New Award: Data Integration and Predictive Analysis System (IPAS)

Effective disease-management activities need accurate prediction of disease occurrences.  The timely prediction of disease outbreaks facilitates the effective coordination and mobilization of medical, human, and pharmaceutical resources.  Prior knowledge of potential disease occurrences enables proactive development of medical interventions, medical prophylaxis to disease hazards, and containment of disease vectors.  This is true for both civilian public health coordination and for the military.  Infectious diseases are a significant threat to the armed forces and prior knowledge of disease threats will enable the military to not only plan effective mitigation and containment strategies, but also plan the military engagement timing based on these factors.  Traditional epidemiology has focused on compartmental models (susceptibility, exposed, infected, recovered (SEIR) based approaches for forecasting disease progression) [Hethcote 2000; Tebbens et. al., 2005; Mayer, 2013].  There is a need to develop occurrence prediction capabilities for novel, emerging, and re-emerging diseases.Continue reading