Data matching is the process of comparing two or more datasets to identify records that correspond to the same entity. In epidemiology, this technique is critical for combining information from various sources to ensure completeness and accuracy. This is particularly important for tracking the spread of diseases, studying risk factors, and evaluating the effectiveness of public health interventions.
