What Technologies are Involved in Real-Time Data Analytics?
Several technologies underpin real-time data analytics in epidemiology:
Big Data Platforms: These are essential for handling the vast amounts of data generated from various sources. Machine Learning Algorithms: These algorithms analyze data patterns and make predictions about disease trends. Internet of Things (IoT): IoT devices, such as wearable health monitors, provide continuous data on health metrics. Geospatial Analysis Tools: These tools help in mapping the spread of diseases and identifying hotspots. Cloud Computing: Cloud platforms enable scalable data storage and processing capabilities.
