ArticleProceedings of the National Academy of Sciences of the United States of America2022
Selective sweeps in SARS-CoV-2 variant competition.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Antibody escape drives emergence of diverse spike haplotypes resembling variants of concern in persistent SARS-CoV-2 infections.Cell reports. Medicine · 2026Article
- Global solidarity in genomic surveillance improves early detection of acute respiratory virus threats.Nature communications · 2026Article
- Long-read reconstruction of many diverse haplotypes with devider.Genome research · 2025Article
- Models for SARS-CoV-2 health policies: social distancing amid vaccination and virus variants.Royal Society open science · 2025Article
- Article
- Differential responses of SARS-CoV-2 variants to environmental drivers during their selective sweeps.Scientific reports · 2024Article
- PARNAS: Objectively Selecting the Most Representative Taxa on a Phylogeny.Systematic biology · 2023Article
- The coming Omicron waves and factors affecting its spread after China reopening borders.BMC medical informatics and decision making · 2023Article
- Making waves: Integrating wastewater surveillance with dynamic modeling to track and predict viral outbreaks.Water research · 2023Article
- The emergence of a virus variant: dynamics of a competition model with cross-immunity time-delay validated by wastewater surveillance data for COVID-19.Journal of mathematical biology · 2023Article
- Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main mathematical result in this paper is that change of variables in the ordinary differential equation (ODE) for the competition of two infections in a Susceptible-Infected-Removed (SIR) model shows that the fraction of cases due to the new variant satisfies the logistic differential equation, which models selective sweeps. Fitting the logistic to data from the Global Initiative on Sharing All Influenza Data (GISAID) shows that this correctly predicts the rapid turnover from one dominant variant to another. In addition, our fitting gives sensible estimates of the increase in infectivity. These arguments are applicable to any epidemic modeled by SIR equations.
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