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Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers
Joint Authors
Source
Saudi Journal of Biological Sciences
Issue
Vol. 24, Issue 3 (31 Mar. 2017), pp.724-728, 5 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Saudi Arabia
No. of Pages
5
Main Subjects
Topics
Abstract EN
The outbreak of influenza A comes from a relatively stable state is a critical phenomenon on epidemic.
In this paper, influenza A varying from different states is studied in the method of dynamical network biomarkers (DNB).
Through studying DNB of influenza A virus protein, we can detect the warning signals of outbreak for influenza A and obtain a composite index.
The composite index varies along with the state of pandemic influenza, which gives a clue showing the turn point of outbreak.
The low value (<1) steady state of the composite index means influenza A is normally in the relatively steady stage.
Meanwhile, if the composite index of a certain year increases by more than 0.8 relative to the previous year and it is less than 1 and it increases sharply and reaches a peak being larger than 1 in next year, it means the year is normal in the critical state before outbreak and the next year is normally in the outbreak state.
Therefore, we can predict the outbreak of influenza A and identify the critical state before influenza A outbreak or outbreak state by observing the variation of index value.
American Psychological Association (APA)
Gao, Jie& Wang, Kang& Ding, Tao. 2017. Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers. Saudi Journal of Biological Sciences،Vol. 24, no. 3, pp.724-728.
https://search.emarefa.net/detail/BIM-761808
Modern Language Association (MLA)
Gao, Jie…[et al.]. Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers. Saudi Journal of Biological Sciences Vol. 24, no. 3 (Mar. 2017), pp.724-728.
https://search.emarefa.net/detail/BIM-761808
American Medical Association (AMA)
Gao, Jie& Wang, Kang& Ding, Tao. Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 3, pp.724-728.
https://search.emarefa.net/detail/BIM-761808
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 728
Record ID
BIM-761808