WEBVTT - The Super Episode

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<v Speaker 1>School of Humans. This is the tenth and final episode

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<v Speaker 1>of Long Shot, and this time around, I want to

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<v Speaker 1>do something different. We've covered a lot of vaccine ground

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<v Speaker 1>in this series, starting thousands, even millions of years ago

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<v Speaker 1>and bringing it forward to the pandemic days we're still

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<v Speaker 1>living in. In this super episode of Long Shot, we'll

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<v Speaker 1>go over all the coolest things from the series and

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<v Speaker 1>fill in a few gaps along the way. It's gonna

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<v Speaker 1>move pretty fast, but if you're listening to this series,

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<v Speaker 1>your brain probably moves pretty fast too. From School of

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<v Speaker 1>Humans and iHeartRadio, I'm Sean Revive and this is Long Shot.

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<v Speaker 1>Let's get this party started two ninety three million years ago.

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<v Speaker 1>That's when Joel Wertheim, an associate professor of Medicine at

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<v Speaker 1>UC San Diego, estimates coronavirus has first appeared. Our estimates

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<v Speaker 1>put the incestor of all coronaviruses at hundreds of millions

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<v Speaker 1>of years old, which actually would line up with the

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<v Speaker 1>split between bats and birds or their divergence. Now, as

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<v Speaker 1>much as I'd like to think, in all of that

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<v Speaker 1>noise and all of that uncertainty, we managed to hit

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<v Speaker 1>the nail on the head going back hundreds of millions

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<v Speaker 1>of years and identifying the split between bats and birds.

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<v Speaker 1>I just think that that's a lucky happenstance, and nobody

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<v Speaker 1>knows how old they are. Okay, so he's not really

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<v Speaker 1>sure about that number, but it's probably safe to say

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<v Speaker 1>that coronavirus has first appeared millions of years ago. But

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<v Speaker 1>the practice of innoculation, the prevention of disease through contraction

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<v Speaker 1>of that disease, doesn't start with coronaviruses. It starts with smallpox. Yep.

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<v Speaker 1>Smallpox one of the deadliest diseases in human history, killer

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<v Speaker 1>of hundreds of millions of people. Smallpox probably predates written history,

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<v Speaker 1>but some Egyptian mummies were found with signs of smallpox.

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<v Speaker 1>There are written descriptions of smallpox from seventh century India,

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<v Speaker 1>so we know it goes back many hundreds of years

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<v Speaker 1>at least. But what about smallpox inoculation. There's a legend

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<v Speaker 1>about smallpox inoculators living unmountain in China about the millennium ago.

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<v Speaker 1>The son of a local governor got very sick from smallpox,

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<v Speaker 1>which by len had to plague the China for at

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<v Speaker 1>least a thousand the years. The governor offered the piles

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<v Speaker 1>of gold to anyone who could help. He's his son.

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<v Speaker 1>Real documentation of inoculation comes about five hundred years later

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<v Speaker 1>in a fifteen forty nine medical text by a Ming

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<v Speaker 1>dynasty physician. Things start getting less hazy in the sixteen hundreds.

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<v Speaker 1>In sixteen eighty, in an ooculator named fushang Lin is

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<v Speaker 1>chosen by an emperor in China to protect his children.

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<v Speaker 1>Lo the Conci emperor, survived the smallpox, he did not

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<v Speaker 1>escape it to trauma. Every time there was an outbreak

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<v Speaker 1>of small pox, he was haunted both by his fallest

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<v Speaker 1>death and by the isolation, and so when he grew

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<v Speaker 1>into an adult, the county emperor searched far and wide

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<v Speaker 1>for the umpire's best inoculators. Thirty five years later, in

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<v Speaker 1>seventeen fifteen, Lady Mary Wortley Montague, a talented British poet

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<v Speaker 1>and young aristocrat, gets smallpox, which is probably the single

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<v Speaker 1>deadliest disease in England at the time. Her symptoms are horrible,

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<v Speaker 1>a wicked fever, a rapid pulse, trouble breathing due to

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<v Speaker 1>the swelling of her nose and throat, liquid filled pustules

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<v Speaker 1>that eventually cover her entire body and face. Lady Mary

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<v Speaker 1>survives the pox, but her face is scarred for life.

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<v Speaker 1>The next year, she moves from London to Constantinople with

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<v Speaker 1>her ambassador husband. There she hears the Turkish have a

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<v Speaker 1>way of protecting against pox. What they do is purposefully

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<v Speaker 1>inject a patient with a little smallpox matter, and that

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<v Speaker 1>gives the patient lifelong protection from full blown smallpox. Two

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<v Speaker 1>years later, in seventeen eighteen, Mary has her five year

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<v Speaker 1>old son inoculated. He may be the first english person

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<v Speaker 1>ever to be inoculated. And when she returns to London,

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<v Speaker 1>she has her daughter inoculated by a surgeon named Charles Maitland.

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<v Speaker 1>He'd go on to perform an innoculation experiment on prisoners

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<v Speaker 1>in seventeen twenty two. Here's historian Arthur Boylson. So six

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<v Speaker 1>of them, all of them quite young, late teens, early twenties,

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<v Speaker 1>and they were all inoculated with a big public spectacle.

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<v Speaker 1>They had all been sentenced to hang from various crimes.

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<v Speaker 1>And the King agreed that he would allow Maitland to

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<v Speaker 1>inoculate some prisoners. And at one point somebody complained to

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<v Speaker 1>the King and said, even that's a fairly nasty thing.

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<v Speaker 1>To do. McKey said, well, it's better than they preferred

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<v Speaker 1>it to hang. Regardless of the ethics of this experiment,

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<v Speaker 1>all six prisoners live and are pardoned. Meanwhile, around this time,

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<v Speaker 1>an enslaved African brings anoculation to the United States. His

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<v Speaker 1>name is One Samous and he's owned by a Puritan

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<v Speaker 1>minister in Boston named Cotton Mather. And One Samous changes

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<v Speaker 1>the course of inoculation history in the US. When Mather

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<v Speaker 1>asks One Samius if he's ever had smallpox, on Samius

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<v Speaker 1>replies both yes and no. He shows Mather a scar

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<v Speaker 1>and says it's from an operation where he got a

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<v Speaker 1>small mountain of smallpox in order to protect him from

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<v Speaker 1>the disease. Years later, when a smallpox outbreak comes to Boston,

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<v Speaker 1>Mather becomes the strongest voice in favor of anoculation, and

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<v Speaker 1>by the time of the American Revolution, General George Washington

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<v Speaker 1>makes an oculation standard practice for soldiers, so he inoculates

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<v Speaker 1>the entire continent alarmy over a period of weeks. Within

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<v Speaker 1>the army, it prevented smallpox, and thereafter inoculation became part

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<v Speaker 1>of the enrollment ritual for new soldiers. They were given

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<v Speaker 1>a shirt and gun shoes and inoculated. It's the reason

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<v Speaker 1>the United States exists. A few decades after Lady Mary

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<v Speaker 1>in the UK and once Amiss in the US, a

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<v Speaker 1>family by the name of Sutton starts at innoculation business

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<v Speaker 1>in rural England, traveling around and inoculating entire towns. They're

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<v Speaker 1>the first inoculation entrepreneurs. It was explosive. There were villages

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<v Speaker 1>all over the country that adopted the Suttonian system. They

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<v Speaker 1>hire a preacher to speak of God's support for the practice.

