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Record W2588832102 · doi:10.1093/eurpub/ckv172.093

Non-access to vaccinations for the vulnerable children received by Doctors of the World in Europe

2015· article· en· W2588832102 on OpenAlexaboutno aff
Nathalie Simonnot, Cécile Vuillermoz, Frank Vanbiervliet, M Vicart, Pierre Chauvin

Bibliographic record

VenueEuropean Journal of Public Health · 2015
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsVaccinationMedicineFamily medicinePediatricsEnvironmental healthVirology

Abstract

fetched live from OpenAlex

Background Since 2006, the Doctors of the World - Médecins du Monde (MdM) International Network Observatory has been conducting multicenter surveys in Europe among vulnerable people – the vast majority of whom are immigrants – who make use of its national programs, in order to describe their social and health-related characteristics and the obstacles to access to care, with the goal of informing the public authorities and European institutions and bringing about positive changes. Materials and Methods A cross-sectional analysis of routine data collected from 23,341 patients who availed themselves of the DOW’s services in 26 cities in 11 countries in 2014 (Belgium, Canada, France, Germany Greece, the Netherlands, Spain, Sweden, Switzerland, Turkey and United Kingdom). . Of them, 652 were minors, and, 282 of them in 9 countries were asked about their immunization status. The MdM medical teams considered a minor vaccinated only upon presentation of his/her vaccination record. Results Only 43.3% of the minors seen at the MdM clinics had been vaccinated against tetanus, although 15.0% more had “probably” been vaccinated against it. This rate was even lower for whooping cough (41.0%), hepatitis B (40.0%) and MMR (35.8%). In addition, 40% of the patients had no idea where to go to get vaccinated. Discussion The analysis of the data collected from the children with multiple social vulnerabilities (especially, children of severely disadvantaged immigrants), together with an examination of the current national legislation, shows the extent to which these children’s basic rights are still ignored in our countries. More than half of the children seen in our facilities are not protected against tetanus, whooping cough, MMR or hepatitis (with a risk of being excluded from the school system, where such vaccinations are a mandatory prerequisite). In 5 of the 11 countries, legal obstacles to vaccination are one of the main barriers, and in all the countries, there is a glaring lack of information on access to vaccinations. Key messages More than half of the children seen in our facilities are not protected against tetanus, whooping cough, MMR or hepatitis In 5 of the 11 countries, legal obstacles to vaccination are one of the main barriers, and in all the countries, there is a glaring lack of information on access to vaccinations

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)0.006
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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.158
GPT teacher head0.434
Teacher spread0.276 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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