ReviewNature reviews. Genetics2009
Evolutionary analysis of the dynamics of viral infectious disease.
Review in Nature reviews. Genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 356 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
356 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Defining HIV-1 transmission clusters based on sequence data.AIDS (London, England) · 2017Pooled it
- Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City region.Genome research · 2020Trial
- Size, Composition, and Evolution of HIV DNA Populations during Early Antiretroviral Therapy and Intensification with Maraviroc.Journal of virology · 2018Trial
- Article
- From sites to structure to serology: a roadmap for structure-aware molecular evolution of antigenically evolving viruses.Journal of virology · 2026Review
- Phylogenetic Evidence of Local HIV-1 Transmission and Antiretroviral Drug Resistance in the Middle East and North Africa.Viruses · 2026Article
- CAPHEINE, or Everything and the Kitchen Sink: A Workflow for Automating Selection Analyses Using HyPhy.Genome biology and evolution · 2026Article
- Quantifying the predictability of evolution by analysis of coalescent rate variation.Molecular biology and evolution · 2026Article
- Revisiting Algorithms, Tools, and Applications for Sequence and Phylogenetic Analyses in the NGS-Based Omics Era.Biochemical genetics · 2026Review
- One Health genomic surveillance reveals structured urban rabies transmission and major surveillance gaps.bioRxiv : the preprint server for biology · 2026Article
- Article
- Evolutionary dynamics and molecular adaptation of Rift Valley fever virus across human and non-human outbreaks in Africa.BMC genomics · 2026Article
- Targeting Zoonotic Spillover Drivers for Global Pandemic Prevention: A Narrative Review.Microorganisms · 2026Review
- PRIME: An evaluation framework for protein representation inference and generalization in viral mutation space.BMC genomics · 2026Article
- Utilizing virus genomic surveillance to predict vaccine effectiveness.PLoS computational biology · 2026Article
- CAPHEINE, or everything and the kitchen sink: a workflow for automating selection analyses using HyPhy.bioRxiv : the preprint server for biology · 2026Article
- Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Fast hospital discharge rates blur within-hospital 'transmission footprint' in bacterial genomes, as showcased with Staphylococcus aureus.PLoS computational biology · 2026Article
- Geographic and cross-species transmission of Mamastroviruses from multiple hosts.Animal microbiome · 2026Article
- SIMPLICITY is an agent-based, multi-scale mathematical model to study SARS-CoV-2 intra- and between-host evolution.Communications biology · 2026Article
296 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many organisms that cause infectious diseases, particularly RNA viruses, mutate so rapidly that their evolutionary and ecological behaviours are inextricably linked. Consequently, aspects of the transmission and epidemiology of these pathogens are imprinted on the genetic diversity of their genomes. Large-scale empirical analyses of the evolutionary dynamics of important pathogens are now feasible owing to the increasing availability of pathogen sequence data and the development of new computational and statistical methods of analysis. In this Review, we outline the questions that can be answered using viral evolutionary analysis across a wide range of biological scales.
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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.