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<v Speaker 1>This is the way for our escape. Reason directs us

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<v Speaker 1>to it. Experience proves the utility and safety. This sickness,

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<v Speaker 1>as caused by innoculation, is not unto death. The Sutton's

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<v Speaker 1>helped make anoculation to mainstream practice, and by the time

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<v Speaker 1>their work is finished, a new type of smallpox prevention

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<v Speaker 1>is discovered by Edward Jenner. The legend goes that he

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<v Speaker 1>meets a milkmaid with perfect skin and she tells him

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<v Speaker 1>about being exposed to cow pox, which gives her protection

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<v Speaker 1>from smallpox. We all know and believe that beautiful story

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<v Speaker 1>of the milk Maide and how she was gorgeous, but

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<v Speaker 1>it's not true. It's made up. Even if the story

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<v Speaker 1>isn't true, Jenner does pretty much invent vaccination with his

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<v Speaker 1>use of cowpox to fight smallpox. In seventeen ninety six,

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<v Speaker 1>Dinner makes history by testing his vaccine on his Gardner's son,

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<v Speaker 1>eight year old James Phipps, and the boy lives. In

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<v Speaker 1>the eighteen eighties, Louis Pasteur creates vaccines for anthrax and

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<v Speaker 1>then rabies, using the practice of attenuation, weakening the virus

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<v Speaker 1>before injecting it into the body. In nineteen eighteen, the

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<v Speaker 1>Spanish flu arrives and sort of takes over the entire

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<v Speaker 1>world for a couple of years, killing somewhere around fifty

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<v Speaker 1>million people. The next year, Maurice Hilleman is born. Well,

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<v Speaker 1>I'm Marie's Haliman. I had a long career in science,

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<v Speaker 1>about sixty years. Hilleman is the goat of vaccine invention.

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<v Speaker 1>He helps develop most of the vaccines that we get today, measles, rubella,

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<v Speaker 1>hepatitis A, hepatitis B, Beninjacoccus, hib streptococcus, chicken pox. That's

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<v Speaker 1>all him. He also accidentally helps discover ad no viruses

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<v Speaker 1>while culturing the cells of a dead man's trachea. And

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<v Speaker 1>I said, well, I'd like to have his trachia. So

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<v Speaker 1>I went over to the morgue and waited for him

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<v Speaker 1>to carve out the trachea, wrapped it up newspaper and

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<v Speaker 1>brown back the lab, cut dope and start chopping on tissue.

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<v Speaker 1>Some days, you know, everything just goes right. Ad No

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<v Speaker 1>viruses are used today as a delivery system for some

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<v Speaker 1>of the COVID vaccines, like Astra's ENCAS and Johnson and Johnson's.

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<v Speaker 1>Hillman even creates a vaccine from his own daughter's cells

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<v Speaker 1>in nineteen sixty three. The name of the vaccine is

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<v Speaker 1>the Journal and Strain. It's on all of the boxes

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<v Speaker 1>and package inserts that come out. I have had the

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<v Speaker 1>pleasure throughout my life of also being called Miss Mumps,

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<v Speaker 1>and usually by pediatricians. And while Maurice Hillman is doing

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<v Speaker 1>his thing, some other cool things are happening with vaccines.

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<v Speaker 1>By the nineteen forties, we've got new vaccines for diphtheria, tetanus,

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<v Speaker 1>and pertussis. In nineteen fifty five, Jonah Saut comes out

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<v Speaker 1>with his vaccine for polio. There's also some not so

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<v Speaker 1>cool stuff happening when the polio vaccine comes out. One

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<v Speaker 1>of the company's mass producing it cut her laboratory messes

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<v Speaker 1>up and creates tens of thousands of doses containing live poliovirus.

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<v Speaker 1>Fifty one people are paralyzed and five die after getting

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<v Speaker 1>the vaccine meant to prevent polio. And in nineteen sixty six,

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<v Speaker 1>a vaccine trial for respiratories and scial virus and DC

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<v Speaker 1>goes bad. Eighteen babies, mostly from poor black families, end

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<v Speaker 1>up in the hospital and two of them die. RSV

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<v Speaker 1>can be deadly in children, and there is still no

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<v Speaker 1>FDA proof vaccine today. We'll get back to RSP in

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<v Speaker 1>a sec In nineteen eighty, smallpox returns to the news

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<v Speaker 1>when the World Health Assembly officially declares the virus eradicated. Yes,

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<v Speaker 1>after thousands of years, vaccines have ridded the world of

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<v Speaker 1>one of humanity's greatest killers. But HIV and AIDS appear

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<v Speaker 1>around that time. They spread throughout the eighties, at first

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<v Speaker 1>primarily in gay men, but also in intravenous drug users

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<v Speaker 1>and later in countries in Africa. Virologist named Eddie Holmes

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<v Speaker 1>goes to Edinburgh, Scotland to study HIV spread in the

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<v Speaker 1>early nineties. What we were trying to do was trying

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<v Speaker 1>to work out how the virus was spreading through that population,

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<v Speaker 1>how it diffused, and how it got into city, and

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<v Speaker 1>how it spreading. In the nineties, a team at the

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<v Speaker 1>US National Institutes of Health creates a vaccine called rhoda

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<v Speaker 1>Shield to fight a deadly childhood disease called rhodavirus. Rhoda

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<v Speaker 1>Shield gets the nod from the CDC, but within months

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<v Speaker 1>some cases of a rare intestinal disorder pop up and

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<v Speaker 1>the CDC withdraws its recommendation. But all throughout the eighties

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<v Speaker 1>and nineties, another team of researchers is working on a

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<v Speaker 1>rival vaccine for rhodavirus called Rhodotech. That one gets low

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<v Speaker 1>from the FDA and CDC in two thousand and six,

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<v Speaker 1>but not before the biggest clinical trial in the history

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<v Speaker 1>of medicine eleven countries and nearly seventy thousand infants. Here's

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<v Speaker 1>Paul Offitt, one of the developers of Rhodotech, and it

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<v Speaker 1>ended in so called Phase three trial, a prospect the

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<v Speaker 1>placebo control, the eleven country four year, three hundred and

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<v Speaker 1>fifty million dollars trial to prove that the vaccine worked.

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<v Speaker 1>The size of that enormous trial leads to the similarly

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<v Speaker 1>giant trials we have in twenty twenty for the COVID vaccines.

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<v Speaker 1>Johnson and Johnson, Astra, Zeneca, Fizer, Maderna, and others around

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<v Speaker 1>the world are all amongst the largest clinical trials ever.

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<v Speaker 1>In two thousand and two, we get an outbreak of

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<v Speaker 1>severe acute respiratory syndrome the first stars. More than eight

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<v Speaker 1>thousand people in twenty nine countries get it, but by

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<v Speaker 1>two thousand and four it mostly dies out thanks to

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<v Speaker 1>people like Maurice Hilleman. We've got tons of vaccines at

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<v Speaker 1>this point. But in two thousand and six, a new

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<v Speaker 1>discovery leads to all sorts of advances in medicine, including

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<v Speaker 1>the way we make vaccines. That year, Shinya Yamanaka, a

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<v Speaker 1>Japanese researcher, discovers a way to reprogram mature mouse cells

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<v Speaker 1>into immature cells. They can then be turned to whatever

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<v Speaker 1>type of cells he wants. Here's Derek Rossi who's in

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<v Speaker 1>the audience when Yamanaka announces his discovery. So what he

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<v Speaker 1>demonstrated was that he could take any cell type, any

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<v Speaker 1>differentiated cell which would normally we had thought been sort

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<v Speaker 1>of fixed in its identity, but he discovered a way

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<v Speaker 1>by introducing four genes to turn back the developmental time

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<v Speaker 1>on what was differentiated cell type and reverted back to

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<v Speaker 1>an embryonic stem cell like state. Derek is at Harvard

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<v Speaker 1>in two thousand and seven and he wants to build

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<v Speaker 1>upon Yamanaka's work changing mature cells to immature cells. Yamanaka

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<v Speaker 1>is inserting strands of DNA into cells in order to

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<v Speaker 1>change them, but this is dangerous for humans. It could

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<v Speaker 1>give you cancer. So Derek decides to use mRNA instead,

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<v Speaker 1>which is kind of like skipping a step in the

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<v Speaker 1>way that life is made. I call it the trifect

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<v Speaker 1>of life. DNA makes mRNA, protein makes life. Postdoctor Othello.

