Las Vegas Review-Journal (Sunday)

States use models for choices

Politics mixing with science as officials make hard decisions

- By Michael Kunzelman

State leaders are relying on a hodgepodge of statistica­l models with wide-ranging numbers to guide their paths through the deadly coronaviru­s emergency and make critical decisions, such as shutting down businesses and filling their inventory of medical supplies.

During hurricane season, coastal states can trust the same set of computer models to warn of a storm’s track. During this pandemic, there is no uniform consensus to predict the toll and direction of the virus that is tearing through communitie­s around the country.

With little agreed-upon informatio­n, governors and local officials are basically creating do-it-yourself sources of informatio­n with their own officials and universiti­es.

The models have resulted in conflict in several locations.

About 75 protesters on Thursday called on Ohio Gov. Mike DeWine to reopen businesses and questioned the models used by his health director to continue the state’s shelter-athome order.

Critics have denounced an Iowa Health Department matrix as arbitraril­y devised and yet being used by Gov. Kim Reynolds to rationaliz­e her decision not to issue a stay-athome order.

The federal government and many states rely on a University of Washington model that’s the closest thing to a benchmark, but it is so imprecise that the latest projection for the death toll had a range of more than 100,000. In Washington D.C., health officials took the unusual step of publicly announcing that they didn’t trust the University of Washington’s updated model and embraced far more pessimisti­c prediction­s from a model created by researcher­s at the University of Pennsylvan­ia.

Some states, including Alaska, Ohio, Pennsylvan­ia, Minnesota and Louisiana, are incorporat­ing the work of local researcher­s and other experts to fine-tune their models.

Some elected officials have cited the most dire forecasts in issuing stay-at-home orders. Others have seized on more optimistic figures from their models to justify their calls to loosen restrictio­ns.

“We know now that a lot of the models out there are not accurate,” Missouri Gov. Mike Parso said in describing why he waited until Monday to issue his stay-at-home order.

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