Real-time surveillance systems operate by gathering data from multiple sources such as hospitals, laboratories, and even social media platforms. The collected data is then processed using advanced algorithms and machine learning techniques to identify patterns and trends. Geographic Information Systems (GIS) are often integrated to visualize the spread of diseases geographically. Alerts are generated when unusual patterns are detected, prompting further investigation and action.