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<v Speaker 1>In my lab, doctor Luigi Warren had the idea, very

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<v Speaker 1>simple idea, just saying, hey, you know, we need to

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<v Speaker 1>make these transcription factors. Let's just skip the whole DNA part.

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<v Speaker 1>Let's just use m rna. That turns out to be

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<v Speaker 1>a genius move, but he runs into another problem When

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<v Speaker 1>he puts RNA into cells, the cells think they're being

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<v Speaker 1>attacked by a virus, which caused the cell to respond

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<v Speaker 1>by saying, looks like a virus is coming in. Let's

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<v Speaker 1>shut down the protein production. And it really looks like

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<v Speaker 1>a virus is coming in, so let's kill ourselves, you know,

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<v Speaker 1>an altruistic suicide and cell death, which is a good

0:14:47.725 --> 0:14:50.445
<v Speaker 1>thing for the cell to do, you know, rather than

0:14:50.525 --> 0:14:53.045
<v Speaker 1>let it be hijacked by a virus and have it

0:14:53.165 --> 0:14:57.085
<v Speaker 1>make hundreds of thousands of viral particles. He finds a

0:14:57.125 --> 0:15:00.925
<v Speaker 1>workaround from a couple of researchers at the University of Pennsylvania.

0:15:01.325 --> 0:15:05.085
<v Speaker 1>The researchers are Catlin Corrico and Drew Weissman, and they

0:15:05.125 --> 0:15:07.925
<v Speaker 1>figured about a cloaking method for tricking cells into not

0:15:08.005 --> 0:15:11.605
<v Speaker 1>thinking they're being invaded. Derek integrates it into his own

0:15:11.645 --> 0:15:14.605
<v Speaker 1>work and lo and behold, now we can change human

0:15:14.605 --> 0:15:18.645
<v Speaker 1>cells without killing them or causing cancerous mutations. That was

0:15:18.725 --> 0:15:23.165
<v Speaker 1>the sort of technological breakthrough that led to the development

0:15:23.165 --> 0:15:26.645
<v Speaker 1>of modified mRNA. We called it in the lab mod RNA.

0:15:26.725 --> 0:15:29.085
<v Speaker 1>He takes this work down the street to Bob Langer,

0:15:29.725 --> 0:15:33.045
<v Speaker 1>a serial entrepreneur based at MT, and they start a

0:15:33.045 --> 0:15:36.765
<v Speaker 1>company that they eventually name Maderna. By the way, just

0:15:36.925 --> 0:15:40.645
<v Speaker 1>as a a fun fact, you know, Maderna. It comes

0:15:40.685 --> 0:15:43.085
<v Speaker 1>from the term that we used in the lab describing

0:15:43.125 --> 0:15:46.565
<v Speaker 1>the technology. We called it mad RNA. So mod RNA

0:15:46.605 --> 0:15:48.485
<v Speaker 1>if you put any in there, you get Maderna. That's

0:15:48.525 --> 0:15:52.445
<v Speaker 1>where the name came from. At its formation, Maderna has

0:15:52.485 --> 0:15:57.045
<v Speaker 1>exactly zero full time employees and no products. They won't

0:15:57.125 --> 0:16:01.325
<v Speaker 1>have one for ten more years. In two thousand and eight,

0:16:01.605 --> 0:16:05.845
<v Speaker 1>structural biologist Jason McClellan takes a job at the NIH

0:16:06.045 --> 0:16:09.525
<v Speaker 1>where he meets Barney Graham. Graham wants to create a

0:16:09.605 --> 0:16:13.085
<v Speaker 1>vaccine for RSV, which is that virus I mentioned earlier

0:16:13.125 --> 0:16:16.965
<v Speaker 1>that can kill infants. The RSV vaccine that failed back

0:16:16.965 --> 0:16:19.725
<v Speaker 1>in the sixties was made by weakening a strain of

0:16:19.725 --> 0:16:22.765
<v Speaker 1>the virus by passing it through animal tissue or human cells.

0:16:23.245 --> 0:16:25.525
<v Speaker 1>That's how Maurice Hilleman made a lot of his vaccines.

0:16:26.405 --> 0:16:29.005
<v Speaker 1>But Jason and doctor Graham have a new method in mind.

0:16:29.685 --> 0:16:31.885
<v Speaker 1>They want to mess with the F protein of RSV.

0:16:32.805 --> 0:16:35.365
<v Speaker 1>That's the one the virus uses to infect human cells.

0:16:36.445 --> 0:16:39.285
<v Speaker 1>Before the F protein attaches itself to a human cell,

0:16:39.685 --> 0:16:43.045
<v Speaker 1>it is in its prefusion state. If you think of

0:16:43.045 --> 0:16:45.645
<v Speaker 1>your immune system as a security guard, you want to

0:16:45.645 --> 0:16:48.405
<v Speaker 1>train your immune system to recognize the form that might

0:16:48.445 --> 0:16:51.885
<v Speaker 1>infect you, like the dangerous form, and that's the prefusion form.

0:16:51.925 --> 0:16:54.965
<v Speaker 1>If you train it to recognize the postfusion form, the

0:16:55.005 --> 0:16:58.445
<v Speaker 1>prefusion form can still sneak by you. Barney, Graham, and

0:16:58.525 --> 0:17:00.485
<v Speaker 1>Jason want to figure out how to keep the F

0:17:00.645 --> 0:17:04.965
<v Speaker 1>protein in this state, and in twenty thirteen they do.

0:17:06.325 --> 0:17:08.365
<v Speaker 1>They figure out a way to sort of staypule the

0:17:08.365 --> 0:17:12.125
<v Speaker 1>protein so it stays in that form. And when Barney

0:17:12.125 --> 0:17:17.765
<v Speaker 1>immunized mice and compared postfusion versus prefusion, the mice receiving

0:17:17.805 --> 0:17:22.245
<v Speaker 1>the prefusion form of the F protein elicited neutralizing antibodies

0:17:22.245 --> 0:17:26.565
<v Speaker 1>about ten times higher than those that received the postfusion.

0:17:28.125 --> 0:17:31.445
<v Speaker 1>This is the first time that structural biology, looking super

0:17:31.445 --> 0:17:34.165
<v Speaker 1>closely at the structure of a virus helps discover a

0:17:34.165 --> 0:17:36.765
<v Speaker 1>new way to stop it. But now they want to

0:17:36.765 --> 0:17:39.045
<v Speaker 1>see what other viruses they can work on using this

0:17:39.245 --> 0:17:43.085
<v Speaker 1>prefusion protein state. This is right around the time that

0:17:43.165 --> 0:17:47.205
<v Speaker 1>Middle East Respiratory Syndrome is first reported in Saudi Arabia.

