IDS in epidemiology utilize a combination of data mining, machine learning, and statistical analyses to monitor health data from various sources, such as hospitals, clinics, and laboratories. By continuously analyzing these data streams, IDS can identify anomalies that deviate from expected patterns, which may signify an outbreak or other significant public health event.
