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Improving pandemic influenza risk assessment.
Russell, Colin A; Kasson, Peter M; Donis, Ruben O; Riley, Steven; Dunbar, John; Rambaut, Andrew; Asher, Jason; Burke, Stephen; Davis, C Todd; Garten, Rebecca J; Gnanakaran, Sandrasegaram; Hay, Simon I; Herfst, Sander; Lewis, Nicola S; Lloyd-Smith, James O; Macken, Catherine A; Maurer-Stroh, Sebastian; Neuhaus, Elizabeth; Parrish, Colin R; Pepin, Kim M; Shepard, Samuel S; Smith, David L; Suarez, David L; Trock, Susan C; Widdowson, Marc-Alain; George, Dylan B; Lipsitch, Marc; Bloom, Jesse D.
Afiliação
  • Russell CA; Colin A Russell Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Kasson PM; Peter M Kasson Department of Biomedical Engineering, University of Virginia, Charlottesville, United States.
  • Donis RO; Ruben O Donis Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Riley S; Steven Riley Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom; Fogarty International Center, National Institutes of Health, Bethesda, United States.
  • Dunbar J; John Dunbar Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States.
  • Rambaut A; Andrew Rambaut Fogarty International Center, National Institutes of Health, Bethesda, United States; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.
  • Asher J; Jason Asher Leidos contract support to the Division of Analytic Decision Support, Biomedical Advanced Research and Development Authority, Department of Health and Human Services, Washington, United States.
  • Burke S; Stephen Burke Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Davis CT; C Todd Davis Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Garten RJ; Rebecca J Garten Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Gnanakaran S; Sandrasegaram Gnanakaran Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States.
  • Hay SI; Simon I Hay Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom.
  • Herfst S; Sander Herfst Department of Viroscience, Postgraduate School of Molecular Medicine, Erasmus Medical Center, Rotterdam, Netherlands.
  • Lewis NS; Nicola S Lewis Department of Zoology, University of Cambridge, Cambridge, United Kingdom.
  • Lloyd-Smith JO; James O Lloyd-Smith Fogarty International Center, National Institutes of Health, Bethesda, United States; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
  • Macken CA; Catherine A Macken Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States.
  • Maurer-Stroh S; Sebastian Maurer-Stroh Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore; National Public Health Laboratory, Communicable Diseases Division, Ministry of Health, Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore,
  • Neuhaus E; Elizabeth Neuhaus Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Parrish CR; Colin R Parrish James A Baker Institute, College of Veterinary Medicine, Cornell University, Ithaca, United States.
  • Pepin KM; Kim M Pepin Fogarty International Center, National Institutes of Health, Bethesda, United States; National Wildlife Research Center, United States Department of Agriculture, Fort Collins, United States.
  • Shepard SS; Samuel S Shepard Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Smith DL; David L Smith Fogarty International Center, National Institutes of Health, Bethesda, United States; Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom; Sanaria Institute for Global Health and Tropical Medicine, Rockville, United States.
  • Suarez DL; David L Suarez Exotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratories, United States Department of Agriculture, Athens, United States.
  • Trock SC; Susan C Trock Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • Widdowson MA; Marc-Alain Widdowson Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
  • George DB; Dylan B George Fogarty International Center, National Institutes of Health, Bethesda, United States; Division of Analytic Decision Support, Biomedical Advanced Research and Development Authority, Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington,
  • Lipsitch M; Marc Lipsitch Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard School of Public Health, Boston, United States; Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, United States.
  • Bloom JD; Jesse D Bloom Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States.
Elife ; 3: e03883, 2014 Oct 16.
Article em En | MEDLINE | ID: mdl-25321142
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medição de Risco / Influenza Humana / Pandemias Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medição de Risco / Influenza Humana / Pandemias Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article