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Record W269341949

[Changing management of pandemic influenza].

2010· article· en· W269341949 on OpenAlexaboutno aff
Keita Morikane

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOutbreakPandemicCase fatality rateQuarantineDiseaseTransmission (telecommunications)EpidemiologyVirologyHuman mortality from H5N1VirusMedicineInfluenza A virus subtype H5N1Incubation periodVeterinary medicineEnvironmental healthCoronavirus disease 2019 (COVID-19)BiologyInfectious disease (medical specialty)IncubationInternal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

In April 2009, for the first time in 41 years, a novel type of influenza A virus acquired the capacity for human-to-human transmission and caused a pandemic. This virus was derived from swine A (H1N1), which was a recombination of avian, human, and several swine influenza viruses, and named the "pandemic (H1N1) 2009 virus". As of mid-November, approximately 500,000 confirmed cases of pandemic (H1N1) 2009 infection had been reported to the World Health Organization. The true worldwide disease burden is yet unknown, but at least 100 times more people than those reported to the WHO have already been infected with this virus. The initial outbreak of this disease occurred in Mexico, and then the United States and Canada. Japan introduced strict quarantine measures including the screening of airline passengers for fever using thermography, which is useless for detecting patients during the incubation period. The result was that the first domestically-infected case was reported to be symptomatic on May 5th, four days prior to the detection of the first "imported cases" on May 9th at Narita Airport. This case was detected with other cases involved in a local outbreak of this disease through the strict policy of laboratory testing, i.e. focusing on cases that had any epidemiological link with known cases or overseas travel, which was implemented by the government. The epidemic seems to be close to its peak in Japan. The nature of the disease is mild, with mostly mild cases especially in younger generations. The case-fatality ratio is about 1:100,000 (0.001%), which is much lower than that of seasonal flu. A vaccination campaign is on the way, although vaccine supply is still very limited. In conclusion, there is still much uncertainty regarding this disease. The flexibility of the policy in response to its nature might have saved us from an initial catastrophe in affected regions, and should be well-reflected for the preparation of the next, unforeseeable pandemic of emerging infectious disease.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0030.004
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0200.008

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.

Opus teacher head0.099
GPT teacher head0.357
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2010
Admission routes1
Has abstractyes

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