Data fragmentation poses several challenges in epidemiology. It hinders the ability to conduct comprehensive epidemiological studies and undermines efforts to track and respond to disease outbreaks. Fragmented data can result in incomplete datasets, making it difficult to identify trends, correlations, and causations. This limitation can delay public health responses and compromise the accuracy of epidemiological models.
