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Improving pandemic influenza risk assessment

  • Colin A. Russell
  • , Peter M. Kasson
  • , Ruben O. Donis
  • , Steven Riley
  • , John Dunbar
  • , Andrew Rambaut
  • , Jason Asher
  • , Stephen Burke
  • , C. Todd Davis
  • , Rebecca J. Garten
  • , Sandrasegaram Gnanakaran
  • , Simon I. Hay
  • , Sander Herfst
  • , Nicola S. Lewis
  • , James O. Lloyd-Smith
  • , Catherine A. Macken
  • , Sebastian Maurer-Stroh
  • , Elizabeth Neuhaus
  • , Colin R. Parrish
  • , Kim M. Pepin
  • Samuel S. Shepard, David L. Smith, David L. Suarez, Susan C. Trock, Marc Alain Widdowson, Dylan B. George, Marc Lipsitch, Jesse D. Bloom
  • Centers for Disease Control and Prevention
  • University of Oxford

Research output: Contribution to journalArticleAcademicpeer-review

57 Citations (Scopus)
7 Downloads (Pure)

Abstract

Assessing the pandemic risk posed by specific non-human influenza A viruses is an important goal in public health research. As influenza virus genome sequencing becomes cheaper, faster, and more readily available, the ability to predict pandemic potential from sequence data could transform pandemic influenza risk assessment capabilities. However, the complexities of the relationships between virus genotype and phenotype make such predictions extremely difficult. The integration of experimental work, computational tool development, and analysis of evolutionary pathways, together with refinements to influenza surveillance, has the potential to transform our ability to assess the risks posed to humans by non-human influenza viruses and lead to improved pandemic preparedness and response.

Original languageEnglish
Article numbere03883
JournaleLife
Volume3
DOIs
Publication statusPublished - 16 Oct 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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