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Record W4387661617 · doi:10.26355/eurrev_202310_33975

Omicron new variant BA.2.86 (Pirola): Epidemiological, biological, and clinical characteristics - a global data-based analysis.

2023· article· en· W4387661617 on OpenAlexaboutno aff
Sultan Ayoub Meo, Anusha Sultan Meo, David C. Klonof

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Observational studyDiseaseInternal medicineInfectious disease (medical specialty)

Abstract

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OBJECTIVE: Since December 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused a threatening situation worldwide. The new variant of SARS-CoV-2, BA.2.86, also known as Pirola, is an Omicron subvariant that causes great concern because it has been found to contain a large number of mutations. This study aims to investigate and identify the biological and clinical characteristics of this threatening new variant of SARS-CoV-2, which is BA.2.86. MATERIALS AND METHODS: This observational study was performed in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia. The literature was searched using the key terms including "SARS-CoV-2, Omicron, BA.2.86, Pirola, epidemiology, clinical characteristics". The data on Omicron BA.2.86 were obtained from the World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), the Global Initiative on Sharing All Influenza Data (GSIAD), PubMed, Web of Science, regional ministries, research institutes, and international print media. Initially, 26 documents were identified and 10 documents were included for the data analysis. The information on the prevalence and the biological characteristics of the new variant of SARS-CoV-2, Omicron BA.2.86, was recorded and synthesized for analysis. RESULTS: The Omicron BA.2.86 has been identified in 23 countries with 264 confirmed cases as of September 28, 2023. The number and distribution of these cases encompass the United Kingdom 66 (25.0%), USA 34 (12.87%), Denmark 31 (11.74%), Sweden 25 (9.46%), South Africa 20 (7.57%), Spain 20 (7.57%), France 15 (5.68%), Portugal 7 (2.65%), Japan 6 (2.27%), Canada 5 (1.89%), Thailand 5 (1.89%), Israel 5 (1.89%), Greece 5 (1.89%), Germany 3 (1.13%), Belgium 3 (1.13%), Luxembourg 3 (1.13%), Netherlands 3 (1.13%), South Korea 3 (1.13%). However, one case in each country has been reported in Australia, Italy, Iceland, Switzerland, and China. The disease has been reported more frequently in females (71.0%) than males (29.0%). To date, no deaths have been reported. The novel variant has spread more swiftly than other variants of SARS-CoV-2 and has crossed many international borders. CONCLUSIONS: The new Omicron variant BA.2.86 has affected 264 people in 23 countries. The disease is more common in females than males and mainly affects old age people (over 60 years of age). However, no deaths have been reported. The variant is spreading swiftly and transmitted more rapidly. The clinical manifestations in patients with Omicron BA.2.86 variant are not well documented and may be similar to earlier strains of COVID-19 by presenting with mild infectious symptoms, including headache, body ache, cough, fever, generalized myalgia, and severe fatigue. The global health authorities must take preventive measures to stop the outbreak of this emerging variant across the globe to minimize the disease burden.

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)0.003
metaresearch head score (Gemma)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0160.023
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.276
GPT teacher head0.433
Teacher spread0.158 · 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

Citations19
Published2023
Admission routes1
Has abstractyes

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