Literature DB >> 34467260

COVID-19 vaccination intention during early vaccine rollout in Canada: a nationwide online survey.

Xuyang Tang1, Hellen Gelband1, Nico Nagelkerke1, Isaac I Bogoch2, Patrick Brown1, Ed Morawski3, Teresa Lam3, Prabhat Jha1.   

Abstract

BACKGROUND: Understanding vaccination intention during early vaccination rollout in Canada can help the government's efforts in vaccination education and outreach.
METHOD: Panel members age 18 and over from the nationally representative Angus Reid Forum were invited to complete an online survey about their experience with COVID-19, including their intention to get vaccinated. Respondents were asked "When a vaccine against the coronavirus becomes available to you, will you get vaccinated or not?" Having no intention to vaccinate was defined as choosing "No - I will not get a coronavirus vaccination" as a response. Odds ratios and predicted probabilities are reported for no vaccine intentionality in demographic groups.
FINDINGS: 14,621 panel members completed the survey. Having no intention to vaccinate against COVID-19 is relatively low overall (9%) with substantial variation among demographic groups. Being a resident of Alberta (predicted probability = 15%; OR 0.58 [95%CI 0.14-2.24]), aged 40-59 (predicted probability = 12%; OR 0.87 [0.78-0.97]), identifying as a visible minority (predicted probability = 15%; OR 0.56 [0.37-0.84]), having some college level education or lower (predicted probability = 14%) and living in households of at least five members (predicted probability = 13%; OR 0.82 [0.76-0.88]) are related to lower vaccination intention.
INTERPRETATION: The study identifies population groups with greater and lesser intention to vaccinate in Canada. As the Canadian COVID-19 vaccination effort continues, policymakers may use this information to focus outreach, education, and other efforts on the latter groups, which also have had higher risks for contracting and dying from COVID-19. FUNDING: Pfizer Global Medical, Unity Health Foundation, Canadian COVID-19 Immunity Task Force.
© 2021 The Author(s). Published by Elsevier Ltd.

Entities:  

Keywords:  COVID-19; vaccine intention

Year:  2021        PMID: 34467260      PMCID: PMC8390972          DOI: 10.1016/j.lana.2021.100055

Source DB:  PubMed          Journal:  Lancet Reg Health Am        ISSN: 2667-193X


Evidence before this study

Several surveys assessing national-level vaccine hesitancy or acceptance have been published in final or in pre-print form for other countries (France, England, Italy, US). Only two other studies have surveyed vaccination acceptance among the general population in Canada, but their sample sizes are small compared to the Ab-C study. Other Canadian surveys focused on specific populations, such as healthcare workers and ethnic minorities, rather than the general population. We searched PubMed, medRxiv, bioRxiv, arXiv, and medRxiv up to May 5, 2021 for preprints and peer-reviewed articles reporting on COVID-19 vaccination hesitancy or intention, using search terms, such as “vaccine hesitancy COVID,” “covid vaccine,” “covid vaccine acceptance.”

Added value

The Ab-C study is the first nationwide and reasonably representative study of SARS-CoV-2 in Canada, including intention to be vaccinated against COVID during the early phase of vaccination rollout, beginning in late 2020. The study produced estimated probabilities for having no vaccination intention by specific demographic groups. Our findings confirm that most Canadians intend to be vaccinated, with 9% of adult Canadians having no intention to vaccinate. However, vaccination intention is comparatively lower in key demographic groups, including residents of Alberta, individuals without a university degree, and visible minorities.

Implications of all the available evidence

Consistent with earlier understanding, Ab-C documents a relatively high vaccination intention in Canada. However, because children do not currently have priority for vaccination and key demographic groups with higher proportions with no intention to vaccinate tend to cluster in networks, the combination may fuel subsequent local waves . Policymakers may wish to focus their resources on vaccination campaigns targeting the most reluctant groups and to begin vaccinating children as soon as possible. Alt-text: Unlabelled box

