ArticleVirology journal2023
A comparison of transmissibility of SARS-CoV-2 variants of concern.
Article in Virology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Masks and respirators for prevention of respiratory infections: a state of the science review.Clinical microbiology reviews · 2024Pooled it
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- PyEvoMotion: a Python tool for population-based time-course analysis of genome evolution.Bioinformatics (Oxford, England) · 2026Article
- Cycle Threshold (Ct) Value Trends in COVID-19: Analyzing Gender, Age, and Severity Factors Across Major Waves in India.Immunity, inflammation and disease · 2026Article
- Real-time spatiotemporal tracking of infectious outbreaks in confined environments with a host-pathogen agent-based system.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
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- Differential response of human plasmacytoid pre-dendritic cells to SARS-CoV-2 variants.iScience · 2025Article
- Epidemiological features and risk factors of SARS-CoV-2 reinfection: a retrospective cohort analysis in Xiamen, China.Journal of thoracic disease · 2025Article
- Beyond the Pandemic Era: Recent Advances and Efficacy of SARS-CoV-2 Vaccines Against Emerging Variants of Concern.Vaccines · 2025Review
- SARS-CoV-2: The Interplay Between Evolution and Host Immunity.Annual review of immunology · 2025Review
- Glycosylated Receptor-Binding-Domain-Targeting Mucosal Vaccines Protect Against SARS-CoV-2 Omicron and MERS-CoV.Vaccines · 2025Article
- Effect of individual preventive practices on COVID-19 infection: an analysis of big data collected at PCR testing centers in Hiroshima, Japan.BMC public health · 2025Article
- Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern.PLoS computational biology · 2025Article
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- Article
- Post-vaccination SARS-CoV-2 infections among healthcare workers in a tertiary hospital in Ghana.PloS one · 2025Article
- Article
- Optimal COVID-19 vaccine prioritization by age depends critically on inter-group contacts and vaccination rates.Royal Society open science · 2024Article
- Design of the conserved epitope peptide of SARS-CoV-2 spike protein as the broad-spectrum COVID-19 vaccine.Applied microbiology and biotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe World Health Organization (WHO) has currently detected five Variants of Concern of SARS-CoV-2 having the WHO labels of 'Alpha', 'Beta', 'Gamma', 'Delta' and 'Omicron'. We aimed to assess and compare the transmissibility of the five VOCs in terms of basic reproduction number, time-varying reproduction number and growth rate.
methodsPublicly available data on the number of analyzed sequences over two-week windows for each country were extracted from covariants.org and GISAID initiative database. The ten countries which reported the highest number of analyzed sequences for each of the five variants were included in the final dataset and was analyzed using R language. The epidemic curves for each variant were estimated utilizing the two-weekly discretized incidence data using local regression (LOESS) models. The basic reproduction number was estimated with the exponential growth rate method. The time-varying reproduction number was calculated for the estimated epidemic curves by the ratio of the number of new infections generated at time step t to the total infectiousness of infected individuals at time t, using the EpiEstim package.
resultsThe highest R0 for the variants Alpha (1.22), Beta (1.19), Gamma (1.21), Delta (1.38) and Omicron (1.90) were reported from Japan, Belgium, the United States, France and South Africa, respectively. Nine out of ten epidemic curves with the highest estimated growth rates and reproduction numbers were due to the Omicron variant indicating the highest transmissibility.
conclusionsThe transmissibility was highest in the Omicron variant followed by Delta, Alpha, Gamma and Beta respectively.
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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.