Why is Parallel Processing Important in Epidemiology?
The field of epidemiology often deals with massive amounts of data, ranging from genomic sequences to population health records. The ability to analyze these data sets quickly and accurately is crucial for timely public health interventions. Parallel processing aids in reducing the time required for data analysis, which can be critical during outbreaks and other health emergencies.
