Biosurveillance systems are automated platforms that continuously monitor for potential public health threats. These systems can detect and report unusual patterns of illness, often before they are noticed through traditional surveillance methods. For example, the use of natural language processing (NLP) can scan news reports and social media posts to identify early signs of an outbreak.
