Please use this identifier to cite or link to this item:
https://doi.org/10.7554/eLife.03883
DC Field | Value | |
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dc.title | Improving pandemic influenza risk assessment | |
dc.contributor.author | Russell, C.A | |
dc.contributor.author | Kasson, P.M | |
dc.contributor.author | Donis, R.O | |
dc.contributor.author | Riley, S | |
dc.contributor.author | Dunbar, J | |
dc.contributor.author | Rambaut, A | |
dc.contributor.author | Asher, J | |
dc.contributor.author | Burke, S | |
dc.contributor.author | Davis, C.T | |
dc.contributor.author | Garten, R.J | |
dc.contributor.author | Gnanakaran, S | |
dc.contributor.author | Hay, S.I | |
dc.contributor.author | Herfst, S | |
dc.contributor.author | Lewis, N.S | |
dc.contributor.author | Lloyd-Smith, J.O | |
dc.contributor.author | Macken, C.A | |
dc.contributor.author | Maurer-Stroh, S | |
dc.contributor.author | Neuhaus, E | |
dc.contributor.author | Parrish, C.R | |
dc.contributor.author | Pepin, K.M | |
dc.contributor.author | Shepard, S.S | |
dc.contributor.author | Smith, D.L | |
dc.contributor.author | Suarez, D.L | |
dc.contributor.author | Trock, S.C | |
dc.contributor.author | Widdowson, M.-A | |
dc.contributor.author | George, D.B | |
dc.contributor.author | Lipsitch, M | |
dc.contributor.author | Bloom, J | |
dc.date.accessioned | 2020-10-30T01:58:20Z | |
dc.date.available | 2020-10-30T01:58:20Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Russell, 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.issn | 2050084X | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/182037 | |
dc.description.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. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | biological model | |
dc.subject | epidemiological monitoring | |
dc.subject | evolution | |
dc.subject | genetics | |
dc.subject | geography | |
dc.subject | human | |
dc.subject | Influenza A virus | |
dc.subject | Influenza, Human | |
dc.subject | nucleotide sequence | |
dc.subject | Pandemics | |
dc.subject | procedures | |
dc.subject | public health | |
dc.subject | risk assessment | |
dc.subject | virology | |
dc.subject | Base Sequence | |
dc.subject | Biological Evolution | |
dc.subject | Epidemiological Monitoring | |
dc.subject | Geography | |
dc.subject | Humans | |
dc.subject | Influenza A virus | |
dc.subject | Influenza, Human | |
dc.subject | Models, Biological | |
dc.subject | Pandemics | |
dc.subject | Public Health | |
dc.subject | Risk Assessment | |
dc.type | Article | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.description.doi | 10.7554/eLife.03883 | |
dc.description.sourcetitle | eLife | |
dc.description.volume | 3 | |
dc.description.page | e03883 | |
Appears in Collections: | Staff Publications Elements |
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