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Record W2968769800 · doi:10.1183/13993003.01325-2019

When “B” becomes “A”: the emerging threat of influenza B virus

2019· letter· en· W2968769800 on OpenAlexaboutno aff
Lokesh Sharma, André Rebaza, Charles S. Dela Cruz

Bibliographic record

VenueEuropean Respiratory Journal · 2019
Typeletter
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVirologyVirusIntensive care medicine

Abstract

fetched live from OpenAlex

Influenza virus (flu) caused the worst disease mediated devastation in recorded human history in 1918, when global death was estimated to be between 50 and 100 million people [1]. Flu continues to kill more people every year with no apparent decrease in its pathogenicity despite advancement in our understanding of the disease and with the availability of vaccines and antiviral agents. Last year, the death toll of influenza was estimated to be 80 000 in the USA alone, making it the most lethal infectious disease [2]. One apparent change that occurred in the influenza virus is the emergence of influenza B strain as a significant contributor to the annual disease over the years. The origin of influenza B is unclear but was first isolated around 1940 and later separated into two clear lineages by 1983, the Yamagata-like and Victoria-like strains [3]. The scientific and healthcare community has been underplaying this important event and influenza B has been labelled as the “B” team compared to influenza A. Influenza B is believed to be a milder virus compared to some strains of influenza A, such as H3N2, but more potent than the influenza A strains like H1N1 [4]. In fact, multiple studies have suggested increased potency of influenza B virus in causing severe disease and mortality. Influenza B is the most prominent circulating strain of influenza every four to five years. Furthermore, influenza B infections carried higher risks of hospitalisations compared to influenza A infections in HIV patients [5]. Similarly, influenza B has been described to have significantly higher mortality rates compared to influenza A strains. For example, during the flu season in 2010–2011, influenza B was responsible for 38% of deaths in the paediatric population. National Respiratory and Enteric Virus Surveillance System collaborating laboratories indicated that only 26% of circulating strains of flu were influenza B viruses during this period [6]. Similarly, a Canadian study from 2004 to 2013 found significantly higher mortality rates due to influenza B compared to influenza A in children younger than 16 years of age [7]. These data strongly refute the claims that influenza B is the milder version of the flu. In this issue of the European Respiratory Journal , the study by Bui et al. [8] sheds light on influenza B interactions within the human respiratory tract and lung to demonstrate its pathogenicity and its potential to spread and cause severe lung infections. Influenza B virus can be as virulent as influenza A

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)0.001
metaresearch head score (Gemma)0.003
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.005

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 head0.136
GPT teacher head0.371
Teacher spread0.235 · 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

Citations30
Published2019
Admission routes1
Has abstractyes

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