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CDC Announces Initial Grants for Outbreak Analytics and Disease Modeling
 

Author: Staff

Thirteen primary awardees have been named by CDC’s Center for Forecasting and Outbreak Analysis. The funds will be used to create a consortium to design, prototype, test, and scale up advances in data modeling tools and technology that can be used to support public health decision makers.  The new network, Outbreak Analytics and Disease Modeling Network (OADM), will be a valuable resource to support responses during public health emergencies.
 

 

 


Each of these primary awardees brings a unique set of skills that will support in innovation, integration or implementation.  For example, the Gillings School at UNC has received funding specifically for the creation of the Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA), which will support the CDC’s Center for Forecasting and Outbreak Analytics as the OADM Coordinating Center and as a Center of Innovation.  The Johns Hopkins Center for Health Security will establish large-scale partnerships with traditional and nontraditional public health stakeholders across the country, as well as training public health students, practitioners, and modelers to use modeling and analytics tools for the full spectrum of epidemic responses. Meanwhile, Emory University has joined the network as an innovation partner and will support the development of a pipeline of new analytical methods, tools, and platforms for modeling efforts that will ultimately inform public health decision makers.  

Dylan George, director of CDC’s Center for Forecasting and Outbreak Analytics said:  “Each of the grantees will help us move the nation forward in our efforts to better prepare and respond to infectious disease outbreaks that threaten our families and our communities. We are committed to working alongside these outstanding partners to achieve our goal of using data and advanced analytics to support decision-makers at every level of government.” 

This innovative network extends the geographic reach and technical diversity of participants focused on innovating, integrating, and implementing modeling and forecasting tools to improve outbreak response. The goal is to improve speed, accuracy, and use of data & analytics during health emergencies, which is essential to providing Americans with the information to keep themselves and their families safe during outbreaks.

 

 

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