Modeling Results

Coronavirus (COVID-19)

The Colorado team's modeling documentation can be viewed at Colorado COVID-19 Mathematical Model Documentation (the SEIR model) and Regional Model Documentation. All available modeling is linked below, and additional updated Regional Models and Colorado County Population Data Dashboards are available. 

State models


August 25, 2022 Modeling Report

 

June 23, 2022 Modeling Report

 

May 12, 2022 Modeling Report

 

Regional models


November 18, 2021 Regional Models for Colorado

 

October 26, 2021 Regional Models for Colorado

 

September 22, 2021 Regional Models for Colorado

 

Additional reports


January 3, 2022 COVID-19 Vaccine Race & Ethnicity Data Report

 

October 12, 2020 Stakeholder Modeling Website Feedback Report

 

July 6, 2020 Colorado COVID-19 Boundaries & Mobility-Identified Communities Report

 

About the models


When Colorado Gov. Jared Polis and the Colorado Department of Public Health and Environment (CDPHE) needed to respond to the rapidly worsening COVID-19 pandemic, they needed data and projections of the pandemic’s course based upon Colorado data. A team was quickly assembled by the Colorado School of Public Health (ColoradoSPH) to collaborate with CDPHE on epidemic modeling—the basic approach for generating the needed information for decision-making. 

These models are mathematical representations that reflect how viruses affect populations: infecting those who are susceptible, making some ill and in need of hospital and critical care, and leading to death for some. The models are used to examine how different measures, like closing restaurants and bars, slow and diminish the epidemic. Remembering that a model is a simulation of the world, none “are correct” but they should be useful and allow people to make hypotheses about the trajectory of a disease and the impacts of different policies and behavior changes. 

About the team


In response to the CDPHE request, Dean Samet put together an interdisciplinary and interinstitutional team that brought complementary expertise for epidemiological modeling including other experts from our school, the University of Colorado School of Medicine, the University of Colorado Boulder, the University of Colorado Denver, and Colorado State University. 

Coordination, management, and communications

Laura Timm

Laura Timm PhD

Email Address:letimm@alaska.edu

Laura Timm is a postdoctoral researcher at the Cooperative Institute for Climate, Ocean, & Ecosystem Studies at the University of Alaska Fairbanks and Auke Bay Laboratory at the National Oceanic and Atmosphere Administration National Marine Fisheries Service. Dr. Timm is a computational biologist trained in population genetics and evolution.

Modeling team

Laura Timm

Laura Timm PhD

Email Address:letimm@alaska.edu

Laura Timm is a postdoctoral researcher at the Cooperative Institute for Climate, Ocean, & Ecosystem Studies at the University of Alaska Fairbanks and Auke Bay Laboratory at the National Oceanic and Atmosphere Administration National Marine Fisheries Service. Dr. Timm is a computational biologist trained in population genetics and evolution.

Health data and analytics

Laura Timm

Laura Timm PhD

Email Address:letimm@alaska.edu

Laura Timm is a postdoctoral researcher at the Cooperative Institute for Climate, Ocean, & Ecosystem Studies at the University of Alaska Fairbanks and Auke Bay Laboratory at the National Oceanic and Atmosphere Administration National Marine Fisheries Service. Dr. Timm is a computational biologist trained in population genetics and evolution.

Alumni

Laura Timm

Laura Timm PhD

Email Address:letimm@alaska.edu

Laura Timm is a postdoctoral researcher at the Cooperative Institute for Climate, Ocean, & Ecosystem Studies at the University of Alaska Fairbanks and Auke Bay Laboratory at the National Oceanic and Atmosphere Administration National Marine Fisheries Service. Dr. Timm is a computational biologist trained in population genetics and evolution.