The field of epidemiology heavily relies on data to understand the patterns, causes, and effects of health and disease conditions in populations. However, with the advent of big data and advancements in technology, the volume of data has skyrocketed. This can overwhelm traditional data processing and analytical methods, making it difficult to extract actionable insights in a timely manner.
