Despite advances in modern healthcare, infectious diseases remain a major threat to human and animal health. The transmission of pathogens between populations, species and national boundaries is influenced by ecological and evolutionary factors, and takes place across a range of temporal and spatial scales. The complexity of disease transmission is further compounded by other factors including international travel, human behavior and antimicrobial resistance, making the prevention and control of transmissible diseases increasingly difficult to achieve.
To decode this complexity, mathematical models represent critical tools for handling large quantities of data from numerous sources. At the College of Veterinary Medicine, our faculty use these tools to predict the risk of disease emergence, track disease transmission, and develop methods for preventing and controlling future disease outbreaks in the US and abroad.
To find out more about our work in Mathematical Modeling, browse through our faculty profiles.
Mathematical modeling, epidemiology, and methods of disease control
Epidemiology, spatial and temporal modeling, and risk prediction