1. A method for bio-surveillance detection and alerting, comprising the steps of: subtracting background noise from relevant data sets using a background estimation algorithm to create residual data; modeling the effects of a hypothetical anomalous event on said relevant data sets to create replica data; matching said residual data with said replica data using a detector to detect a real anomalous event similar to said hypothetical anomalous event; and triggering an alert if a real anomalous event similar to said hypothetical anomalous event is detected.