Nobody actually wants to fix the coronavirus.

We've had 6 months of data from every country in the world: precautions, travel, testing rates, cases.

We have enough raw data, but no one wants to look at it.

This is where it gets weird.

The requirements for this are absurdly low.

You can take a team of ten people who know how to type, put them under someone who has taken 1 or more classes in statistics ever, and they'll give you a list of effective practices in about two weeks.

It's basic quadratic regression.

And that's it.

There isn't any specialized knowledge, nor does it need a supercomputer.

If doing this was any easier, they'd call it your mom.

They'll be able to mathematically demonstrate what does and does not work. It would help us understand. Rather than arbitrary decisions affecting the few remaining businesses, we could base those decisions on facts.

Crazy, right?

In summary:

No one has figured any of this out
The raw data is available
The manpower requirement is low
The expertise needed is low

Draw your own conclusions.