Evidence map›Paper›PMID 38204428›Full record

ArticleOsong public health and research perspectives2023

Genetic diversity and evolutionary patterns of SARS-CoV-2 among the Bhutanese population during the pandemic.

Tshering Dorji, Kunzang Dorji, Tandin Wangchuk, Tshering Pelki, Sonam Gyeltshen

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

5 authors.

Tshering DorjiRoyal Centre for Disease Control, Ministry of Health, Royal Government of Bhutan, Thimphu, Bhutan.
Kunzang DorjiRoyal Centre for Disease Control, Ministry of Health, Royal Government of Bhutan, Thimphu, Bhutan.
Tandin WangchukRoyal Centre for Disease Control, Ministry of Health, Royal Government of Bhutan, Thimphu, Bhutan.
Tshering PelkiRoyal Centre for Disease Control, Ministry of Health, Royal Government of Bhutan, Thimphu, Bhutan.
Sonam GyeltshenRoyal Centre for Disease Control, Ministry of Health, Royal Government of Bhutan, Thimphu, Bhutan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic, caused by a dynamic virus, has had a profound global impact. Despite declining global COVID-19 cases and mortality rates, the emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants remains a major concern. This study provides a comprehensive analysis of the genomic sequences of SARS-CoV-2 within the Bhutanese population during the pandemic. The primary aim was to elucidate the molecular epidemiology and evolutionary patterns of SARS-CoV-2 in Bhutan, with a particular focus on genetic variations and lineage dynamics.

methodsWhole-genome sequences of SARS-CoV-2 collected from Bhutan between May 2020 and February 2023 (n=135) were retrieved from the Global Initiative on Sharing All Influenza Database.

resultsThe SARS-CoV-2 variants in Bhutan were predominantly classified within the Nextstrain clade 20A (31.1%), followed by clade 21L (20%) and clade 22D (15.6%). We identified 26 Pangolin lineages with variations in their spatial and temporal distribution. Bayesian time-scaled phylogenetic analysis estimated the time to the most recent common ancestor as February 15, 2020, with a substitution rate of 0.97×10-3 substitutions per site per year. Notably, the spike glycoprotein displayed the highest mutation frequency among major viral proteins, with 116 distinct mutations, including D614G. The Bhutanese isolates also featured mutations such as E484K, K417N, and S477N in the spike protein, which have implications for altered viral properties.

conclusionThis is the first study to describe the genetic diversity of SARS-CoV-2 circulating in Bhutan during the pandemic, and this data can inform public health policies and strategies for preventing future outbreaks in Bhutan.

Indexed as

Coronavirus spike glycoproteinMolecular epidemiologyMutationSARS-CoV-2

Identifiers

PMID38204428
PMCPMC10788421

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.