Introduction

Although the Canadian COVID-19 mortality rate is low compared to the United States and some European countries, many parts of Canada experienced a significant third wave in March-May 2021, driven by more infectious variants and lifting of public health measures [[1], [2], [3]]. Canada started vaccinating healthcare workers and nursing home residents in December 2020, and has prioritized the rest of the population by mortality risk factors (e.g., age, comorbidities), and some provinces further prioritized based on risk of disease acquisition (e.g., essential workers, living in highly impacted regions) [4,5]. Although Canada's COVID-19 vaccination efforts had a slow start with less than 4% of the population vaccinated with one dose by the end of February 2021 (compared to 15% in the United States) [6,7], two-thirds of Canadians had received at least 1 dose of a COVID-19 vaccine compared just over half in the United States by mid-June [6,7]. As a part of the ongoing Action to Beat Coronavirus (Ab-C) study [8], we report on levels and predictors of self-reported intention to vaccinate against COVID-19 and identify key groups with low intention to vaccinate at the start of the vaccine rollout in Canada. in a reasonably representative sample of Canadians. Intentionality toward vaccination is related to, but not synonymous with, vaccine hesitancy. The World Health Organization defines vaccine hesitancy as “delay in acceptance or refusal of vaccines despite availability of vaccine services” [9] that is influenced by complacency, convenience, and confidence [9,10], which applies in situations where vaccines are already on offer. There are other reasons for refusing or delaying vaccination (e.g., not meeting age eligibility requirements, in quarantine after natural SARS-CoV-2 infection, contraindication to the vaccine), which also affect both intentions and vaccination acceptance when available [11].

Methods

Study design and survey timeline

The Ab-C study is a collaboration between the University of Toronto, Unity Health Toronto, the Centre for Global Health Research, and the Angus Reid Forum (ARF) [12], an established panel of Canadian adults used for online opinion polling. The bilingual (English and French) Ab-C study started in 2020, with an initial online survey in May, including questions about COVID-19 symptoms and SARS-CoV-2 testing history. Respondents were then asked to self-collect a dried blood sample using a mailed kit so that seroprevalence during the first viral wave could be determined [[13], [14], [15]]. A second online survey, coinciding with Canada's vaccination rollout (December 2020 through February 2021) asked about COVID-19 symptoms and SARS-CoV-2 testing since the first survey, and about their intention to be vaccinated, which is the basis of this report [16]. A second dried blood sample was also requested. Ab-C participants receive no monetary compensation, but do receive modest redeemable points from the ARF.

Representativeness of the survey and sampling

44,270 members were invited to participate in the initial Ab-C survey (May to September 2020), stratified by age, sex, education, region, and census metropolitan area to match national demographic profiles. Of the 19,994 (45%) who responded, all of them were invited again in early 2021 to complete a second 20-item survey, which included a question about vaccination intention. Up to four reminder emails were sent after the initial invitation. 14,621 (73%) respondents completed the second survey. Ab-C respondents were similar demographically to the 2016 Canadian Census profile, with some exceptions [14,17,18]. First, people 60 years and older were intentionally oversampled to capture a greater share of the population at highest risk of SARS-CoV-2 [[13], [14], [15]]. Second, panel members with higher education levels were overrepresented (23% with a Bachelor's degree or higher in Canada and 43% in the second survey sample). Hence, all subsequent analyses were adjusted for education levels to achieve the same distribution as in the Canadian census [19]. The prevalences of smoking, diabetes, and hypertension were similar to national surveys [[20], [21], [22], [23]], suggesting that the health profile of the cohort was similar to national population distributions.

Survey questions

Participants were asked “When a vaccine against the coronavirus becomes available to you, will you get vaccinated or not?” The five possible responses were: 1. “No – I will not get a coronavirus vaccination,” 2. “Not sure,” 3. “Yes – I will eventually get a vaccination, but I will wait awhile first,” 4. “Yes – I will get a vaccination as soon as one becomes available to me,” 5. “I have already been vaccinated.” In the analysis, we combined responses 4 and 5 as indicating positive intent, leaving four ordered categories. Having no vaccination intention was defined as choosing “No – I will not get a coronavirus vaccination” as a response. No questions were asked about why respondents chose their responses.

