Real-time surveillance systems utilize various data sources such as hospital records, laboratory results, and even social media platforms. These systems often employ algorithms and machine learning techniques to analyze data rapidly. The information is then disseminated to public health officials, who can take appropriate actions. Technologies like Geographic Information Systems (GIS) and mobile health applications also play crucial roles in enhancing the accuracy and timeliness of the data collected.
