Evidence map›Paper›PMID 38036064›Full record

ArticleVirus research2024

Tracking SARS-CoV-2 variants during the 2023 flu season and beyond in Lebanon.

Ibrahim Al Kodsi, Douaa El Rayes, Jad Koweyes, Charbel Al Khoury, Kelven Rahy, Sergio Thoumi, Marc Chamoun, Hoda Haddad, Jacques Mokhbat, Sima Tokajian

Abstract read
In one paragraph

Article in Virus research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ibrahim Al KodsiDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon.
Douaa El RayesDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon.
Jad KoweyesDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon.
Charbel Al KhouryDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon.
Kelven RahySchool of Medicine, Lebanese American University, Lebanon.
Sergio ThoumiDepartment of Computer Science and Mathematics, School of Arts and Sciences, Lebanese American University, Lebanon.
Marc ChamounLaboratory Department, Serhal Hospital, Lebanon.
Hoda HaddadClinical Microbiology laboratory, Lebanese American University Medical Center Rizk Hospital, Beirut, Lebanon.
Jacques MokhbatClinical Microbiology laboratory, Lebanese American University Medical Center Rizk Hospital, Beirut, Lebanon.
Sima TokajianDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon. Electronic address: stokajian@lau.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly SARS-CoV-2 variant detection relies on testing and genomic surveillance. The Omicron variant (B.1.1.529) has quickly become the dominant type among the previous circulating variants worldwide. Several subvariants have emerged exhibiting greater infectivity and immune evasion. In this study we aimed at studying the prevalence of the Omicron subvariants during the flu season and beyond in Lebanon through genomic screening and at determining the overall standing and trajectory of the pandemic in the country.

methodsA total of 155 SARS-CoV-2 RNA samples were sequenced, using Nanopore sequencing technology.

resultsNanopore sequencing of 155 genomes revealed their distribution over 39 Omicron variants. XBB.1.5 (23.29 %) was the most common, followed by XBB.1.9.1 (10.96 %) and XBB.1.42 (7.5 %). The first batch collected between September and November 2022, included the BA.2.75.2, BA.5.2, BA.5.2.20, BA.5.2.25 and BQ.1.1.5 lineages. Between December 2022 and January 2023, those lineages were replaced by BA.2.75.5, BN.1, BN.1.4, BQ.1, BQ.1.1, BQ.1.1.23, CH.1.1, CM.4 and XBK. Starting February 2023, we observed a gradual emergence and dominance of the recombinant XBB and its sub-lineages (XBB.1, XBB.1.5, XBB.1.5.2, XBB.1.5.3, XBB.1.9, XBB.1.9.1, XBB.1.9.2, XBB.1.16, XBB.1.22 and XBB.1.42).

conclusionsThe timely detection and characterization of SARS-CoV-2 variants is important to reduce transmission through established disease control measures and to avoid introductions into animal populations that could lead to serious public health implications.

Indexed as

COVID-19AnimalsHumansLebanonRNA, ViralSARS-CoV-2SeasonsRNA, ViralOmicronSARS-CoV-2XBBXBB.1.5

Identifiers

PMID38036064
PMCPMC10704499

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.