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Why do you consider “Normal” distribution for R_0?
Normal can take negative values.
log normal and gamma are fairly common due to felxibility of distribution shape
Nice talk. Did you do any sort of identifiabiliy analysis to determine which model parmeters could be practically identified from the data?
the wide variation of some of the R0 for example would suggest that they are not identifiable from the avaliable data
Has there been an opportunity to apply the bubbles on any communities?
Yes, in Mexico City some shools applied the model and one of them gave us some data that we are analyzing
I have to go. Thanks for the great session!