Analytical method

We calculated odd ratios (ORs) of intention to vaccinate by province, age, sex, education, visible minority, Indigenous ancestry, household size, body mass index (BMI), smoking status, and history of diabetes and hypertension using a survey weighted ordered logit model. The variables were selected to address the inherent differences in disease outcome in demographic groups (e.g., age), healthcare access (e.g., Indigenous ancestry), transmission of diseases in close quarters (e.g., household size), provincial policies, and other common factors that may affect individuals’ health (e.g., smoking status, BMI, history of diabetes and hypertension). To identify high-risk groups, we modeled predicted probabilities (prevalences) of each vaccination intention level by demographic group after obtaining the ORs. These probabilities have been adjusted for educational attainment levels by weighting. Prior to calculating ORs, parallel line assumptions (also known as the proportional odds assumption, which assumes that the relationship between demographics and different thresholds of the outcome is proportional) [24] were tested for each demographic factor at the 0.05 level within the survey setting, and all variables met this assumption. The overall – multivariable - model also meets the parallel line assumption with an adjusted Wald test. All analyses were done in Stata 16 [25].

Ethics

The Ab-C study was approved by the IRB of Unity Health Toronto. Informed consent was obtained from all participants through an online form at the beginning of the survey, which could not proceed without consent.

Role of the funding source

The funders had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

Results

Between January and March 2021, 14,621 participants out of 20,359 polled responded to the survey. The largest number of respondents were from Ontario (39.4%), followed by British Columbia and Yukon (18.9%), Quebec (15.7%), Alberta (12.6%), Manitoba and Saskatchewan (7%), and the Atlantic provinces (7%). Most participants are below age 70 (30% age 18-39, 35% age 40-59, 24% age 60-69), and 12% age 70 or above. 53% were women and 46% were men, and 34% had some (incomplete) university education and 43% were university graduates. About 14% identified as visible minorities and 9% had Indigenous ancestry. Almost half (43%) of the respondents lived with another person, while others lived alone (18%) or in a household of three (17%), four (15%) or at least five (7%). 32% and 27% had BMI classified as overweight [[25], [26], [27], [28], [29], [30]] or obese (>30), respectively. 48% were former or current smokers. Almost 10% of the participants were diagnosed with diabetes and 27% had hypertension. Among Ab-C participants, 9% had no intention to vaccinate (Table 1 ). Alberta (16%) and other Prairie provinces (14%) had higher proportions not intending to vaccinate compared to less than 10% in all other provinces. Participants aged 40-59 had the lowest vaccination intention, with 11.6% reporting no intention to vaccinate, compared to less than 10% in all other age groups. Men had greater proportion with no intention to vaccinate (11%) than women (8%), and those with less than college level education (e.g., associate or technical degree) or less had more respondents with no intention to vaccinate (14%) than participants with other levels of education. Other groups with lower intention to vaccinate than average included those identifying themselves as visible minority (12%), Indigenous (15%), and those living in households of five or more people (16%).
Table 1

Unweighted survey sample characteristics (n = 14,621)

CanadaAb-C
Ab-C respondents who "Will not vaccinate" by demographics
Test of difference in vaccination intention in groups
%n%nrow %p value
Total14,621100%13559.3%
Province
Ontario38%5,76639.4%4487.8%<0.0001
British Columbia13%2,76118.9%1997.2%
Quebec23%2,29915.7%1918.3%
Alberta12%1,83912.6%30116.4%
Manitoba & Saskatchewan7%1,0277%14213.8%
Atlantic provinces7%9296.4%748%
Age groups
18 to 39 years49%4,27029.2%3969.3%<0.0001
40 to 59 years28%5,10634.9%59011.6%
60 to 69 years12%3,47223.7%2577.4%
70 years or older11%1,77312.1%1126.3%
Sex
Male49%6,74246.1%73610.9%<0.0001
Female51%7,77753.2%6027.7%
Prefer to self-describe0%1020.7%1716.7%
Education
Some college or lower45%3,40223.3%46813.8%<0.0001
Some university32%4,93533.8%56411.4%
Bachelor or higher23%6,28443%3235.1%
Visible minority
No78%12,52685.7%1,0988.8%<0.0001
Yes22%2,09514.3%25712.3%
Indigenous ancestry
Not Indigenous95%13,31791.1%1,1648.7%<0.0001
Indigenous5%1,3048.9%19114.6%
Household size
One person28%2,67818.3%2629.8%<0.0001
Two people34%6,31543.2%5017.9%
Three people15%2,41516.5%2199.1%
Four people14%2,16314.8%2049.4%
Five or more people8%1,0507.2%16916.1%
Body Mass Index
Under or normal weight (< 25 kg/m2)37%4,31829.5%3969.2%0.162
Overweight (≥ 25 kg/m2 & < 30 kg/m2)37%4,71632.3%4479.5%
Obese (≥ 30 kg/m2)27%3,91426.8%3378.6%
Unknown1,67311.4%17510.5%
Smoking status
Never46%7,31050%6328.6%0.016
Former or current54%7,06348.3%6939.8%
Unknown0%2481.7%3012.1%
Diabetic
No91%13,06489.4%1,2229.4%0.122
Yes9%1,4249.7%1168.1%
Unknown0%1330.9%1712.8%
Hypertensive
No77%10,41971.3%1,0269.8%<0.0001
Yes23%3,98027.2%2997.5%
Unknown0%2221.5%3013.5%

