Post-pandemic Spread of Influenza and RSV in a Child Care Facility in Ontario in the Presence of Vaccination
Bibliographic record
Abstract
A bstract We present a mathematical model of a daycare center in Ontario to investigate concurrent pathogen transmissions among students (1.5 to 4 years) and teachers in a simulated child care center. The pathogens included are seasonal influenza and RSV. The model simulates detailed movements and interactions within a structured childcare environment, enabling analysis of pathogen exposure, infection rates, and transmission dynamics. Simulations incorporate empirical contact data collected from an Ontario daycare facility, existing values of epidemiological parameters, and publicly available health statistics. Pathogens are assumed to be introduced from outside of the facility, and the model provides estimates of infection rates within the childcare facility, as well as likelihood of re-introduction from offsite. Results derived from the model further explore the impact of existing and potential vaccination strategies on diseases transmission. We explore scenarios reflecting current vaccination uptake for influenza, as well as potential uptake and efficacy of a novel RSV vaccine.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".