Evidence map›Paper›PMID 39772182›Full record

ArticleViruses2024

Comparative Evolutionary Epidemiology of SARS-CoV-2 Delta and Omicron Variants in Kuwait.

Moh A Alkhamis, Abrar Hussain, Fayez Al-Therban

Abstract readComparative Study
In one paragraph

Article in Viruses, 2024. 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

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

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

3 authors.

Moh A AlkhamisDepartment of Epidemiology and Biostatistics, College of Public Health, Health Sciences Centre, Kuwait University, P.O. Box 24923, Kuwait City 13110, Kuwait.ORCID 0000-0001-6451-5247
Abrar HussainDepartment of Epidemiology and Biostatistics, College of Public Health, Health Sciences Centre, Kuwait University, P.O. Box 24923, Kuwait City 13110, Kuwait.
Fayez Al-TherbanDepartment of Public Health, Ministry of Health, P.O. Box 24923, Kuwait City 13110, Kuwait.

Funding

Kuwait University Research Sector BE01/23
6 · The paper itself

Abstract

Continuous surveillance is critical for early intervention against emerging novel SARS-CoV-2 variants. Therefore, we investigated and compared the variant-specific evolutionary epidemiology of all the Delta and Omicron sequences collected between 2021 and 2023 in Kuwait. We used Bayesian phylodynamic models to reconstruct, trace, and compare the two variants' demographics, phylogeographic, and host characteristics in shaping their evolutionary epidemiology. The Omicron had a higher evolutionary rate than the Delta. Both variants underwent periods of sequential growth and decline in their effective population sizes, likely linked to intervention measures and environmental and host characteristics. We found that the Delta strains were frequently introduced into Kuwait from East Asian countries between late 2020 and early 2021, while those of the Omicron strains were most likely from Africa and North America between late 2021 and early 2022. For both variants, our analyses revealed significant transmission routes from patients aged between 20 and 50 years on one side and other age groups, refuting the notion that children are superspreaders for the disease. In contrast, we found that sex has no significant role in the evolutionary history of both variants. We uncovered deeper variant-specific epidemiological insights using phylodynamic models and highlighted the need to integrate such models into current and future genomic surveillance programs.

Indexed as

Bayes TheoremCOVID-19Evolution, MolecularPhylogenySARS-CoV-2AdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantKuwaitMaleMiddle Agedancestral state reconstructionB.1.1.529B.1.617.2Kuwaitphylodynamic modelsphylogeographySARS-CoV-2

Identifiers

PMID39772182
PMCPMC11680180

What OpenQuestion holds

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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.