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Record W7099437525

Multistate Measles Outbreak Associated with an International Youth Sporting

2012· article· en· W7099437525 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsOutbreakMeaslesDocumentationInfectious disease (medical specialty)GenotypingEpidemiologyPublic healthVaccination
DOInot available

Abstract

fetched live from OpenAlex

Measles, a highly infectious viral illness, is no longer endemic in the United States because of high coverage rates with an effective vaccine (1). However, imported cases continue to cause illness and outbreaks among susceptible U.S. residents (2–5). In August 2007, a participant in an international youth sporting event who traveled from Japan to the United States became ill with measles. Because he traveled while infectious to an event with thousands of participants and spectators, an outbreak investigation was conducted in multiple states by state and local health departments in coordination with CDC, using standard measles surveillance case definitions and classifications.* This report summarizes the results of that investigation, which identified six additional measles cases that were linked epidemiologically to the index case and two generations of secondary transmission. Viral genotyping supported a single chain of transmission; six of the seven cases were linked by genetic sequencing (Figure). U.S. organizers of large-scale events attended by international travelers, especially youths, should consider documentation of adequate participant vaccination. This outbreak highlights the need to maintain the highest possible vaccination coverage in the United States, along with disease surveillance and outbreakcontainment capabilities. A sporting event held in central Pennsylvania during August 17–26, 2007, included eight U.S. teams and eight international teams representing Canada, Chinese Taipei,

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.191
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.260
Teacher spread0.243 · 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 teacher head, 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
Published2012
Admission routes1
Has abstractyes

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