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Inference of Epidemiological Dynamics Based on Simulated Phylogenies Using Birth-Death and Coalescen...

Inference of Epidemiological Dynamics Based on Simulated Phylogenies Using Birth-Death and Coalescen...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1685033153

Inference of Epidemiological Dynamics Based on Simulated Phylogenies Using Birth-Death and Coalescent Models

About this item

Full title

Inference of Epidemiological Dynamics Based on Simulated Phylogenies Using Birth-Death and Coalescent Models

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2014-11, Vol.10 (11), p.e1003913-e1003913

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Quantifying epidemiological dynamics is crucial for understanding and forecasting the spread of an epidemic. The coalescent and the birth-death model are used interchangeably to infer epidemiological parameters from the genealogical relationships of the pathogen population under study, which in turn are inferred from the pathogen genetic sequencing...

Alternative Titles

Full title

Inference of Epidemiological Dynamics Based on Simulated Phylogenies Using Birth-Death and Coalescent Models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1685033153

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1685033153

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1003913

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