Minnesota researchers provided the first detailed look Friday at the predictive modeling that influenced Gov. Tim Walz's "stay-at-home" strategy — which began Friday at 11:59 p.m. — to slow the spread of a novel coronavirus that has caused four deaths in the state.
The good news is that the strategy could reduce predicted COVID-19 deaths by up to a third, according to the modeling, and even more if it buys the necessary time for researchers to come up with vaccines or drugs. But the death toll could still be steep, and the modeling still predicts a point this spring or summer when an overwhelming 2 million Minnesotans are infected all at once.
"My instinct was, 'that can't be right. That is so incredibly high it can't be possible,' " said Stefan Gildemeister, the state health economist who conducted the modeling along with researchers from the U's School of Public Health. While "shocking," he said the results are only estimates based on assumptions about a still-unfolding global pandemic.
Health officials on Friday also reported two of the state's four deaths from COVID-19, the respiratory illness caused by the virus. Both involved people in their 80s who lived in long-term care facilities in Hennepin and Martin counties. Minnesota's confirmed case count is now 398 — with 34 people hospitalized with the illness and 17 receiving intensive care.
Walz issued a two-week stay-at-home order, with plans to follow that with three weeks of lesser restrictions — which will still include dine-in restaurant, bar and school closures. After that, restrictions could be reduced except for the elderly and people with other health problems who are most at risk of severe COVID-19 infection or deaths.
Two of the models by the state and university researchers compared the impact of this strategy vs. doing nothing at all and found that it could reduce deaths by as much as a third.
Both estimates are stark. The do-nothing model predicted 74,000 deaths in Minnesota over the entire course of the pandemic, but the model for the current state strategy still predicted 50,000 to 55,000 deaths, Gildemeister said.
State officials urged extreme caution in interpreting these figures, which are based on a number of assumptions, such as the amount of face-to-face time by Minnesotans that could spread the virus. Researchers also used the global average for the infection rate of the coronavirus, but it might not spread as quickly in Minnesota as in states or cities with more population density. Researchers added that the numbers weren't created to predict death tolls, but rather to assess how much change could be expected under different social policies and restrictions.