Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study

Early detection of outbreaks is crucial in public health surveillance in order to enable rapid control measures. Statistical methods are widely used for outbreak detection but no study has proposed to evaluate and compare thoroughly the performance of these methods.

Objective

Evaluate the performance of 8 statistical methods for outbreak detection in health surveillance with historical data.