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Record W4406861915 · doi:10.57598/r33c

Effects and costs of pneumococcal conjugate vaccination of Belgian children

2006· book· en· W4406861915 on OpenAlexfundno aff
Philippe Beutels, Pierre Van Damme, Froukje Oosterhuis-Kafeja

Bibliographic record

Venuenot available
Typebook
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsnot available
FundersCenters for Disease Control and PreventionCentre hospitalier universitaire Sainte-JustineUniversité LavalVrije Universiteit BrusselUniversiteit HasseltUniversité de GenèveInstitut National d'assurance Maladie-InvaliditéInstitut de Veille SanitaireKU Leuven
KeywordsConjugatePneumococcal conjugate vaccineVaccinationPneumococcal vaccinationMedicineVirologyStreptococcus pneumoniaeMathematicsBiologyMicrobiologyAntibiotics

Abstract

fetched live from OpenAlex

Pneumococcal vaccination of children i FOREWORDVaccinations are an extremely successful chapter in the history of medicine Since the first experiments performed by Jenner in the late 18 th century with cowpox, many serious infectious diseases have been combated through vaccinations.In 1980 the world could even be declared 'free from smallpox'.Part of this success was explained through a unique feature of vaccination as a technique, the fact that also non-vaccinated individuals are protected since the germ becomes less prevalent in the environment, the so-called ' herd immunity' .Vaccination used to be save, efficient and cheap and the number of infectious diseases for which vaccination became routine has grown in recent years.Consequently, questions about the advisability of the introduction of new vaccinations were seldom asked: if it did the job it needed to be done.Streptococcus pneumoniae (pneumococcus) are bacteria that are often present in the upper airways in children and adults and that do not necessarily lead to disease.They can, however, cause serious diseases such as pneumonia, meningitis or sepsis but more often they will lead to less serious disorders such as ear-or upper respiratory tract infections.But, the less frequent severe infections are potentially lethal and can occasionally lead to serious neurological damage.The incidence of pneumococcal disease is strongly age-dependent and at risk are mainly children up to the age of 5 and adults aged 65 and over.At the moment a pneumococcal vaccine for young children came to the market in Belgium, the question was raised whether this should be included into routine vaccination schedules.The vaccine might be efficient but is also expensive.At this moment the complete vaccination scheme with 4 injections costs over 250 € per child, a cost paid by the parents or partly reimbursed by the sick fund.To evaluate whether universal vaccination of newborns would be appropriate usage of available means, and how this vaccination should be implemented, the KCE was asked to conduct a health technology assessment (HTA).The outcome of this evaluation was uncertain: earlier economic evaluations disagreed, local determinant had to be included as was the effect of ' herd immunity', and to obtain reliable estimates for Belgium using local data was essential.This report is the result of an intensive cooperation of several partners and was conducted under important time constraints.These constraints, however, were not allowed to interfere with quality.Considering the anticipated arrival of several new vaccines in the near future this report might be a trendsetter.We hope this report will help policymakers to use available resources effectively, using a rational health economic approach.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.004
GPT teacher head0.232
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2006
Admission routes1
Has abstractyes

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