WEBVTT - Ep 24 Zika: Rumors and Rumours

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<v Speaker 1>The real and terrible consequence could be seen on CT scans,

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<v Speaker 1>MRIs and ultrasounds. Those tiny heads contain shrunken brains. Sometimes

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<v Speaker 1>just the funnel lobes, the seat of decision making, of speech,

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<v Speaker 1>of intelligence, of humor were atrophied, showing abnormally large dark ventricles,

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<v Speaker 1>the hollow internal spaces that are supposed to appear smaller

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<v Speaker 1>and smaller as the brain grows. Sometimes all that was

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<v Speaker 1>left was the bulb above the brain stem, where the

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<v Speaker 1>most basic functions like breathing and digestion reside. Around it

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<v Speaker 1>would be blank space filled with cerebrospinal fluid. Usually the

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<v Speaker 1>skull had not completely collapsed, but neither had it pushed

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<v Speaker 1>out to its full size by the growing brain, and

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<v Speaker 1>the brain would be smooth, looking more like a small liver,

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<v Speaker 1>with none of the deep folds and fissures that every

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<v Speaker 1>growing brain should develop as it folds in upon itself

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<v Speaker 1>to pack more thinking power into a small space. That

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<v Speaker 1>smooth brain baby might be more than comatose. Maybe it

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<v Speaker 1>could breathe, could blink, could digest, could live, But maybe

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<v Speaker 1>that baby could not chew food or see the spoon

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<v Speaker 1>or the breast coming toward its mouth, certainly it would

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<v Speaker 1>never walk, probably never crawl, or maybe would never do

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<v Speaker 1>more than roll from side to side, unable to control

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<v Speaker 1>its contorted arms and legs enough to even turn over.

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<v Speaker 1>Hospital hallways doctors remembered in Brazil were lined with mothers

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<v Speaker 1>who resembled ghosts. They were in shock, mute, expressionless, bleak.

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<v Speaker 1>Some were just teenagers. Some had ridden buses for hours

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<v Speaker 1>and were too poor to buy food. As the hours

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<v Speaker 1>waiting to be seen stretched on, and there were so

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<v Speaker 1>many of them, one mother looked up from her son's

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<v Speaker 1>face to ask doctor, his head is going to grow right?

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<v Speaker 2>Jeez.

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<v Speaker 3>Yeah, it was really intense, but that's also the reality. Yeah, Itzica,

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<v Speaker 3>it's dang.

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<v Speaker 2>Yeah, it's awful, It's really awful.

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<v Speaker 3>Yeah.

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<v Speaker 1>So that firsthand, that really horrible, sad description is from

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<v Speaker 1>a book called Zeka by Donald Neil.

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<v Speaker 3>Okay, well, hi, hi, we always managed to start on

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<v Speaker 3>really great notes.

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<v Speaker 2>I mean, this podcast, what's this podcast about?

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<v Speaker 1>Oh?

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<v Speaker 3>Yes, yeah, I'm Aaron Welsh and I'm Erin Almond Updyke

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<v Speaker 3>and this is this podcast will kill You And today

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<v Speaker 3>we're talking about none other than zeca virus heavy.

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<v Speaker 1>Yeah, well they all kind of are.

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<v Speaker 2>Really it's true.

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<v Speaker 1>Okay, Well, so before we move on to hear more

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<v Speaker 1>about just how awful zekea is, let's arm ourselves with

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<v Speaker 1>a stiff drink. Let's do that or a placey berita.

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<v Speaker 1>So it's quarantining time.

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<v Speaker 3>I believe it is definitely quarantine time. So this week

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<v Speaker 3>we're drinking the Pink Eye of the Tiger.

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<v Speaker 2>And why is it called that?

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<v Speaker 3>Well, in part as we'll discuss in the biology because

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<v Speaker 3>zeka is transmitted by the tiger mosquito, and in part

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<v Speaker 3>because one of the symptoms is conjunctividis a haha, pany

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<v Speaker 3>as heck today erin just wonderful. So what is in

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<v Speaker 3>Pink Eye of the Tiger?

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<v Speaker 2>Okay?

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<v Speaker 1>So it is a little bit of raspberry sorbet, a

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<v Speaker 1>little bit of mango and passion fruit infused.

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<v Speaker 3>Vodka thanks to my brother Josh, who can't hear this,

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<v Speaker 3>but I'll thank him anyways for that.

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<v Speaker 1>Gift, and then you top it up with some champagne.

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<v Speaker 3>Yum.

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<v Speaker 2>Yeah, it's actually quite delicious.

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<v Speaker 3>And as always, we'll post the recipe for our quarantini

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<v Speaker 3>as well as the non alcoholic version our placey ba

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<v Speaker 3>Rita on all of our social media channels. So TPWKY

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<v Speaker 3>on Twitter and this podcast will kill You on Facebook

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<v Speaker 3>and Instagram as well as our website.

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<v Speaker 2>Cool.

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<v Speaker 1>I want to hear about Zica. I want to hear

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<v Speaker 1>about this is. This is a bizarre little virus.

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<v Speaker 3>It's very bizarre, and it's new for many of us.

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<v Speaker 3>So let's get into it. I'm excited to tell you

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<v Speaker 3>about the biology.

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<v Speaker 2>So we've actually.

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<v Speaker 3>Gotten a fair number of requests for zica, which is exciting.

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<v Speaker 3>And what I think is so interesting and I can't

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<v Speaker 3>wait aron to hear about the history of it, is

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<v Speaker 3>that if we had talked about I mean, if we

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<v Speaker 3>had started this podcast a few years ago, I don't

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<v Speaker 3>even think we would have proposed doing zeica virus because

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<v Speaker 3>I don't even know that I heard of it before,

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<v Speaker 3>like twenty fifteen.

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<v Speaker 2>No, yeah, definitely not.

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<v Speaker 3>It was not on almost anyone's radar.

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<v Speaker 2>Yeah.

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<v Speaker 3>So it's in that way, it's really exciting because so

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<v Speaker 3>much of zica is just brand spanking new.

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<v Speaker 2>Yeah.

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<v Speaker 3>I mean, it's still happening, right, But I don't want

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<v Speaker 3>to steal your thunder of oh the history though you

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<v Speaker 3>Let's just talk about the virus itself and how it

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<v Speaker 3>makes you sick. Okay, So Zeca virus is a virus

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<v Speaker 3>that very obvious it is. You know, we could go crazy,

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<v Speaker 3>you know, call something Zeka virus and have it be

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<v Speaker 3>a No, it's a virus. It's in the family Flavivii.

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<v Speaker 3>Day and so perhaps some really deep listeners or recent

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<v Speaker 3>binge listeners might remember another disease we've covered that's in

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<v Speaker 3>this same family. Aaron, do you remember this.

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<v Speaker 1>Is gonna be embarrassing? Is it yellow fever?

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<v Speaker 3>It's a yellow fever?

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<v Speaker 1>Okay, good, thank great, Yes, I was like, the amount

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<v Speaker 1>of stuff I can forget is impressive.

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<v Speaker 3>Oh, same, But you got it right. It's related to

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<v Speaker 3>yellow fever, also to Dangay, Japanese encephalitis, West Nile, bunch

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<v Speaker 3>of other viruses. So it's an RNA virus, and like

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<v Speaker 3>all of those other viruses that I mentioned, it's transmitted

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<v Speaker 3>by mosquitoes. Zeka happens to be transmitted by the same

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<v Speaker 3>mosquitoes that transmit yellow fever and Dangay virus and chicken gunya.

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<v Speaker 3>But those are all different stories. And that's eighties a

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<v Speaker 3>jypdi and eighties albapictus, So that's the yellow fever mosquito

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<v Speaker 3>and the tiger mosquito, both of which if you live

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<v Speaker 3>in a place where they exist, then you've definitely noticed

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<v Speaker 3>them because they're gnarly bitters. They bite humans like prolifically.

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<v Speaker 3>They love humans and they bite hard and it hurts.

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<v Speaker 3>And they're big and black with white stripes on their legs.

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<v Speaker 2>Oh yeah, and they bite often.

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<v Speaker 3>They bite often, and they also are like daytime biers,

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<v Speaker 3>so they'll bite you all day long. They're not like

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<v Speaker 3>other mosquitoes that will only bite at like dawn or dusk.

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<v Speaker 2>Or crepuscular one of my favorite words.

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<v Speaker 3>It's a good word. And so diseases that are spread

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<v Speaker 3>by these mosquitoes, like yellow fever dangay zica, they're especially

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<v Speaker 3>difficult problems to deal with, in part because of how

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<v Speaker 3>well adapted these two species of mosquito are to the

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<v Speaker 3>urban and peri urban environment and how much they love

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<v Speaker 3>humans and the environments that we create for them. So

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<v Speaker 3>it's really fun when you combine that with climate change

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<v Speaker 3>and how they're expanding their range. It's these diseases aren't

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<v Speaker 3>going to stop being an issue anytime soon.

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<v Speaker 1>And urbanization and change and clear the things, all the things.

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<v Speaker 3>It's just so fun.

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<v Speaker 1>Good news from our corner, everyone right, job security?

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<v Speaker 2>Okay.

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<v Speaker 3>So one of the things though, although ZEKA is transmitted

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<v Speaker 3>primarily by mosquitoes, one of the things that we discovered

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<v Speaker 3>relatively early on during the most recent outbreak that's pretty

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<v Speaker 3>novel and very scary, is that it can also be

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<v Speaker 3>transmitted sexually.

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<v Speaker 2>Oh yeah, so the.

