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Rising Modelers (K01/F31)


NIH Mentored Research Scientist Development Award (K01) Investigators

  • A Framework for Integrating Multiple Data Sources for Modeling and Forecasting of Infectious Diseases

    Nsoesie

    Principal Investigator: Elaine Nsoesie, Ph.D., University of Washington, Seattle

     

    This investigator is developing a data mining/informatics framework that leverages the huge amount of digital event-based data sources in combination with climate data, and data from traditional disease surveillance systems for modeling and forecasting infectious diseases.

  • Data Integration for Global Population Health Through Dynamic Models

    Willem Gijsbert

    Principal Investigator: Willem Gijsbert "Wilbert" Van Panhuis, M.D., Ph.D., University of Pittsburgh

     

    This investigator is working on the new methods for integrating public health data for disease surveillance with an emphasis on dengue and Chikungunya.

  • Individual Fellowship - F31 Investigator

  • Application of Branching Processes to Measles in California

    Ackley

    Principal Investigator: Sarah Ackley, University of California at San Francisco

     

    Through this F31 fellowship, this student is training in infectious disease epidemiology and statistical modeling and research that focuses on possible viral strain differences in measles outbreaks.
 
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Related Information

This page last reviewed on October 11, 2017