The CVDI IAB members nominated two technological breakthroughs for their organizations that are expected to be included in the 2016 I/UCRC Breakthrough Compendium.
FLU PREDICTION MODEL
The influenza forecasting model developed by Dr. Raju Gottumukkala uses a two-stage vectorized time series model that captures the influence of local environmental weather conditions and historical flu spread patterns to improve the flu prediction model. This is helpful for organizations like Schumacher Clinical Partners to forecast emergency department patient visits during peak flu season.
HOTSPOT PREDICTION MODEL
The hotspot prediction technique developed by Dr. Jian Chen uses an ensemble approach that leverages multiple models to predict hotspot evolution outcomes that has significant reduction in false positives. This is helpful for organizations like CGI Federal for both understanding infectious disease hotspots and crime hotspots.