The Ebola Gene Replikin Count predicted the current outbreak and may now be signaling its end; the public health containment response may be critical. Lessons from SARS, MERS-CoV, and H1N1

The gene Replikin Count is a quantitative correlate of rapid replication and predictor of virus outbreaks; it has been visualized and tracked through a pandemic by 3D X-ray diffraction. Data will be presented from over 12,000 specimens showing that the gene Replikin Count in the Ebola virus increased markedly in 2013 to predict the current outbreak in 2014, as it did in 2008 for H1N1 to predict the 2009 influenza pandemic, and in 2002 for the 2003 SARS outbreak. The Ebola gene Replikin Count in the last few months has dropped precipitously as found in bioinformatics software probes of several Ebola gene proteins. Does this now signal the early end of this outbreak, as the Replikin Count’s sharp drop in 2003 did for SARS? While SARS had an excellent public health containment response which followed the gene Replikins drop, in Mers-CoV, where the public health response has been much less, a drop in Count in 2013 was not followed by the end of the outbreak, and the Count is rising again.