Notes:

British Columbia includes Yukon. Manitoba & Saskatchewan include Northwest Territories.

The category "Unknown" represents non-responses in the survey.

The category "Prefer to self-describe" is a choice of sex in Angus Reid Forum's member profile.

n – unweighted counts

% - survey weighted percentages

Sources of % of characteristics at the Canadian national-level:

aCensus Canada 2016 [[17], [18], [19],30]

bHealth Fact Sheets [20,21]

cHealth Reports [22]

dPublic Health Agency of Canada [23]

Unweighted survey sample characteristics (n = 14,621) Notes: British Columbia includes Yukon. Manitoba & Saskatchewan include Northwest Territories. The category "Unknown" represents non-responses in the survey. The category "Prefer to self-describe" is a choice of sex in Angus Reid Forum's member profile. n – unweighted counts % - survey weighted percentages Sources of % of characteristics at the Canadian national-level: aCensus Canada 2016 [[17], [18], [19],30] bHealth Fact Sheets [20,21] cHealth Reports [22] dPublic Health Agency of Canada [23] Table 2 presents participants’ weighted ORs of vaccination intention, and Table 3 represents the predicted probabilities to not vaccinate for each demographic group. Compared to the reference groups, the demographics with lower odds of intending to vaccinate included age 40-59 years (OR = 0.87, 0.78 – 0.97, predicted probability = 12%), being a visible minority (OR = 0.56, 0.37 – 0.84, predicted probability = 15%), and belonging to a household of five or more people (OR = 0.82, 0.76 – 0.88, predicted probability = 13%). Being from Alberta and having some college level education or lower also had higher predicted probability of having no intention to vaccinate at 15% and 14%, respectively. Having BMI <25 was also associated with a slightly higher probability of having no intention to vaccinate at 11%, compared to those being overweight (10%) or obese (9%). The predicted probabilities of unwillingness for key demographic groups are displayed in Figure 1 .
Table 2

