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Lt. Col. Jerre Hansbrough, left, commander, USACE-Albuquerque District, and Max Zuni, governor, Pueblo of Isleta, congratulate each other after signing a partnership agreement at the Pueblo of Isleta Cultural Center, June 26, 2024, that will begin a...
Lt. Gen. Scott Spellmon, 55th chief of engineers and commanding general of the U.S. Army Corps of Engineers, signs the Chief’s Report for the Oakland Harbor Turning Basins Widening Study during a May 31, 2024, ceremony at USACE Headquarters in...
Explore the latest advancements on the Sacramento Weir Widening Project in their new video! An aerial image looking south at the new weir and vehicle bridge, and fish passage structure, part of the Sacramento Weir Widening Project along the west...
Military leaders pose for a photo following the new South Wilmot Gate project groundbreaking ceremony Aug. 23 at Davis-Monthan Air Force Base in Arizona. The $15 million project will include a vehicle inspection facility and updated security...

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ERDC COVID-19 model debuts on CDC website

Published May 27, 2020
The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

VICKSBURG, Miss. – The U.S. Army Engineer Research and Development Center’s (ERDC) COVID-19 Modeling and Analysis Team (C-MAT) developed a COVID-19 model that debuted on the Centers for Disease Control and Prevention’s (CDC) website, May 22.

The ERDC model, also referred to as the ERDC-SEIR (Susceptible Exposed Infected Recovered) model, is one of 16 models featured on the CDC’s COVID-19 model ensemble website.

The inclusions of the ERDC model as part of the ensemble marks the first instance a model developed and maintained by the Department of Defense has been included in the CDC ensemble. The ERDC-SEIR model is featured alongside others from several prestigious institutions from around the world.

The model predicts disease spread in the U.S. and provides information that supports planning for response actions. The ERDC-SEIR model results have been provided to federal, state and local partners to aid the nation’s leaders in making informed decisions to address complex challenges related to the COVID-19 pandemic.

The C-MAT collaborated with representatives from the Federal Emergency Management Agency and the Department of Health and Human Services to communicate findings to the CDC. ERDC’s C-MAT members then coordinated with the Reich Lab to incorporate the ERDC-SEIR model predictions into the CDC ensemble. The results for each model included in the ensemble are routinely updated, and the C-MAT will continue to provide results to the CDC going forward.

Dr. Todd Bridges, the ERDC Senior Scientist who is leading C-MAT said, “It’s been amazing to see the power that can be generated by uniting more than 30 public health scientists, mathematicians, physicists, modelers, computer scientists, and other disciplines under a common cause.”


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ERDC COVID-19 model debuts on CDC website

Published May 27, 2020
The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

VICKSBURG, Miss. – The U.S. Army Engineer Research and Development Center’s (ERDC) COVID-19 Modeling and Analysis Team (C-MAT) developed a COVID-19 model that debuted on the Centers for Disease Control and Prevention’s (CDC) website, May 22.

The ERDC model, also referred to as the ERDC-SEIR (Susceptible Exposed Infected Recovered) model, is one of 16 models featured on the CDC’s COVID-19 model ensemble website.

The inclusions of the ERDC model as part of the ensemble marks the first instance a model developed and maintained by the Department of Defense has been included in the CDC ensemble. The ERDC-SEIR model is featured alongside others from several prestigious institutions from around the world.

The model predicts disease spread in the U.S. and provides information that supports planning for response actions. The ERDC-SEIR model results have been provided to federal, state and local partners to aid the nation’s leaders in making informed decisions to address complex challenges related to the COVID-19 pandemic.

The C-MAT collaborated with representatives from the Federal Emergency Management Agency and the Department of Health and Human Services to communicate findings to the CDC. ERDC’s C-MAT members then coordinated with the Reich Lab to incorporate the ERDC-SEIR model predictions into the CDC ensemble. The results for each model included in the ensemble are routinely updated, and the C-MAT will continue to provide results to the CDC going forward.

Dr. Todd Bridges, the ERDC Senior Scientist who is leading C-MAT said, “It’s been amazing to see the power that can be generated by uniting more than 30 public health scientists, mathematicians, physicists, modelers, computer scientists, and other disciplines under a common cause.”