Additional file 1: of Using decision fusion methods to improve outbreak detection in disease surveillance

Table S1. An example of 25 years of dataset (training dataset the first 5 years + evaluation dataset the next 20 years) used in this study to evaluate outbreak detection algorithm and decision fusion methods (Baseline = 3 cases by days in average, Total number of outbreak cases injected =50 cases). The baseline (Column A) level of disease surveillance corresponding to an average of 3 cases declared by days in the system and the complete outbreak signal corresponding to a total of 50 cases according a shape of Norovirus outbreak injected (Column B) several time in the baseline. Column C represents the first day of the outbreak (1 = Start of the outbreak) and Column D all days considered as epidemic (=1). (XLSX 195 kb)