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Record W2388104517

Analysis for H1N1 virus antibody levels in general population in Wuhan area

2013· article· en· W2388104517 on OpenAlexaboutno aff
Huo Xi-xian

Bibliographic record

VenueXiandai yufang yixue · 2013
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
Fundersnot available
KeywordsVaccinationMedicineAntibodyQuarter (Canadian coin)Hemagglutination assayVirusPopulationAntibody responseH1N1 influenzaAge groupsVirologyImmunologyDemographyInternal medicineDiseaseCoronavirus disease 2019 (COVID-19)Environmental healthInfectious disease (medical specialty)
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE To estimate the infection status of H1N1 virus in general population in Wuhan and provide information to predict future epidemics,we investigated H1N1 virus antibody levels in Wuhan during the 4th quarter in 2009 to the 1st quarter in 2010.METHODS We collected 2 106 sera for 4 age groups in 6 consecutive months.Hemagglutination inhibition tests were used to determine the level of antibody for H1N1 virus.RESULTS 2 106 persons were included in this investigation.The total positive rate was 18.14%;17.00% and 19.48% for males and females,respectively.There were significant differences of antibody levels across collecting time periods,age groups and H1N1 vaccine history(P﹤0.05).CONCLUSION The average proportions of antibody for H1N1 virus in general population in Wuhan during the 4th quarter in 2009 to the 1st with quarter in 2010 were above 18%,which is still low.Compared with people do not receive vaccination,people received H1N1 vaccination have significantly increased levels of antibody,which indicates the protective effect of H1N1 vaccine.

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 score0.052
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.085
GPT teacher head0.419
Teacher spread0.334 · 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
Published2013
Admission routes1
Has abstractyes

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