0:17:47.485 --> 0:17:51.805
<v Speaker 1>MERS is a really bad coronavirus. Thirty five percent of

0:17:51.845 --> 0:17:55.005
<v Speaker 1>people infected with it we're dying. It's a real lethal virus,

0:17:55.565 --> 0:17:57.965
<v Speaker 1>and we thought that this would be a good target

0:17:58.005 --> 0:18:00.005
<v Speaker 1>to try to take everything we had just learned about

0:18:00.125 --> 0:18:04.285
<v Speaker 1>RSP and apply it to not just MERS, but coronaviruses

0:18:04.365 --> 0:18:07.885
<v Speaker 1>in general, because we knew the Stars coronavirus had emerged

0:18:07.965 --> 0:18:10.805
<v Speaker 1>in China in two thousand and two and it caused

0:18:10.965 --> 0:18:14.805
<v Speaker 1>an epidemic. It turns out that MERS has a protein

0:18:14.885 --> 0:18:17.965
<v Speaker 1>that works kind of like the rsv F protein. It's

0:18:17.965 --> 0:18:21.325
<v Speaker 1>called the spike protein, and when the merge virus attacks

0:18:21.405 --> 0:18:25.005
<v Speaker 1>human cells, the spike injects itself into them in order

0:18:25.045 --> 0:18:28.445
<v Speaker 1>to spread throughout the body. But it's not easy to

0:18:28.525 --> 0:18:32.285
<v Speaker 1>staple the spike protein. It takes tons of trial and error.

0:18:33.405 --> 0:18:37.085
<v Speaker 1>Here's Nanchan Wang Jason's post doc to explain how hard

0:18:37.125 --> 0:18:40.685
<v Speaker 1>it is to figure this out. We got to try

0:18:41.485 --> 0:18:45.005
<v Speaker 1>again and again most of the time. It's got to feel. Yeah,

0:18:45.045 --> 0:18:48.485
<v Speaker 1>it's not so too easy actually to find their mutation

0:18:48.565 --> 0:18:55.325
<v Speaker 1>that to stabilize as product, it's pretty italented. By twenty seventeen,

0:18:55.645 --> 0:18:57.885
<v Speaker 1>they figure out how to staple the spike protein in

0:18:57.965 --> 0:19:00.765
<v Speaker 1>place and use that to teach the immune system to

0:19:00.805 --> 0:19:03.805
<v Speaker 1>fight off a MERGS infection, but they don't have any

0:19:03.805 --> 0:19:06.925
<v Speaker 1>people to test it on. Turns out MERS doesn't spread

0:19:07.005 --> 0:19:09.485
<v Speaker 1>very easily and the outbreak is mostly over by then.

0:19:10.885 --> 0:19:14.645
<v Speaker 1>No outbreak means no human trials, no human trials, means

0:19:14.645 --> 0:19:17.645
<v Speaker 1>they can't be sure that stabilizing the spike protein really

0:19:17.685 --> 0:19:22.365
<v Speaker 1>works as a vaccine candidate. Then in December twenty nineteen,

0:19:22.925 --> 0:19:27.565
<v Speaker 1>a new coronavirus appears. Here's Derek Rossing. You could see that.

0:19:27.965 --> 0:19:30.685
<v Speaker 1>You know, it was really snowballing. I mean it had

0:19:30.725 --> 0:19:34.925
<v Speaker 1>everything that a good pathogen would want. It was a respiratory.

0:19:35.405 --> 0:19:39.125
<v Speaker 1>When it was first being reported, the fatality rates and

0:19:39.205 --> 0:19:42.005
<v Speaker 1>the illness rates were very very high. We didn't, you know,

0:19:42.045 --> 0:19:43.565
<v Speaker 1>it was a new virus. We didn't know how to

0:19:43.565 --> 0:19:46.365
<v Speaker 1>respond to it. So the fatality rate was around two percent.

0:19:46.725 --> 0:20:00.045
<v Speaker 1>That's pretty darn serious. In mid December twenty nineteen, a

0:20:00.085 --> 0:20:03.405
<v Speaker 1>worker at the Huanan seafood wholesale market gets sick with

0:20:03.445 --> 0:20:07.805
<v Speaker 1>theemmonia like symptoms. He's admitted to Central Hospital of Wuha

0:20:08.165 --> 0:20:10.805
<v Speaker 1>and he's one of the first novel coronavirus patients in

0:20:10.845 --> 0:20:15.085
<v Speaker 1>the world. Central hospital happens to be where British phiologist

0:20:15.245 --> 0:20:18.325
<v Speaker 1>Eddie Holmes and it's Chinese colleague Jan Jang Jang are

0:20:18.365 --> 0:20:22.445
<v Speaker 1>studying patients with acute respiratory symptoms around that time. But

0:20:22.685 --> 0:20:25.685
<v Speaker 1>what that meant was we were kind of like on site,

0:20:25.845 --> 0:20:29.645
<v Speaker 1>almost looking at the same Z syndrome in the right

0:20:29.845 --> 0:20:34.165
<v Speaker 1>tissue samples with the right technology, and so we happen

0:20:34.245 --> 0:20:36.765
<v Speaker 1>to be in the wrong place the wrong time. I

0:20:36.765 --> 0:20:39.285
<v Speaker 1>feel like when it all kind of started, and that's

0:20:39.805 --> 0:20:41.725
<v Speaker 1>gave us an open door to really to try and

0:20:41.845 --> 0:20:44.725
<v Speaker 1>look at some of the early first cases to see

0:20:44.725 --> 0:20:47.365
<v Speaker 1>what was going on. Late at night and January fifth,

0:20:47.485 --> 0:20:52.445
<v Speaker 1>twenty twenty, Jang finishes sequencing the virus, but Chinese authorities

0:20:52.445 --> 0:20:54.725
<v Speaker 1>are trying to keep anything related to the virus from

0:20:54.765 --> 0:20:58.245
<v Speaker 1>being made public. The Ministry of Health were controlling everything,

0:20:58.525 --> 0:21:00.965
<v Speaker 1>and they wanted They wanted to control the message, they

0:21:01.005 --> 0:21:03.965
<v Speaker 1>wanted to damp down on rumors, they wanted to be

0:21:04.045 --> 0:21:08.245
<v Speaker 1>in control of the situation. On January eleventh, Jang gets

0:21:08.245 --> 0:21:10.765
<v Speaker 1>on a plane in Shanghai and is about to take

0:21:10.805 --> 0:21:14.925
<v Speaker 1>off when his phone buzzes. It's Eddie. I cooled jan

0:21:15.125 --> 0:21:17.205
<v Speaker 1>very early, and I said we need to release he

0:21:17.325 --> 0:21:20.925
<v Speaker 1>stay tonight. Jang agrees, has a post duct send the

0:21:20.965 --> 0:21:26.045
<v Speaker 1>sequence to Eddie. Eddie tweets out a link. That moment

0:21:26.125 --> 0:21:29.965
<v Speaker 1>kicks off development for the COVID nineteen vaccines, and that's

0:21:30.005 --> 0:21:33.885
<v Speaker 1>exactly what Jason McClellan starts working on the reports were

0:21:33.925 --> 0:21:37.605
<v Speaker 1>coming out of these pneumonia clusters in Wuhan. We could

