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Research Article

Using Routine Surveillance Data to Estimate the Epidemic Potential of Emerging Zoonoses: Application to the Emergence of US Swine Origin Influenza A H3N2v Virus

  • Simon Cauchemez mail,

    s.cauchemez@imperial.ac.uk

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

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  • Scott Epperson,

    Affiliation: Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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  • Matthew Biggerstaff,

    Affiliation: Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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  • David Swerdlow,

    Affiliation: Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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  • Lyn Finelli,

    Affiliation: Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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  • Neil M. Ferguson

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

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  • Published: March 05, 2013
  • DOI: 10.1371/journal.pmed.1001399

About the Authors

Simon Cauchemez, Neil M. Ferguson
MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
Scott Epperson, Matthew Biggerstaff, David Swerdlow, Lyn Finelli
Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

Corresponding Author

Email: s.cauchemez@imperial.ac.uk

Competing Interests

SC received consulting fees from Sanofi Pasteur MSD for a project on the modelling of varicella zoster virus transmission. The authors declare no other competing interests.

Author Contributions

Conceived and designed the experiments: SC SE MB DS LF NMF. Performed the experiments: SC SE MB LF. Analyzed the data: SC SE MB. Wrote the first draft of the manuscript: SC. Contributed to the writing of the manuscript: SC SE MB DS LF NMF. ICMJE criteria for authorship read and met: SC SE MB DS LF NMF. Agree with manuscript results and conclusions: SC SE MB DS LF NMF.