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<v Speaker 3>Virus somehow seems to be able to live in especially

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<v Speaker 3>the male reproductive tract. I don't know exactly where. I

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<v Speaker 3>don't think we know as science exactly where in the

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<v Speaker 3>reproductive tract of humans it happens to live, but it

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<v Speaker 3>can live there and be transmitted weeks or even months

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<v Speaker 3>after a person was infected. And most of the cases

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<v Speaker 3>of sexual transmission have been from symptomatic people, and usually

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<v Speaker 3>it's transmitted via semen, But you can also transmit it

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<v Speaker 3>to your partner even if you've been asymptomatic, which is

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<v Speaker 3>really scary because it means that you could potentially be

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<v Speaker 3>a carrier, never know that you're infected, and then end

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<v Speaker 3>up transmitting it to a partner. Yeah, and this is Yeah,

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<v Speaker 3>it's something that's pretty novel and quite frankly scary in

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<v Speaker 3>looking at something that's normally a vector born disease because

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<v Speaker 3>It really adds a whole nother layer of complexity to

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<v Speaker 3>control efforts, right, which are already really difficult when you're

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<v Speaker 3>dealing with vector born diseases.

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<v Speaker 2>Yeah, I can't believe how long it lives.

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<v Speaker 1>I've read something about someone who it was circulating. They

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<v Speaker 1>found traces of the virus in their semen sixty two

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<v Speaker 1>days after exposure or something like that, or after first

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<v Speaker 1>being positive.

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<v Speaker 3>And the thing is that since we don't know, like

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<v Speaker 3>there's so much that we don't know about this virus.

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<v Speaker 3>We don't know, like, is sixty two days the average

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<v Speaker 3>or is that the maximum? Right, we don't know, or

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<v Speaker 3>is that just like maybe on the low end, maybe

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<v Speaker 3>it could live for six months or a year, who knows.

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<v Speaker 3>We don't know at this point.

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<v Speaker 2>Oh man.

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<v Speaker 3>And there's one other way that zica can be transmitted,

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<v Speaker 3>and that's vertically. So vertical transmission is from mother to baby,

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<v Speaker 3>and so in this case, Zica can actually cross the

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<v Speaker 3>placenta and be transmitted to the fetus during gestation. And

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<v Speaker 3>while this is not uncommon for viruses in general, there's

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<v Speaker 3>a number of infections, viral and bacterial that can cross

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<v Speaker 3>the placenta, it wasn't known at all that zica could

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<v Speaker 3>be transmitted this way until very recently, and as far

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<v Speaker 3>as I know, it's not that common for mosquito or

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<v Speaker 3>vector born diseases to be able to cross the placenta.

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<v Speaker 2>Yeah, I don't think so.

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<v Speaker 3>Yeah, but it's not it's not that out there. Just

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<v Speaker 3>in terms of a biology perspective, there's a number of

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<v Speaker 3>viruses and bacteria that can that can cross the placenta.

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<v Speaker 3>So those are all the ways that you can get

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<v Speaker 3>infected with ZICCA.

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<v Speaker 2>Fantastic.

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<v Speaker 3>So the question is what happens once you get in affected?

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<v Speaker 2>Yeah?

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<v Speaker 3>Yeah, so okay, So the most common way that you

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<v Speaker 3>get infected, right is via mosquito. So if you get

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<v Speaker 3>bitten with an infected mosquito, the incubation period, which is

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<v Speaker 3>again the time from when the mosquito bites you and

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<v Speaker 3>dumps a bunch of virus into your bloodstream until the

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<v Speaker 3>time that you show symptoms. That time period is usually

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<v Speaker 3>between three and fourteen days. So usually within two weeks

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<v Speaker 3>you'll start to show symptoms. It's again a long span,

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<v Speaker 3>it's a pretty long span. Yeah, but again that has

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<v Speaker 3>to do in part with just your immune system and

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<v Speaker 3>then in part with how many viruses was the mosquito

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<v Speaker 3>infected with.

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<v Speaker 2>And how much how long it was feeding on you? Yeah,

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<v Speaker 2>it's all this, all the things.

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<v Speaker 3>So the symptoms in this case are actually very mild fever, rash,

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<v Speaker 3>and the rash is one of the features that seems

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<v Speaker 3>pretty prominent in zecavirus compared to other flavaviruses, Like most

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<v Speaker 3>of the time, if you're going to have someymptoms with ZICA,

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<v Speaker 3>you'll probably have a rash. Also conjunctivitis, hence the.

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<v Speaker 2>Name of our quarantine pink guy.

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<v Speaker 3>Pink iy raise your head if you had pink eye

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<v Speaker 3>as a kid. Who didn't, Oh yeah, everyone did, right,

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<v Speaker 3>It wasn't We weren't just filthy. I don't know, let

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<v Speaker 3>us know people, Okay, So those are really common. Also,

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<v Speaker 3>muscle and joint pain and that's something that's really common

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<v Speaker 3>with a lot of flavaviruses, malaise, headache, These are all

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<v Speaker 3>things that are pretty typical if you get any kind

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<v Speaker 3>of viral infection, and they're also very nondescript, which you

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<v Speaker 3>can imagine makes it very difficult to diagnose yep, right,

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<v Speaker 3>sure does. And symptoms are pretty self limited. They usually

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<v Speaker 3>only last between two and seven days, so we're talking

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<v Speaker 3>like the flu length, but not even as severe as

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<v Speaker 3>the flu, probably, right. But what's really important is that

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<v Speaker 3>up to eighty percent of people who are infected with

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<v Speaker 3>zeca virus don't ever develop any symptoms.

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<v Speaker 1>That's yeah, I've read that. That's amazing.

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<v Speaker 3>Yeah, yeah, and it means that, I mean, it just

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<v Speaker 3>makes it so so difficult to try and get a

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<v Speaker 3>handle on how many people have been infected and everything,

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<v Speaker 3>because if you've got eighty percent of people never showing

0:14:17.240 --> 0:14:22.600
<v Speaker 3>symptoms ooof it makes it tough. And so in general,

0:14:24.000 --> 0:14:27.440
<v Speaker 3>this infection happens in a very similar way as any

0:14:27.440 --> 0:14:31.800
<v Speaker 3>other flava virus or really any other virus or mosquito

0:14:31.800 --> 0:14:33.960
<v Speaker 3>born virus, and that is, the virus gets into your

0:14:33.960 --> 0:14:36.600
<v Speaker 3>skin because the mosquito pokes a hole in it. It

0:14:36.680 --> 0:14:39.800
<v Speaker 3>goes into your lymph nodes and then into your bloodstream

0:14:41.040 --> 0:14:45.720
<v Speaker 3>and it replicates and it invades cells. So how exactly

0:14:46.000 --> 0:14:52.560
<v Speaker 3>zecavirus infects your specific cells and causes damage we don't

0:14:52.720 --> 0:14:56.240
<v Speaker 3>entirely know. So we don't know the exact path of

0:14:56.280 --> 0:14:58.720
<v Speaker 3>physiology of zica virus yet.

0:15:00.160 --> 0:15:02.040
<v Speaker 1>That it makes it a little bit harder to target

0:15:02.920 --> 0:15:06.400
<v Speaker 1>and its acts differently or it's suspected to act differently

0:15:06.440 --> 0:15:08.280
<v Speaker 1>than other flavaviruses.

0:15:11.080 --> 0:15:16.680
<v Speaker 3>I don't know the answer to that question, okay, But

0:15:17.840 --> 0:15:23.360
<v Speaker 3>Zica virus particles can be found in almost every bodily

0:15:23.400 --> 0:15:27.120
<v Speaker 3>fluid that we have tested so far. So if you

0:15:27.200 --> 0:15:29.680
<v Speaker 3>test the blood of someone who's been infected with Zica,

0:15:29.760 --> 0:15:32.400
<v Speaker 3>you'll probably find Zeca virus. If you test their semen,

0:15:32.680 --> 0:15:36.760
<v Speaker 3>if you test vaginal secretions, if you test their eye fluid,

0:15:37.000 --> 0:15:40.480
<v Speaker 3>if you test their saliva, if you test almost any

0:15:40.880 --> 0:15:46.000
<v Speaker 3>bodily fluid or almost any organ you'll probably find Zeca

0:15:46.120 --> 0:15:47.240
<v Speaker 3>virus particles.

0:15:48.080 --> 0:15:53.040
<v Speaker 2>I have a question about bodily fluids. Okay. Do boogers

0:15:53.160 --> 0:15:55.880
<v Speaker 2>and snot count totes? Yeah? Okay?

0:15:56.600 --> 0:16:01.840
<v Speaker 3>And so on top of this sort of general nondescript symptoms,

0:16:02.080 --> 0:16:05.920
<v Speaker 3>there are a number of different complications that can arise

0:16:05.960 --> 0:16:09.000
<v Speaker 3>as a result of Zica infection. So there's an increased

0:16:09.080 --> 0:16:15.680
<v Speaker 3>risk for future neurologic complications like gion beret syndrome, myelitis,

0:16:16.840 --> 0:16:21.680
<v Speaker 3>general nerve issues, and also things like meningitis are possible

0:16:21.720 --> 0:16:25.080
<v Speaker 3>as a result of Zeica virus infection. Right, But the

0:16:25.080 --> 0:16:28.680
<v Speaker 3>biggest complication that we mentioned in our first hand account

0:16:28.720 --> 0:16:32.640
<v Speaker 3>and that people has probably become. The most famous is

0:16:32.800 --> 0:16:39.120
<v Speaker 3>that five to fifteen percent of infants born to pregnant

0:16:39.120 --> 0:16:42.720
<v Speaker 3>women who are infected with ZICA during their pregnancy have

0:16:42.840 --> 0:16:48.160
<v Speaker 3>evidence of complications directly related to Zica virus infection. These

0:16:48.200 --> 0:16:53.000
<v Speaker 3>complications include intra uterine growth restriction, which means the baby's

0:16:53.040 --> 0:16:56.000
<v Speaker 3>not able to grow as big as it should, early

0:16:56.040 --> 0:17:02.040
<v Speaker 3>pregnancy loss also known as spontaneous abortion, and microcephaly, which

0:17:02.120 --> 0:17:06.120
<v Speaker 3>is a small brain that's inadequately developed and in some

0:17:06.200 --> 0:17:11.400
<v Speaker 3>cases can be incompatible with life. So this is sort

0:17:11.440 --> 0:17:15.440
<v Speaker 3>of the most extreme complication and the most devastating complication

0:17:15.560 --> 0:17:20.000
<v Speaker 3>that has come from ZICA. The exact mechanism of how

0:17:20.040 --> 0:17:22.680
<v Speaker 3>this happens is not clear.

