Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Eight challenges in phylodynamic inference.

Epidemics - 1 Mar 2015

Frost Simon D W, Pybus Oliver G, Gog Julia R, Viboud Cecile, Bonhoeffer Sebastian, Bedford Trevor

Abstract excerpt

The field of phylodynamics, which attempts to enhance our understanding of infectious disease dynamics using pathogen phylogenies, has made great strides in the past decade. Basic epidemiological and evolutionary models are now well characterized with inferential frameworks in place. However, significant challenges remain in extending phylodynamic inference to more complex systems. These challenges include...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biological Evolution
Share to Communicable Diseases
Share to Host-Pathogen Interactions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Statistical

Share to Population Dynamics

Share to Recombination, Genetic

Share to Selection, Genetic

Share to Stochastic Processes

Source

Open in PubMed Open full text

Identifiers

PMID: 25843391
DOI: 10.1016/j.epidem.2014.09.001
PMCID: PMC4383806

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Eight challenges in phylodynamic inference.PMID 25843391Read ↗

Epidemiological inference from pathogen genomes: A review of phylodynamic models and applicationsSemantic proximity Read ↗

Phylodynamic applications in 21st century global infectious disease researchSemantic proximity Read ↗

Biological causes and impacts of rugged tree landscapes in phylodynamic inferenceSemantic proximity Read ↗

Biological causes and impacts of rugged tree landscapes in phylodynamic inference.Semantic proximity Read ↗

Fundamental identifiability limits in molecular epidemiologySemantic proximity Read ↗

Fundamental Identifiability Limits in Molecular EpidemiologySemantic proximity Read ↗

Relating phylogenetic trees to transmission trees of infectious disease outbreaks.Semantic proximity Read ↗

Getting to the root of epidemic spread with phylodynamic analysis of genomic dataSemantic proximity Read ↗

Viral PhylodynamicsSemantic proximity Read ↗

Inference of infectious disease transmission using multiple genomes per hostSemantic proximity Read ↗

Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework.Semantic proximity Read ↗

Unifying the epidemiological and evolutionary dynamics of pathogens.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.