Large datasets in epidemiology refer to extensive collections of health-related data that are often too large and complex for traditional data-processing tools. These datasets can include information from electronic health records, genetic data, surveillance systems, and data collected through surveys or cohort studies. The advent of Big Data technologies has enabled researchers to handle and analyze these massive datasets more efficiently.