0:17:23.240 --> 0:17:26.600
<v Speaker 2>Are their thoughts as to what it might be well.

0:17:27.000 --> 0:17:31.280
<v Speaker 3>So shortly after the connections between zecavirus and microcephaly were

0:17:31.400 --> 0:17:33.240
<v Speaker 3>sort of brought to light, there was a lot of

0:17:33.280 --> 0:17:38.119
<v Speaker 3>pushback because it's only five to fifteen percent of cases,

0:17:38.600 --> 0:17:42.560
<v Speaker 3>and that seems pretty low, and in some areas the

0:17:42.560 --> 0:17:47.000
<v Speaker 3>baseline levels of microcephaly weren't necessarily known at the time,

0:17:47.680 --> 0:17:51.399
<v Speaker 3>But since then, multiple different animal models have shown that

0:17:51.520 --> 0:17:54.480
<v Speaker 3>ZEKA is capable of crossing the placenta and in mouse

0:17:54.520 --> 0:17:58.960
<v Speaker 3>models can cause fetal defects. I believe in monkey models

0:17:59.000 --> 0:18:02.800
<v Speaker 3>non human primate models as well. So at this point

0:18:02.800 --> 0:18:05.320
<v Speaker 3>the link is pretty clear, but we don't really know

0:18:06.040 --> 0:18:09.760
<v Speaker 3>exactly what is happening. Besides that Zica is able to

0:18:10.720 --> 0:18:14.400
<v Speaker 3>invade across the placenta and then infect the fetus.

0:18:15.320 --> 0:18:19.040
<v Speaker 1>Okay, yeah, you might have said this, but I don't

0:18:19.080 --> 0:18:24.840
<v Speaker 1>remember any trimester. Is it any trimester for infection? That's dangerous,

0:18:26.160 --> 0:18:26.840
<v Speaker 1>great question.

0:18:27.800 --> 0:18:31.560
<v Speaker 3>So the number or the percentage of birth's effects is

0:18:31.680 --> 0:18:35.119
<v Speaker 3>highest in women infected during the first trimester, but it

0:18:35.200 --> 0:18:38.199
<v Speaker 3>is possible to end up having a baby born with

0:18:38.240 --> 0:18:41.760
<v Speaker 3>congenital malformation if you're infected at any point in the pregnancy.

0:18:42.040 --> 0:18:43.480
<v Speaker 2>Okay, but what I think is.

0:18:43.480 --> 0:18:47.239
<v Speaker 3>Scary is that when you combine this complication with the

0:18:47.240 --> 0:18:51.800
<v Speaker 3>fact that Zica can be transmitted sexually, that's a pretty

0:18:52.080 --> 0:18:59.440
<v Speaker 3>sinister picture of a disease. Yet me, it's pretty depressing.

0:19:02.200 --> 0:19:05.320
<v Speaker 3>That's all I've got. That's zeka virus.

0:19:05.920 --> 0:19:09.480
<v Speaker 1>It's a scary and really tragic one.

0:19:10.240 --> 0:19:12.360
<v Speaker 2>It really is. It really is.

0:19:13.080 --> 0:19:19.240
<v Speaker 3>Yeah, So what the heck, Aaron, what's going on? How

0:19:19.240 --> 0:19:21.040
<v Speaker 3>do we get here? Where did this thing come from?

0:19:21.359 --> 0:19:23.720
<v Speaker 3>How did it just pop up in twenty sixteen, nonet

0:19:23.720 --> 0:19:26.120
<v Speaker 3>even heard of it? Is it brand new?

0:19:27.640 --> 0:20:02.919
<v Speaker 1>Well? The Romans called it just kidding, Okay. I feel

0:20:02.920 --> 0:20:05.879
<v Speaker 1>like we all know the history of Zica, or at

0:20:05.960 --> 0:20:08.800
<v Speaker 1>least a big part of it. I mean, we've we've

0:20:08.880 --> 0:20:12.000
<v Speaker 1>lived it more or less like we've been there for it.

0:20:12.880 --> 0:20:17.360
<v Speaker 1>Maybe not in the epicenter, but we remember the headlines

0:20:17.359 --> 0:20:22.920
<v Speaker 1>at least. And I can remember the panic and headlines

0:20:22.960 --> 0:20:26.399
<v Speaker 1>of twenty fifteen and twenty sixteen, and I'm sure you

0:20:26.440 --> 0:20:29.840
<v Speaker 1>do too. I was living in Panama for much of

0:20:29.880 --> 0:20:32.800
<v Speaker 1>the peak of media hysteria, and I remember all sorts

0:20:32.880 --> 0:20:36.720
<v Speaker 1>of rumors, just among you know, in in Gamboa about

0:20:36.720 --> 0:20:40.160
<v Speaker 1>the danger of Zica and how pregnant female researchers weren't

0:20:40.160 --> 0:20:43.240
<v Speaker 1>going to be allowed to conduct research in Panama. And

0:20:43.320 --> 0:20:45.679
<v Speaker 1>I think that the week I was visiting sam Blos,

0:20:45.720 --> 0:20:48.560
<v Speaker 1>there was an outbreak of zica declared there like that

0:20:48.760 --> 0:20:52.159
<v Speaker 1>was oh Zeca and plam Blas, And I was like, oh, okay,

0:20:53.200 --> 0:20:56.439
<v Speaker 1>at least it's mild, you know, something like that stupid

0:20:56.480 --> 0:20:57.399
<v Speaker 1>that I was thinking.

0:20:57.200 --> 0:20:59.080
<v Speaker 3>Oh yeah, that's I was the same way. I was like, man,

0:20:59.119 --> 0:21:01.359
<v Speaker 3>maybe I should just try and get Zeka now. So

0:21:01.440 --> 0:21:02.760
<v Speaker 3>then then I've had it.

0:21:03.520 --> 0:21:06.520
<v Speaker 1>Yeah, I mean, I really wonder if we tested antibodies

0:21:06.560 --> 0:21:09.000
<v Speaker 1>whether we would have been show exposure.

0:21:09.160 --> 0:21:12.240
<v Speaker 3>Actually I was tested because if you give blood in

0:21:12.280 --> 0:21:14.880
<v Speaker 3>the US now, they test you for zica and they

0:21:14.920 --> 0:21:17.199
<v Speaker 3>call you if it's positive. And mine was negative. So

0:21:17.640 --> 0:21:18.400
<v Speaker 3>I didn't get zica.

0:21:18.440 --> 0:21:19.600
<v Speaker 2>Okay, so you never got zeka.

0:21:19.760 --> 0:21:20.680
<v Speaker 3>Yeah.

0:21:20.920 --> 0:21:23.000
<v Speaker 2>So for every disease or.

0:21:23.000 --> 0:21:25.520
<v Speaker 1>Topic that we cover, I try to ask myself the question,

0:21:25.840 --> 0:21:30.160
<v Speaker 1>what does this specific disease or outbreak teach us about

0:21:30.280 --> 0:21:35.280
<v Speaker 1>epidemic response or the nature of disease, or often humanity itself.

0:21:35.920 --> 0:21:38.480
<v Speaker 1>And I think in this way, Zeka is one of

0:21:38.480 --> 0:21:42.439
<v Speaker 1>the first epidemics to show us how fast information and

0:21:42.600 --> 0:21:47.600
<v Speaker 1>especially misinformation can spread. In many ways, though that just

0:21:47.680 --> 0:21:52.080
<v Speaker 1>kind of shows us how little things change, rumors and

0:21:52.119 --> 0:21:56.720
<v Speaker 1>conspiracies thrive during epidemics. Someone's always wanting to go against

0:21:56.840 --> 0:22:02.480
<v Speaker 1>quote conventional wisdom. Sometimes they're right, times they're not, and

0:22:03.480 --> 0:22:07.280
<v Speaker 1>it just moves at a faster pace and with a

0:22:07.320 --> 0:22:09.600
<v Speaker 1>higher turnover in this Internet.

0:22:09.600 --> 0:22:12.000
<v Speaker 3>Age, Yeah, thanks Twitter as.

0:22:12.080 --> 0:22:15.520
<v Speaker 1>Age of Twitter, and so does the virus itself thanks

0:22:15.560 --> 0:22:16.520
<v Speaker 1>to global travel.

0:22:16.640 --> 0:22:17.920
<v Speaker 3>Yeah.

0:22:18.280 --> 0:22:20.240
<v Speaker 1>Even though the first time that many of us heard

0:22:20.280 --> 0:22:23.240
<v Speaker 1>the word zica was probably in twenty fifteen in connection

0:22:23.320 --> 0:22:25.440
<v Speaker 1>with the words Microcephae and Brazil.

0:22:26.000 --> 0:22:27.280
<v Speaker 2>The Zeica virus had.

0:22:27.119 --> 0:22:31.560
<v Speaker 1>Actually been known for almost seventy years.

0:22:32.359 --> 0:22:37.000
<v Speaker 3>Amazing. I didn't know it was seventy years. I knew

0:22:37.040 --> 0:22:38.960
<v Speaker 3>it was a long time, but dang.

0:22:39.320 --> 0:22:41.080
<v Speaker 2>Yeah, oh it's really Yeah.

0:22:41.840 --> 0:22:44.080
<v Speaker 1>Did you come across the meeting of Zica and any

0:22:44.080 --> 0:22:44.679
<v Speaker 1>of your readings?

0:22:44.920 --> 0:22:47.920
<v Speaker 2>No? Okay, My favorite.

