gives the safest protection (OR 1.22, P < .01) (see Table 5). Finally, we investigated variables that would give respondents more confidence in accepting the COVID‐19 vaccine (Table 7). Of those who were unsure and showed vaccine hesitancy, 36.1% and 43.4% respectively reported that their own understanding of the disease and vaccine was the main reason that would make them more confident to accept the vaccine. The figures for healthcare workers for the same variables were 37.7% and 49.7%, respectively. The “other” category contained free‐text responses, of which 172 (2.2%) of the respondents stated that they would not take it under any circumstance.
TABLE 7

Variables that would give more confidence in accepting the vaccine among hesitators and non‐hesitators

Variables

Vaccine acceptance

N (%)

YesUnsureNoTotal
Endorsement by a doctor1168 (31.3)232 (19.5)116 (9.2)1516 (24.5)
Endorsement by a public figure36 (0.97)8 (0.7)1 (0.1)45 (0.7)
Endorsement by Ministry of Health891 (23.8)155 (13.0)47 (3.7)1093 (17.7)
Endorsement by WHO795 (21.3)153 (12.9)53 (4.2)1001 (16.2)
Recommendation by friends/family98 (2.6)115 (9.7)85 (6.8)298 (4.8)
Research658 (17.6)430 (36.1)545 (43.4)1633(26.4)
Other92 (2.5)98 (8.2)410 (32.6)600 (9.7)
Total3738 (100)1191 (100)1257 (100)6186 (100)
Variables that would give more confidence in accepting the vaccine among hesitators and non‐hesitators Vaccine acceptance N (%)

