tetano
Editor, Senior Moderator
Saudi J Biol Sci. 2017 Mar;24(3):724-728. doi: 10.1016/j.sjbs.2017.01.048. Epub 2017 Jan 25.
[h=1]Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers.[/h] Gao J[SUP]1[/SUP], Wang K[SUP]2[/SUP], Ding T[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] 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.
[h=4]KEYWORDS:[/h] Dynamical network biomarker (DNB); Early-warning signal; Influenza A virus; The critical state; The outbreak state
PMID: 28386202 PMCID: PMC5372459 DOI: 10.1016/j.sjbs.2017.01.048
Free PMC Article
[h=1]Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers.[/h] Gao J[SUP]1[/SUP], Wang K[SUP]2[/SUP], Ding T[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] 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.
[h=4]KEYWORDS:[/h] Dynamical network biomarker (DNB); Early-warning signal; Influenza A virus; The critical state; The outbreak state
PMID: 28386202 PMCID: PMC5372459 DOI: 10.1016/j.sjbs.2017.01.048
Free PMC Article