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Record W1970424357 · doi:10.4161/21505594.2014.992662

Epidemiology, ecology and gene pool of influenza A virus in Egypt: Will Egypt be the epicentre of the next influenza pandemic?

2015· review· en· W1970424357 on OpenAlexfundno aff
EM Abdelwhab, Ahmed S. Abdel‐Moneim

Bibliographic record

VenueVirulence · 2015
Typereview
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersUniversity of Saskatchewan
KeywordsInfluenza A virus subtype H5N1ReassortmentPandemicBiologyHuman mortality from H5N1Influenza A virusVirologyTransmission and infection of H5N1Transmission (telecommunications)VirusAvian influenza virusDiseaseInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)Medicine

Abstract

fetched live from OpenAlex

Outside Asia, Egypt is considered to be an influenza H5N1 epicentre and presents a far greater pandemic risk than other countries. The long-term endemicity of H5N1 and the recent emergence of H9N2 in poultry call attention to the need for unravelling the epidemiology, ecology and highly diverse gene pool of influenza A virus (IAV) in Egypt which is the aim of this review. Isolation of a considerable number of IAV subtypes from several avian and mammalian hosts was described. Co-infections of poultry with H5N1 and H9N2 and subclinical infections of pigs and humans with H1N1 and H5N1 may raise the potential for the reassortment of these viruses. Moreover, the adjustment of IAV genomes, particularly H5N1, to optimize their evolution toward efficient transmission in human is progressing in Egypt. Understanding the present situation of influenza viruses in Egypt will help in the control of the disease and can potentially prevent a possible pandemic.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.359
GPT teacher head0.476
Teacher spread0.117 · 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
GenreReview

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

Citations31
Published2015
Admission routes1
Has abstractyes

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