Digital Engineering 24/7

Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.

Rackspace Technology, UC Irvine, Scientific Systems and Plan4Co Debut COVID-19 Forecasting Model

The team—experts in medical, academic, data science and forecasting fields—showed that hospitalizations and deaths can be better forecasted by using the Rackspace solution compared to other common forecasts.

Latest Engineering Computing News

Latest Engineering Computing Resources

By DE Editors  

August 27, 2020

Rackspace Technology, an end-to-end multicloud technology solutions company, has partnered with University of California, Irvine, Scientific Systems Company, Inc., and Plan4Co to work on a project that underscores the effectiveness of Amazon Forecast in creating COVID-19 forecasting models with greater accuracy.

“This partnership constitutes the kind of collaborative enterprise necessary to advance our forecasting capabilities in a more fine-tuned and nuanced way that may well yield important actionable policy initiatives,” says David A. Snow, Ph.D., distinguished professor emeritus of the UC Irvine School of Social Sciences. Dr. Snow has led team-based homelessness research throughout the U.S. and the world, including Paris, Sao Paulo, Tokyo, and Orange County, CA.

Leveraging the serverless data processing solution built on Amazon Web Services (AWS) by Onica, a Rackspace Technology company, the team—comprised of experts in medical, academic, data science and forecasting fields—demonstrated that hospitalizations and deaths can be more accurately forecasted by utilizing the Rackspace Technology solution compared to other commonly used forecast models. The effort showed an improvement in the short-term accuracy of the forecasts by leveraging timeseries data ingested into a data lake built on AWS and pipelined into an advanced machine learning algorithm.

“We’re proud to play a role in helping humanity overcome the worst public health challenge we’ve seen in the modern era,” says Tolga Tarhan, CTO, Rackspace Technology. “We’re humbled that our data scientists were able to put our extensive AWS and AI/ML experience to work to predict future needs and strengthen planning efforts—both of which have never been more critical.”

The project is composed of two major innovations. The first innovation, known as COVID DSAFE, is intended to deliver improved data synthesis and advanced forecasting techniques. Powered by Amazon Forecast—a fully managed service that uses machine learning to deliver highly accurate forecasts—COVID DSAFE produces operational forecasts weekly at the state, county and zip code level.

The second innovation, known as COVID PrivyTRAC, is a contact tracing system that runs on AWS.  This system provides for COVID contact tracing with advanced privacy and security features, addressing common privacy concerns via advanced statistical spatiotemporal models.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

 

More about Rackspace

Rackspace, the #1 managed cloud company, helps businesses tap the power of cloud computing without the complexity and cost of managing it on their own. Rackspace engineers deliver specialized expertise, easy-to-use tools, and Fanatical…

Latest in Rackspace

Latest in COVID–19

About DE Editors

DE Editors

DE's editors contribute news and new product announcements to Digital Engineering. Press releases may be sent to them via [email protected].

Follow DE
on Facebook
on Linkedin

Related Topics

Engineering Computing   Cloud Computing   News   COVID–19   Rackspace   University of California Irvine   All topics
 

Subscribe

Subscribe to our FREE magazine, FREE email newsletters or both!

Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.

Subscribe today

 
 

From our Sponsors

Meltio Takes Metal Additive to the Next Level
Meltio's DED technology enables industries to tailor and customize their solutions to create & repair metal parts.
Easing the Transition from ETO to CTO with Configuration Lifecycle Management
Manufacturers are discovering that the Configure-to-Order (CTO) model provides significant benefits when it comes to customization.
Siemens + Altair = The Next Chapter in Design and Simulation
With its acquisition of Altair, Siemens creates a unified simulation portfolio combining generative design with high-performance computing and AI workflows.