Aggregation is crucial for several reasons: 1. Detection of Outbreaks: By observing clusters of disease cases, epidemiologists can detect outbreaks early, allowing for timely intervention. 2. Understanding Disease Patterns: Aggregation helps in identifying the spatial and temporal patterns of diseases, which can give insights into the mode of transmission and potential sources. 3. Risk Factor Identification: It aids in pinpointing specific risk factors that might be associated with a higher incidence of disease in certain populations or areas. 4. Resource Allocation: Aggregation data can guide public health authorities in allocating resources more effectively to areas or populations with higher disease burdens.