0:22:47.640 --> 0:22:53.320
<v Speaker 1>Part it actually means overgrown what and is Yeah, So

0:22:53.400 --> 0:22:56.919
<v Speaker 1>it's taken from Zeica forest and Uganda, which is close

0:22:56.960 --> 0:23:01.959
<v Speaker 1>to and Tebbi, where the Rockefeller found established its virus

0:23:02.000 --> 0:23:06.800
<v Speaker 1>research Institute in the nineteen thirties. The swampy hot Zekea

0:23:06.920 --> 0:23:09.399
<v Speaker 1>forest was the perfect place to accomplish some of the

0:23:09.400 --> 0:23:14.320
<v Speaker 1>goals the research institute had laid out, including understanding mesquito ecology,

0:23:14.840 --> 0:23:18.119
<v Speaker 1>exploring which animals are susceptible to different viruses, and the

0:23:18.160 --> 0:23:20.679
<v Speaker 1>big one, discovering new viruses.

0:23:22.680 --> 0:23:26.200
<v Speaker 2>And this is a common theme in so many.

0:23:26.040 --> 0:23:30.880
<v Speaker 1>Early quote global health institutes. The primary focus was research,

0:23:30.960 --> 0:23:35.880
<v Speaker 1>not intervention. That brings with it a whole other set

0:23:35.920 --> 0:23:41.240
<v Speaker 1>of issues about the ethics of early global health research books. Anyway,

0:23:42.080 --> 0:23:46.240
<v Speaker 1>So to conduct this research, scientists suspended cages containing sentinel

0:23:46.280 --> 0:23:48.919
<v Speaker 1>monkeys of various species in the forest.

0:23:48.640 --> 0:23:49.120
<v Speaker 2>Can't be.

0:23:50.680 --> 0:23:53.760
<v Speaker 1>Then they would pull them down occasionally for inspection and

0:23:53.800 --> 0:23:59.080
<v Speaker 1>temperature taking. Sounds like a really wonderful way to live alife.

0:23:58.760 --> 0:24:02.359
<v Speaker 3>Right, My God has to be a monkey in the

0:24:02.440 --> 0:24:06.440
<v Speaker 3>forest so you can like see your friends and you're

0:24:06.720 --> 0:24:08.680
<v Speaker 3>in a cage your whole life.

0:24:08.840 --> 0:24:12.719
<v Speaker 1>Well, and some weren't from Uganda, some were from various

0:24:12.760 --> 0:24:19.320
<v Speaker 1>Asian countries, so extra cool, even better. Yeah, one day,

0:24:19.880 --> 0:24:23.119
<v Speaker 1>April nineteenth, nineteen forty seven, to be exact, because you

0:24:23.160 --> 0:24:26.480
<v Speaker 1>know how I like to be exact, of course, a

0:24:26.600 --> 0:24:30.320
<v Speaker 1>monkey with the charming name of Rees's seven sixty six

0:24:30.960 --> 0:24:33.639
<v Speaker 1>was observed to have a high fever one hundred and

0:24:33.680 --> 0:24:37.560
<v Speaker 1>four degrees fahrenheit forty degrees celsius now that I'm in Finland.

0:24:38.920 --> 0:24:42.879
<v Speaker 1>But blood was drawn and processed, and in it scientists

0:24:42.920 --> 0:24:47.560
<v Speaker 1>found what they called a filterable transmissible agent, which back

0:24:47.600 --> 0:24:50.719
<v Speaker 1>then often meant it was a virus, something they couldn't

0:24:50.720 --> 0:24:55.920
<v Speaker 1>easily culture. But this still left many questions. First, was

0:24:55.960 --> 0:24:59.960
<v Speaker 1>it a new virus meaning undiscovered? And was it mosquito born?

0:25:00.760 --> 0:25:03.000
<v Speaker 1>To answer the second question, they had to collect many

0:25:03.040 --> 0:25:06.040
<v Speaker 1>mosquitoes from the same areas that Reese's seven sixty six

0:25:06.119 --> 0:25:09.560
<v Speaker 1>had been kept, and then test whether these mosquitoes carried

0:25:09.600 --> 0:25:13.159
<v Speaker 1>anything resembling this virus, which meant grinding up and filtering

0:25:13.200 --> 0:25:15.960
<v Speaker 1>the mosquitoes and injecting the slurry into the mice or

0:25:15.960 --> 0:25:19.280
<v Speaker 1>monkeys they had on hand, and then comparing that to

0:25:19.320 --> 0:25:22.800
<v Speaker 1>the infection caused by the filterable transmissible agent that had

0:25:22.800 --> 0:25:24.920
<v Speaker 1>originally come from Riese's seven sixty six.

0:25:25.160 --> 0:25:29.880
<v Speaker 3>Man, that just sounds like because so you can have coinfections.

0:25:29.920 --> 0:25:32.280
<v Speaker 3>It sounds like a messy way to try and figure

0:25:32.320 --> 0:25:33.119
<v Speaker 3>out what's going on.

0:25:33.800 --> 0:25:37.240
<v Speaker 1>I think they just didn't know any other better way

0:25:37.280 --> 0:25:38.399
<v Speaker 1>to do it, for sure.

0:25:38.680 --> 0:25:39.680
<v Speaker 3>Yeah, I don't know if.

0:25:39.560 --> 0:25:42.040
<v Speaker 1>I would have had the patience to be in microbiologists

0:25:42.080 --> 0:25:42.440
<v Speaker 1>back then.

0:25:43.320 --> 0:25:46.200
<v Speaker 3>I don't even have the patients for it now. Yeah,

0:25:47.000 --> 0:25:51.040
<v Speaker 3>fair point, Fair points why I do this podcast instead.

0:25:54.640 --> 0:25:55.800
<v Speaker 2>Uh.

0:25:56.240 --> 0:25:59.800
<v Speaker 1>Finally, they would test this new mosquito derived slurry on

0:25:59.840 --> 0:26:02.520
<v Speaker 1>a monkey that had recovered from an infection with the

0:26:02.520 --> 0:26:08.040
<v Speaker 1>original virus. Huh yeah, full circle, and the results of

0:26:08.040 --> 0:26:11.640
<v Speaker 1>those experiments confirmed their hunch the virus was mosquito born

0:26:11.800 --> 0:26:16.240
<v Speaker 1>transmitted specifically by the species, in this case eighties Africanus.

0:26:17.280 --> 0:26:19.520
<v Speaker 1>But still they didn't know whether this was a new

0:26:19.600 --> 0:26:22.800
<v Speaker 1>virus or one that was already known. Since it was

0:26:22.880 --> 0:26:26.440
<v Speaker 1>nineteen forty seven, they couldn't test for specific genetic material,

0:26:26.640 --> 0:26:29.199
<v Speaker 1>but they could see whether the virus could be neutralized

0:26:29.200 --> 0:26:33.480
<v Speaker 1>by antibodies against known viruses, and they found, as you

0:26:33.520 --> 0:26:36.639
<v Speaker 1>can guess, that this was a brand new virus. So

0:26:36.880 --> 0:26:40.080
<v Speaker 1>they named it Zika, because why wouldn't you.

0:26:40.080 --> 0:26:44.920
<v Speaker 2>Name it after a geographical place? Just kidding, And then

0:26:44.960 --> 0:26:46.879
<v Speaker 2>it all but dropped off the face of the earth.

0:26:47.240 --> 0:26:50.600
<v Speaker 1>Yeah, from nineteen forty seven to two thousand and seven,

0:26:51.160 --> 0:26:52.080
<v Speaker 1>sixty years.

0:26:52.560 --> 0:26:56.520
<v Speaker 3>Nineteen forty seven, they discover it, They're like, cool, we

0:26:56.640 --> 0:27:00.959
<v Speaker 3>got a new virus. Nobody cares to two thousand and seven.

0:27:01.600 --> 0:27:02.439
<v Speaker 3>Tell me what happened?

0:27:03.240 --> 0:27:10.040
<v Speaker 1>Well, I should have maybe kept going, Sorry, just keep going.

0:27:10.920 --> 0:27:15.399
<v Speaker 1>From nineteen forty seven to two thousand and seven, sixty years,

0:27:15.840 --> 0:27:20.080
<v Speaker 1>only fourteen cases of active human infections with CICCA were described.

0:27:20.920 --> 0:27:23.200
<v Speaker 1>Fourteen so in sixty years.

0:27:23.400 --> 0:27:26.119
<v Speaker 3>And were those all in Uganda?

0:27:27.760 --> 0:27:31.639
<v Speaker 1>No, So they were in various places. Sometimes they were specified,

0:27:31.680 --> 0:27:35.040
<v Speaker 1>sometimes that they weren't so, but they weren't necessarily all

0:27:35.040 --> 0:27:38.520
<v Speaker 1>from Uganda. So it includes this list includes a ten

0:27:38.600 --> 0:27:42.399
<v Speaker 1>year old girl from Africa whose home country was not specified,

0:27:42.880 --> 0:27:45.680
<v Speaker 1>who had a fever and headache and antibodies against CICCA.

0:27:46.240 --> 0:27:49.240
<v Speaker 1>And then there was a researcher who decided to inject

0:27:49.320 --> 0:27:53.240
<v Speaker 1>himself with the Eastern Nigeria strain of ZICA, so he

0:27:53.480 --> 0:27:55.840
<v Speaker 1>got a head Yeah. I think he was like, oh,

0:27:55.840 --> 0:27:57.720
<v Speaker 1>it's mild. I want to be the first one to

0:27:58.200 --> 0:28:00.439
<v Speaker 1>describe this about myself, jeez.

0:28:00.480 --> 0:28:02.600
<v Speaker 2>Whatever. And there were some other people here.

0:28:02.440 --> 0:28:05.040
<v Speaker 3>And there, all in Africa.

0:28:05.400 --> 0:28:09.320
<v Speaker 1>Yeah, So most of these Zega cases were detected in Africa,

0:28:10.040 --> 0:28:13.919
<v Speaker 1>but at some point in the nineteen sixties, the virus

0:28:13.960 --> 0:28:17.959
<v Speaker 1>moved to Asia, popping up in Malaysia, Pakistan, and Indonesia.

0:28:18.000 --> 0:28:21.760
<v Speaker 1>In the late sixties and seventies, Okay, and then Zeka

0:28:22.040 --> 0:28:25.240
<v Speaker 1>began to pick up steam. Yes, here's where we get rolling.