0:21:37.605 --> 0:21:39.765
<v Speaker 1>just see it following along on science Twitter and on

0:21:39.845 --> 0:21:43.765
<v Speaker 1>the news. And then it was early in January when

0:21:43.925 --> 0:21:46.365
<v Speaker 1>it was learned that, in fact, it is a coronavirus

0:21:46.965 --> 0:21:50.565
<v Speaker 1>beta coronavirus that's similar to the first stars Kobe from

0:21:50.565 --> 0:21:54.045
<v Speaker 1>two thousand and two. Jason's at the University of Texas. Now,

0:21:54.765 --> 0:21:57.485
<v Speaker 1>I was a snowboarding with my family in Park City, Utah,

0:21:57.525 --> 0:22:00.445
<v Speaker 1>and Barney Graham called me. He said he was in

0:22:00.485 --> 0:22:04.765
<v Speaker 1>contact with the US CDC Chinese CDC and they were

0:22:04.765 --> 0:22:08.085
<v Speaker 1>going to try and work quickly work with Maderna try

0:22:08.085 --> 0:22:11.245
<v Speaker 1>and create a vaccine. Maderna is still considered an upstart

0:22:11.285 --> 0:22:14.325
<v Speaker 1>company at best, and it's never brought a vaccine to market.

0:22:14.765 --> 0:22:18.285
<v Speaker 1>Anyone to know if if we were interested in continuing

0:22:18.325 --> 0:22:21.845
<v Speaker 1>our collaboration to determine the structure of the stars cope

0:22:21.845 --> 0:22:26.205
<v Speaker 1>to spike protein and use that information to create the

0:22:26.285 --> 0:22:31.365
<v Speaker 1>vaccine antigens, Jason texts has graduate student Daniel Rep. We

0:22:31.365 --> 0:22:34.725
<v Speaker 1>were sort of ready to go, that's Daniel, because we've

0:22:34.765 --> 0:22:36.845
<v Speaker 1>been studying these spike proteins for such a long time.

0:22:36.885 --> 0:22:39.725
<v Speaker 1>We knew how to effectively stabilize spike in the prefusion

0:22:39.725 --> 0:22:42.925
<v Speaker 1>confirmation and that acts as a really good vaccine candidate.

0:22:45.125 --> 0:22:47.445
<v Speaker 1>Within a few weeks, they figure out how to stabilize

0:22:47.445 --> 0:22:50.925
<v Speaker 1>the spike protein of the novel coronavirus. But to make

0:22:50.965 --> 0:22:53.485
<v Speaker 1>a vaccine work, they need to make sure the mRNA

0:22:53.565 --> 0:22:55.805
<v Speaker 1>gets where it needs to go to instruct the body

0:22:55.845 --> 0:22:59.885
<v Speaker 1>to make stabilize spike proteins. What MADERNA does is encapsulate

0:22:59.925 --> 0:23:03.405
<v Speaker 1>the mRNA in a lipid nanoparticle shell to protect the

0:23:03.485 --> 0:23:07.325
<v Speaker 1>mRNA on its way to doing its things. Here's biochemist

0:23:07.405 --> 0:23:11.205
<v Speaker 1>Thomas Madden of Acuteous Therapeutics in Vancouver to remind us

0:23:11.285 --> 0:23:13.965
<v Speaker 1>what an l enp is and does. If you wanted

0:23:14.045 --> 0:23:18.405
<v Speaker 1>to order a really fragile glass ornament online and you

0:23:18.445 --> 0:23:21.405
<v Speaker 1>wanted it delivered to your to your home, if you

0:23:21.645 --> 0:23:25.725
<v Speaker 1>used the equivalent of our delivery technology, then the ornament

0:23:25.765 --> 0:23:29.605
<v Speaker 1>would be would be wrapped and packaged to protect it

0:23:29.645 --> 0:23:32.885
<v Speaker 1>and noboutter how rough the journey was to your to

0:23:32.965 --> 0:23:37.445
<v Speaker 1>your house. The package would would find your house, it

0:23:37.445 --> 0:23:40.325
<v Speaker 1>would open the front deck door by itself and let

0:23:40.365 --> 0:23:43.725
<v Speaker 1>itself in, and then it would unwrap itself. So the

0:23:43.845 --> 0:23:46.605
<v Speaker 1>ornament is waiting for you to come along and pick

0:23:46.685 --> 0:23:52.045
<v Speaker 1>up in your hallway, so the lipidano particle delivers the vaccine,

0:23:52.565 --> 0:23:56.965
<v Speaker 1>kind of like how FedEx delivers a package. Around the

0:23:57.005 --> 0:23:59.565
<v Speaker 1>same time that the Phase one trials from Aderna begin,

0:24:00.445 --> 0:24:03.605
<v Speaker 1>the US starts shutting down. Rush to the grocery store

0:24:03.685 --> 0:24:07.405
<v Speaker 1>like every single other person, and you know, the meat

0:24:07.485 --> 0:24:10.685
<v Speaker 1>sections were empty, and that just kind of that was

0:24:10.725 --> 0:24:14.205
<v Speaker 1>a little eerie to see. This is Nicola Pescarilli, and

0:24:14.205 --> 0:24:15.925
<v Speaker 1>all of a sudden, I just felt like everything was

0:24:15.965 --> 0:24:19.605
<v Speaker 1>closed off, and I didn't like that feeling. And so

0:24:19.645 --> 0:24:21.885
<v Speaker 1>it's like, what can I do to get everything to

0:24:21.965 --> 0:24:25.245
<v Speaker 1>return back to normal as soon as possible? What can

0:24:25.325 --> 0:24:27.285
<v Speaker 1>I do? What can I do to make things better?

0:24:27.325 --> 0:24:30.845
<v Speaker 1>Because I felt just so hopeless. Tom Hanks has COVID,

0:24:31.285 --> 0:24:35.005
<v Speaker 1>the NBA has shut down, entire cities and countries around

0:24:35.005 --> 0:24:38.405
<v Speaker 1>the world shut down, and Nicola volunteers for the Phase

0:24:38.485 --> 0:24:42.245
<v Speaker 1>one trial at the Hope Clinic in Atlanta. I'm in

0:24:42.325 --> 0:24:45.685
<v Speaker 1>Phase one, like, I am one of fifteen people getting

0:24:45.765 --> 0:24:49.245
<v Speaker 1>the highest dosage that no one else in this country,

0:24:49.445 --> 0:24:52.245
<v Speaker 1>in this world has ever gotten. And I think for

0:24:52.285 --> 0:24:55.405
<v Speaker 1>a moment, I thought, oh God, it might crazy, Like

0:24:55.685 --> 0:24:57.965
<v Speaker 1>could I die? And then I was like, no, it's fine.

