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Record W4380149578 · doi:10.56083/rcv3n6-022

POLIOMIELITE CONTEXTO HISTÓRICO E EVOLUTIVO DA VACINAÇÃO NO BRASIL

2023· article· pt· W4380149578 on OpenAlexaff
Amanda Stephanie Siqueira De Sousa, Jéssica Alves Gouveia Eustorgio, Rúbia Alves De Moura, Euni de Oliveira Cavalcanti

Bibliographic record

VenueRevista Contemporânea · 2023
Typearticle
Languagept
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Introdução: A poliomielite, uma doença imunoprevenível, está incluída no calendário vacinal nacional onde são vacinadas de acordo com a rotina vacinal que acontece em 5 doses, sendo 3 da VIP e 2 da VOP, pois é a única forma de prevenir o poliovírus, que é capaz de gerar sintomas graves como PFA e até mesmo a morte em crianças e em adultos. Objetivo geral: Traçar o contexto histórico e evolutivo da vacinação da poliomielite no Brasil. Método: Revisão narrativa, construído por meio de artigos, boletim DataSUS e SI-PNI, registros do SINAN e manuais encontrados nos sites de instituições governamentais para interpretação de análises críticas pessoais ou do autor. Resultado/discussão: Linha temporal do contexto histórico e evolutivo da vacinação da poliomielite entre os anos de 1917 a 2022 e a importância da enfermagem durante o processo. Conclusão: Diante do exposto, é possível reforçar que a vacinação é de suma importância para controle e erradicação de doenças imunopreviníveis, propiciando saúde para toda a população brasileira. Com o auxílio da enfermagem, esses feitos foram possíveis graças à habilidade de gerenciar, planejar, investigar e orientar a população sobre a importância da adesão à vacinação.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.036

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 head0.110
GPT teacher head0.398
Teacher spread0.289 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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