0:28:26.000 --> 0:28:28.919
<v Speaker 1>In two thousand and seven, a bunch of people on Yap,

0:28:29.200 --> 0:28:32.200
<v Speaker 1>which is an island in the Caroline Islands group in

0:28:32.240 --> 0:28:36.200
<v Speaker 1>the Western Pacific, started showing symptoms of something that resembled

0:28:36.200 --> 0:28:40.800
<v Speaker 1>dengay but was much milder. This infection was also accompanied

0:28:40.840 --> 0:28:45.360
<v Speaker 1>by a rash, and test for dengay came back negative.

0:28:46.680 --> 0:28:49.680
<v Speaker 1>This sudden outbreak prompted a physician working at the yapp

0:28:49.680 --> 0:28:52.280
<v Speaker 1>Department of Health Services to reach out to the CDC

0:28:52.400 --> 0:28:56.160
<v Speaker 1>for help. The CDC deployed some EIS agents and they

0:28:56.200 --> 0:28:56.960
<v Speaker 1>began the hunt.

0:28:57.160 --> 0:29:00.920
<v Speaker 3>Oh our dream, my dream, my dream too. Ye.

0:29:02.840 --> 0:29:06.920
<v Speaker 1>Sample after sample came back positive for ZICA, which was bizarre.

0:29:07.640 --> 0:29:10.000
<v Speaker 1>In the sixty years of zeica history, at that point,

0:29:10.040 --> 0:29:12.960
<v Speaker 1>the virus had never been responsible for a large outbreak.

0:29:13.760 --> 0:29:15.000
<v Speaker 2>It was barely.

0:29:14.640 --> 0:29:18.280
<v Speaker 1>Recognized to be a disease causing pathogen in humans.

0:29:18.360 --> 0:29:20.880
<v Speaker 3>Right, it's just like, oh, yes, like four people have

0:29:20.960 --> 0:29:22.600
<v Speaker 3>gotten sick, like they had a headache.

0:29:23.240 --> 0:29:25.080
<v Speaker 2>Yeah. Yeah.

0:29:25.120 --> 0:29:28.479
<v Speaker 1>And when I say a large outbreak, I mean that

0:29:28.560 --> 0:29:33.760
<v Speaker 1>an estimated seventy three percent of YAPS seven thousand inhabitants

0:29:33.800 --> 0:29:37.240
<v Speaker 1>became infected with ZICA over a five month period. Whoa

0:29:38.040 --> 0:29:40.360
<v Speaker 1>who seventy three percent and they.

0:29:40.960 --> 0:29:44.640
<v Speaker 3>Like, seventy three percent had symptomatic illness.

0:29:44.920 --> 0:29:48.400
<v Speaker 1>No, so seventy three percent was was estimated based on

0:29:48.560 --> 0:29:52.320
<v Speaker 1>those who did have symptomatic illness. Interesting, So this is

0:29:52.600 --> 0:29:56.280
<v Speaker 1>this is based on the twenty symptom twenty percent symptoms,

0:29:56.280 --> 0:29:57.480
<v Speaker 1>eighty percent asymptomatic.

0:29:57.560 --> 0:30:05.000
<v Speaker 3>Okay, breakdown wow though, seventy three percent yeah. Oh and

0:30:05.040 --> 0:30:11.120
<v Speaker 3>then just like that it faded away, gone. So nineteen

0:30:11.160 --> 0:30:14.560
<v Speaker 3>forty seven, pops up, Nobody cares. Nobody cares. Two thousand

0:30:14.560 --> 0:30:15.920
<v Speaker 3>and seven, what's going on?

0:30:16.400 --> 0:30:16.600
<v Speaker 2>Then?

0:30:17.160 --> 0:30:18.360
<v Speaker 3>Nobody cares?

0:30:18.840 --> 0:30:20.280
<v Speaker 2>Yeah, Basically.

0:30:22.080 --> 0:30:24.680
<v Speaker 1>Because of the mildness of symptoms, if you were even

0:30:24.800 --> 0:30:28.480
<v Speaker 1>unlucky enough to have symptoms, the hospitals and clinics weren't

0:30:28.560 --> 0:30:33.360
<v Speaker 1>overwhelmed by people seeking treatment, and so it Yeah, it

0:30:33.440 --> 0:30:36.480
<v Speaker 1>just showed up. It spread through the population like wildfire,

0:30:36.560 --> 0:30:40.440
<v Speaker 1>and it disappeared without seeming to leave any substantial damage

0:30:40.480 --> 0:30:45.320
<v Speaker 1>in its wake at first. But before the aftershocks of

0:30:45.400 --> 0:30:48.320
<v Speaker 1>ZICCA would be recognized, the virus made its second dramatic

0:30:48.360 --> 0:30:51.680
<v Speaker 1>appearance again in a Pacific island group, this time in

0:30:51.720 --> 0:30:57.040
<v Speaker 1>French Polynesia in October. In twenty thirteen, six years and

0:30:57.080 --> 0:30:59.920
<v Speaker 1>a few months after the YAP outbreak had ended, alert

0:31:00.120 --> 0:31:03.000
<v Speaker 1>went out about a bunch of people with rashes, fevers,

0:31:03.040 --> 0:31:07.400
<v Speaker 1>bloodshot eyes, swollen joints, with most of these cases occurring

0:31:07.760 --> 0:31:12.800
<v Speaker 1>on Tahiti. Again, Dangay was the primary suspect, and that

0:31:13.000 --> 0:31:16.080
<v Speaker 1>in itself was worrying. The first time you get dan

0:31:16.120 --> 0:31:19.640
<v Speaker 1>gay can be excruciating. They don't call it breakbone fever

0:31:19.720 --> 0:31:24.160
<v Speaker 1>for nothing. But if you are exposed to a different stereotype,

0:31:24.200 --> 0:31:27.000
<v Speaker 1>you can actually get something called danngae hamorrhagic fever or

0:31:27.080 --> 0:31:30.920
<v Speaker 1>Danngae shock syndrome, which can kill you much more easily.

0:31:31.120 --> 0:31:31.959
<v Speaker 2>Yeah.

0:31:32.280 --> 0:31:34.560
<v Speaker 1>So if this was a new type of dengay that

0:31:34.600 --> 0:31:38.200
<v Speaker 1>the island group hadn't seen before, that was very concerning.

0:31:38.360 --> 0:31:38.680
<v Speaker 2>Yeah.

0:31:39.480 --> 0:31:42.720
<v Speaker 1>But again tests for Dangae came back negative, and again

0:31:42.800 --> 0:31:47.400
<v Speaker 1>the true culprit was found to be zekavirus. As with

0:31:47.520 --> 0:31:50.360
<v Speaker 1>the app outbreak, a large proportion of the population of

0:31:50.400 --> 0:31:54.000
<v Speaker 1>Tahiti became infected with ZEKA, with the majority of infections

0:31:54.000 --> 0:31:57.640
<v Speaker 1>being asymptomatic, and the cases that were symptomatic tended to

0:31:57.680 --> 0:32:03.720
<v Speaker 1>be again mild, rarely requiring hospitalization. But then something started happening,

0:32:04.800 --> 0:32:07.840
<v Speaker 1>the first indication that zica was not as benign as

0:32:07.880 --> 0:32:11.600
<v Speaker 1>it seemed. Here and there, a person infected with ZICA

0:32:11.600 --> 0:32:13.880
<v Speaker 1>would show up to the hospital a couple weeks after

0:32:13.920 --> 0:32:19.320
<v Speaker 1>their illness and report with partial paralysis. These cases were

0:32:19.320 --> 0:32:22.960
<v Speaker 1>determined to be Giambarret syndrome, and the link to ZICA

0:32:23.080 --> 0:32:27.320
<v Speaker 1>was pretty clear, at least statistically. Where in previous years

0:32:27.320 --> 0:32:30.720
<v Speaker 1>there would be three to five cases of giambarre, now

0:32:30.720 --> 0:32:33.960
<v Speaker 1>there were dozens and the only thing that seemed to

0:32:33.960 --> 0:32:37.120
<v Speaker 1>be different was the Zeka outbreak, but that didn't stop

0:32:37.160 --> 0:32:40.680
<v Speaker 1>the rumors, of course, that the cases of paralysis were

0:32:40.680 --> 0:32:43.360
<v Speaker 1>caused by something else, like pesticides for example.

0:32:43.560 --> 0:32:46.680
<v Speaker 3>Always blame it on the pesticides. Always the easiest thing

0:32:46.720 --> 0:32:47.280
<v Speaker 3>to blame it on.

0:32:48.080 --> 0:32:53.920
<v Speaker 1>And that's yeah, I mean sometimes it is pesticides. But

0:32:53.920 --> 0:32:55.960
<v Speaker 1>that's something that we see pop up time and time

0:32:56.000 --> 0:32:57.640
<v Speaker 1>again in the history of Zeica.

0:32:57.800 --> 0:32:58.280
<v Speaker 2>Rumors.

0:33:00.200 --> 0:33:04.240
<v Speaker 1>Trying really hard to work a Fleetwood mac joke and

0:33:04.320 --> 0:33:07.200
<v Speaker 1>to hear, but I cannot find anything. I can never

0:33:07.240 --> 0:33:08.400
<v Speaker 1>I never came up with anything.

0:33:08.480 --> 0:33:12.680
<v Speaker 3>You could have just started singing instead. Go on, give

0:33:12.720 --> 0:33:13.640
<v Speaker 3>it to me just a little.

0:33:13.920 --> 0:33:16.640
<v Speaker 2>Maybe, maybe I'll make a fake album cover.

0:33:17.120 --> 0:33:19.360
<v Speaker 3>Anyway, rumors rumors.

0:33:21.040 --> 0:33:23.520
<v Speaker 1>At least in the months after the outbreak, it appeared

0:33:23.560 --> 0:33:26.520
<v Speaker 1>that the only serious possible outcome of infection with the

0:33:26.600 --> 0:33:31.640
<v Speaker 1>zekeavirus was giambarre. No reports of microcephaly had been made,

0:33:31.800 --> 0:33:34.440
<v Speaker 1>and as with the YAP outbreak, the virus burned through

0:33:34.440 --> 0:33:38.520
<v Speaker 1>the population. This time, only sixty six percent of the

0:33:38.560 --> 0:33:41.719
<v Speaker 1>population of around two hundred and fifty thousand people oh

0:33:42.360 --> 0:33:42.920
<v Speaker 1>was infected.

