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Table 1 Required inputs from the user for baseline model fitting

From: Online detection and quantification of epidemics

Parameter Possible values Default value
Length of the training period Number of years, number of observations Retrospective : All data
Prospective : Half dataset
Purge of the training period Data above selected percentile, above cut-off value, or in user-defined periods Above the 15% highest percentile
Regression equation Linear, quadratic or cubic terms. Annual, semi-annual or quarterly periodicity Automated model selection
Upper forecast limit (UFL) Percentile between 50% and 100% 95%
Minimum duration above UFL defining an unexpected change Number of observations 14 days/2 weeks/1 month