Tag Archives: stable

A different Ebola plot shows that number of cases is stable since one month

14 Oct

Note 2 (also Oct 14): Christophe Fraser (@ChristoPhraser) pointed out that a short article in the Lancet in 2003 about SARS made exactly the same point as I do here. 

Note (added Oct 14): several people on Twitter told me that just now, the fraction of cases that is reported is going down, meaning that the data become more and more unreliable. I don’t know if this is true, but if it is, then no matter how we plot the data, they may not mean much.

The other day, when I was writing about Ebola and airport checks, I noticed that one of the graphs on Wikipedia showed the number of new cases per week in stead of the total number of reported cases. Suddenly, the epidemic looked very different to me! Even though new cases are being found each week, the Wikipedia graph showed that the number of cases per week had been stable for a while. This is good news! Of course, we need the number of new cases per week to go down (and maybe it has just done that … says at least a Dutch newspaper), but even if the number is no longer going up, that is already a great improvement. I decided to get some data from Healthmap using code by Ebolastats from their Github repository, and plot the number of new cases per day, averaged over roughly weekly periods.   To me it looks like the number of new cases per day has been fairly stable since the week ending with September 9th.


At the same time, if we use the same data to plot the total number of cases, it looks like the number is still increasing exponentially. However, if you just focus on the last 5 points, you may agree with me that you could fit a straight line through it.

Note that the total number of cases cannot go down. When the epidemic is over, this curve will flatten to a horizontal line, it will not go back to the x-axis. I think most of us are used to looking at plots that show the number of cases per week or per month and so, even without realizing it, when we see a curve that is going up and up, we think that it means that the epidemic is getting worse, even if it is really stable. Therefore I don’t like the kind of plot that shows the total number of cases, because I think it looks much worse than it is.