MétaCan
Menu
Back to cohort
Record W2367994448

Epidemiological Survey of an A/H1N1 Influenza Accumulative Occurrence on Aircraft

2010· article· en· W2367994448 on OpenAlexaboutno aff
Zheng Neng-xiong

Bibliographic record

VenuePractical Preventive Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyOutbreakTransmission (telecommunications)Environmental healthMedicineVirologyComputer sciencePathology
DOInot available

Abstract

fetched live from OpenAlex

Objective To approach the reason and potential route of transmission by analyzing the epidemiological characteristic of A/H1N1 influenza outbreaks in the aircraft,and to provide the reference for prevention and control of A/H1N1 influenza.Methods Face-to-face investigation and field investigation were used to describe the whole process and epidemiological features.The correlation factors were investigated by using case-control study.Results There were 8 final diagnosis cases of A/H1N1 influenza reported in this occurrence.The invasive time of the first case was May 27th,2009,while the time distribution of the other cases was centered from May 30th to June 1st.Using mouth-muffle had statistical significance during the trip from Vancouver to Hongkong,so as using toilet numbered 7 whose OR was 4.8(95% CI:0.5~56).Conclusions The epidemiological curve showed the point-source character in this outbreak.The possible origin came from Liner CX889,and the possible conveying place was the toilet at the end of the aircraft where the first case had vomited.The normalization and accuracy of sampling,the conservation and transportation of sample,and the laboratory detection quality control of viral nucleic acid in laboratory detection were the criticality of case discovery and secondary case occurrence prevention.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.371
GPT teacher head0.551
Teacher spread0.180 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuePractical Preventive MedicineSame topicInfluenza Virus Research StudiesFrench-language works237,207