Prediction is worth a shot
Katia Koelle () and
David A. Rasmussen ()
Additional contact information
Katia Koelle: Duke University, Durham, North Carolina 27708, USA.
David A. Rasmussen: Duke University, Durham, North Carolina 27708, USA.
Nature, 2014, vol. 507, issue 7490, 47-48
Abstract:
Predicting the long-term evolution of influenza is difficult. But a model incorporating the effects of deleterious and beneficial mutations has met the more tangible goal of predicting year-to-year frequencies of viral groups. See Article p.57
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/nature13054 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:507:y:2014:i:7490:d:10.1038_nature13054
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/nature13054
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().