0:33:43.480 --> 0:33:50.280
<v Speaker 2>Six of two, or sixty six percent NBD, just a.

0:33:50.200 --> 0:33:52.720
<v Speaker 3>Few thousand people, No big deal.

0:33:53.120 --> 0:33:58.320
<v Speaker 1>Handful really really, and then it seemed to disappear. In

0:33:58.400 --> 0:34:01.600
<v Speaker 1>Following this large scale outbreak, Zeka showed up on other

0:34:01.640 --> 0:34:06.080
<v Speaker 1>islands in the Pacific throughout twenty fourteen, including Rapanui also

0:34:06.120 --> 0:34:09.160
<v Speaker 1>known as Easter Island, and the Cook Islands, but these

0:34:09.200 --> 0:34:11.880
<v Speaker 1>outbreaks didn't get as many headlines as the one on

0:34:12.000 --> 0:34:16.560
<v Speaker 1>Yap and in French Polynesia, largely because the population wasn't

0:34:16.560 --> 0:34:20.240
<v Speaker 1>as big, and also probably because Zica still wasn't considered

0:34:20.280 --> 0:34:23.879
<v Speaker 1>much of a threat. The next time Zico would make

0:34:24.000 --> 0:34:26.480
<v Speaker 1>front page news, it would do so in a big,

0:34:27.120 --> 0:34:30.359
<v Speaker 1>big way, in an international way, and it would stay

0:34:30.360 --> 0:34:34.560
<v Speaker 1>there for months, if not years. Yeah, let's continue our

0:34:34.600 --> 0:34:38.600
<v Speaker 1>journey across the Pacific, jumping across South America and landing

0:34:38.719 --> 0:34:41.040
<v Speaker 1>all the way over on the Atlantic coast of Brazil

0:34:41.560 --> 0:34:48.000
<v Speaker 1>May twenty fifteen, where as Zeka epidemic was raging. Although

0:34:48.080 --> 0:34:50.440
<v Speaker 1>later molecular tests would show that the virus had been

0:34:50.520 --> 0:34:53.960
<v Speaker 1>circulating in Brazil at least since twenty fourteen, the epidemic

0:34:54.080 --> 0:34:58.480
<v Speaker 1>wasn't recognized until May twenty fifteen, probably for many reasons,

0:34:58.560 --> 0:35:02.200
<v Speaker 1>including mosquito population dynamics and the natural epidemic growth of

0:35:02.239 --> 0:35:08.040
<v Speaker 1>this population during the middle of the Brazil outbreak. There

0:35:08.080 --> 0:35:10.040
<v Speaker 1>was a lot of discussion as to where did this

0:35:10.080 --> 0:35:13.040
<v Speaker 1>come from? Where did this come from when? It could

0:35:13.040 --> 0:35:15.520
<v Speaker 1>have been a lot of different sources, but it seems

0:35:15.719 --> 0:35:19.160
<v Speaker 1>likely that it was that it came over at some

0:35:19.280 --> 0:35:23.840
<v Speaker 1>point during this something called the VA world Sprints VA

0:35:23.960 --> 0:35:28.560
<v Speaker 1>world Sprints, which is this outrigger canoe races held in

0:35:28.640 --> 0:35:31.160
<v Speaker 1>Rio in August twenty fourteen, and so this is a

0:35:31.200 --> 0:35:35.200
<v Speaker 1>month after the World Cup that had many participants from

0:35:35.239 --> 0:35:40.560
<v Speaker 1>the Pacific Islands where there had been cases of zeka.

0:35:40.680 --> 0:35:44.319
<v Speaker 1>So another theory is that it was introduced during the

0:35:44.360 --> 0:35:47.600
<v Speaker 1>FIFA Confederations Cup, which is a pre World Cup.

0:35:48.280 --> 0:35:51.200
<v Speaker 2>Match thing that is that was played thing.

0:35:52.440 --> 0:35:55.799
<v Speaker 3>I don't know, some like big time football people are

0:35:55.840 --> 0:35:58.400
<v Speaker 3>going to be like, it's not a match thing, Aaron.

0:36:00.080 --> 0:36:01.520
<v Speaker 2>It could be a match thing if I wanted to

0:36:01.560 --> 0:36:02.319
<v Speaker 2>be a match thing.

0:36:02.800 --> 0:36:05.000
<v Speaker 3>Obviously not sports fanatics over here.

0:36:07.640 --> 0:36:11.640
<v Speaker 1>That match thing was played in June twenty thirteen, and

0:36:11.680 --> 0:36:14.320
<v Speaker 1>so that would mark a slightly earlier origin.

0:36:15.239 --> 0:36:18.880
<v Speaker 3>Would that also be even earlier than the French Polynesia outbreak?

0:36:19.400 --> 0:36:23.480
<v Speaker 1>It would, But there have also been indications that the

0:36:23.560 --> 0:36:28.200
<v Speaker 1>virus was present in Haiti and some other Caribbean islands

0:36:28.280 --> 0:36:31.360
<v Speaker 1>before or at least at the same time as the

0:36:31.400 --> 0:36:32.279
<v Speaker 1>French Polynesia.

0:36:32.480 --> 0:36:33.480
<v Speaker 3>Huh interesting.

0:36:33.840 --> 0:36:36.120
<v Speaker 1>So up to this point we had seen how the

0:36:36.160 --> 0:36:39.520
<v Speaker 1>virus could act on relatively small islands, but how would

0:36:39.520 --> 0:36:41.399
<v Speaker 1>it behave when it got to a country with some

0:36:41.600 --> 0:36:44.560
<v Speaker 1>very high population densities and then spread to the rest

0:36:44.560 --> 0:36:49.920
<v Speaker 1>of the continent Because mosquitoes don't exactly acknowledge political boundaries.

0:36:51.600 --> 0:36:55.279
<v Speaker 1>At first, the epidemic mirrord that of Yap and French Polynesia,

0:36:55.840 --> 0:36:59.520
<v Speaker 1>mostly mild infections with very few people needing hospitalization, and

0:36:59.520 --> 0:37:03.520
<v Speaker 1>a heightened incidents of Giambarre. But this epidemic was different

0:37:03.560 --> 0:37:05.840
<v Speaker 1>than those other ones in a couple of key ways,

0:37:06.880 --> 0:37:10.880
<v Speaker 1>one expected and the other a complete surprise. First, ZEKEA

0:37:10.920 --> 0:37:13.160
<v Speaker 1>didn't burn through the population like it did in the

0:37:13.160 --> 0:37:17.479
<v Speaker 1>island outbreaks, but rather established more of a permanent transmission zone,

0:37:17.880 --> 0:37:21.320
<v Speaker 1>which was somewhat expected given that the much larger population

0:37:21.440 --> 0:37:24.799
<v Speaker 1>meant a constant supply of susceptible people and a much

0:37:24.960 --> 0:37:29.600
<v Speaker 1>much larger geographic area meant more places to spread. And

0:37:29.680 --> 0:37:32.520
<v Speaker 1>at this point you can probably guess what the surprise

0:37:32.600 --> 0:37:35.839
<v Speaker 1>difference was in this outbreak, because there's one essential thing

0:37:35.840 --> 0:37:39.040
<v Speaker 1>about Zica that has been conspicuously absent from.

0:37:38.880 --> 0:37:42.200
<v Speaker 2>The history so far microcephaly. You got it.

0:37:43.640 --> 0:37:47.600
<v Speaker 1>In October twenty fifteen, five months after Ezeka epidemic had

0:37:47.600 --> 0:37:51.640
<v Speaker 1>been confirmed, doctors in the northeastern city of Recife noticed

0:37:51.680 --> 0:37:54.600
<v Speaker 1>that they were delivering an unusually high number of infants

0:37:54.640 --> 0:37:58.360
<v Speaker 1>with microcephaly, and a few of these doctors suggested that

0:37:58.400 --> 0:38:02.120
<v Speaker 1>there was a link between the zekavvirus and microcephaly, based

0:38:02.120 --> 0:38:05.680
<v Speaker 1>purely on the shared epidemiological patterns of the two. Both

0:38:05.760 --> 0:38:09.080
<v Speaker 1>ZICA and microcephally were highest in the northeastern part of Brazil,

0:38:09.200 --> 0:38:11.879
<v Speaker 1>and the delay between the ZICA outbreak and the microcephaly

0:38:12.320 --> 0:38:16.880
<v Speaker 1>made sense given a prenatal exposure, and in November of

0:38:16.880 --> 0:38:19.960
<v Speaker 1>twenty fifteen, Brazil declared a state of emergency as the

0:38:20.040 --> 0:38:23.760
<v Speaker 1>number of diagnoses of microcephaly climbed past twenty seven hundred.

0:38:24.880 --> 0:38:28.520
<v Speaker 1>Some obstetricians and even public health officials were advising women

0:38:28.600 --> 0:38:32.080
<v Speaker 1>not to get pregnant, which was unheard of, and it

0:38:32.160 --> 0:38:36.000
<v Speaker 1>shows how dramatic the uptick and microcephaly was during this time,

0:38:36.440 --> 0:38:38.520
<v Speaker 1>and also serves as a bit of a preview for

0:38:38.560 --> 0:38:40.799
<v Speaker 1>the many debates that would be held on the international

0:38:40.840 --> 0:38:43.880
<v Speaker 1>stage about zicca, its effects and recommendations for those in

0:38:44.000 --> 0:38:47.920
<v Speaker 1>endemic areas. At the time when the state of emergency

0:38:48.000 --> 0:38:52.960
<v Speaker 1>was declared, there was as of yet no definite pathophysiological evidence,

0:38:53.120 --> 0:38:56.279
<v Speaker 1>no lab studies on animal models, no meta analysis that

0:38:56.360 --> 0:39:00.520
<v Speaker 1>clearly demonstrate the link between microcephaly and ZICA, which naturally

0:39:00.600 --> 0:39:03.880
<v Speaker 1>led to speculation. And I'm sure you remember some of

0:39:03.920 --> 0:39:06.520
<v Speaker 1>the other rumors about what was causing the increase in

0:39:06.600 --> 0:39:12.680
<v Speaker 1>microcephally genetically modified mosquitoes to fight dangay, chemical larvacide and

0:39:12.760 --> 0:39:16.120
<v Speaker 1>drinking water that was intended to kill mosquito larvae. Yeah,

0:39:16.360 --> 0:39:20.120
<v Speaker 1>the rubella vaccine. Ooh, I didn't hear that one. Yeah,

0:39:20.200 --> 0:39:24.560
<v Speaker 1>because apparently rubella can cause microcephale.

