The Handbook of Infectious Disease Data Analysis ("HIDDA") contains a chapter on "Forecasting Based on Surveillance Data". The R package 'HIDDA.forecasting' provides the data and code to reproduce results from the two applications described in that chapter (see the corresponding vignettes): Univariate forecasting of Swiss ILI counts using 'forecast', 'glarma', 'surveillance' and 'prophet', and an age-stratified analysis of norovirus counts in Berlin using the multivariate time-series model "hhh4" from 'surveillance'.
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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