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Record W7047841750

Immunization schedule in Ukraine: history of implementation and list of vaccines

2024· article· en· W7047841750 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsImmunizationVaccinationMeaslesVaccination scheduleRubellaScheduleChristian ministryPoliomyelitis
DOInot available

Abstract

fetched live from OpenAlex

Introduction. Vaccination is a global health success story that saves millions of lives (WHO). Every year, thanks to it, it is possible to prevent 3.5-5 million deaths from such diseases as diphtheria, tetanus, whooping cough, influenza and measles. The purpose of our study was to conduct a comparative analysis of changes in the Immunization schedule of Ukraine for 1996-2022 and establish a list of registered vaccines in accordance with it. Material & methods. The research materials were the orders of the Ministry of Health of Ukraine and data from the State Register of Medicines of Ukraine. The method of data systematization, generalization and comparative analysis was used. Results & discussion. A study of the history of immunization schedule of Ukrainian for 1996-2022 showed that during this time the scheme of mandatory vaccination against measles did not change, but against tuberculosis, poliomyelitis, diphtheria, whooping cough, tetanus, epidemic parotitis and rubella – changed, mainly with regard to the timing of revaccination. Also, since 2011, vaccination against hepatitis B has been included in the immunization schedule . As of April 2024, 30 vaccines have been registered in Ukraine to ensure the vaccination calendar, the production of which involves 39 manufacturers from different countries, the largest of which are from Belgium and India (8 each, 20.5% each), France (6, 15.4%), Hungary (5, 12.8%) and Indonesia (4, 10.3%). The largest number of vaccines are produced by Sanofy (France, Hungary, Canada) (12 vaccines, 30.8%), GlaxoSmithKline Biologicals S.A., Belgium (8, 20.5%) and Serum Institute of India. Pvt. Ltd., India (7, 17.9%). Most vaccines (10, 33.3%) are intended for vaccination against one of the diseases (hepatitis B, tuberculosis, measles, poliomyelitis 1, 2, 3 types, poliomyelitis 1 and 3 types). Concliusions. Changes in immunization schedule of Ukraine for the period 1996 - 2022 mainly related to vaccination schemes against tuberculosis, poliomyelitis, diphtheria, whooping cough, tetanus, epidemic parotitis and rubella, and since 2011 vaccination against hepatitis B has been introduced as mandatory. The schedule provides for the prevention of 10 infectious diseases, while currently 30 relevant vaccines are registered in Ukraine. Keywords: vaccination, immunization schedule, vaccines

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.032
GPT teacher head0.316
Teacher spread0.284 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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