MétaCan
Menu
Back to cohort
Record W4205316315 · doi:10.3126/nje.v11i4.41569

Omicron: The pandemic propagator and lockdown instigator – what can be learnt from South Africa and such discoveries in future

2021· article· en· W4205316315 on OpenAlexaboutno aff
Indrajit Banerjee, Jared Robinson, Indraneel Banerjee, Brijesh Sathian

Bibliographic record

VenueNepal Journal of Epidemiology · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)MedicinePandemicGlobeSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyDemographyDiseasePathologyInfectious disease (medical specialty)Sociology

Abstract

fetched live from OpenAlex

The SARS-CoV-2 virus which causes the disease termed COVID-19 ripped through the globe in the latter part of 2019 and has left a state of fear, death and destruction in its wake. The Omicron variant was officially announced by the South African authorities on the 24th of November 2021, with the first confirmed sample of the infection being collected on the 9th of November 2021. The initial cases were flagged as a possible new variant due to the stark differences in the presentation and clinical features of the patients. At the time of Omicron's discovery, the predominant variant circulating within South Africa was the Delta variant B.1.617.2 which typically presented with more severe and distinct symptoms. Omicron spread rapidly within the Southern Africa and abroad, principally South Africa, Botswana, Hongkong and Israel were among the first countries to record cases of the new variant. The first European case of the Omicron variant was confirmed on the 26th of November 2021 in Belgium. Towards the end of November 2021 cases of the new variant had been confirmed and recorded in France, the United Kingdom, Germany, Portugal and Scotland. Additional cases of the Omicron variant have been confirmed in Canada, Australia, India and United States. At this current point in the development of the Omicron upsurge in cases the international community should aim for further vaccinations among their fellow countrymen, but more so vaccine equality should be ensured. Such equality should be ensured in the developing nations as the virus does not respect any boundaries or territories and thus a higher level of vaccination worldwide will confer greater protection to the global community as a whole.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0070.015
Open science0.0020.005
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0150.006

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 head0.068
GPT teacher head0.345
Teacher spread0.278 · 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 designObservational
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

Citations14
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueNepal Journal of EpidemiologySame topicSARS-CoV-2 and COVID-19 ResearchFrench-language works237,207