0:24:58.125 --> 0:25:01.965
<v Speaker 1>Modern medicine is great, and it is great. The phase

0:25:02.045 --> 0:25:06.725
<v Speaker 1>one trial is a success. It was a very small process,

0:25:07.125 --> 0:25:10.685
<v Speaker 1>and I remember afterwards they wanted me to stay to

0:25:10.725 --> 0:25:14.205
<v Speaker 1>observe me for a while after the vaccine, and it

0:25:14.285 --> 0:25:16.485
<v Speaker 1>was still just like getting used to the whole new

0:25:16.645 --> 0:25:21.285
<v Speaker 1>change in the world. Meanwhile, more than a hundred other

0:25:21.365 --> 0:25:24.725
<v Speaker 1>vaccines are in the works around the world, all sorts

0:25:24.725 --> 0:25:28.005
<v Speaker 1>of them spot Nick in Russia, Sino farm and Sino

0:25:28.085 --> 0:25:32.485
<v Speaker 1>vac in China, Astra Zenica in the UK, Covaccine in India,

0:25:32.645 --> 0:25:36.765
<v Speaker 1>Soberana two in Cuba. They are mr Anda vaccines, had

0:25:36.925 --> 0:25:40.725
<v Speaker 1>no virus, vaccines, in activated vaccines. There are even vaccines

0:25:40.725 --> 0:25:46.085
<v Speaker 1>grown and tobacco like plants. But in the meantime, before

0:25:46.085 --> 0:25:49.165
<v Speaker 1>the vaccines are actually rolled out, lots of people are

0:25:49.205 --> 0:25:52.885
<v Speaker 1>getting sick and lots of people are dying, and nearly

0:25:52.885 --> 0:25:56.205
<v Speaker 1>everyone else is stuck at home, stuck caring for people,

0:25:56.565 --> 0:25:59.365
<v Speaker 1>confused about what to do and how to live. So

0:25:59.525 --> 0:26:03.005
<v Speaker 1>happy Halloween to me. Turns out I did have COVID.

0:26:03.765 --> 0:26:06.765
<v Speaker 1>A lot of us are really lonely, unable to see

0:26:06.805 --> 0:26:10.565
<v Speaker 1>friends or family, no office to go to. Some people

0:26:10.645 --> 0:26:14.525
<v Speaker 1>get COVID pets. Like Marina in Sweden, I was having

0:26:14.525 --> 0:26:17.285
<v Speaker 1>a really hard time sticking to any sort of schedule

0:26:17.485 --> 0:26:20.365
<v Speaker 1>because the days were all the same and there was

0:26:20.405 --> 0:26:23.805
<v Speaker 1>nothing to do. And then when COVID came around and

0:26:23.845 --> 0:26:27.325
<v Speaker 1>I had been working from home for nine or ten months,

0:26:27.445 --> 0:26:30.365
<v Speaker 1>I was just at my wits end, like so sick

0:26:30.405 --> 0:26:33.045
<v Speaker 1>of just being by myself. So I decided, like, now

0:26:33.165 --> 0:26:36.365
<v Speaker 1>is the time I'll get a dog. I can be

0:26:36.405 --> 0:26:38.885
<v Speaker 1>at home and train the dog. It seemed like a

0:26:38.885 --> 0:26:43.685
<v Speaker 1>good idea, but during COVID everything is more complicated and

0:26:43.845 --> 0:26:47.205
<v Speaker 1>plans just continuously get fucked up for everyone all the time.

0:26:48.045 --> 0:26:51.085
<v Speaker 1>In a slightly different world, I would have gone all

0:26:51.085 --> 0:26:54.725
<v Speaker 1>those things I wanted, but in a COVID world, I

0:26:54.765 --> 0:26:59.765
<v Speaker 1>didn't get any of them. Some people get sick and

0:26:59.845 --> 0:27:04.405
<v Speaker 1>stay sick, like Dave Hockaday in Oxford. It's just getting

0:27:04.405 --> 0:27:06.965
<v Speaker 1>worse each day. And then of course the fatigue was building,

0:27:07.005 --> 0:27:10.605
<v Speaker 1>that was getting worse, and there was just generally feeling

0:27:10.645 --> 0:27:15.325
<v Speaker 1>starting to feel really unwealth inflamed hot, was getting chills

0:27:15.405 --> 0:27:21.165
<v Speaker 1>at night times and night sweats, insomnia, dreadful nightmares. My god,

0:27:21.165 --> 0:27:25.445
<v Speaker 1>the nightmares were horrific. People like Dave have long COVID

0:27:26.005 --> 0:27:28.885
<v Speaker 1>and even today it's unclear what exactly is causing it.

0:27:29.325 --> 0:27:32.805
<v Speaker 1>Just seeing the numbers like them, an average number of

0:27:32.885 --> 0:27:37.965
<v Speaker 1>symptoms that long COVID patients had. That's Athena Akramy, a

0:27:38.045 --> 0:27:42.005
<v Speaker 1>neuroscientist at University College London. She got COVID in March

0:27:42.085 --> 0:27:47.485
<v Speaker 1>twenty twenty and seventeen months later she's still sick. She

0:27:47.565 --> 0:27:49.965
<v Speaker 1>now spends a lot of her time studying long COVID.

0:27:50.485 --> 0:27:54.605
<v Speaker 1>The average number of symptoms is more than fifty. Just

0:27:54.645 --> 0:27:58.165
<v Speaker 1>like seeing that number that like one person I can't

0:27:58.245 --> 0:28:03.245
<v Speaker 1>experience fifty different symptoms was kind of, I don't know, shocking,

0:28:04.205 --> 0:28:06.005
<v Speaker 1>and it seems like long COVID it will be a

0:28:06.085 --> 0:28:09.725
<v Speaker 1>huge problem for years to come. We are just like

0:28:09.845 --> 0:28:14.885
<v Speaker 1>accumulating so many long covides down like in a year,

0:28:15.445 --> 0:28:20.325
<v Speaker 1>probably each country will have millions of people, most of

0:28:20.365 --> 0:28:23.805
<v Speaker 1>them again previously young and faith that now they are

0:28:23.885 --> 0:28:29.405
<v Speaker 1>just like really struggling to go back to semi normal life.

0:28:30.005 --> 0:28:34.485
<v Speaker 1>That I really don't know what we'll how. It's a crisis,

0:28:34.525 --> 0:28:41.045
<v Speaker 1>it's a health crisis. But on a positive note. By

0:28:41.045 --> 0:28:45.405
<v Speaker 1>early twenty twenty one, three vaccines have gotten emergency authorization

0:28:45.445 --> 0:28:47.885
<v Speaker 1>in the US and they start making their way to

0:28:47.925 --> 0:28:52.405
<v Speaker 1>healthcare workers and the elderly. There are major hiccups at first.

0:28:53.245 --> 0:28:55.205
<v Speaker 1>I mean, it's damn near impossible for some people to

0:28:55.205 --> 0:28:58.005
<v Speaker 1>get appointments because there's no central system to do that.

0:28:58.845 --> 0:29:01.285
<v Speaker 1>It's a goddamn free for all instead of an orderly line.

0:29:02.805 --> 0:29:07.405
<v Speaker 1>At first, I was not successful at finding a vaccine.

0:29:07.885 --> 0:29:11.925
<v Speaker 1>That's Stanley Plutkin, one of the world's top experts on vaccines.

