Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)


Volume 9, 5 Issues, 2014


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Editor-in-Chief:
Alessandro Giuliani
Istituto Superiore di Sanitá (Italian NIH) Environment and Health Dept
Roma
Italy


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Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

Author(s): Jie Gao, Ling Zhang and Peixuan Jin

Affiliation: School of Science, Jiangnan University, Wuxi 214122, China.

Abstract

Using CGR-walk model, this paper studies influenza virus HA/NA protein sequences from 1914 to 2012, and figures out multiple early warning signal values of influenza pandemic outbreak. The variances and lag 2 autocorrelation coefficients of protein sequences obtained according to the detailed HP model of the epidemic outbreak years and the last two years are significantly higher than those of the last adjacent years, while there is not the feature in the non-epidemic years.

Keywords: CGR (chaos game representation)-walk model, early warning signal values, influenza virus HA/NA protein sequences.

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Article Details

Volume: 9
Issue Number: 3
First Page: 228
Last Page: 233
Page Count: 6
DOI: 10.2174/1574893609999140523124205
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