Maximizing Investigators' Research Award (MIRA) - R35

​​​​​​​​​​​​​​​​​​​By Rich Haddock
  • New Approaches to Measuring and Containing the Spatial Spread of Human Pathogens


    Principal Investigator: Caroline Buckee, Ph.D., Harvard School of Public Health


    This research program supports the development of analytical methods and tools for integrating human mobility data (i.e., aggregate mobile phone usage data) and parasite population genomic data (i.e., genome sequencing data from spatially sampled parasites) to understand the impact of human mobility on epidemic infectious diseases.
  • Real-Time Tracking of Virus Evolution for Vaccine Strain Selection and Epidemiological Investigation


    Principal Investigator: Trevor Bedford, Ph.D., Fred Hutchinson Cancer Research Center


    This research group is working on making use of extensive and publicly available influenza viral sequence data to predict lineages that have a high probability of outbreak in future years.

  • Statistical Methods for Real-Time Forecasts of Infectious Disease: Dynamic Time-Series and Machine-Learning Approaches


    Principal Investigator: Nicholas Reich, Ph.D., University of Massachusetts, Amherst


    This research group works on developing and disseminating robust statistical models for predicting infectious diseases in real-time.