Automated systems in epidemiology typically operate by collecting data from various sources such as healthcare records, social media, and environmental sensors. This data is then processed using algorithms to identify patterns and trends. For instance, machine learning models can predict disease outbreaks by analyzing historical data and real-time inputs. These systems can also integrate with GIS (Geographical Information Systems) to map the spread of diseases geographically.
