Evidence map›Paper›PMID 40575635›Full record

ArticleWorld journal of virology2025

Genomic and demographic characterization of SARS-CoV-2 infections within early Omicron cluster, Western Sri Lanka.

Nipuni Arachchige, Ramesha Dharmasiri, Achini Weerathunga, Shehan Senanayake, Nadeeka Janage, Rohitha Muthugala

Abstract read
In one paragraph

Article in World journal of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Nipuni ArachchigeDepartment of Molecular Biology, Medical Research Institute, Colombo 00800, Western, Sri Lanka.
Ramesha DharmasiriDepartment of Molecular Biology, Medical Research Institute, Colombo 00800, Western, Sri Lanka.
Achini WeerathungaDepartment of Molecular Biology, Medical Research Institute, Colombo 00800, Western, Sri Lanka.
Shehan SenanayakeDepartment of Molecular Biology, Medical Research Institute, Colombo 00800, Western, Sri Lanka.
Nadeeka JanageDepartment of Molecular Biology, Medical Research Institute, Colombo 00800, Western, Sri Lanka.
Rohitha MuthugalaDepartment of Molecular Biology, Medical Research Institute, Colombo 00800, Western, Sri Lanka. rohithavm@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of the Omicron variant (B.1.1.529) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) raised global concerns with its highly transmissible nature.

aimTo investigate the genomic, clinical, and demographic characteristics of Omicron infections within the early outbreak cluster in western part of Sri Lanka.

methodsWe analyzed sequence data from January 2022 to April 2022 to understand variant dynamics, clinical presentation, and demographic associations.

resultsWhole-genome sequencing of 85 nasopharyngeal and throat swab samples collected in western part of Sri Lanka between January and April 2022 identified 70 (82.34%) of it as Omicron variants. BA.2 was the most prevalent sub-lineage (57%), followed by BA.1.1 (14.20%) and majority of them were from > 12 years old individuals. Phylogenetic analysis revealed clustering into four distinct clades (21I, 21K, 21L, and 21M), suggesting potential differences in transmission chains or evolutionary pressures.

conclusionThis study found BA.2 to be the predominant Omicron sub-lineage in the western part of Sri Lanka during the first quarter of 2022, aligning with global trends. Phylogenetic analysis revealed diverse introductions and local transmission. Continued genomic surveillance and robust public health measures remain crucial for managing the evolving SARS-CoV-2 landscape.

Indexed as

COVID-19Genomic characterizationOmicron variantSARS-CoV-2Western Sri Lanka

Identifiers

PMID40575635
PMCPMC12188914

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