ReviewInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2011
Phylogenetic and epidemic modeling of rapidly evolving infectious diseases.
Review in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of early modelling studies of Ebola virus disease in West Africa.Epidemiology and infection · 2017Pooled it
- Fast hospital discharge rates blur within-hospital 'transmission footprint' in bacterial genomes, as showcased with Staphylococcus aureus.PLoS computational biology · 2026Article
- Phylogenetic insights into the transmission dynamics of arthropod-borne viruses.Nature reviews. Genetics · 2026Review
- Comparative performance of viral landscape phylogeography approaches.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model.PLoS computational biology · 2025Article
- How does date-rounding affect phylodynamic inference for public health?PLoS computational biology · 2025Article
- Interrogating Genomes and Geography to Unravel Multiyear Vesicular Stomatitis Epizootics.Viruses · 2024Article
- Population genomics of diarrheagenic Escherichia coli uncovers high connectivity between urban and rural communities in Ecuador.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023Article
- Inferring Human Immunodeficiency Virus 1 Proviral Integration Dates With Bayesian Inference.Molecular biology and evolution · 2023Article
- Global dissemination of influenza A virus is driven by wild bird migration through arctic and subarctic zones.Molecular ecology · 2023Article
- Reconstructing relative transmission rates in Bayesian phylodynamics: Two-fold transmission advantage of Omicron in Berlin, Germany during December 2021.Virus evolution · 2023Article
- Article
- Women in the European Virus Bioinformatics Center.Viruses · 2022Article
- African mitochondrial haplogroup L7: a 100,000-year-old maternal human lineage discovered through reassessment and new sequencing.Scientific reports · 2022Article
- Epidemiological inference from pathogen genomes: A review of phylodynamic models and applications.Virus evolution · 2022Review
- Accounting for spatial sampling patterns in Bayesian phylogeography.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Rapid incidence estimation from SARS-CoV-2 genomes reveals decreased case detection in Europe during summer 2020.Nature communications · 2021Article
- Article
- Retrieval and Investigation of Data on SARS-CoV-2 and COVID-19 Using Bioinformatics Approach.Advances in experimental medicine and biology · 2021Article
- Phylodynamic analysis and evaluation of the balance between anthropic and environmental factors affecting IBV spreading among Italian poultry farms.Scientific reports · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidemic modeling of infectious diseases has a long history in both theoretical and empirical research. However the recent explosion of genetic data has revealed the rapid rate of evolution that many populations of infectious agents undergo and has underscored the need to consider both evolutionary and ecological processes on the same time scale. Mathematical epidemiology has applied dynamical models to study infectious epidemics, but these models have tended not to exploit--or take into account--evolutionary changes and their effect on the ecological processes and population dynamics of the infectious agent. On the other hand, statistical phylogenetics has increasingly been applied to the study of infectious agents. This approach is based on phylogenetics, molecular clocks, genealogy-based population genetics and phylogeography. Bayesian Markov chain Monte Carlo and related computational tools have been the primary source of advances in these statistical phylogenetic approaches. Recently the first tentative steps have been taken to reconcile these two theoretical approaches. We survey the Bayesian phylogenetic approach to epidemic modeling of infection diseases and describe the contrasts it provides to mathematical epidemiology as well as emphasize the significance of the future unification of these two fields.
Indexed as
Identifiers
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.