DISCUSSION

This is one of the largest population‐based studies, to date, that addresses attitudes toward vaccination in the context of the COVID‐19 pandemic. Additionally, this is the first study in the Middle East and Northern African (MENA) region looking at the attitudes to the prospective COVID‐19 vaccine in a majority economic immigrant population using validated instruments that measure vaccine hesitancy within the SAGE framework. The main finding of this study is that as many as 20% of those surveyed showed hesitancy toward getting vaccinated with a COVID‐19 vaccine and a further 20% were unsure whether they would accept the vaccination or not. To put this in perspective, emerging evidence from the few studies that have investigated COVID‐19 vaccine hesitancy needs to be considered. A survey by the COCONEL group in March 2020, in France, found vaccine hesitancy rates of 26%. Fisher et al found vaccine hesitancy at 10.8% and 31.6% were unsure in a survey in the USA in April 2020. A Canadian study found hesitancy rates of 20%‐25% in May 2020, and one from Britain revealed hesitancy rates 9% with 27% being unsure. A global survey across 19 countries found the vaccine hesitancy rates at 28%, although the degree varied by country. In a survey in October 2020 across 15 countries by Ipsos, a market survey organization, it was noted that the rates of average hesitancy were around 27% and was actually increasing over the course of the pandemic; again, there was a variation the rates across the countries and regions. From the emerging evidence, it appears that the rates of hesitancy are relatively higher in high‐income countries compared to medium income countries. The medium‐income countries also show more trust in their governments which may be associated with higher acceptance rates. , Qatar is a high‐income country, but the majority of its population, 90%, are economic migrants from low‐ to medium‐income countries. This study found that the local Qatari population have significantly higher hesitancy rates comparable to high‐income countries whereas the economic migrants have significantly lower hesitancy rates giving an overall hesitancy rate which is somewhat lower than the global aggregate rates. It is possible that the migrant group sees vaccination as a means to return to full economic activity. Additionally, most of these economic migrants are young working age men who do not have families living with them in Qatar and do not have to worry about vaccine safety for their families leading to significantly lower vaccine hesitancy rates. It corresponds to or finding that the single biggest worry expressed by the respondents was worry of their family members getting infected. Across the surveyed populations in the published studies above, higher degrees of hesitancy were associated with lower socioeconomic and educational attainment. , , , Female gender and ethnic minority status was associated with more hesitancy in high‐income countries only. , , This study found that higher vaccine hesitancy was associated with female gender, being a native and being over 65 years of age. These findings are in keeping with high‐income countries and probably reflect the behavior and attitudes of the high‐income natives of Qatar. This is likely to be because of the unique composition of the Qatari population where the females and above working age individuals largely belong to either native population or economic migrants of high socioeconomic status. Economic migrants of poor socioeconomic status are generally young men who do not have families living with them. Further, this study's findings that females and older adults are more likely to show vaccine hesitancy is worrying as females play a central role in children's vaccination and older people are at higher risk of severe complications from the infection. In the published studies described above, a more or less consistent theme of concerns around the safety of the vaccine itself is emerging as the most prominent. This concern cuts across demographic variables and countries. These concerns range from possible unexplored side effects of the vaccine, beliefs about the disease itself, public perception of vaccine trials being rushed through, pharmaceutical companies profiteering from the vaccine and preferred reliance on natural immunity. , , , These findings were mirrored in our survey and concerns around vaccine safety and longer‐term side effects were significantly associated with vaccine hesitancy. The theme of concerns around vaccine safety was also significantly associated with vaccine hesitancy in healthcare workers themselves in this study population. Although concerning, it has been noted previously that while healthcare providers should be the ones that instill confidence in immunization programs, a paradoxical increase in vaccine hesitancy has been noticed in healthcare workers themselves for vaccination programs in the past. These concerns need to be taken together with our finding that nearly two thirds of those surveyed in our study reported that they trusted their own research to arrive at decision‐making for accepting the vaccine in preference to endorsement by healthcare professionals. This attribute of relying on personal research cut across demographic, socioeconomic, and educational variables in our study. It is well established that the availability of instant online information has allowed more and more people to seek information by themselves and this has been no different to COVID‐19. , Not surprisingly there is an increasing focus on the role of the media and particularly social media in shaping public opinion around the COVID‐19 disease and the vaccine. Studies have highlighted how media platforms of particular political leanings shape public opinion significantly different from those of the opposing political persuasion. Social media with its instant communication and access to wide audiences when coupled with ability to express anonymously provides an immense potential for propagation of unverified and unvetted information. Further, algorithms within social media platforms allow users to follow content that agrees with their views and reject contrasting views leading to development of distinct communities that subscribe to specific opinions and ideologies. This has been shown to be associated with increasing negative attitudes to the COVID‐19 and the vaccination. , , Our research further underlines the importance of developing trust in the safety of this vaccine. States and healthcare authorities need to recognize the power and influence of social media and devise innovative awareness and information dissemination strategies to increase vaccine uptake. Our study identifies the specific subgroups that these campaigns should be focused upon and the content of such campaigns. Finally, there are limited previous data on vaccine hesitancy in Qatar. While there have been no population‐based studies, two studies have explored the uptake of and attitudes to seasonal Flu vaccination among healthcare workers. These studies report low levels of vaccine acceptance among healthcare workers with the most prominent concerns being the safety and side effects of vaccination. , While the acceptance rates for COVID‐19 vaccine are higher in this study compared to these two, it is interesting to note that as many as 12.7% of respondents in this study, who would usually take their Flu vaccine, were vaccine hesitant indicating that different factors may be at play here which need to be further explored. Overall, the high degrees of hesitancy demonstrated should be of major public health concern when considering the minimum required proportion of the population needed vaccinate in order to achieve herd immunity. The frontrunners among the COVID‐19 vaccines in production are reporting efficiencies ranging between 70% and 80%, and with the reported R0 from pooled studies for COVID‐19 being 2.5 to 3.5, the percentage of the population that needs to be vaccinated to achieve herd immunity is between 70% and 90% underlining the magnitude of the task. Moreover, it is known that vaccine uptake may be actually lower than the stated intent so the expected impact of vaccine hesitancy on an immunization program may be far worse than anticipated. Therefore, possible determinants of vaccine hesitancy in this region require in‐depth exploration.

Strengths

We surveyed a large nationally representative sample which allows a degree of generalizability of the results. Moreover, this study was conducted in a demographically distinct part of the world with a migrant‐majority population. Our study was conducted at the time when the front runners for COVID‐19 vaccine were publishing efficiency results and states across the world were discussing mass immunization strategies. A validated vaccine hesitancy tool was used, and outcome measures were based on internationally established vaccine hesitancy parameters.

Limitations

Our sample was somewhat self‐selecting as the study was available only in two languages which although widely spoken throughout the state of Qatar still excludes some non‐speaking residents. Additionally, Internet access was required to participate. This survey was conducted before the actual vaccination programs were rolled out and the hesitancy rates and attitudes are likely to vary as the situation evolves.

CONCLUSION

Vaccine hesitancy has obvious repercussions for the success of planned immunization initiatives and has been recognized as a threat to universal immunization programs and across the globe. In fact, WHO estimates that around 1 in 5 children do not receive routine lifesaving immunizations and as a result an estimated 1.5 million children still die each year of diseases that could be prevented by vaccines that already exist due to vaccine hesitancy. We found that a significant proportion of the respondents in Qatar showed vaccine hesitancy to the COVID‐19 vaccine, and although the vaccine hesitancy was lower in economic immigrants, the hesitancy attitudes were almost always driven by concern around the vaccine safety. The reliance on personal research to seek information underlines the role of social media in playing a significant part in influencing people's attitudes toward vaccine uptake. States and healthcare authorities need to recognize the massive trust deficit around the vaccine and use the popular media used by people to share credible and reliable information.