0:29:12.725 --> 0:29:15.325
<v Speaker 1>Even the guy who literally wrote the book on vaccines,

0:29:15.365 --> 0:29:18.725
<v Speaker 1>has trouble getting an appointment at first. He's eighty eight

0:29:18.765 --> 0:29:22.525
<v Speaker 1>years old and really vulnerable if he gets COVID. What

0:29:22.565 --> 0:29:24.205
<v Speaker 1>do you mean you weren't successful, even like you were,

0:29:24.245 --> 0:29:28.165
<v Speaker 1>You couldn't get an appointment at first? Yes, well, yeah,

0:29:28.205 --> 0:29:34.205
<v Speaker 1>I think initially of finding it was not easy. Initially

0:29:34.325 --> 0:29:40.525
<v Speaker 1>there was a lot of uncertainty about where vaccines were available,

0:29:41.365 --> 0:29:45.965
<v Speaker 1>how much was available, etc. That's how chaotic it is

0:29:46.005 --> 0:29:49.165
<v Speaker 1>in the beginning of twenty twenty one, and so it

0:29:49.245 --> 0:29:53.685
<v Speaker 1>became a You still have to navigate systems that are

0:29:53.765 --> 0:29:57.725
<v Speaker 1>largely fragmented and by the way, all online in order

0:29:57.805 --> 0:30:02.525
<v Speaker 1>to secure an appointment. And guess what, the very populations

0:30:02.565 --> 0:30:09.245
<v Speaker 1>that were favored is early beneficiaries of New York States

0:30:09.325 --> 0:30:12.925
<v Speaker 1>vaccine program are precisely the populations who can't be on

0:30:12.965 --> 0:30:15.765
<v Speaker 1>the internet all day or are not on the internet,

0:30:15.805 --> 0:30:19.645
<v Speaker 1>so the elderly, restaurant workers, grocery store workers, taxi drivers.

0:30:20.405 --> 0:30:25.725
<v Speaker 1>That's s Metro Khalita, whose organization Epicenter NYC helps get

0:30:25.765 --> 0:30:29.685
<v Speaker 1>people vaccine appointments in Jackson Heights, Queens back when it's

0:30:29.725 --> 0:30:32.365
<v Speaker 1>super hard to do it if you aren't really Internet savvy.

0:30:33.525 --> 0:30:36.565
<v Speaker 1>But eventually there's so much vaccine out there in the

0:30:36.645 --> 0:30:38.925
<v Speaker 1>US that anyone who wants a shot can get one.

0:30:40.205 --> 0:30:44.565
<v Speaker 1>Of course, not everyone does. One way to get vaccines

0:30:44.605 --> 0:30:48.125
<v Speaker 1>made and distributed faster for the next pandemic is to

0:30:48.245 --> 0:30:52.445
<v Speaker 1>use human challenge trials. That's where people get a disease

0:30:52.525 --> 0:30:55.725
<v Speaker 1>on purpose so that doctors and scientists can study it.

0:30:56.805 --> 0:30:59.405
<v Speaker 1>The first human challenge trial for COVID begins in the

0:30:59.485 --> 0:31:03.445
<v Speaker 1>UK in March twenty twenty one, and Jacob Hopkins is

0:31:03.445 --> 0:31:07.165
<v Speaker 1>one of the participants. Speaks of getting and COVID is

0:31:07.205 --> 0:31:11.565
<v Speaker 1>the most surreal thing in the world, Like it's intimidating.

0:31:11.925 --> 0:31:14.525
<v Speaker 1>This is him describing how they infect him during the trial.

0:31:15.125 --> 0:31:17.845
<v Speaker 1>It's like Jesus Christ, like this is like intense, and

0:31:17.885 --> 0:31:19.525
<v Speaker 1>they get this huge p pair. It's like almost like

0:31:19.525 --> 0:31:21.445
<v Speaker 1>a turkey basis, Like it's a massive pair they have.

0:31:21.925 --> 0:31:24.445
<v Speaker 1>They pick it up, they start counting down, So they

0:31:24.445 --> 0:31:28.085
<v Speaker 1>count down from twenty, which is adds to the suspense really,

0:31:28.365 --> 0:31:30.845
<v Speaker 1>and then they kind of like drop up in each nostrils,

0:31:30.845 --> 0:31:32.285
<v Speaker 1>so they kind of drop it around the outside of

0:31:32.285 --> 0:31:35.045
<v Speaker 1>the one nostril and then did the other and then

0:31:35.085 --> 0:31:38.165
<v Speaker 1>their way and they count not from twenty again and

0:31:38.205 --> 0:31:40.325
<v Speaker 1>then they repeat. You're kind of just sit like you're

0:31:40.405 --> 0:31:42.965
<v Speaker 1>kind of just laying there in silence, like just thinking,

0:31:43.285 --> 0:31:45.965
<v Speaker 1>oh my god, I've just been infected with coronavirus, and

0:31:46.085 --> 0:31:48.205
<v Speaker 1>like it kind of obviously kind of hits in at

0:31:48.205 --> 0:31:53.485
<v Speaker 1>that point. And while the UK and US and other

0:31:53.605 --> 0:31:58.365
<v Speaker 1>wealthy nations are overloaded with vaccines, poorer countries can't get

0:31:58.485 --> 0:32:02.365
<v Speaker 1>enough to vaccinate even small portions of their people. Even

0:32:02.405 --> 0:32:05.925
<v Speaker 1>with donations trickling in from miserly nations like the US,

0:32:06.805 --> 0:32:10.045
<v Speaker 1>low incombinations are still only two percent vaccinated on average,

0:32:10.805 --> 0:32:13.165
<v Speaker 1>And so a bunch of researchers get together and create

0:32:13.205 --> 0:32:16.645
<v Speaker 1>a new vaccine that can be produced cheaply and easily.

0:32:17.405 --> 0:32:21.965
<v Speaker 1>Here's Bruce Innis from the organization PATH. We're extremely interested

0:32:22.005 --> 0:32:27.885
<v Speaker 1>in ensuring that countries where health budgets are not strong

0:32:28.285 --> 0:32:32.165
<v Speaker 1>have access to world class vaccines that are life saving.

0:32:32.765 --> 0:32:37.045
<v Speaker 1>On the proposition that everyone deserves to have access to

0:32:37.285 --> 0:32:42.605
<v Speaker 1>life saving vaccines. PATH has helped coordinate the development of

0:32:42.645 --> 0:32:47.685
<v Speaker 1>this new vaccine, which is called ndv HXPS. It uses

0:32:47.725 --> 0:32:51.725
<v Speaker 1>a new stabilized spike protein called hexapro developed by Jason

0:32:51.805 --> 0:32:55.165
<v Speaker 1>McClellan and his colleagues at UT and then also starting

0:32:55.165 --> 0:32:59.085
<v Speaker 1>to make a second generation spike protein that was even

0:32:59.125 --> 0:33:02.725
<v Speaker 1>more stable than the two protein form. The engineered protein

0:33:02.885 --> 0:33:06.565
<v Speaker 1>is carried into the body by Newcastle disease by, which

0:33:06.685 --> 0:33:11.285
<v Speaker 1>is an avian virus. Here's Peter Palaze, a microbiologist at

0:33:11.285 --> 0:33:14.885
<v Speaker 1>Mount Sinai who helped develop the vaccine, and so we said, okay, right,

0:33:14.925 --> 0:33:20.165
<v Speaker 1>don't we put the sous coronavirus spike protein into Newcastle

0:33:20.205 --> 0:33:22.445
<v Speaker 1>disease bows and thens what we did, so we have

0:33:22.765 --> 0:33:28.525
<v Speaker 1>a vector ven vaccine. The big difference between this vaccine

0:33:28.605 --> 0:33:30.765
<v Speaker 1>and the ones we've gotten in the US is that

0:33:30.765 --> 0:33:33.805
<v Speaker 1>it's cheaper to make because it's grown in chicken eggs

0:33:33.845 --> 0:33:38.085
<v Speaker 1>just like most flu shots, and it's being piloted in Vietnam, Brazil,

0:33:38.245 --> 0:33:42.765
<v Speaker 1>and Thailand. Already here's Bruce again. They've made multiple lots

