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PLoS Comput Biol. 2013;9(1):e1002876. doi: 10.1371/journal.pcbi.1002876. Epub 2013 Jan 31.

Integrating phylodynamics and epidemiology to estimate transmission diversity in viral epidemics.

Author information

1
Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece. gkikas.magiorkinis@zoo.ox.ac.uk

Abstract

The epidemiology of chronic viral infections, such as those caused by Hepatitis C Virus (HCV) and Human Immunodeficiency Virus (HIV), is affected by the risk group structure of the infected population. Risk groups are defined by each of their members having acquired infection through a specific behavior. However, risk group definitions say little about the transmission potential of each infected individual. Variation in the number of secondary infections is extremely difficult to estimate for HCV and HIV but crucial in the design of efficient control interventions. Here we describe a novel method that combines epidemiological and population genetic approaches to estimate the variation in transmissibility of rapidly-evolving viral epidemics. We evaluate this method using a nationwide HCV epidemic and for the first time co-estimate viral generation times and superspreading events from a combination of molecular and epidemiological data. We anticipate that this integrated approach will form the basis of powerful tools for describing the transmission dynamics of chronic viral diseases, and for evaluating control strategies directed against them.

PMID:
23382662
PMCID:
PMC3561042
DOI:
10.1371/journal.pcbi.1002876
[Indexed for MEDLINE]
Free PMC Article

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