Recursive algorithms are a set of instructions that solve a problem by repeatedly breaking it down into smaller sub-problems of the same type. These algorithms are particularly useful in epidemiology for their ability to model complex dynamic systems such as the spread of infectious diseases. They can handle large datasets and provide precise predictions, making them invaluable in public health planning.
