Several technologies support real-time analytics in epidemiology:
Big Data: The ability to process vast amounts of data quickly is foundational to real-time analytics. Machine Learning: Algorithms can analyze data patterns and predict outcomes in real-time. Cloud Computing: Enables the storage and processing of large datasets from multiple sources. Internet of Things (IoT): Devices connected to the internet can provide continuous data streams.
