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Modeling of the Potential Effect of Revaccination against Whooping Cough in Children Aged 6–7 and 14 years within the Framework of the National of preventive vaccinations

2021· article· en· W3212730593 on OpenAlexaff
Н. И. Брико, A. Ya. Mindlina, Irina V. Mikheeva, L. D. Popovich, A.V. Lomonosova

Bibliographic record

VenueEpidemiology and Vaccinal Prevention · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsInstitute of Health Economics
Fundersnot available
KeywordsMedicineEpidemiologyWhooping coughVaccinationPediatricsPopulationEnvironmental healthImmunology

Abstract

fetched live from OpenAlex

Relevance. Currently, the national calendar of preventive vaccinations does not provide for revaccination against whooping cough in children over the age of 18 months. At the same time, the epidemiological and economic feasibility of revaccination against whooping cough in children aged 6–7 years, as well as adolescents, has been demonstrated in world practice. Aim. Based on a mathematical model, develop a forecast of pertussis morbidity dynamics and assess the potential socio-economic damage under the current and expanded vaccine prophylaxis algorithms. Methods. Mathematical modeling of the potential effect of revaccination against whooping cough in children aged 6–7 years (scenario 1) and at 6–7 years and 14 years (scenario 2) was carried out within the framework of the national calendar of preventive vaccinations. A simulation dynamic mathematical model is constructed that allows predicting the development of the epidemiological process of whooping cough on the basis of the dynamics of the main indicators of its prevalence in the population that developed in previous years. The model took into account dynamic changes in the preventive effectiveness of vaccinations and the potential level of underestimation of morbidity. The obtained arrays of indicators served as the basis for extrapolating trends in morbidity and mortality until 2034.The calculation of epidemiological benefits was carried out in the metrics of prevented loss of years of life under the two scenarios under consideration in comparison with the current vaccination algorithm. The calculation of the economic effect was carried out on the basis of the obtained indicators of epidemiological benefits in the metrics of the monetary equivalent of the average cost of a year of life, taking into account the projected inflation coefficients until 2034. Results. The projected decrease in the number of years of life lived in a state of illness, in comparison with the current situation, will total 44.5 thousand years for the period 2019–2034 under scenario 1 and 66.7 thousand years under scenario 2. The socio-economic damage from prevented cases of the disease, expressed in the monetary equivalent of the average cost of living, will decrease by 28.6% (scenario 1) or 42.0% (scenario 2). Conclusions. A comparison of the received public benefits with the costs of vaccination shows that the expansion of the NCPP with additional revaccinations against whooping cough (at 6–7 years or at 6–7 and at 14 years) is advisable both in epidemiological and economic aspects.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.336
Teacher spread0.315 · 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 designSimulation or modeling
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

Citations6
Published2021
Admission routes1
Has abstractyes

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