Delphi Team News

The CDC’s Center for Forecasting and Outbreak Analytics announced the five-year, $17.5 million funding of the Delphi Center for Innovation in Outbreak Analytics and Disease Modeling on Sept. 19 as part of a national network of 13 centers of researchers, industry leaders and public health departments. The Outbreak Analytics and Disease Modeling Network will work together to create shared resources to address outbreak analytics, and disease modeling and forecasting, and will support a more effective response during public health emergencies.

Related news articles:

• CDC Awarding More Than $250 Million For Network Of 13 Infectious Disease Forecasting Centers

Carnegie Mellon University’s Delphi Group, the University of Maryland Social Data Science Center, and Meta receive two awards from the American Association of Public Opinion Research (AAPOR) for their work on the COVID-19 Trends and Impact Survey.

The Proceedings of the National Academy of Sciences Special Feature, “Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams In Tracking the COVID-19 Pandemic”, highlights Delphi papers, including:

• Epidemic Tracking and Forecasting: Lessons Learned from a Tumultuous Year
• An Open Repository of Real-Time COVID-19 Indicators
• Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?
• The US COVID-19 Trends and Impact Survey: Continuous Real-Time Measurement of COVID-19 Symptoms, Risks, Protective Behaviors, Testing, and Vaccination

The New York Times Magazine features Roni Rosenfeld in an article exploring efforts to forecast infectious-disease outbreaks, Inside the C.D.C.’s Pandemic ‘Weather Service’.

The American Statistical Association (ASA) presented the 2021 Statistical Partnerships Among Academe, Industry, and Government (SPAIG) award to Delphi and their COVIDcast collaborators.

Change Healthcare and Delphi announce the launch of new COVIDcast indicators using de-identified claims data from Change Healthcare.

We’ve welcomed 14 Google Fellows to Delphi and are excited to have them on board!

We launched our COVIDcast system, which makes available indicators related to COVID-19 activity level across the U.S. These indicators are derived from a variety of anonymized, aggregated data sources made available by multiple partners, and are publicly available at the COVIDcast endpoint of our Epidata API.

Related news articles:

• Carnegie Mellon Unveils Five Interactive COVID-19 Maps
• Self-reported COVID-19 Symptoms Show Promise for Disease Forecasts
• Facebook and Carnegie Mellon Team Up to Gather COVID-19 Symptom Data

We are focusing our efforts at this point on COVID-19 tracking and forecasting. We are adapting our existing systems, and developing new ones. Some of our regular activities may be halted as a result.

We were just named a national Center of Excellence for Influenza Forecasting by the CDC, one of two nationally. This is a 5 year designation.

And yet again! Our forecasting systems took the top spot in each of the three separate flu forecasting challenges of 2017-2018, out of up to 30 submissions. (Results summary.)

We did it again! Our two systems took the top two spots in the flu forecasting challenge of 2016-2017, out of 28 submissions. (Results summary.)

Our system took the top spot in the flu forecasting challenge of 2015-2016, out of 14 submissions. (Results summary.)