Getting to the root of epidemic spread with phylodynamic analysis of genomic data

Getting to the root of epidemic spread with phylodynamic analysis of genomic data

When epidemiological and evolutionary dynamics occur on similar timescales, pathogen genomes sampled from infected hosts carry a signature of the dynamics of epidemic spread. Phylodynamic inference methods aim to extract this signature from genetic data. We discuss the contribution of phylodynamics...

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Veröffentlicht in:Trends in microbiology (Regular ed.) 2015-07, Vol.23 (7), p.383-386
Hauptverfasser: du Plessis, Louis, Stadler, Tanja
Format: Artikel
Sprache:eng
Schlagworte:
Bayes Theorem
Bayesian statistics
Ebola virus
Ebola virus disease
Ebolavirus - genetics
epidemiology
Evolution, Molecular
Genome, Viral
Genomics - methods
Hemorrhagic Fever, Ebola - epidemiology
Hemorrhagic Fever, Ebola - virology
Humans
infectious diseases
Internal Medicine
MCMC
Molecular Epidemiology
phylogenetics
Phylogeny
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Beschreibung
Zusammenfassung:When epidemiological and evolutionary dynamics occur on similar timescales, pathogen genomes sampled from infected hosts carry a signature of the dynamics of epidemic spread. Phylodynamic inference methods aim to extract this signature from genetic data. We discuss the contribution of phylodynamics toward understanding the 2014 West African Ebola virus epidemic.
ISSN:0966-842X
1878-4380
DOI:10.1016/j.tim.2015.04.007