Lagged Effects and Uncertainty

"Why can't they invent a shot that keeps time from passing?"
--Jory Emhoff (Contagion)

The CoronaVirus situation presents good examples of lagged effects. It takes at least 10 days, perhaps longer, to diagnose someone with the virus. That means that infected individuals can unknowingly spread the illness for days before exposure is quarantined.

Similarly, the economic consequences of the virus are also lagged. Chinese suppliers are situated at the upstream end of many global supply chains. Many of these suppliers have severely curtailed operations in order to prevent local contagion to the virus. Reports are now surfacing that many container ships moving Chinese-produced goods are either a) sailing from ports with loads far below capacity or b) not leaving port at all.

Because it takes at least a month for many upstream shipments from China to make their way to downstream US retailers, the material consequences of these disruptions won't be visible for several weeks here in the states. Meanwhile, the time lags involved add uncertainty that make ultimate outcomes more difficult to forecast.

I wonder whether market discounting mechanisms that have been mucked up with so much easy money will be able to cut thru the fog of uncertainty and accurately foresee the lagged effects in this case.