.- help for ^outbrk^ (STB-54: sbe32) .- Automated outbreak detection from public health surveillance data ----------------------------------------------------------------- ^outbrk^ #week #year where #week is the number of the current week #year is the number of the current year Description ----------- ^outbrk^ calculates threshold values for outbreak detection of infectious diseases. The data are weekly reports of positive microbiological diagnostics from a passive surveillance system based on laboratory reporting. The procedure is based on a log-linear regression model, adjusted for overdispersion, seasonality, secular trends and past outbreaks. This model is used to calculate an expected value for the current week based on historical data, together with a warning threshold value above which an observed count is declared to be unusual. When no cases are reported in a week, we asume that no outbreak occurred and thus no model is fitted. As a consecuence, no threshold value is calculated. The output is a table displaying the list of microorganisms with the observed number of cases and the threshold value for the current week. In addition, a warning message is displayed when the actual report exceed the threshold. ^outbrk^ works after setting the variables with the ^varset^ ado Example ------- . ^outbrk 3 1998^ Authors ------ Esther Lopez, Isolina Santiago, Luisa Abraira. Direccion Xeral de Saude Publica, Xunta de Galicia. dxsp3@@jet.es Also see -------- On-line: help for @varset@