A list including two datasets containing the parameters used for Farrington Flexible and for GLRNB for each time unit available in the Signal Detection tool
AlgoParamA list of 2 dataframes: one with 2 rows and 9 variables and GRLNB with 2 rows and 8 variables
Default parameters for FarringtonFlexible algorithm
Time units available in the signal detection tool i.e. week, month
Window's half-size, i.e. number of weeks to include before and after the current week in each year (w=2 for weeks, w=1 for months)
Logical specifying whether to reweight past outbreaks or not (TRUE for both weeks and months, past outbreaks are always reweighted)
Logical specifying whether a trend should be included and kept in case the conditions in the Farrington et. al. paper are met. (TRUE for both weeks and months, a trend is always fit)
Numeric defining the threshold for reweighting past outbreaks using the Anscombe residuals (2.85 for both weeks and months, as advised in the improved method)
Logical specifying whether to print warnings from the call to glm (TRUE for both weeks and months)
Numeric defining the threshold for deciding whether to keep trend in the model (0.05 for both weeks and months)
Integer, the number of cases defining a threshold for minimum alarm, no alarm is sounded if fewer than 'limit54_1' cases were reported in the past 'limit54_2' weeks/months
Integer, the number of periods defining a threshold for minimum alarm, no alarm is sounded if fewer than 'limit54_1' cases were reported in the past 'limit54_2' weeks/months
Default parameters for GLRNB algorithm
Time units available in the signal detection tool i.e. week, month
A vector of in-control values of the mean of the Poisson / negative binomial distribution with the same length as range - NULL for both weeks and months
Numeric, the pre-specified value for k or lambda is used in a recursive LR scheme - log(1.2) for both weeks and months corresponding to a 20 percent increase in the mean
Numeric, the dispersion parameter of the negative binomial distribution. If alpha=NULL the parameter is calculated as part of the in-control estimation - alpha=NULL for both weeks and months
Numeric, the threshold in the GLR test, i.e. c_gamma - cARL=0.25 for both weeks and months
Integer, the number of observations needed before we have a full rank - Mtilde=1 for both weeks and months
Integer defining the number of time instances back in time in the window-limited approach. To always look back until the first observation use M=-1. M=1 for both weeks and months
Character string specifying the type of the alternative. Currently the two choices are intercept and epi - Change=intercept for both weeks and months
surveillance::farringtonFlexible surveillance::glrnb