How Does Data Segmentation Affect Disease Surveillance?
Data segmentation enhances disease surveillance by enabling more precise monitoring and detection of outbreaks. For example, segmenting data by geographic location can help pinpoint the source of an outbreak and track its spread. Similarly, segmenting by age can identify which age groups are most affected, guiding vaccination and other preventive measures.
