Health and Economic Impact of Routine Pediatric Pneumococcal Immunization Programs in Canada: A Retrospective Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: A model was developed to estimate the historical impact (including total societal health and economic benefit) of pneumococcal conjugate vaccine (PCV) programs in the overall Canadian population between 2005 and 2015, inclusively. METHODS: Historical incidence of invasive pneumococcal disease (IPD), pneumonia, and acute otitis media (AOM) were obtained from epidemiologic databases supplemented with published and unpublished data. Two scenarios were considered: (1) the observed historical incidence from 2005 to 2015 in the setting of PCV use; (2) a hypothetical scenario in which we estimated the number of disease cases assuming no PCV use. Disease cases averted as a result of PCV programs were calculated by subtracting the number of observed historical cases from the number of estimated cases expected in the absence of PCV use. RESULTS: PCV programs were estimated to have saved 6631 lives and averted 14,990 IPD cases, 735,700 pneumonia episodes, and 3,697,993 AOM episodes. Positive clinical outcomes resulted in total cost savings of CAD $1.76 billion over 11 years. Vaccination costs were offset by the direct medical cost savings from fewer cases of IPD, pneumonia, and AOM. CONCLUSIONS: Canadian PCV programs have provided significant health benefits and resulted in a substantial value for money. Net savings achieved over the reviewed period would have provided funding for $1.76 billion in other health care costs or public health initiatives. These findings highlight the importance of considering the total value of a vaccination program, rather than vaccine acquisition costs only, when assessing the value of immunization programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it