0:33:42.765 --> 0:33:46.725
<v Speaker 1>of vaccine, initially at pilot scale, which might involve a

0:33:46.725 --> 0:33:51.445
<v Speaker 1>few thousand eggs, and we're getting typically about seven to

0:33:51.525 --> 0:33:55.685
<v Speaker 1>eight finished vaccine doses per inoculated egg. You can think

0:33:55.725 --> 0:33:58.565
<v Speaker 1>of the egg as a mini bioreactor, each one self

0:33:58.605 --> 0:34:03.525
<v Speaker 1>contained bioreactor. And now they're in the process of manufacturing

0:34:03.925 --> 0:34:10.485
<v Speaker 1>the investigational vaccine at full commercial scale. Some phase one

0:34:10.525 --> 0:34:13.685
<v Speaker 1>clinical trials have already finished and the results are promising,

0:34:14.445 --> 0:34:16.365
<v Speaker 1>but the new vaccine still needs to go through the

0:34:16.365 --> 0:34:21.925
<v Speaker 1>big phase three trials. If they go well, ndv HXBS

0:34:22.205 --> 0:34:25.285
<v Speaker 1>may end up being, at least for some countries, the

0:34:25.325 --> 0:34:37.045
<v Speaker 1>future of coronavirus vaccines. That brings us to the end

0:34:37.085 --> 0:34:40.925
<v Speaker 1>of this podcast. We started millions of years ago and

0:34:41.045 --> 0:34:44.925
<v Speaker 1>finished still in a pandemic with no clear end. Variants

0:34:44.925 --> 0:34:47.405
<v Speaker 1>are here, people are still getting sick and dying, and

0:34:47.525 --> 0:34:49.765
<v Speaker 1>life is still weird and annoying even if you're healthy.

0:34:51.165 --> 0:34:54.125
<v Speaker 1>I'm personally super impressed with all the incredible researchers and

0:34:54.205 --> 0:34:58.365
<v Speaker 1>volunteers and historians we heard from and about. I mean,

0:34:58.525 --> 0:35:00.565
<v Speaker 1>how the hell the first human being figured out that

0:35:00.605 --> 0:35:02.885
<v Speaker 1>giving someone a little bit of a disease to protect

0:35:02.885 --> 0:35:05.085
<v Speaker 1>from a lot of it hundreds, if not thousands of

0:35:05.165 --> 0:35:09.085
<v Speaker 1>years go, is just mind blowing to me. But just

0:35:09.125 --> 0:35:12.005
<v Speaker 1>a reminder. This is not the entire story. It's just

0:35:12.045 --> 0:35:14.125
<v Speaker 1>what I've been able to cover in this relatively short

0:35:14.205 --> 0:35:17.405
<v Speaker 1>ten parts series. There are a ton of people who

0:35:17.405 --> 0:35:21.285
<v Speaker 1>have made important contributions to so many vaccines, lots of

0:35:21.405 --> 0:35:23.845
<v Speaker 1>names that have gone unsaid by me and by others,

0:35:25.285 --> 0:35:27.405
<v Speaker 1>lots of people whose work has helped save hundreds of

0:35:27.405 --> 0:35:30.245
<v Speaker 1>millions of lives, and also hundreds of millions of lives

0:35:30.245 --> 0:35:33.365
<v Speaker 1>that have been lost along the way. As of today,

0:35:33.925 --> 0:35:36.765
<v Speaker 1>four point seven seven million people have died of COVID,

0:35:38.725 --> 0:35:42.445
<v Speaker 1>and they include, just to name a few, Darlene Ray, Rose,

0:35:42.485 --> 0:35:47.605
<v Speaker 1>Marie Fazzio, Ron Kieran, Adel Cercelli, Kenny Cassina, Doctor Ferkin,

0:35:47.685 --> 0:35:53.605
<v Speaker 1>Ali Sadiki, Patricia Francis Prescott, Mark Dvorschak, and my aunt Rifka.

0:35:55.685 --> 0:35:57.885
<v Speaker 1>A COVID vaccine could have saved almost all of those

0:35:57.885 --> 0:36:01.565
<v Speaker 1>four point seven seven million people, just like a smallpox

0:36:01.645 --> 0:36:04.605
<v Speaker 1>vaccine has saved who the hell knows how many people.

0:36:05.805 --> 0:36:08.125
<v Speaker 1>My hope is that when the next pandemic. Hits will

0:36:08.165 --> 0:36:10.565
<v Speaker 1>be able to create a vaccine even faster and get

0:36:10.565 --> 0:36:15.165
<v Speaker 1>it to more people faster, but that'll depend on more research,

0:36:15.405 --> 0:36:18.965
<v Speaker 1>more domestic and international cooperation, and more agreement in the

0:36:19.005 --> 0:36:22.005
<v Speaker 1>world in general. There's just no way to protect the

0:36:22.045 --> 0:36:26.325
<v Speaker 1>world unless the whole world is protected. Now, let's end

0:36:26.325 --> 0:36:29.285
<v Speaker 1>this thing with another dip into the recent past. March

0:36:29.365 --> 0:36:33.365
<v Speaker 1>twenty seven, twenty one, the first Boutanese person is about

0:36:33.405 --> 0:36:37.365
<v Speaker 1>to get her first shot of a COVID vaccine. Her

0:36:37.405 --> 0:36:40.565
<v Speaker 1>name is Ninda, which roughly translates to the Sun and

0:36:40.605 --> 0:36:43.485
<v Speaker 1>the Moon. She's thirty years old and was born in

0:36:43.485 --> 0:36:46.285
<v Speaker 1>the Year of the Monkey. The nurse who will administer

0:36:46.325 --> 0:36:49.205
<v Speaker 1>her shot is also thirty years old and also born

0:36:49.245 --> 0:36:52.845
<v Speaker 1>in the Year of the Monkey. After being picked to

0:36:52.845 --> 0:36:55.045
<v Speaker 1>be the first person in her country to be vaccinated,

0:36:55.765 --> 0:36:59.685
<v Speaker 1>Ninda says, let the small step of mind today help

0:36:59.765 --> 0:37:04.525
<v Speaker 1>us all prevail through this illness. She sits with her

0:37:04.565 --> 0:37:07.405
<v Speaker 1>back to her room full of massed healthcare workers and monks,

0:37:08.045 --> 0:37:20.845
<v Speaker 1>and they pray together until she gets her shot. Long

0:37:20.885 --> 0:37:23.885
<v Speaker 1>Shot is a production of School of Humans and iHeartRadio.

0:37:25.125 --> 0:37:29.205
<v Speaker 1>Today's episode was produced, written and narrated by me Sean Ravie.

0:37:30.005 --> 0:37:33.645
<v Speaker 1>A Co producer is Gabby Watts. Special thanks to Noel

0:37:33.685 --> 0:37:39.085
<v Speaker 1>Brown and iHeartRadio. Executive producers are Virginia Prescott, Elsie Crowley,

0:37:39.165 --> 0:37:42.885
<v Speaker 1>and Brandon Barr. Fact Checking for this episode is by

0:37:42.885 --> 0:37:47.365
<v Speaker 1>Adam Shadow. Long Shot was scored by Jason Shannon. The

0:37:47.445 --> 0:37:50.365
<v Speaker 1>score was mixed by Vick Stafford. Sound design and audio

0:37:50.405 --> 0:38:01.445
<v Speaker 1>mixed was by Harber Harris with Tune Welders School of

0:38:01.485 --> 0:38:01.925
<v Speaker 1>Humans