0:39:24.640 --> 0:39:27.319
<v Speaker 3>Yeah, it can cause a lot of fetal defects in

0:39:27.520 --> 0:39:30.279
<v Speaker 3>if a pregnant woman gets infected. But also pregnant women

0:39:30.400 --> 0:39:35.120
<v Speaker 3>don't receive the MMR vaccine which contains rubella because it's

0:39:35.120 --> 0:39:36.279
<v Speaker 3>a live vaccine.

0:39:36.880 --> 0:39:40.080
<v Speaker 1>Well, we've never known anti vaxxs to be logical or

0:39:40.400 --> 0:39:42.360
<v Speaker 1>fact based in any.

0:39:42.120 --> 0:39:43.600
<v Speaker 2>Of their Sorry.

0:39:44.320 --> 0:39:50.880
<v Speaker 1>Maybe another one was that there was no actual increase

0:39:50.920 --> 0:39:54.239
<v Speaker 1>in microcephale cases at all, but that Brazil hadn't been

0:39:54.320 --> 0:39:56.680
<v Speaker 1>keeping track of the case as well, or they had

0:39:56.760 --> 0:40:00.400
<v Speaker 1>changed the definition so that a larger skull circumference would

0:40:00.400 --> 0:40:05.080
<v Speaker 1>be classified as microcephalic. Side note, it was actually the reverse,

0:40:05.280 --> 0:40:07.719
<v Speaker 1>so the upper limit of what was considered microcephale had

0:40:07.719 --> 0:40:13.760
<v Speaker 1>actually been decreased. Ooh, but for most of the cases

0:40:13.760 --> 0:40:16.520
<v Speaker 1>that were microcephae as a result of ZICA.

0:40:16.600 --> 0:40:20.880
<v Speaker 2>They were not on the borderline, so it wouldn't have mattered.

0:40:21.000 --> 0:40:22.560
<v Speaker 3>Yeah.

0:40:22.600 --> 0:40:25.760
<v Speaker 1>And then there was the apparent absence of microcephale outbreaks

0:40:25.760 --> 0:40:28.160
<v Speaker 1>in places where ZEKA was endemic, such as parts of

0:40:28.200 --> 0:40:31.680
<v Speaker 1>Africa and Asia, but that could be explained by early

0:40:31.719 --> 0:40:36.080
<v Speaker 1>exposure and subsequent lifetime immunity, which also explains why we

0:40:36.120 --> 0:40:39.000
<v Speaker 1>hadn't really seen a big outbreak. It probably has just

0:40:39.040 --> 0:40:43.239
<v Speaker 1>been there circulating for a long time. It seemed like

0:40:43.280 --> 0:40:46.319
<v Speaker 1>every time one rumor was discounted, another popped up into

0:40:46.320 --> 0:40:50.200
<v Speaker 1>its place. I remember these rumors making the rounds during

0:40:50.239 --> 0:40:53.359
<v Speaker 1>late twenty fifteen and early twenty sixteen, none of them

0:40:53.400 --> 0:40:58.640
<v Speaker 1>calling themselves rumors, of course, more like could franken mosquitoes

0:40:58.640 --> 0:41:00.839
<v Speaker 1>be responsible for the increase microcephaly?

0:41:01.160 --> 0:41:03.400
<v Speaker 3>BuzzFeed headlines kind of thing, right.

0:41:03.760 --> 0:41:06.360
<v Speaker 1>Well, and then the article that goes with that headline

0:41:06.640 --> 0:41:09.920
<v Speaker 1>just wildly speculates and it's not actually asking that question.

0:41:09.960 --> 0:41:13.440
<v Speaker 1>It's more like frank and mosquitoes could be responsible, you know,

0:41:14.200 --> 0:41:19.480
<v Speaker 1>And it takes phrases like could indicate as yes, definitely.

0:41:19.040 --> 0:41:19.520
<v Speaker 2>It does this.

0:41:20.719 --> 0:41:23.560
<v Speaker 1>And this is where the very real disconnect between how

0:41:23.600 --> 0:41:27.280
<v Speaker 1>science is written about for academic journals and how science

0:41:27.360 --> 0:41:32.960
<v Speaker 1>is written about for newspapers becomes very apparent. Yeah, for instance,

0:41:33.000 --> 0:41:35.920
<v Speaker 1>if there is a paper in a scientific journal that said,

0:41:36.440 --> 0:41:39.360
<v Speaker 1>this finding is highly suggestive of a causative link between

0:41:39.440 --> 0:41:44.360
<v Speaker 1>zica and microcephaly, that sounds that might sound fairly uncertain,

0:41:44.920 --> 0:41:48.480
<v Speaker 1>or at least more uncertain compared to zica causes microcephale.

0:41:48.640 --> 0:41:51.160
<v Speaker 3>I just feel like what you said sounded so certain.

0:41:51.239 --> 0:41:53.520
<v Speaker 3>I was like, wow, were there papers that said that

0:41:53.560 --> 0:41:57.640
<v Speaker 3>back then? Because to me that sounds like really, But

0:41:57.719 --> 0:41:59.960
<v Speaker 3>that's because I read scientific papers.

0:42:00.360 --> 0:42:02.600
<v Speaker 1>You read these papers, and it is I mean, all

0:42:02.640 --> 0:42:06.080
<v Speaker 1>of the wording is incredibly cautious, because that's how science

0:42:06.719 --> 0:42:13.280
<v Speaker 1>is done. Very very rarely is anything ever proven. Instead,

0:42:13.400 --> 0:42:18.560
<v Speaker 1>hypotheses are supported every now and then, rarely a theory

0:42:18.640 --> 0:42:21.239
<v Speaker 1>will be developed. And that's about the closest thing we

0:42:21.320 --> 0:42:24.680
<v Speaker 1>have to anything being proven, and this is one of

0:42:24.680 --> 0:42:27.719
<v Speaker 1>the reasons that the link between zica and microcephale seem

0:42:27.800 --> 0:42:31.400
<v Speaker 1>to take a while to become fully established. There cannot

0:42:31.440 --> 0:42:34.600
<v Speaker 1>be jumping to conclusions. Each piece of evidence has to

0:42:34.640 --> 0:42:37.799
<v Speaker 1>be carefully measured and weighed, especially when lives.

0:42:37.520 --> 0:42:38.880
<v Speaker 2>Are on the line.

0:42:38.920 --> 0:42:42.399
<v Speaker 1>All things considered, the link between zica and microcephally took

0:42:42.680 --> 0:42:45.640
<v Speaker 1>not very long at all to be established, thanks in

0:42:45.680 --> 0:42:49.000
<v Speaker 1>part to a policy of freely publishing data that many

0:42:49.080 --> 0:42:51.400
<v Speaker 1>researchers took part in, as well as a pledge to

0:42:51.400 --> 0:42:55.000
<v Speaker 1>make ZICA articles freely accessible during the duration of the emergency.

0:42:56.200 --> 0:42:59.960
<v Speaker 1>On February first, twenty sixteen, the WHO declared a public

0:43:00.040 --> 0:43:03.600
<v Speaker 1>health emergency of international concern over the possibility that zica

0:43:03.640 --> 0:43:09.759
<v Speaker 1>caused microcephaly, which was very carefully worded the possibility, but

0:43:09.920 --> 0:43:12.239
<v Speaker 1>not more than two months later, the wording of the

0:43:12.320 --> 0:43:17.480
<v Speaker 1>WHO Zeca report changed to quote. Based on observational, cohort

0:43:17.520 --> 0:43:20.840
<v Speaker 1>and case control studies, there is strong scientific consensus that

0:43:21.000 --> 0:43:24.839
<v Speaker 1>Zeca virus is a cause of GBS microcephalye and other

0:43:24.880 --> 0:43:30.680
<v Speaker 1>neurological disorders GBS meaning gambarre. Scientists looked back at places

0:43:30.680 --> 0:43:34.040
<v Speaker 1>that had ZEKA outbreaks before, like French Polynesia and Yap

0:43:34.160 --> 0:43:38.120
<v Speaker 1>and found clusters of microcephaly. They did lab experiments showing

0:43:38.160 --> 0:43:40.600
<v Speaker 1>that the virus injected into a mouse at any stage

0:43:40.600 --> 0:43:43.319
<v Speaker 1>of pregnancy could be deadly to the fetus, and they

0:43:43.360 --> 0:43:45.799
<v Speaker 1>had case control studies in which they followed women who

0:43:45.800 --> 0:43:49.000
<v Speaker 1>had tested positive for ZICA infection during pregnancy through the

0:43:49.000 --> 0:43:52.400
<v Speaker 1>time they had given birth. There was no one study

0:43:52.440 --> 0:43:55.240
<v Speaker 1>that showed this definitive link. It was many small ones,

0:43:55.680 --> 0:44:01.839
<v Speaker 1>because that's how science is done. And this link, like

0:44:01.920 --> 0:44:04.760
<v Speaker 1>you mentioned, between a mosquito born virus and a horrible,

0:44:05.080 --> 0:44:09.360
<v Speaker 1>horrible neurological disorders was unprecedented in medicine. If most of

0:44:09.400 --> 0:44:12.399
<v Speaker 1>the world had had its head turned toward Brazil during

0:44:12.480 --> 0:44:15.440
<v Speaker 1>late twenty fifteen, its eyes were starting to wander in

0:44:15.480 --> 0:44:18.040
<v Speaker 1>the early months of twenty sixteen as the virus made

0:44:18.040 --> 0:44:20.600
<v Speaker 1>its way throughout other parts of South America and up

0:44:20.640 --> 0:44:24.160
<v Speaker 1>through Central America. Even before the link between Zica and

0:44:24.200 --> 0:44:27.800
<v Speaker 1>microcephaly had been established, even before the WHO had declared

0:44:27.800 --> 0:44:31.719
<v Speaker 1>its first global emergency, countries were issuing travel advisories for

0:44:31.760 --> 0:44:35.640
<v Speaker 1>its citizens. If you are pregnant or thinking of becoming pregnant.

