EPI member uses analytical modeling to help prevent the spread of disease
Ira Longini, a member of the Emerging Pathogens Institute and co-director of the Center for Statistics and Quantitative Infectious Diseases (CSQUID), uses a strategy called analytic modeling to understand and deter the spread of new diseases. This method is also used by UF researchers to study familiar diseases. Their work will help researchers predict how quickly other resistant strains of diseases will become superior and how the growth of such resistance might be delayed. Read the full article, “Derailing disease,” published in The Post.