GAINESVILLE, Fla. — Implementing a vaccine trial during an epidemic can be difficult, particularly in countries with poor transportation, limited vaccine supplies and difficulty predicting how widespread a disease may become — conditions such as those in West Africa during the recent Ebola outbreak. Now, a University of Florida Health…
The 7th Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID 2015) will be held July 6-22, 2015 at the University of Washington in Seattle, Washington USA. The Institute consists of a series of two-and-a-half day workshops designed to introduce infectious disease researchers to modern methods of statistical analysis…
Ira Longini, Jr., Ph.D., fights infectious diseases with numbers and statistics. Longini is one of the UF Emerging Pathogens Institute’s biostatistician. He uses mathematical and statistical models to research the transmission and control of infectious diseases. “We use mathematics and statistics to model epidemics, design, analyze and interpret infectious disease…
CSQUID has conducted research on the Ebola virus and projection models. For questions about our Ebola research please visit http://www.mobs-lab.org/ebola.html. …
Dennis Chao and Chris Troeger attended the 4th Annual AFRICHOL consortium meeting in Kampala, Uganda.
We use mathematical and computer models of infectious disease transmission to simulate the course of epidemics and evaluate the efficacy of mitigation strategies. Recent projects include modeling pandemic H1N1 in the US, cholera in Haiti, and dengue in Thailand. Chao DL, Halloran ME,…
We use causal inference to evaluate the indirect, total and overall effects of vaccination. We are currently involved in designing or analyzing data from field trials of influenza vaccination in Senegal and dengue vaccination. The effects of vaccination vary at the individual and at the population level. Even unvaccinated individuals…
We develop methods to estimate transmission parameters from studying outbreaks in close contact groups. Yang Y, Halloran ME, Daniels MJ, Longini IM Jr. Modeling competing infectious pathogens from a Bayesian perspective: Application to influenza studies with incomplete laboratory results.
We are using epidemic percolation networks and survival analysis to estimate transmissibility of infectious disease. We argue that the time from the onset of infectiousness to infectious contact, which we call the “contact interval,” is a better basis for inference in epidemic data than the generation or serial interval. Since…
We study both the ecological determinants that drive cholera transmission seasonality and the potential use of vaccines to mitigate or prevent outbreaks. We are measuring ecological determinants of cholera transmission in Bangladesh. See our publication “Epidemic and endemic cholera trends over a 33-year period in Bangladesh”…
