ReviewTrends in genetics : TIG2021
Superspreading in the emergence of COVID-19 variants.
Review in Trends in genetics : TIG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Headache following vaccination against COVID-19 among healthcare workers with a history of COVID-19 infection: a cross-sectional study in Iran with a meta-analytic review of the literature.Head & face medicine · 2023Pooled it
- Inference of Multiple Mergers while Dating a Pathogen Phylogeny.Systematic biology · 2025Article
- Inferring pathogen superspreading potential using early spatial spread patterns.medRxiv : the preprint server for health sciences · 2025Article
- Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data.Nature communications · 2025Article
- Estimating Re and overdispersion in secondary cases from the size of identical sequence clusters of SARS-CoV-2.PLoS computational biology · 2025Article
- Article
- Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies.Epidemics · 2023Article
- Unraveling the dynamics of the Omicron and Delta variants of the 2019 coronavirus in the presence of vaccination, mask usage, and antiviral treatment.Applied mathematical modelling · 2023Article
- Article
- Spatial risk for a superspreading environment: Insights from six urban facilities in six global cities across four continents.Frontiers in public health · 2023Article
- Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies.medRxiv : the preprint server for health sciences · 2022Article
- Differential peripheral blood mononuclear cell reactivity against SARS-CoV-2 proteins in naïve and previously infected subjects following COVID-19 vaccination.Clinical immunology communications · 2022Article
- Immunogenic properties of SARS-CoV-2 inactivated by ultraviolet light.Archives of virology · 2022Article
- A Timeframe for SARS-CoV-2 Genomes: A Proof of Concept for Postmortem Interval Estimations.International journal of molecular sciences · 2022Article
- Population genetic models for the spatial spread of adaptive variants: A review in light of SARS-CoV-2 evolution.PLoS genetics · 2022Review
- The stochastic world of emerging viruses.PNAS nexus · 2022Article
- A multi-tissue study of immune gene expression profiling highlights the key role of the nasal epithelium in COVID-19 severity.Environmental research · 2022Article
- Evaluation of BNT162b2 Vaccine Effectiveness in Galicia, Northwest Spain.International journal of environmental research and public health · 2022Article
- Different decay of antibody response and VOC sensitivity in naïve and previously infected subjects at 15 weeks following vaccination with BNT162b2.Journal of translational medicine · 2022Article
- Assessment of Dietary and Lifestyle Responses After COVID-19 Vaccine Availability in Selected Arab Countries.Frontiers in nutrition · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Superspreading and variants of concern (VOC) of the human pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are the main catalyzers of the coronavirus disease 2019 (COVID-19) pandemic. However, measuring their individual impact is challenging. By examining the largest database of SARS-CoV-2 genomes The Global Initiative on Sharing Avian Influenza Data [GISAID; n >1.2 million high-quality (HQ) sequences], we present evidence suggesting that superspreading has had a key role in the epidemiological predominance of VOC. There are clear signatures in the database compatible with large superspreading events (SSEs) coinciding chronologically with the worst epidemiological scenarios triggered by VOC. The data suggest that, without the randomness effect of the genetic drift facilitated by superspreading, new VOC of SARS-CoV-2 would have had more limited chance of success.
Indexed as
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What OpenQuestion holds
Registered trials
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.