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Phylodynamic Inference and Model Assessment with Approximate Bayesian Computation: Influenza as a Case Study

27 Dec 2012

Abstract excerpt

A key priority in infectious disease research is to understand the ecological and evolutionary drivers of viral diseases from data on disease incidence as well as viral genetic and antigenic variation. We propose using a simulation-based, Bayesian method known as Approximate Bayesian Computation (ABC) to fit and assess phylodynamic models that simulate pathogen evolution and ecology against summaries of these...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 23300420
DOI: 10.1371/journal.pcbi.1002835

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