Social media platforms like Twitter and Facebook are increasingly used for disease surveillance. They allow epidemiologists to track the spread of diseases by monitoring posts and interactions. Natural language processing algorithms can analyze these posts to identify outbreaks and public sentiment, offering valuable insights into community health trends.
