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Research Article

A Bayesian Approach to Quantifying the Effects of Mass Poultry Vaccination upon the Spatial and Temporal Dynamics of H5N1 in Northern Vietnam

  • Patrick G. T. Walker mail,

    patrick.walker@imperial.ac.uk

    Affiliation: MRC Centre for Outbreak Analysis Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom

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  • Simon Cauchemez,

    Affiliation: MRC Centre for Outbreak Analysis Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom

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  • Raphaëlle Métras,

    Affiliation: Veterinary Epidemiology and Public Health Group, Department of Veterinary Clinical Sciences, The Royal Veterinary College, North Mymms, United Kingdom

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  • Do Huu Dung,

    Affiliation: Department of Animal Health, Hanoi, Vietnam

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  • Dirk Pfeiffer,

    Affiliation: Veterinary Epidemiology and Public Health Group, Department of Veterinary Clinical Sciences, The Royal Veterinary College, North Mymms, United Kingdom

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  • Azra C. Ghani

    Affiliation: MRC Centre for Outbreak Analysis Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom

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  • Published: February 19, 2010
  • DOI: 10.1371/journal.pcbi.1000683

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Correction: A Bayesian Approach to Quantifying the Effects of Mass Poultry Vaccination upon the Spatial and Temporal Dynamics of H5N1 in Northern Vietnam

Patrick G. T. Walker, Simon Cauchemez, Raphaëlle Métras, Do Huu Dung, Dirk Pfeiffer, Azra C. Ghani
Correction | published 11 Mar 2010 | PLOS Computational Biology
doi:10.1371/annotation/bdf0c45a-a656-4980-8bc8-7990255ed1ad