Understanding national trends in COVID-19 vaccine hesitancy in Canada – April 2020 to March 2021
Bibliographic record
Abstract
Abstract Objective Key to reducing COVID-19 morbidity and mortality and reducing the need for further lockdown measures in Canada and worldwide is widespread acceptance of COVID-19 vaccines. Vaccine hesitancy has emerged as a key barrier to achieving optimal vaccination rates, for which there is little data among Canadians. This study examined rates of vaccine hesitancy and their correlates among Canadian adults. Methods This study analyzed data from five age, sex and province-weighted population-based samples to describe rates of hesitancy between April 2020 and March 2021 among Canadians who completed online surveys as part of the iCARE Study, and various sociodemographic, clinical and psychological correlates. Vaccine hesitancy was assessed by asking: “ If a vaccine for COVID-19 were available today, what is the likelihood that you would get vaccinated? ” Responses were dichotomized into ‘very likely’, ‘unlikely’, ‘somewhat unlikely’ (reflecting some degree of vaccine hesitancy) vs ‘extremely likely’ to get the vaccine, which was the comparator. Results Overall, 15,019 respondents participated in the study. A total of 42.2% of respondents reported vaccine hesitancy over the course of the study, which was lowest during surveys 1 (April 2020) and 5 (March 2021) and highest during survey 3 (November 2020). Fully adjusted multivariate logistic regression analyses revealed that women, those aged 50 and younger, non-Whites, those with high school education or less, and those with annual household incomes below the poverty line in Canada (i.e., $60,000) were significantly more likely to report being vaccine hesitant over the study period, as were essential and healthcare workers, parents of children under the age of 18, and those who do not get regular flu vaccines. Believing engaging in infection prevention behaviours (like vaccination) is important for reducing virus transmission and high COVID-19 health concerns (being infected and infecting others) were associated with 77% and 54% reduction in vaccine hesitancy, respectively, and having high personal financial concerns (worried about job or income loss) was associated with 1.33 times increased odds of vaccine hesitancy. Conclusion Results point to the importance of targeting vaccine efforts to women, younger people and socioeconomically disadvantaged groups, and that vaccine messaging should emphasize the benefits of getting vaccinated, and how the benefits (particularly to health) far outweigh the risks. Future research is needed to monitor ongoing changes in vaccine intentions and behaviour, as well as to better understand motivators and facilitators of vaccine acceptance, particularly among vulnerable groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".