Improved algorithms in epidemiology refer to the advanced computational methods designed to enhance the analysis and interpretation of epidemiological data. These algorithms leverage machine learning, artificial intelligence, and statistical techniques to process large volumes of data, identify patterns, and make predictions. They offer significant improvements in speed, accuracy, and scalability compared to traditional methods.
