Data Integration: It integrates diverse datasets, including genomic sequences, clinical data, and geographical information, to provide a comprehensive view of disease patterns. Disease Surveillance: Bioinformatics tools can be used for the real-time monitoring of disease outbreaks by analyzing sequence data from pathogens. Predictive Modeling: Algorithms and machine learning techniques help in predicting disease spread and identifying potential outbreaks before they occur. Genomic Epidemiology: It involves studying the genetic makeup of pathogens to track their evolution, transmission, and resistance to drugs.
