Digital surveillance systems work by gathering data from various sources, including electronic health records (EHRs), social media, search engine queries, and mobile health applications. Advanced algorithms and machine learning techniques are often employed to process and analyze this data. The systems can identify patterns, predict outbreaks, and provide actionable insights for public health officials.
