Data lag in epidemiology refers to the delay between the actual occurrence of an event (such as a new case of disease) and the time when this event is recorded in the surveillance system or made available to researchers and public health officials. This lag can significantly impact the effectiveness of disease tracking, response strategies, and public health interventions.
