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Research Article

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

  • Oliver Ratmann mail,

    oliver.ratmann@imperial.ac.uk

    Affiliations: Department of Biology, Duke University, Durham, North Carolina, United States of America, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom

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  • Gé Donker,

    Affiliation: NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands

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  • Adam Meijer,

    Affiliation: RIVM, National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands

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  • Christophe Fraser,

    Affiliation: Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom

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  • Katia Koelle

    Affiliations: Department of Biology, Duke University, Durham, North Carolina, United States of America, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Published: December 27, 2012
  • DOI: 10.1371/journal.pcbi.1002835

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