90 An analysis of COVID-19 public health measure adherence among parents and children and the corresponding effects of lockdowns and school closures
Bibliographic record
Abstract
Abstract Background Public health preventive measures have been a necessary intervention in preventing COVID-19 transmission. Objectives The objectives of this study were 1) To investigate how the adherence to COVID-19 public health measures among parents and children in Ontario changed over time; 2) To determine if provincial lockdowns were associated with higher adherence to public health measures among parents; 3) To determine if school closures were associated with higher adherence to public health measures among children. Design/Methods A longitudinal study was conducted in children aged 0-10 years and their parents through the TARGet Kids! COVID-19 Study of Children and Families in the Greater Toronto Area, Canada (April 2020 -May 2021). Parents completed weekly questionnaires on sociodemographics and public health practices. The primary exposure was calendar date. Secondary exposures were provincial lockdowns and school closures. The primary outcome was adherence to public health preventive measures (staying home, limiting visitors in the home, avoiding contact with others, socially distancing, and handwashing, measured as number of days practicing per week) measured separately for parents and children. Linear mixed effects regression and piecewise linear splines mixed effects models were conducted. Results 819 children and their parents contributed 13,220 observations to the study over 13 months. Mean age was 5.6 years (SD=2.7) and 373 were female (45.5%). 273 children (35.1%) had a parent who worked as an essential worker and 254 (35.4%) of families lived in a COVID-19 ‘hotspot’. The number of days per week that parents adhered to all 5 public health measures decreased by 0.029 days (p<0.001), and by 0.146 days for children (p<0.001) over the study duration. For parents, adherence to the five public health measures decreased over time during the first lockdown (β=-0.06, p<0.001) and first reopening (β=-0.01, p<0.001), but increased again during the second lockdown (β=0.01, p<0.001). For children, adherence to the five public health measures decreased over time during the first school closure, increased during the second closure, and decreased during second reopening (β=-0.04, p<0.01). See Figure 1. Conclusion Parents and children both decreased in their adherence to social distancing, staying at home, and avoiding contact with others over time. Lockdown after a period of reopening increased parent adherence to public health measures and school closures increased adherence in children. Supports may be necessary to help children and parents maintain adherence to public measures over prolonged periods of lockdown and school closure.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".