Epidemiology relies heavily on data. With the advent of big data and the increasing volume of health-related information, manual processing becomes impractical. Automation helps to manage and analyze large datasets quickly and accurately. Additionally, it minimizes human error and frees up epidemiologists to focus on more complex tasks that require human judgment.
