Surveillance algorithms are computational tools designed to systematically collect, analyze, and interpret health-related data. These algorithms play a crucial role in monitoring the spread of diseases, identifying outbreaks, and informing public health decisions. They are integral to both active and passive surveillance systems and can be customized to track various infectious and non-infectious diseases.
