ArticleNature communications2021
Estimating the strength of selection for new SARS-CoV-2 variants.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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Who cites it
24 citing papers in PubMed.
- Understanding patterns of variant emergence and spread in an ongoing epidemic.medRxiv : the preprint server for health sciences · 2026Article
- Unsupervised detection and fitness estimation of emerging SARS-CoV-2 variants: Application to wastewater samples (ANRS0160).PLoS computational biology · 2025Article
- Early detection of highly transmissible viral variants using phylogenomics.Science advances · 2024Article
- Estimation of SARS-CoV-2 fitness gains from genomic surveillance data without prior lineage classification.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England.PLoS pathogens · 2024Article
- Article
- CovTransformer: A transformer model for SARS-CoV-2 lineage frequency forecasting.Virus evolution · 2024Article
- Phylogenies increase power to detect highly transmissible viral genome variants.medRxiv : the preprint server for health sciences · 2023Article
- Enhancing global preparedness during an ongoing pandemic from partial and noisy data.PNAS nexus · 2023Article
- SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and convalescent immunity.EBioMedicine · 2023Article
- Phylogenetic Changes in SARS-CoV-2 Virus in Bosnian-Herzegovinian Population Over the Period of Two Years.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023Article
- How public health authorities can use pathogen genomics in health protection practice: a consensus-building Delphi study conducted in the United Kingdom.Microbial genomics · 2023Article
- On the Evolutionary Trajectory of SARS-CoV-2: Host Immunity as a Driver of Adaptation in RNA Viruses.Viruses · 2022Review
- Article
- Ongoing Positive Selection Drives the Evolution of SARS-CoV-2 Genomes.Genomics, proteomics & bioinformatics · 2022Article
- Association between viral load and positivization time of a SARS-CoV-2 rapid antigen test in routine nasopharyngeal specimens.Journal of medical biochemistry · 2022Article
- Boosting the detection performance of severe acute respiratory syndrome coronavirus 2 test through a sensitive optical biosensor with new superior antibody.Bioengineering & translational medicine · 2022Article
- Population genetic models for the spatial spread of adaptive variants: A review in light of SARS-CoV-2 evolution.PLoS genetics · 2022Review
- Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron.medRxiv : the preprint server for health sciences · 2022Article
- Delta Variant of SARS-CoV-2 Replacement in Brazil: A National Epidemiologic Surveillance Program.Viruses · 2022Article
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5 authors.
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Abstract
Controlling the SARS-CoV-2 pandemic becomes increasingly challenging as the virus adapts to human hosts through the continual emergence of more transmissible variants. Simply observing that a variant is increasing in frequency is relatively straightforward, but more sophisticated methodology is needed to determine whether a new variant is a global threat and the magnitude of its selective advantage. We present two models for quantifying the strength of selection for new and emerging variants of SARS-CoV-2 relative to the background of contemporaneous variants. These methods range from a detailed model of dynamics within one country to a broad analysis across all countries, and they include alternative explanations such as migration and drift. We find evidence for strong selection favoring the D614G spike mutation and B.1.1.7 (Alpha), weaker selection favoring B.1.351 (Beta), and no advantage of R.1 after it spreads beyond Japan. Cutting back data to earlier time horizons reveals that uncertainty is large very soon after emergence, but that estimates of selection stabilize after several weeks. Our results also show substantial heterogeneity among countries, demonstrating the need for a truly global perspective on the molecular epidemiology of SARS-CoV-2.
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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.