Results of the weighted ordered logit for intention to vaccinate

nUnivariate results
Multivariate results
Weighted ORWeighted 95% CIWeighted ORWeighted 95% CI
Province
Ontario5,766RefRef
British Columbia2,7611.00(0.66, 1.53)1.09(0.67, 1.77)
Quebec2,2991.04(0.68, 1.57)1.01(0.72, 1.43)
Alberta1,8390.57(0.14, 2.24)0.58(0.17, 2.01)
Manitoba & Saskatchewan1,0270.63(0.17, 2.36)0.70(0.21, 2.28)
Atlantic provinces9290.93(0.64, 1.35)0.95(0.52, 1.74)
Age groups
18 to 39 years4,270RefRef
40 to 59 years5,1060.85*(0.78, 0.92)0.87*(0.78, 0.97)
60 to 69 years3,4721.45*(1.21, 1.73)1.41*(1.03, 1.92)
70 years or older1,7731.94*(1.86, 2.03)1.75*(1.50, 2.04)
Sex
Male6,742RefRef
Female7,7771.23(1.00, 1.51)1.23(0.97, 1.56)
Prefer to self-describe1020.50(0.21, 1.21)0.76(0.38, 1.53)
Education
Some college or lower3,402RefRef
Some university4,9351.32*(1.10, 1.58)1.33*(1.10, 1.62)
Bachelor or higher6,2842.57*(1.54, 4.29)2.83*(1.96, 4.09)
Visible minority
No12,526RefRef
Yes2,0950.56*(0.37, 0.84)0.56*(0.37, 0.84)
Indigenous ancestry
Not Indigenous13,317RefRef
Indigenous1,3040.71*(0.54, 0.94)0.95(0.86, 1.05)
Household size
One person2,678RefRef
Two people6,3151.22*(1.14, 1.31)1.28*(1.09, 1.50)
Three people2,4151.01(0.82, 1.24)1.19(0.87, 1.62)
Four people2,1630.96(0.79, 1.16)1.20(0.82, 1.75)
Five or more people1,0500.62*(0.49, 0.78)0.82*(0.76, 0.88)
Body Mass Index
Under or normal weight (< 25 kg/m2)4,318RefRef
Overweight (≥ 25 kg/m2 & < 30 kg/m2)4,7161.04(0.75, 1.43)1.11(0.75, 1.63)
Obese (≥ 30 kg/m2)3,9141.04(0.85, 1.26)1.18*(1.05, 1.34)
Unknown1,6730.79(0.58, 1.07)0.93(0.59, 1.48)
Smoking status
Never7,310RefRef
Former or current7,0630.90(0.77, 1.07)0.99(0.85, 1.15)
Unknown2480.57*(0.36, 0.90)0.83(0.57, 1.22)
Diabetic
No13,064RefRef
Yes1,4241.23*(1.08, 1.39)1.11(0.85, 1.44)
Unknown1330.45*(0.38, 0.53)0.77(0.32, 1.85)
Hypertensive
No10,419RefRef
Yes3,9801.32*(1.25, 1.38)1.21*(1.09, 1.33)
Unknown2220.50*(0.26, 0.95)0.72(0.47, 1.10)

Notes:

British Columbia includes Yukon. Manitoba and Saskatchewan include Northwest Territories.

The category "Unknown" represents non-responses in the survey.

The category "Prefer to self-describe" is a choice of sex in Angus Reid Forum's member profile.

* p value <0.05

OR – odds ratio

95% CI – confidence interval

Table 3

Predicted probabilities for vaccination hesitancy from multivariate ordered logit

Will not vaccinate
ProbSE
Province
Ontario9.2%*(1.2%)
British Columbia8.5%*(1.7%)
Quebec9.1%*(1.4%)
Alberta14.6%(4.7%)
Manitoba & Saskatchewan12.6%(3.1%)
Atlantic provinces9.6%*(1.4%)
Age groups
18 to 39 years10.7%*(2.2%)
40 to 59 years12%*(2.2%)
60 to 69 years7.9%*(1.2%)
70 years or older6.5%*(1.2%)
Sex
Male11%*(2%)
Female9.1%*(1.7%)
Prefer to self-describe13.8%(3.7%)
Education
Some college or lower14%*(2.7%)
Some university11%*(2%)
Bachelor or higher5.6%*(0.8%)
Visible minority
No9.2%*(1.8%)
Yes15%*(1.6%)
Indigenous ancestry
Not Indigenous10%*(1.8%)
Indigenous10.4%*(1.7%)
Household size
One person11.3%*(2.4%)
Two people9.1%*(1.7%)
Three people9.7%*(1.5%)
Four people9.7%*(1.3%)
Five or more people13.4%*(2.8%)
Body Mass Index
Under or normal weight (< 25 kg/m2)10.7%*(1.6%)
Overweight (≥ 25 kg/m2 & < 30 kg/m2)9.8%*(2.1%)
Obese (≥ 30 kg/m2)9.2%*(1.6%)
Unknown11.3%*(2.3%)
Smoking status
Never10%*(1.9%)
Former or current10.1%*(1.7%)
Unknown11.7%*(2.5%)
Diabetic
No10.1%*(1.8%)
Yes9.2%*(2.1%)
Unknown12.6%(3.2%)
Hypertensive
No10.4%*(1.8%)
Yes8.8%*(1.8%)
Unknown13.7%*(1.6%)

Notes:

British Columbia includes Yukon. Manitoba & Saskatchewan include Northwest Territories.

