Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring

This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from brief data history to derive criteria for algorithm selection.