Ah, Benny's parents, thanks for coming.

Hiya.

So, Benny has really blossomed this term.

You're telling me, he outgrew his bike. We sold it, on eBay.

Oh, that's not quite what I meant.

It's free to sell on there?

Free to sell?

Easy too. Sold Benny's bike, your guitar, my jacket.

You sold my guitar?

Shall we talk about Benny?

When it's this easy to sell for free, you can't help but say when it's eBay.

Things people love. T's and Cs apply, excludes vehicles.

This is part two of this episode in our series of coronavirus editions of Scientific American Science Talk, posted on March 24th, 2020.

I'm Steve Merski.

In part one of this episode, which we posted yesterday, contributing editor W.A. Gibbs reported on research

showing that it's likely that most people are catching COVID-19 from others who feel fine or think

their mild symptoms are due to allergies or a cold. And you can probably also pick up the

infection from virus deposited many hours earlier on inanimate objects like a gas pump or a credit

card or a pen. Now in part two, Gibbs talks with computational epidemiologist Lauren Ansel

Myers of the University of Texas about how scientists are building highly detailed computer models

of the pandemic to predict when we'll be able to ease up on social distancing. He also updates us on

tests for immunity to the virus that are now coming out

...