Mathematical modeling helped inform early statewide policies to reduce COVID-19 transmission
Colorado researchers have published new findings in
Emerging Infectious Diseases that take a first look at the use of SARS-CoV-2 mathematical modeling to inform early statewide policies enacted to reduce the spread of the Coronavirus pandemic in Colorado. Among other findings, the authors estimate that 97 percent of potential hospitalizations across the state in the early months of the pandemic were avoided as a result of social distancing and other transmission-reducing activities such as mask wearing and social isolation of symptomatic individuals.
The modeling team was led by faculty and researchers in the Colorado School of Public Health and involved experts from the University of Colorado Anschutz Medical Campus, University of Colorado Denver, University of Colorado Boulder, and Colorado State University.
New Study Shows Mathematical Models Helped Reduce Spread of COVID-19 in Colorado
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New study shows mathematical models helped reduce the spread of COVID-19
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At least 70 percent of Colorado residents need to be vaccinated against COVID-19 before the state can safely roll back all public health restrictions, according to CU research. (Shutterstock)
Colorado is nearly halfway to safely returning to normal, according to the latest public health data and a University of Colorado study released Wednesday.
At least 70 percent of Coloradans will need to get vaccinated against COVID-19 before the state can safely roll back all public health restrictions, CU researchers said.
Around 30 percent of our state s population are fully immunized, according to the latest public health data. But some Coloradans are choosing to hold off on getting vaccinated, health officials say.