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dc.contributor.authorRussell, Colin Aen_US
dc.contributor.authorKasson, Peter Men_US
dc.contributor.authorDonis, Ruben Oen_US
dc.contributor.authorRiley, Stevenen_US
dc.contributor.authorDunbar, Johnen_US
dc.contributor.authorRambaut, Andrewen_US
dc.contributor.authorAsher, Jasonen_US
dc.contributor.authorBurke, Stephenen_US
dc.contributor.authorDavis, C Todden_US
dc.contributor.authorGarten, Rebecca Jen_US
dc.contributor.authorGnanakaran, Sandrasegaramen_US
dc.contributor.authorHay, Simon Ien_US
dc.contributor.authorHerfst, Sanderen_US
dc.contributor.authorLewis, Nicola Sen_US
dc.contributor.authorLloyd-Smith, James Oen_US
dc.contributor.authorMacken, Catherine Aen_US
dc.contributor.authorMaurer-Stroh, Sebastianen_US
dc.contributor.authorNeuhaus, Elizabethen_US
dc.contributor.authorParrish, Colin Ren_US
dc.contributor.authorPepin, Kim Men_US
dc.contributor.authorShepard, Samuel Sen_US
dc.contributor.authorSmith, David Len_US
dc.contributor.authorSuarez, David Len_US
dc.contributor.authorTrock, Susan Cen_US
dc.contributor.authorWiddowson, Marc-Alainen_US
dc.contributor.authorGeorge, Dylan Ben_US
dc.contributor.authorLipsitch, Marcen_US
dc.contributor.authorBloom, Jesse Den_US
dc.date.accessioned2014-11-03T17:38:51Z
dc.date.issued2014en_US
dc.identifier.citationRussell, C. A., P. M. Kasson, R. O. Donis, S. Riley, J. Dunbar, A. Rambaut, J. Asher, et al. 2014. “Improving pandemic influenza risk assessment.” eLife 3 (1): e03883. doi:10.7554/eLife.03883. http://dx.doi.org/10.7554/eLife.03883.en
dc.identifier.issn2050-084Xen
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:13347462
dc.description.abstractAssessing 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. DOI: http://dx.doi.org/10.7554/eLife.03883.001en
dc.language.isoen_USen
dc.publishereLife Sciences Publications, Ltden
dc.relation.isversionofdoi:10.7554/eLife.03883en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199076/pdf/en
dash.licenseLAAen_US
dc.subjectFeature Articleen
dc.subjectScience Forumen
dc.subjectinfluenzaen
dc.subjectpandemicen
dc.subjectemergenceen
dc.subjecthumanen
dc.subjectvirusesen
dc.titleImproving pandemic influenza risk assessmenten
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journaleLifeen
dash.depositing.authorLipsitch, Marcen_US
dc.date.available2014-11-03T17:38:51Z
dc.identifier.doi10.7554/eLife.03883*
dash.authorsorderedfalse
dash.contributor.affiliatedLipsitch, Marc


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