Newest COVID-19 model indicates Colorado hospitalizations are increasing more sharply than previous predictions

Avoiding surges in infections and hospital demand over the next two months will require a substantial and rapid increase in transmission control

REMOTE, (Nov. 6, 2020): The Colorado Department of Public Health and Environment (CDPHE) and the Colorado School of Public Health released an updated modeling report showing hospitalizations from SARS-CoV-2 are increasing more sharply than last week’s projections. Keeping hospitals at or below demand capacity will require substantial and rapid action to prevent transmission. People should only interact with members of their own household, avoid gatherings, stay home when they are sick, wash their hands, physical distance, and wear a mask.

Colorado has now reached the greatest number of COVID-19 hospitalizations we have had to date, exceeding our peak in April. We reached this even faster than the modeling predicted. If the epidemic curve is not bent, Colorado could surpass intensive care unit (ICU) capacity in late December instead of January as reported in last week’s modeling report. If contacts increase over the holidays (for example, due to gatherings between multiple households), surge capacity could be required in mid-December, unless transmission is reduced. 

The latest modeling provides projections based on COVID-19 hospital census data through November 2, 2020. The models are based on Colorado data and assumptions based on the current state of the science.

Key findings from the report:

  • Hospitalizations continue to rapidly increase. On the current trajectory the limits of current ICU capacity may be reached in late December. If spread of infections increase over the holidays due to, for example, social gatherings, ICU capacity could be exceeded in mid-December.
  • Avoiding peaks in infections and hospital demand over the next two months will require a substantial and rapid increase in transmission control. The magnitude and timing of reductions in transmission will determine the severity of COVID-19 in Colorado in the months ahead.
  • The probability of encountering an infected person in the population is higher than it was at any point since SARS-CoV-2 arrived in Colorado. In some counties, like Denver, the virus is spreading even faster at a rate of approximately 1 in 100 Coloradans.
  • Using an extended modeling approach that includes case data, we estimate that transmission control has declined for all age groups. Individuals aged 20-39 have the lowest estimated level of transmission control. Notably, transmission control estimates continue to decline in the oldest age group (age 65+) suggesting they are increasingly becoming infected with the virus, leading to growth in hospitalizations in this high-risk group. 

The Colorado School of Public Health (ColoradoSPH) assembled the expert group that works with the state on modeling projections. The group includes modeling scientists at the ColoradoSPH and the University of Colorado School of Medicine at the CU Anschutz Medical Campus, as well as experts from the University of Colorado Boulder, University of Colorado Denver, and Colorado State University. 

All previous modeling reports are available on the Colorado School of Public Health’s COVID-19 website

The Colorado modeling team began using a new “transmission control” indicator in mid-October to describe the collective impact of all policies and behaviors on the spread of SARS-CoV-2. Transmission control captures ALL behavioral and policy changes in response to the SARS-CoV-2 pandemic including mask wearing, physical distancing, improved ventilation, working from home, contact tracing (including both isolation and quarantine), moving activities outside, and any seasonal impact. This approach has the advantage of requiring fewer assumptions and increasing accuracy for the Colorado model. In technical terms, the transmission control parameter describes the percent decrease in effective contacts between infected and susceptible individuals compared to pre-pandemic behavior. 

The state will continue to review data and model findings as the pandemic continues to inform policy decisions. 

Continue to stay up to date by visiting covid19.colorado.gov.

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