CONFLICT OF INTEREST

None.

AUTHOR CONTRIBUTIONS

Majid Alabdulla and Shuja Reagu are joint first authors of this work. Majid Alabdulla: Conceptualization (equal); Investigation (equal); Methodology (equal); Project administration (equal); Resources (equal); Writing‐review & editing (equal). Shuja Reagu: Conceptualization (equal); Data curation (supporting); Formal analysis (equal); Funding acquisition (equal); Investigation (equal); Methodology (equal); Project administration (equal); Resources (supporting); Validation (equal); Writing‐original draft (lead); Writing‐review & editing (equal). Abdullatif Al Khal: Conceptualization (supporting); Investigation (supporting); Methodology (supporting); Project administration (supporting); Resources (equal); Writing‐review & editing (supporting). Marwa Elzain: Data curation (equal); Methodology (supporting); Project administration (equal); Resources (supporting); Writing‐review & editing (supporting). Roland Jones: Formal analysis (lead); Investigation (supporting); Software (lead); Validation (equal); Writing‐review & editing (equal).

PATIENT AND PUBLIC INVOLVEMENT STATEMENT

There was no Patient or Public involvement in the design or recruitment of this study.

PEER REVIEW

The peer review history for this article is available at https://publons.com/publon/10.1111/irv.12847. Supplementary Material Click here for additional data file. Click here for additional data file.
  25 in total

1.  Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline.

Authors:  Valmi D Sousa; Wilaiporn Rojjanasrirat
Journal:  J Eval Clin Pract       Date:  2010-09-28       Impact factor: 2.431

2.  Pandemic influenza A/H1N1 vaccination uptake among health care workers in Qatar: motivators and barriers.

Authors:  Mohamed Ghaith Alkuwari; Nagah A Aziz; Zaher A S Nazzal; Saad A Al-Nuaimi
Journal:  Vaccine       Date:  2011-03-03       Impact factor: 3.641

Review 3.  Vaccine hesitancy: an overview.

Authors:  Eve Dubé; Caroline Laberge; Maryse Guay; Paul Bramadat; Réal Roy; Julie Bettinger
Journal:  Hum Vaccin Immunother       Date:  2013-04-12       Impact factor: 3.452

Review 4.  Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases.

Authors:  Neha Puri; Eric A Coomes; Hourmazd Haghbayan; Keith Gunaratne
Journal:  Hum Vaccin Immunother       Date:  2020-07-21       Impact factor: 3.452

5.  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

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.  User-Driven Comments on a Facebook Advertisement Recruiting Canadian Parents in a Study on Immunization: Content Analysis.

Authors:  Jordan Lee Tustin; Natasha Sarah Crowcroft; Dionne Gesink; Ian Johnson; Jennifer Keelan; Barbara Lachapelle
Journal:  JMIR Public Health Surveill       Date:  2018-09-20

8.  A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19.

Authors:  Bin Cao; Yeming Wang; Danning Wen; Wen Liu; Jingli Wang; Guohui Fan; Lianguo Ruan; Bin Song; Yanping Cai; Ming Wei; Xingwang Li; Jiaan Xia; Nanshan Chen; Jie Xiang; Ting Yu; Tao Bai; Xuelei Xie; Li Zhang; Caihong Li; Ye Yuan; Hua Chen; Huadong Li; Hanping Huang; Shengjing Tu; Fengyun Gong; Ying Liu; Yuan Wei; Chongya Dong; Fei Zhou; Xiaoying Gu; Jiuyang Xu; Zhibo Liu; Yi Zhang; Hui Li; Lianhan Shang; Ke Wang; Kunxia Li; Xia Zhou; Xuan Dong; Zhaohui Qu; Sixia Lu; Xujuan Hu; Shunan Ruan; Shanshan Luo; Jing Wu; Lu Peng; Fang Cheng; Lihong Pan; Jun Zou; Chunmin Jia; Juan Wang; Xia Liu; Shuzhen Wang; Xudong Wu; Qin Ge; Jing He; Haiyan Zhan; Fang Qiu; Li Guo; Chaolin Huang; Thomas Jaki; Frederick G Hayden; Peter W Horby; Dingyu Zhang; Chen Wang
Journal:  N Engl J Med       Date:  2020-03-18       Impact factor: 91.245

Review 9.  The socio-economic implications of the coronavirus pandemic (COVID-19): A review.

