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Intention to receive a COVID-19 vaccine: results from a population-based survey in Canada

Overview of attention for article published in BMC Public Health, May 2021
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Citations

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Title
Intention to receive a COVID-19 vaccine: results from a population-based survey in Canada
Published in
BMC Public Health, May 2021
DOI 10.1186/s12889-021-11098-9
Pubmed ID
Authors

Gina S. Ogilvie, Shanlea Gordon, Laurie W. Smith, Arianne Albert, C. Sarai Racey, Amy Booth, Anna Gottschlich, David Goldfarb, Melanie C. M. Murray, Liisa A. M. Galea, Angela Kaida, Lori A. Brotto, Manish Sadarangani

Abstract

The success of any COVID-19 vaccine program ultimately depends on high vaccine uptake. This study determined overall intention to receive a COVID-19 vaccine and identified factors that predict intentions to be vaccinated against COVID-19 in Canada, specifically in key priority groups identified by the American Committee on Immunization Practice (ACIP) and the National Advisory Committee on Immunization (NACI) for early immunization. Individuals from research cohorts from the general population of British Columbia aged 25-69 were invited complete an online survey based on validated scales and theoretical frameworks to explore intention to receive a COVID-19 vaccine. Two multivariable logistic regression models were conducted to determine factors associated with intention to receive the COVID-19 vaccine. Of 4948 respondents, 79.8% intended to receive a COVID-19 vaccine. In multivariable modeling, respondents who intended to receive the vaccine had higher vaccine attitudinal scores (p <  0.001), reported greater influence of direct social norms (p = 0.001), and indirect social norms, including their family physician (p = 0.024), and Provincial Health Officer (p = 0.011). Older individuals (> 60 years) were more likely to intend to receive the vaccine, while females (95%CI 0.57,0.93), those with less than high school education (95%CI 0.5,0.76), those who self-identified as non-white (95%CI 0.60,0.92), self-identified as Indigenous (95%CI 0.36,0.84) and essential non-health care workers (95%CI 0.59,0.86) had lower adjusted odds of intending to receive a COVID-19 vaccine. To optimize vaccine coverage, public health should focus on key messages around vaccine safety and benefit, and leverage trusted practitioners for messaging. As certain key populations identified by NACI and ACIP for early immunization report a lower intention to vaccinate, there is a need for in-depth education and support for these communities to ensure optimal uptake.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 190 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 14%
Researcher 19 10%
Student > Bachelor 17 9%
Student > Ph. D. Student 10 5%
Other 10 5%
Other 30 16%
Unknown 78 41%
Readers by discipline Count As %
Medicine and Dentistry 31 16%
Nursing and Health Professions 18 9%
Psychology 12 6%
Social Sciences 10 5%
Business, Management and Accounting 6 3%
Other 29 15%
Unknown 84 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2021.
All research outputs
#6,570,938
of 24,967,663 outputs
Outputs from BMC Public Health
#6,890
of 16,623 outputs
Outputs of similar age
#132,038
of 440,018 outputs
Outputs of similar age from BMC Public Health
#235
of 478 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 16,623 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 478 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.