Publication: Improving pandemic influenza risk assessment
Open/View Files
Date
2014
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
eLife Sciences Publications, Ltd
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Russell, 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.
Research Data
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. DOI: http://dx.doi.org/10.7554/eLife.03883.001
Description
Other Available Sources
Keywords
Feature Article, Science Forum, influenza, pandemic, emergence, human, viruses
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service