Compliance with COVID-19 Public Health Measures: Exploring Perspectives of Younger Adults in Ontario
Bibliographic record
Abstract
To slow the spread of COVID-19, public health mitigation strategies were implemented globally. Compliance with these measures varied greatly among different age groups in Ontario, Canada, with lower compliance found among adults 20-39 years of age. The objectives of this study were to explore facilitators and barriers to adherence to COVID-19 public health measures among these young adults and to use insights gathered from this research to inform interventions to address the identified barriers. A total of 5 focus groups with 22 participants were conducted in December 2020. Participants were eligible to be included if they were English-speaking, aged 20-39 years, resided in a specific geolocation, and had access to the internet. A phenomenological research design was used, and data were analysed using a notes-based thematic approach. Several themes emerged as barriers or facilitators to compliance including concern for others, weather, social pressure or influence, and potential shame or guilt. Many participants reported assessing their own risks to determine their level of compliance, and most tried to mitigate harms if they did not follow the measures. The findings from this project fill a current gap in understanding the complex factors that influence compliance to public health infection control measures and offers practical recommendations to inform health promotion strategies to increase compliance not only for COVID-19 measures but for other and future infectious diseases as well.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".