Please use this identifier to cite or link to this item: https://doi.org/10.7554/eLife.03883
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dc.titleImproving pandemic influenza risk assessment
dc.contributor.authorRussell, C.A
dc.contributor.authorKasson, P.M
dc.contributor.authorDonis, R.O
dc.contributor.authorRiley, S
dc.contributor.authorDunbar, J
dc.contributor.authorRambaut, A
dc.contributor.authorAsher, J
dc.contributor.authorBurke, S
dc.contributor.authorDavis, C.T
dc.contributor.authorGarten, R.J
dc.contributor.authorGnanakaran, S
dc.contributor.authorHay, S.I
dc.contributor.authorHerfst, S
dc.contributor.authorLewis, N.S
dc.contributor.authorLloyd-Smith, J.O
dc.contributor.authorMacken, C.A
dc.contributor.authorMaurer-Stroh, S
dc.contributor.authorNeuhaus, E
dc.contributor.authorParrish, C.R
dc.contributor.authorPepin, K.M
dc.contributor.authorShepard, S.S
dc.contributor.authorSmith, D.L
dc.contributor.authorSuarez, D.L
dc.contributor.authorTrock, S.C
dc.contributor.authorWiddowson, M.-A
dc.contributor.authorGeorge, D.B
dc.contributor.authorLipsitch, M
dc.contributor.authorBloom, J
dc.date.accessioned2020-10-30T01:58:20Z
dc.date.available2020-10-30T01:58:20Z
dc.date.issued2014
dc.identifier.citationRussell, C.A, Kasson, P.M, Donis, R.O, Riley, S, Dunbar, J, Rambaut, A, Asher, J, Burke, S, Davis, C.T, Garten, R.J, Gnanakaran, S, Hay, S.I, Herfst, S, Lewis, N.S, Lloyd-Smith, J.O, Macken, C.A, Maurer-Stroh, S, Neuhaus, E, Parrish, C.R, Pepin, K.M, Shepard, S.S, Smith, D.L, Suarez, D.L, Trock, S.C, Widdowson, M.-A, George, D.B, Lipsitch, M, Bloom, J (2014). Improving pandemic influenza risk assessment. eLife 3 : e03883. ScholarBank@NUS Repository. https://doi.org/10.7554/eLife.03883
dc.identifier.issn2050084X
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/182037
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.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectbiological model
dc.subjectepidemiological monitoring
dc.subjectevolution
dc.subjectgenetics
dc.subjectgeography
dc.subjecthuman
dc.subjectInfluenza A virus
dc.subjectInfluenza, Human
dc.subjectnucleotide sequence
dc.subjectPandemics
dc.subjectprocedures
dc.subjectpublic health
dc.subjectrisk assessment
dc.subjectvirology
dc.subjectBase Sequence
dc.subjectBiological Evolution
dc.subjectEpidemiological Monitoring
dc.subjectGeography
dc.subjectHumans
dc.subjectInfluenza A virus
dc.subjectInfluenza, Human
dc.subjectModels, Biological
dc.subjectPandemics
dc.subjectPublic Health
dc.subjectRisk Assessment
dc.typeArticle
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.7554/eLife.03883
dc.description.sourcetitleeLife
dc.description.volume3
dc.description.pagee03883
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