Real-Time Surveillance and Data Analytics for Disease Outbreak Detection

Real-time surveillance and data analytics are vital for early detection and management of disease outbreaks. By analyzing data from social media, healthcare records, and sensors, data scientists can quickly identify patterns that indicate potential outbreaks. Using machine learning and AI, they can predict the spread of diseases and help public health officials respond faster with targeted measures, such as resource allocation and vaccination drives.

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