In epidemiology, data often comes in large volumes, such as daily counts of disease cases or test results over extended periods. By using RLE, these datasets can be compressed, making them easier to store and analyze. For instance, if a region reports zero cases of a disease for several consecutive days, instead of recording each day individually, RLE would store the count of zero cases over those days as a single entry.
