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Record W2111125538 · doi:10.4414/smw.2009.12842

An influenza smiley

2009· article· en· W2111125538 on OpenAlexaboutno aff
Laurent Kaiser

Bibliographic record

VenueSwiss Medical Weekly · 2009
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVirusInfluenza A virus subtype H5N1VirologyBiologyHuman viromeInfluenza A virusPandemicGeneGenomeMedicineGeneticsDiseaseCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)

Abstract

fetched live from OpenAlex

What is this swine H1N1? Pigs are known hosts for all kinds of different influenza viruses, including human and avian varieties. They are often depicted as ideal “mixing vessels” for influenza, where all types of different influenza viruses can mix together with the potential to form new combinations – a reservoir for emerging viruses. The H1N1 genes code for the surface glycoproteins of the virus and are the main target of the immune response. The present virus's H1N1 genes are predominantly porcine in origin, but they also contain pieces related to human and avian influenza viruses and thus represent a previously unknown subtype. Human and porcine H1N1 viruses are close relatives but, thanks to a number of differences distributed along the genome, they can be easily distinguished. These differences cause subtle phenotypical changes resulting in either specific adaptation to swine or humans or, for some, in the potential ability to cross the species barrier. After a time period of unknown duration in swine, the present H1N1 virus has just crossed this barrier, and by so doing, in contrast to the H5N1 avian virus, it has also acquired the ability to be transmitted by respiratory droplets between humans and to establish a human reservoir. A question mark remains: why was this virus not previously identified in surveillance systems in animals? Identification of the initial animal reservoir may only be a question of time: H1N1 has recently been identified in Canadian pigs. However, given the very rapid pace of events, we need more observations and epidemiological data before definite conclusions can be drawn. Fortunately, at the moment, the virulence of the virus seems to be limited and at worst similar to severe seasonal human influenza. Again, this is not certain, and the observed mortality in Mexico is disturbing. The age distribution of hospitalised cases is also peculiar, since the median age seems to be approximately 15 to 20 years. We must also bear in mind that most proven cases in the United States or Europe have been treated by neuraminidase inhibitors, an intervention that may change the course of the disease and prevent complications. At present we have a flood of incomplete information and few evidencebased conclusions. Hints do not equal proof. The pessimists will say “Yes, the mortality is low, but given the virus's capacity to mutate it might well become more virulent”; but the opposite could also easily occur and there are no scientific reasons at present to make assumptions either way. Since the virus was isolated only a few weeks ago, our knowledge of it is still limited. Animal models, in vitro studies etc. are lacking. Two points are not presumptive, however: the first is the fact that the strain is sensitive to neuraminidase inhibitors, the only antiviral agents available against this virus; and the second is that only one mutation can lead to resistance. This has already occurred in the human H1N1 virus, in the absence of strong selective drug pressure. Given the number of oseltamivir pills distributed recently, the rapid emergence of resistant strains will not be surprising (and may indeed even be expected). Another issue is the immune response. It appears that the current H1N1 vaccine affords no protection against this new swine strain, but whether previous H1N1 infection with other natural strains could provide some kind of protection requires investigation. Certainly the present outbreak will complicate the design of new vaccines. In addition to the usual human

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.075
GPT teacher head0.439
Teacher spread0.365 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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