Why the Models are all way overstated .....and must be revised

I am an MIT educated data scientist who has built pragmatically useful predictive models for business management for over 50 years. Many have been similar to the types of "death/survival" rates being predicted here.
1. Models are only as good as the data that set the parameters/assumptions
2. All of these models are based only on the earliest data
3. OBVIOUSLY, All of the earliest data were only from severely ill patients - those most in need of hospitalization, with other medical conditions....diabetes, obesity, weak immune systems..
4. Later data now show by far the majority people who are infected with the Wuhan Virus are asymptomatic and fend off the disease with their own immune systems or less heroic treatment than intubation etc...
5. I have reviewed the predicted vs. actual state by state forecasts from these models -- while they are seemingly relatively close in their predictions of the deaths, they are almost always high (and very high!!) in their predictions and CRITICALLY OVERSTATING THE DEMANDS ON HOSPITALS!!

They MUST BE IMMEDIATELY REVISED with actual data reflecting the TOTAL POPULATION, not just those with weak immune systems before these early WORST CASE PROJECTIONS CAUSE AN ECONOMIC DEPRESSION that makes another Great depression real.....