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Early-warning signals for an outbreak of the influenza pandemic |
Ren Di(任迪) and Gao Jie(高洁)† |
School of Science, Jiangnan University, Wuxi 214122, China |
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Abstract Over the course of human history, influenza pandemics have been seen as major disasters, so studies on the influenza virus have become an important issue for many experts and scholars. Comprehensive research has been performed over the years on the biological properties, chemical characteristics, external environmental factors and other aspects of the virus, and some results have been achieved. Based on the chaos game representation walk model, this paper uses the time series analysis method to study the DNA sequences of the influenza virus from 1913 to 2010, and works out the early-warning signals indicator value for the outbreak of an influenza pandemic. The variances in the CGR walk sequences for the pandemic years (or + -1 to 2 years) are significantly higher than those for the adjacent years, while those in the non-pandemic years are usually smaller. In this way we can provide an influenza early-warning mechanism so that people can take precautions and be well prepared prior to a pandemic.
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Received: 14 May 2011
Revised: 25 July 2011
Accepted manuscript online:
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PACS:
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87.10.Vg
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(Biological information)
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02.50.Fz
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(Stochastic analysis)
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Fund: Project supported by the Fundamental Research Funds for the Central Universities (Grant No. JUSRP21117) and the Program for Innovative Research Team of Jiangnan University (Grant No. 2008CX002). |
Cite this article:
Ren Di(任迪) and Gao Jie(高洁) Early-warning signals for an outbreak of the influenza pandemic 2011 Chin. Phys. B 20 128701
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[1] |
Morens D, Folkers G and Fauci A 2004 Nature 430 242
|
[2] |
Liu J and Gao J 2011 Acta Phys. Sin. 60 783 (in Chinese)
|
[3] |
Lou H R 2009 Modern Hospital 9 6 (in Chinese)
|
[4] |
Liu H J and Luo Y L 2007 Studies of Avian Influenza virus-Induced Apoptosis and HA Protein Expression (Taiwan: National Pingtung University of Science and Technology) pp. 1, 2 (in Chinese)
|
[5] |
Rao Z H and Liu Y F 2009 Nature 458 909
|
[6] |
Jeffrey Shaman and Melvin Kohn 2009 PNAS 106 3243
|
[7] |
Wei F S 2000 Science and Technology Daily 6 19 (in Chinese)
|
[8] |
Yang D H and Yang X N 2006 Northwestern Seismological Journal 28 95 (in Chinese)
|
[9] |
Yang D H and Yang X N 2007 The Desert and the Oasis Weather 1 1 (in Chinese)
|
[10] |
Scheffer M, Bascompte J, Brock W A, Brovkin V, Carpenter S R, Dakos V, Held H, van Nes E H, Rietkerk M and Sugihara G 2003 Nature 461 53
|
[11] |
Carpenter S R and Brock W A 2006 Ecol. Lett. 9 308
|
[12] |
Gao J, Xu Z Y and Zhang L T 2007 Comput. Theor. Nanoscience 4 1237
|
[13] |
Gao J and Xu Z Y 2009 Chin. Phys. B 18 370
|
[14] |
Gao J, Jiang L L and Xu Z Y 2009 Chin. Phys. B 18 4571
|
[15] |
Jeffrey H J 1990 Nucleic Acids Res. 18 2163
|
[16] |
Yang X N 2009 Web of Science http://www.sciencenet.cn/blog/user_content.aspx?id=228052
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