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

Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework.

Nature communications - 6 Nov 2020

Dellicour Simon, Lequime Sebastian, Vrancken Bram, Gill Mandev S, Bastide Paul, Gangavarapu Karthik, Matteson Nathaniel L, Tan Yi, du Plessis Louis, Fisher Alexander A, Nelson Martha I, Gilbert Marius, Suchard Marc A, Andersen Kristian G, Grubaugh Nathan D, Pybus Oliver G, Lemey Philippe

Abstract excerpt

Computational analyses of pathogen genomes are increasingly used to unravel the dispersal history and transmission dynamics of epidemics. Here, we show how to go beyond historical reconstructions and use spatially-explicit phylogeographic and phylodynamic approaches to formally test epidemiological hypotheses. We illustrate our approach by focusing on the West Nile virus (WNV) spread in North America that has...

Read the complete abstract on PubMed

Topics

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

Share to Bird Diseases
Share to Ecosystem

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Environment

Share to Genome, Viral

Share to North America

Share to Phylogeography

Share to West Nile Fever

Share to West Nile virus

Source

Open in PubMed Open full text

Identifiers

PMID: 33159066
DOI: 10.1038/s41467-020-19122-z
PMCID: PMC7648063

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework.PMID 33159066Read ↗

Virus evolution and transmission in an ever more connected world.Semantic proximity Read ↗

West Nile virus spread in Europe: Phylogeographic pattern analysis and key driversSemantic proximity Read ↗

Unifying the spatial epidemiology and molecular evolution of emerging epidemicsSemantic proximity Read ↗

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

How fast are viruses spreading in the wild?Semantic proximity Read ↗

Explaining the geographic spread of emerging epidemics: a framework for comparing viral phylogenies and environmental landscape dataSemantic proximity Read ↗

Fluid Spatial Dynamics of West Nile Virus in the United States: Rapid Spread in a Permissive Host Environment.Semantic proximity Read ↗

Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern BrazilSemantic proximity Read ↗

Genomic epidemiology sheds light on the recent spatio-temporal dynamics of Yellow Fever virus and the spatial corridor that fueled its ongoing emergence in southern BrazilSemantic proximity Read ↗

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

Progress and challenges in virus genomic epidemiologySemantic proximity Read ↗

A Phylodynamic Workflow to Rapidly Gain Insights into the Dispersal History and Dynamics of SARS-CoV-2 Lineages.Semantic proximity Read ↗

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