Improving pandemic influenza risk assessment

Author:

Russell Colin A1,Kasson Peter M2,Donis Ruben O3,Riley Steven4,Dunbar John5,Rambaut Andrew6,Asher Jason7,Burke Stephen3,Davis C Todd3,Garten Rebecca J3,Gnanakaran Sandrasegaram5,Hay Simon I8ORCID,Herfst Sander9,Lewis Nicola S10,Lloyd-Smith James O6,Macken Catherine A5,Maurer-Stroh Sebastian11,Neuhaus Elizabeth3,Parrish Colin R12,Pepin Kim M6,Shepard Samuel S3,Smith David L6ORCID,Suarez David L13,Trock Susan C3,Widdowson Marc-Alain3,George Dylan B6,Lipsitch Marc14ORCID,Bloom Jesse D15ORCID

Affiliation:

1. Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom

2. Department of Biomedical Engineering, University of Virginia, Charlottesville, United States

3. Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States

4. Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom

5. Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States

6. Fogarty International Center, National Institutes of Health, Bethesda, United States

7. 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

8. Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom

9. Department of Viroscience, Postgraduate School of Molecular Medicine, Erasmus Medical Center, Rotterdam, Netherlands

10. Department of Zoology, University of Cambridge, Cambridge, United Kingdom

11. Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore

12. James A Baker Institute, College of Veterinary Medicine, Cornell University, Ithaca, United States

13. Exotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratories, United States Department of Agriculture, Athens, United States

14. Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard School of Public Health, Boston, United States

15. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States

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.

Funder

U.S. Department of Homeland Security

Fogarty International Center

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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