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Record W2155900263 · doi:10.2427/5781

The influenza pandemic and Europe: the social impact and public health response

2009· article· en· W2155900263 on OpenAlexaboutno aff
John Paget

Bibliographic record

VenueItalian Journal of Public Health · 2009
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicPublic healthMedicineCoronavirus disease 2019 (COVID-19)VirologyEnvironmental healthInternal medicineDiseaseNursingInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Influenza is unpredictable. It is a virus thatspreads globally and each season viruses emergewith different virological, clinical and epidemiological characteristics. Usually influenza affects 5-20% [1] of the population but sometimes a pandemic virus emerges which spreads on a worldwide scale and infects a larger proportion of the human population.On 11 June 2009 WHO announced that the world was confronted with a pandemic virus – pandemic (H1N1) 2009 virus. This virus was first detected in two children in the United States in March 2009 but had its epidemiological origins in Mexico City in January-March 2009 [2]. The virusquickly spread to the US and Canada, and then further afield. In the European Union and EEA countries, there are currently 9453 cases and four deaths and globally there are now over 79,000 cases and 332 deaths (3 July 2009) [3].

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)0.021
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.252
GPT teacher head0.501
Teacher spread0.250 · 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.

Study designOther design
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

Citations15
Published2009
Admission routes1
Has abstractyes

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