Authors:  Maria Nicola; Zaid Alsafi; Catrin Sohrabi; Ahmed Kerwan; Ahmed Al-Jabir; Christos Iosifidis; Maliha Agha; Riaz Agha
Journal:  Int J Surg       Date:  2020-04-17       Impact factor: 6.071

10.  COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10).

Authors:  Jeffrey V Lazarus; Scott Ratzan; Adam Palayew; Francesco C Billari; Agnes Binagwaho; Spencer Kimball; Heidi J Larson; Alessia Melegaro; Kenneth Rabin; Trenton M White; Ayman El-Mohandes
Journal:  PLoS One       Date:  2020-10-06       Impact factor: 3.240

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  38 in total

1.  Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China.

Authors:  Jiahao Wang; Beibei Yuan; Xinran Lu; Xiaoxue Liu; Li Li; Shufan Geng; Haijun Zhang; Xiaozhen Lai; Yun Lyu; Huangyufei Feng; Rize Jing; Jia Guo; Yingzhe Huang; Xun Liang; Wenzhou Yu; Hai Fang
Journal:  Hum Vaccin Immunother       Date:  2021-12-14       Impact factor: 3.452

2.  Prevalence and correlates of COVID-19 vaccine hesitancy among the elderly in Qatar: A cross-sectional study.

Authors:  Mustafa Abdul Karim; Shuja M Reagu; Sami Ouanes; Abdul Waheed Khan; Wesam S Smidi; Nadeen Al-Baz; Majid Alabdulla
Journal:  Medicine (Baltimore)       Date:  2022-07-01       Impact factor: 1.817

3.  COVID-19 vaccine hesitancy and influence of professional medical guidance.

Authors:  Govind Nair; Kirthika Venkatesan; Arjun Nair; Irene N Firoz; Nisha Nigil Haroon
Journal:  J Educ Health Promot       Date:  2022-04-28

4.  COVID-19 vaccine hesitancy and attitudes in Qatar: A national cross-sectional survey of a migrant-majority population.

Authors:  Majid Alabdulla; Shuja Mohd Reagu; Abdullatif Al-Khal; Marwa Elzain; Roland M Jones
Journal:  Influenza Other Respir Viruses       Date:  2021-02-19       Impact factor: 5.606

5.  Joint analysis of the intention to vaccinate and to use contact tracing app during the COVID-19 pandemic.

Authors:  Marta Caserotti; Paolo Girardi; Alessandra Tasso; Enrico Rubaltelli; Lorella Lotto; Teresa Gavaruzzi
Journal:  Sci Rep       Date:  2022-01-17       Impact factor: 4.379

6.  Prevalence and Potential Determinants of COVID-19 Vaccine Hesitancy and Resistance in Qatar: Results from a Nationally Representative Survey of Qatari Nationals and Migrants between December 2020 and January 2021.

Authors:  Salma M Khaled; Catalina Petcu; Lina Bader; Iman Amro; Aisha Mohammed H A Al-Hamadi; Marwa Al Assi; Amal Awadalla Mohamed Ali; Kien Le Trung; Abdoulaye Diop; Tarek Bellaj; Mohamed H Al-Thani; Peter W Woodruff; Majid Alabdulla; Peter M Haddad
Journal:  Vaccines (Basel)       Date:  2021-05-07

7.  COVID-19 Vaccine Hesitancy in a Representative Education Sector Population in Qatar.

Authors:  Reem Al-Mulla; Marawan Abu-Madi; Qusai M Talafha; Reema F Tayyem; Atiyeh M Abdallah
Journal:  Vaccines (Basel)       Date:  2021-06-18

8.  Risk, Trust, and Flawed Assumptions: Vaccine Hesitancy During the COVID-19 Pandemic.

Authors:  Omid V Ebrahimi; Miriam S Johnson; Sara Ebling; Ole Myklebust Amundsen; Øyvind Halsøy; Asle Hoffart; Nora Skjerdingstad; Sverre Urnes Johnson
Journal:  Front Public Health       Date:  2021-07-01

9.  The Uptake and Vaccination Willingness of COVID-19 Vaccine among Chinese Residents: Web-Based Online Cross-Sectional Study.

Authors:  Yi Kong; Hao Jiang; Zhisheng Liu; Yi Guo; Dehua Hu
Journal:  Vaccines (Basel)       Date:  2022-01-08

10.  Sociodemographic Predictors Associated with the Willingness to Get Vaccinated against COVID-19 in Peru: A Cross-Sectional Survey.

Authors:  David Vizcardo; Linder Figueroa Salvador; Arian Nole-Vara; Karen Pizarro Dávila; Aldo Alvarez-Risco; Jaime A Yáñez; Christian R Mejia
Journal:  Vaccines (Basel)       Date:  2021-12-30
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