Data compression in epidemiology involves reducing the size of datasets without losing critical information. This process is crucial for efficiently storing and analyzing large volumes of health data, such as electronic health records (EHRs), genomic data, and disease surveillance reports. By compressing data, epidemiologists can improve data transmission speeds, minimize storage costs, and streamline computational processes.
