Several analytical techniques can be applied to real-time data, including machine learning algorithms, statistical models, and geographic information systems (GIS). These methods help identify patterns, predict future outbreaks, and evaluate the effectiveness of public health measures. For example, machine learning models can predict the spread of diseases based on current data, while GIS can visualize the geographical distribution of cases.