The category "Unknown" represents non-responses in the survey.

The category "Prefer to self-describe" is a choice of sex in Angus Reid Forum's member profile.

* p value <0.05

Prob – predicted probabilities

SE – standard error

Figure 1

Probabilities of unwillingness to vaccinate for key demographic groups among participants in the Ab-C study

Results of the weighted ordered logit for intention to vaccinate Notes: British Columbia includes Yukon. Manitoba and Saskatchewan include Northwest Territories. The category "Unknown" represents non-responses in the survey. The category "Prefer to self-describe" is a choice of sex in Angus Reid Forum's member profile. * p value <0.05 OR – odds ratio 95% CI – confidence interval Predicted probabilities for vaccination hesitancy from multivariate ordered logit Notes: British Columbia includes Yukon. Manitoba & Saskatchewan include Northwest Territories. The category "Unknown" represents non-responses in the survey. The category "Prefer to self-describe" is a choice of sex in Angus Reid Forum's member profile. * p value <0.05 Prob – predicted probabilities SE – standard error Probabilities of unwillingness to vaccinate for key demographic groups among participants in the Ab-C study

Discussion

This study assessed intention to be vaccinated in the early phase of vaccination rollout in a nationally representative sample of Canadians, identifying differences by age, education, ethnicity, and provincial residence. The 9% with no intention to vaccinate in our survey of Canadian adults is significantly lower than the 15-35% reported in Latin American countries (64.6% vaccination intention in Paraguay to 85% vaccination intention in Puerto Rico U.S.) in a recent cross-sectional study [26] and the 20% respondents who are unlikely to receive a COVID-19 vaccine in Canada from a population-based study that surveyed 4,948 respondents in British Columbia [27]. Our result that visible minorities are more likely not to vaccinate than others is consistent with the findings of a recent cohort study from the United States and the United Kingdom [28]. Surprisingly, a longitudinal study that examined vaccination attitudes in the United States between March and August 2020 has shown a decline in favorable attitudes, in contrast to an initial assumption that increasing experience with the vaccines would favor increasing acceptance [28]. This finding is a reminder to the public health community that although most people in Canada intend to be vaccinated at some point, 9% of people without intention to vaccinate may still impose a notable hurdle to reaching herd immunity (which potentially has a threshold of at least 70% of the population for SARS-CoV-2 if all restrictions on activities were lifted [29]), especially given that the virus and its variants are expected to become endemic [30] and that people under age 12 are still not eligible for vaccination [31]. Applying the 9% without vaccination intention to Canada as a whole, the approximately 3 million adult Canadians who might not get vaccinated could play an important role in perpetuating viral transmission. This group may interact with the approximate 5 million Canadians below age 12 [32] who are not likely to be vaccinated soon. Moreover, vaccine effectiveness in reducing infection (and perhaps reducing transmission) is about 90% for most of the vaccines available in Canada [33], which suggests that some vaccinated people may also contribute to continuing viral circulation. Within particular sub-groups, such as visible minorities, more people wishing not to vaccinate paired with greater exposure to children might lead to fueling transmission within local networks [34,35]. Thus, encouraging vaccine intention overall (and eventually vaccinating children) is important. This study has three limitations. First, the online survey did not ask about participants’ attitudes and beliefs towards vaccination generally prior to asking them about their intention to vaccinate against COVID-19, nor did it ask the reasons for their response to the vaccination question. People who have preferences regarding vaccine types may be more willing to wait for a particular vaccine which could affect vaccination intention (36). The next phases of the Ab-C study will include questions to elicit information about the reasons for declining vaccination and to determine whether people followed through on their intentions. Second, this cross-sectional survey cannot detect changes in attitudes toward COVID-19 vaccination. Third, although the oversampling of older age groups was only relevant for the initial Ab-C survey, the higher proportions of older age groups persisted in this survey. The survey weights did not adjust for the oversampling of older age groups. The limitation on sampling may affect the generalizability of the results among younger age groups, while the lack of information about attitudes and beliefs about vaccines limits the understanding about why vaccination hesitancy exists. The survey may have underestimated the proportion of the population with no intention to get vaccinated if people felt that the “socially responsible” response was to say they would take a COVID vaccine. As the Canadian COVID-19 vaccination effort continues, policymakers may want to focus outreach, education, and other efforts on the groups identified with the lowest inclination to get vaccinated, which are also the groups with higher risks for contracting and dying from COVID-19 [36]. Influence from family physicians or Provincial Health Officers may address intention to receive a COVID-19 vaccine [27]. As Canada's vaccination campaign continues, with a goal of vaccinating the majority of the population by September 2021 [4], we will periodically re-survey the Ab-C cohort and report on actual vaccination history, which will shed light on the relationship between intentionality and hesitancy.

