Ira Longini

Ira M. Longini (born October 2, 1948) is an American biostatistician and infectious disease epidemiologist.

Longini was born in Cincinnati, Ohio.

He also received a MS in Statistics/Operations Research in 1973 and a BS, Engineering/Operations Research, from the University of Florida in 1971.

Longini began his career with the International Center for Medical Research and Training and the Universidad del Valle in Cali, Colombia, where he worked on tropical infectious disease problems and taught courses in biomathematics.

Following that he was a professor of biostatistics at the University of Michigan, Emory University, and the University of Washington.

He received his Ph.D. in Biometry and Biomathematics at the University of Minnesota in 1977.

In 2014 he is a professor of biostatistics at the University of Florida and Co-Director of the Center for Statistical and Quantitative Infectious Diseases (CSQUID), the Emerging Pathogens Institute, at the University of Florida.

Longini studies stochastic processes applied to epidemiological problems.

He has specialized in the mathematical and statistical theory of epidemics, which involves constructing and analyzing mathematical models of disease transmission, disease progression and the analysis of infectious disease data based on these models.

He designs and analyses vaccine and infectious disease prevention trials and observational studies.

He has worked on the analysis of epidemics of influenza, HIV, tuberculosis, cholera, dengue fever, malaria, rhinovirus, rotavirus, measles and other infectious agents.

Longini is also collaborating with the Department of Health and Human Services, the World Health Organization, the CDC and other public health organizations on mathematical and statistical models for the control of a possible bioterrorist attack with an infectious agent such as smallpox, and other natural infectious disease threats such as pandemic influenza or another SARS-like infectious agent.

Longini develops mathematical statistical methods to estimate the transmission and natural history of infectious diseases.

These methods are then used to create mathematical models which predict infectious disease transmission and indicate methods for control with vaccines and other measures.

His work on HIV helped to develop an understanding of pathogenesis and progression of HIV, including how HIV is transmitted in different rates at different stages.

This work contributed to the design HIV treatments and analysis of their effectiveness.

Longini extensively studied the transmission and of pandemic and interpandemic influenza and its control with antiviral agents and vaccines.

Longini investigated how infectious diseases such as influenza, cholera, typhoid and dengue could be controlled with vaccines.

He has designed, analyzed and interpreted vaccine studies for many of these infectious diseases, taking into account the indirect protection that unvaccinated people receive in a population of vaccinated people.

His work has helped to demonstrate how mass vaccination of school children helps to protect the entire community from influenza.

This strategy is being implemented throughout the world, and could eventually lead to control of both pandemic and interpandemic influenza.

Longini has won a number of awards for excellence in research, including the Howard M. Temin Award in Epidemiology for “Scientific Excellence in the Fight against HIV/AIDS,” two CDC Statistical Science Awards for both “Best Theoretical and Applied Papers,” and the CDC James H. Nakano Citation "for an outstanding scientific publications."

He is a Fellow of the American Statistical Association and a Fellow of the American Association for the Advancement of Science.

Longini is author or coauthor of more than 152 scientific papers and one book.