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The impact is largely unknown and in the future. So far, there is unchecked exponential growth in infections and deaths. This is happening in large part due to
by cryptoz 12y ago
The impact is largely unknown and in the future. So far, there is unchecked exponential growth in infections and deaths. This is happening in large part due to local populations ignoring containment rules, which makes it exponentially more difficult to stop. As the virus infects more people, it's increasingly likely to mutate into something even more difficult to control. The geographical spread is also somewhat unknown, due to patients hiding from health workers.
Look at these graphs and extrapolate out a few months to see why this is scary: http://en.wikipedia.org/wiki/Ebola_virus_epidemic_in_West_Africa#Timeline_of_the_outbreak http://en.wikipedia.org/wiki/Ebola_virus_epidemic_in_West_Af...
- unclebunkers 12y agoThank you, that was exactly what I was missing.
- TrainedMonkey 12y agoThere appears to be a recurrent cycle in this graph[0], is it real, or am I reading too much into unfiltered data? [0]http://en.wikipedia.org/wiki/File:Deseased_per_day_Ebola_2014.png http://en.wikipedia.org/wiki/File:Deseased_per_day_Ebola_201...
- phkahler 12y agoOne should never differentiate a sampled signal without a low-pass filter (at least second order is preferred). The original cases/day plot was smooth, but also leveled off at the end. IDK if the people collecting the data are on any kind of weekly schedule, but that type of thing would certainly come through in the data with enough samples and Fourier analysis.
- enraged_camel 12y ago>>As the virus infects more people, it's increasingly likely to mutate into something even more difficult to control. It has been a while since I learned about the topic, but I don't think ebola is very likely to mutate because it kills its host too quickly.