I'm working with epidemiology time series of tick-borne encephalitis. I want to extract some latent information about signal using wavelet transform (WT). As i understood from different articles and books information i can "take" from scalogram, but there are continuous and discrete WT and many type of "mother" wavelet. Can you help me to make choice (maybe some criteria of choosing) and tell me please what else i can do with signal to extract more information using wavelet?
Now i've got pictures like this: (Left - time series of infected people from weeks (vertical lines is years); Central - wavelet scalogram (frequency(weeks^-1) from weeks; continuous wavelet transform with gabor wavelet); Right - 3D scalogram) this is data for 6 regions since 2010 to 2014 years
Draft version of my calcus i add to this post.