Reanalysis of the Clinical and Economic Burden of Pneumococcal Disease Due to Serotypes Contained in Current and Investigational Pneumococcal Conjugate Vaccines in Children < 5 Age: A Societal Perspective
Bibliographic record
Abstract
INTRODUCTION: Studies that estimate the economic burden of pediatric pneumococcal disease often only report direct medical costs and omit indirect non-medical costs. Given these indirect costs are not included in most calculations, the full economic burden attributable to pneumococcal conjugate vaccine (PCV) serotypes is often underestimated. This study seeks to quantify the full broader economic burden of pediatric pneumococcal disease associated with PCV serotypes. METHODS: We conducted a reanalysis of a previous study where non-medical costs associated with caregiving for a child with pneumococcal disease are considered. The annual indirect non-medical economic burden attributed to PCV serotypes was subsequently calculated for 13 countries. We included five countries with 10-valent (PCV10) national immunization programs (NIPs) (Austria, Finland, The Netherlands, New Zealand, and Sweden) and eight countries with 13-valent (PCV13) NIPs (Australia, Canada, France, Germany, Italy, South Korea, Spain, and the UK). Input parameters were derived from published literature. Indirect costs were inflated to 2021 values in US dollars (USD). RESULTS: The total annual indirect economic burden associated with pediatric pneumococcal diseases attributable to PCV10, PCV13, the 15-valent (PCV15), and the 20-valent (PCV20) serotypes were $46.51 million, $158.95 million, $223.00 million, and $413.97 million, respectively. The five countries with PCV10 NIPs bear a greater societal burden associated with PCV13 serotypes, whereas the residual societal burden in the eight countries with PCV13 NIPs was primarily attributable to non-PCV13 serotypes. CONCLUSION: The inclusion of non-medical costs nearly tripled the total economic burden compared with only including direct medical costs estimated from a previous study. The results from this reanalysis can help inform decision-makers on the broader economic societal burden associated with PCV serotypes and the need for higher-valent PCVs.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".