Impacto da vacina varicela nas taxas de internações relacionadas à varicela: revisão de dados mundiais
Bibliographic record
Abstract
Descrever o impacto da vacina varicela nas taxas de internações hospitalares associadas à varicela nos países que adotaram a vacinação universal contra a doença. Identificaram‐se países que adotaram a vacinação universal contra varicela pelo site http://apps.who.int/immunization_monitoring/globalsummary/schedules da Organização Mundial de Saúde e selecionaram‐se os artigos no Pubmed que descrevem a variação (pré/pós‐vacinal) nas taxas de internações relacionadas à varicela desses países, com auxílio das palavras chaves: “varicella”, “vaccination/vaccine” e “children” (ou) “hospitalization”. Incluíram‐se publicações em inglês entre janeiro de 1995 e maio de 2015. Foram identificados 24 países com vacinação universal contra a varicela e 28 artigos que descrevem o impacto da vacina nas internações associadas à varicela em sete países. Os EUA tiveram 81,4%‐99,2% de redução na taxa de internação em crianças menores de quatro anos, após 6‐14 anos do início da vacinação universal (1995), com cobertura vacinal de 90%; Uruguai: 94% de queda (crianças de 1‐4 anos) em 6 anos, cobertura vacinal de 90%; Canadá: 93% de redução (1‐4 anos) em 10 anos, cobertura de 93%; Alemanha: 62,4% de redução (1‐4 anos) em 8 anos, cobertura de 78,2%; Austrália: queda de 76,8% (1‐4 anos) em 5 anos, cobertura de 90%; Espanha: 83,5% de queda (<5 anos) em 4 anos, cobertura de 77,2%; e Itália: queda entre 69,7%‐73,8% (população geral), cobertura de 60%‐95%. As publicações revelaram variação no percentual de queda na hospitalização por varicela após a vacinação universal nos países pesquisados; os resultados provavelmente dependem do tempo decorrido após introdução da vacinação universal, diferenças na faixa etária estudada, critérios de internação, cobertura vacinal e estratégia de vacina, não permitindo comparação direta entre os dados. to describe the impact of varicella vaccination on varicella‐related hospitalization rates in countries that implemented universal vaccination against the disease. we identified countries that implemented universal vaccination against varicella at the http://apps.who.int/immunization_monitoring/globalsummary/schedules site of the World Health Organization and selected articles in Pubmed describing the changes (pre/post‐vaccination) in the varicella‐related hospitalization rates in these countries, using the Keywords “varicella”, “vaccination/vaccine” and “children” (or) “hospitalization”. Publications in English published between January 1995 and May 2015 were included. 24 countries with universal vaccination against varicella and 28 articles describing the impact of the vaccine on varicella‐associated hospitalizations rates in seven countries were identified. The US had 81.4% ‐99.2% reduction in hospitalization rates in children younger than four years after 6‐14 years after the onset of universal vaccination (1995), with vaccination coverage of 90%; Uruguay: 94% decrease (children aged 1‐4 years) in six years, vaccination coverage of 90%; Canada: 93% decrease (age 1‐4 years) in 10 years, coverage of 93%; Germany: 62.4% decrease (age 1‐4 years) in 8 years, coverage of 78.2%; Australia: 76.8% decrease (age 1‐4 years) in 5 years, coverage of 90%; Spain: 83.5% decrease (age <5 years) in four years, coverage of 77.2% and Italy 69.7% ‐73.8% decrease (general population), coverage of 60%‐95%. The publications showed variations in the percentage of decrease in varicella‐related hospitalization rates after universal vaccination in the assessed countries; the results probably depend on the time since the implementation of universal vaccination, differences in the studied age group, hospital admission criteria, vaccination coverage and strategy, which does not allow direct comparison between data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".