Contributors

Conceived the idea and developed the study design: PJ. Data collection and analyses: XT, EM, TL. XT, NN, HG and PJ wrote the initial draft, and all authors were involved in commenting on subsequent revisions. PJ is the guarantor.

Declaration of interests

We declare no competing interests.

Data sharing

The Ab-C Data will be publicly available through the Canadian Immunity Task Force data release.
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Authors:  Jeanna Parsons Leigh; Donna Halperin; Sara J Mizen; Emily A FitzGerald; Stephana Julia Moss; Kirsten M Fiest; Antonia Di Castri; Henry T Stelfox; Scott Halperin
Journal:  Hum Vaccin Immunother       Date:  2022-04-13       Impact factor: 4.526

2.  Characterizing intentions to receive the COVID-19 vaccine among the general population in British Columbia based on their future intentions towards the seasonal influenza vaccine.

Authors:  Bhawna Sharma; C Sarai Racey; Amy Booth; Arianne Albert; Laurie W Smith; Anna Gottschlich; David M Goldfarb; Melanie C M Murray; Liisa A M Galea; Angela Kaida; Lori A Brotto; Manish Sadarangani; Gina S Ogilvie
Journal:  Vaccine X       Date:  2022-08-18

3.  Measuring inequalities in COVID-19 vaccination uptake and intent: results from the Canadian Community Health Survey 2021.

Authors:  Mireille Guay; Aubrey Maquiling; Ruoke Chen; Valérie Lavergne; Donalyne-Joy Baysac; Audrey Racine; Eve Dubé; Shannon E MacDonald; Nicolas L Gilbert
Journal:  BMC Public Health       Date:  2022-09-08       Impact factor: 4.135

4.  Digital health literacy for COVID-19 vaccination and intention to be immunized: A cross sectional multi-country study among the general adult population.

Authors:  Roy Rillera Marzo; Tin Tin Su; Roshidi Ismail; Mila Nu Nu Htay; Mohammad Yasir Essar; Shekhar Chauhan; Mark E Patalinghug; Burcu Kucuk Bicer; Titik Respati; Susan Fitriyana; Wegdan Baniissa; Masoud Lotfizadeh; Farzana Rahman; Zahir Rayhan Salim; Edlaine Faria de Moura Villela; Kittisak Jermsittiparsert; Yadanar Aung; Nouran Ameen Elsayed Hamza; Petra Heidler; Michael G Head; Ken Brackstone; Yulan Lin
Journal:  Front Public Health       Date:  2022-09-16

Review 5.  Prevalence and factors related to COVID-19 vaccine hesitancy and unwillingness in Canada: A systematic review and meta-analysis.

Authors:  Jude Mary Cénat; Pari-Gole Noorishad; Seyed Mohammad Mahdi Moshirian Farahi; Wina Paul Darius; Aya Mesbahi El Aouame; Olivia Onesi; Cathy Broussard; Sarah E Furyk; Sanni Yaya; Lisa Caulley; Marie-Hélène Chomienne; Josephine Etowa; Patrick R Labelle
Journal:  J Med Virol       Date:  2022-09-16       Impact factor: 20.693

Review 6.  A Global Map of COVID-19 Vaccine Acceptance Rates per Country: An Updated Concise Narrative Review.

Authors:  Malik Sallam; Mariam Al-Sanafi; Mohammed Sallam
Journal:  J Multidiscip Healthc       Date:  2022-01-11
  6 in total

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