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Enregistrement W6949175070 · doi:10.5281/zenodo.13819995

Calendar of preventive vaccinations in Ukraine: history of implementation and list of vaccines

2024· article· en· W6949175070 sur OpenAlexaboutno aff

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Langueen
DomaineMaterials Science
ThématiquePhytochemistry and Bioactive Compounds
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVaccinationChristian ministryPopulationGovernment (linguistics)Order (exchange)

Résumé

récupéré en direct d'OpenAlex

Introduction. The World Health Organization notes that vaccination is a global health success story that saves millions of lives. Every year, thanks to it, it is possible to prevent 2.5-5 million deaths from such diseases as diphtheria, tetanus, whooping cough, influenza and measles. That is why this procedure is one of the best investments in human health. Material & methods. The research materials were the orders of the Ministry of Health (MoH) of Ukraine and data from the State Register of Medicines of Ukraine. Data systematization (a cognitive process of organizing a set of information), comparative analysis (identification of differences and finding commonalities in them) and generalization (definition of a general concept that reflects the main) were used among the research methods. Results & discussion. In Ukraine, the calendar of preventive vaccinations was approved by the Order of the MoH of Ukraine No. 14 dated January 25, 1996 (expired) in accordance with Articles 27, 30, 33 of the Law of Ukraine "On Ensuring the Sanitary and Epidemic Welfare of the Population", Regulations on the MoH of Ukraine, the National Program of Immunoprophylaxis among population for 1993-2000. This order was valid until November 15, 2000. As of now, the order of the MoH No. 595 dated September 16, 2011, which was last amended on June 21, 2022, is in force. The study of the history of the introduction of the national calendar of preventive vaccinations in accordance with the above mentioned orders of the MoH of Ukraine from 1996 to the present showed that during this time the vaccination scheme against measles has not changed, while against tuberculosis, poliomyelitis, diphtheria, whooping cough, tetanus, epidemic parotitis and rubella – have changed, mainly regarding the timing of revaccinations. Also, since 2011, vaccination against hepatitis B has been included in the calendar of preventive vaccinations, which was previously applied only to persons from risk groups (drug addicts, patients with venereal diseases, etc.). As for ensuring the calendar of preventive vaccinations with vaccines, 30 such medicines are currently registered (as of April 2024), in the production of which 39 manufacturers from different countries are involved, the most 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 most vaccines are of such manufacturing companies as 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%). As for the number of vaccine components, the largest number (10 vaccines, 33.3%) is intended for vaccination against one of the diseases (hepatitis B, tuberculosis, measles, poliomyelitis of types 1, 2, 3, poliomyelitis of types 1 and 3), and in general, all researched vaccines are designed to prevent from one to six infectious diseases. Conclusion. The calendar of preventive vaccination in Ukraine was implemented by order of the Ministry of Health of Ukraine in 1996. Changes in the calendar during its existence mainly concerned vaccination schemes against tuberculosis, poliomyelitis, diphtheria, whooping cough, tetanus, epidemic parotitis and rubella, and since 2011 hepatitis B vaccination was introduced as mandatory. The calendar of preventive vaccinations provides for the prevention of 10 infectious diseases, for this there are appropriate vaccines in Ukraine – 30 medicines (vaccines to prevent from one to six diseases), in the production of which 39 manufacturing companies from 11 countries are involved.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,211
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,175
Tête enseignante GPT0,552
Écart entre enseignants0,377 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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