Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

Jie Gao; Ling Zhang; Peixuan Jin

doi:10.2174/1574893609999140523124205

ISSN: 1574-8936
E-ISSN: 2212-392X

Influenza Pandemic Early Warning Research on HA/NA Protein Sequences
By Jie Gao, Ling Zhang and Peixuan Jin
Source: Current Bioinformatics, Volume 9, Issue 3, Jul 2014, p. 228 - 233
DOI: https://doi.org/10.2174/1574893609999140523124205
- Available online: 01 Jul 2014

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.

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2014-07-01

2025-10-15

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Article Type: Research Article

Keyword(s): CGR (chaos game representation)-walk model; early warning signal values; influenza virus HA/NA protein sequences

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Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

Abstract

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