How Do Algorithms Aid in Disease Outbreak Prediction?
Algorithms analyze historical data, environmental factors, and other relevant variables to predict the likelihood of disease outbreaks. For instance, time-series analysis can forecast future case counts based on past trends. Machine learning models can also identify unusual patterns that may indicate the emergence of a new outbreak.
