Coalescent inference for infectious disease: meta-analysis of hepatitis C.

Journal article

Abstract:: Genetic analysis of pathogen genomes is a powerful approach to investigating the population dynamics and epidemic history of infectious diseases. However, the theoretical underpinnings of the most widely used, coalescent methods have been questioned, casting doubt on their interpretation. The aim of this study is to develop robust population genetic inference for compartmental models in epidemiology. Using a general approach based on the theory of metapopulations, we derive coalescent models ...
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Role:

Author

Institution:

University of Oxford

Division:

MSD

Department:

NDM

Sub department:

NDM Experimental Medicine

Role:

Author

Journal:: Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Volume:: 368
Issue:: 1614
Pages:: 20120314
Publication date:: 2013-03-01
DOI:: 10.1098/rstb.2012.0314
EISSN:: 1471-2970
ISSN:: 0962-8436

Language:: English
Keywords:: Evolution, Molecular

Genetic Variation

Hepatitis C

Hepacivirus

Genetics, Population

Population Dynamics

Prevalence

Humans

Models, Theoretical
Pubs id:: pubs:384136
UUID:: uuid:04b71661-c96a-44cb-a741-09a36ac90013
Local pid:: pubs:384136
Source identifiers:: 384136
Deposit date:: 2013-11-17

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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