0:44:35.760 --> 0:44:37.960
<v Speaker 1>You shouldn't travel to x or y country where there

0:44:38.000 --> 0:44:42.120
<v Speaker 1>is an ongoing outbreak of zica. And as the sexual

0:44:42.200 --> 0:44:45.399
<v Speaker 1>transmission aspect of zica became apparent, that was incorporated into

0:44:45.440 --> 0:44:48.800
<v Speaker 1>the warning. It became more wide. It wasn't just towards

0:44:48.800 --> 0:44:51.440
<v Speaker 1>pregnant women. It was also about if you have been

0:44:51.560 --> 0:44:54.959
<v Speaker 1>to a country, you should consider this, and yeah, etc.

0:44:55.480 --> 0:44:58.440
<v Speaker 3>Use safe sex practices and blah blah blah.

0:44:59.239 --> 0:45:00.520
<v Speaker 2>Yeah.

0:45:00.560 --> 0:45:02.760
<v Speaker 1>Of course there was a lot of fear about bringing

0:45:02.760 --> 0:45:05.400
<v Speaker 1>the virus to the US because the mosquito vector is

0:45:05.440 --> 0:45:09.000
<v Speaker 1>present there. But what about warnings or advice for the

0:45:09.040 --> 0:45:12.000
<v Speaker 1>people living in those epidemic regions? What should they be

0:45:12.080 --> 0:45:15.879
<v Speaker 1>told about zika? As I mentioned earlier, some public health

0:45:15.920 --> 0:45:18.759
<v Speaker 1>officials and physicians were advising their patients to wait to

0:45:18.800 --> 0:45:21.799
<v Speaker 1>get pregnant, but there had been no formal statement to

0:45:21.840 --> 0:45:25.359
<v Speaker 1>that effect from governments early on, and should there be.

0:45:26.160 --> 0:45:29.120
<v Speaker 1>This was a big debate among reproductive health and infectious

0:45:29.160 --> 0:45:32.520
<v Speaker 1>disease specialists and was reported to be causing quite a

0:45:32.600 --> 0:45:37.359
<v Speaker 1>rift within organizations like the CDC. What role, what right

0:45:37.960 --> 0:45:40.640
<v Speaker 1>does the government have to make these recommendations to women

0:45:40.760 --> 0:45:43.600
<v Speaker 1>about what they should or shouldn't do with their bodies,

0:45:43.640 --> 0:45:47.719
<v Speaker 1>and when access to birth control wasn't possible for many

0:45:48.440 --> 0:45:51.200
<v Speaker 1>in some places, most of the women in these countries,

0:45:52.000 --> 0:45:55.759
<v Speaker 1>for married women, in Guatemala, Bolivia, and Haiti, less than

0:45:55.840 --> 0:45:59.640
<v Speaker 1>thirty five percent of women had access to birth control

0:45:59.680 --> 0:46:01.400
<v Speaker 1>at the time time that this book was written. So

0:46:01.440 --> 0:46:06.600
<v Speaker 1>in twenty sixteen, other places fared barely better fifty percent,

0:46:07.000 --> 0:46:11.000
<v Speaker 1>sixty percent. And what about women who can't delay pregnancy

0:46:11.040 --> 0:46:13.759
<v Speaker 1>by a couple of years due to biological reasons, or

0:46:13.800 --> 0:46:18.400
<v Speaker 1>they just don't What about too or they don't want to? Yeah,

0:46:18.560 --> 0:46:21.120
<v Speaker 1>what about the dark history of forced birth control that

0:46:21.160 --> 0:46:27.319
<v Speaker 1>has lingered in some places, sterilization programs for convicted people. Ultimately,

0:46:27.680 --> 0:46:31.200
<v Speaker 1>most countries didn't recommend waiting to get pregnant, although some

0:46:31.280 --> 0:46:36.160
<v Speaker 1>did said wait two years, wait six months, whatever. Most

0:46:36.239 --> 0:46:40.280
<v Speaker 1>instead recommended protective measures such as mosquito nets, bugspray, and screens.

0:46:41.000 --> 0:46:43.799
<v Speaker 1>But this brought to light the really important issue of

0:46:43.880 --> 0:46:48.920
<v Speaker 1>access that I, in reading this book, didn't feel like

0:46:49.000 --> 0:46:53.360
<v Speaker 1>it got enough attention or coverage. Access to accurate information,

0:46:53.520 --> 0:46:57.239
<v Speaker 1>access to healthcare, access to birth control, access to these

0:46:57.280 --> 0:47:03.600
<v Speaker 1>protective bugnets, these these mosquito sprays, access to the things

0:47:03.600 --> 0:47:06.560
<v Speaker 1>that would allow you to protect yourself and your family

0:47:06.640 --> 0:47:08.240
<v Speaker 1>and to make an informed decision.

0:47:09.160 --> 0:47:12.680
<v Speaker 3>I remember when they were talking about making those recommendations

0:47:12.719 --> 0:47:14.880
<v Speaker 3>and in some areas making them like just telling women

0:47:15.120 --> 0:47:18.040
<v Speaker 3>you can't get pregnant, don't get pregnant, and just being

0:47:18.160 --> 0:47:23.120
<v Speaker 3>so infuriated at that idea because it is often so

0:47:23.320 --> 0:47:26.320
<v Speaker 3>difficult to get birth control. I mean even in the US,

0:47:26.360 --> 0:47:30.399
<v Speaker 3>it's often very difficult to get birth control, you know. Yeah, Oh,

0:47:30.440 --> 0:47:31.960
<v Speaker 3>it was just so infuriating.

0:47:33.080 --> 0:47:37.000
<v Speaker 1>Even if these recommendations had been made, because even if

0:47:37.000 --> 0:47:40.640
<v Speaker 1>it was just these these governments saying you should wait

0:47:40.680 --> 0:47:44.880
<v Speaker 1>to get pregnant, then it's almost like they're washing their hands, yeah,

0:47:44.960 --> 0:47:47.280
<v Speaker 1>of rs, because it's like, well, then if you got pregnant,

0:47:47.280 --> 0:47:49.400
<v Speaker 1>you went against our recommendation, so there's nothing we can

0:47:49.480 --> 0:47:51.600
<v Speaker 1>do for you. Instead of the fact that it's like,

0:47:51.640 --> 0:47:54.480
<v Speaker 1>well it wasn't exactly a choice for me, perhaps that

0:47:54.560 --> 0:47:59.560
<v Speaker 1>I you know, all of these different aspects, Yeah, admits

0:47:59.640 --> 0:48:04.600
<v Speaker 1>these Zica was continuing to spread and spread and spread,

0:48:05.200 --> 0:48:07.799
<v Speaker 1>and panic reached an all time high during the lead

0:48:07.880 --> 0:48:12.839
<v Speaker 1>up to the twenty sixteen Olympics in Rio. Yeah, and

0:48:12.880 --> 0:48:18.160
<v Speaker 1>the final tallly of cases of zica and cases of

0:48:18.200 --> 0:48:23.040
<v Speaker 1>microcephaly reported for those attending the games was zero.

0:48:23.600 --> 0:48:27.680
<v Speaker 3>H yeah, so zero very anticlimactic.

0:48:28.040 --> 0:48:32.200
<v Speaker 1>Great, yeah, but well, make make no mistake. Zica was

0:48:32.280 --> 0:48:36.000
<v Speaker 1>still an ongoing problem in Rio during this time, particularly

0:48:36.040 --> 0:48:39.800
<v Speaker 1>in poor areas with little infrastructure and no access to healthcare.

0:48:39.560 --> 0:48:43.520
<v Speaker 3>Just not amongst people who were at the Olympics who.

0:48:43.440 --> 0:48:45.920
<v Speaker 1>Could afford to travel to the Olympics and spray themselves

0:48:45.960 --> 0:48:50.200
<v Speaker 1>with bug spray or whatever else. I think that this,

0:48:50.640 --> 0:48:54.040
<v Speaker 1>so far in our podcast, is the closest the history

0:48:54.040 --> 0:48:56.200
<v Speaker 1>has gotten to the epidemiology. So I feel like we

0:48:56.200 --> 0:48:59.879
<v Speaker 1>should just jump straight into it. Aaron tell me about

0:49:00.120 --> 0:49:01.640
<v Speaker 1>you can know? Is there a vaccine?

0:49:02.560 --> 0:49:03.160
<v Speaker 2>Let's do it.

0:49:24.239 --> 0:49:29.680
<v Speaker 3>Okay. PAHO, which is the Pan American Health Organization during

0:49:30.320 --> 0:49:33.080
<v Speaker 3>like from twenty fifteen all the way through twenty seventeen,

0:49:33.360 --> 0:49:36.520
<v Speaker 3>had lists that were updated several times a month of

0:49:36.560 --> 0:49:40.120
<v Speaker 3>the cumulative case reports from every country across the Americas

0:49:40.560 --> 0:49:44.400
<v Speaker 3>that included the number of octocthonous cases. That's a new

0:49:44.480 --> 0:49:48.839
<v Speaker 3>VOCA word. I love that sorta word, autocthinus. Aaron tell

0:49:48.920 --> 0:49:49.680
<v Speaker 3>us what it means.

0:49:50.120 --> 0:49:52.360
<v Speaker 1>Basically, it means are you telling, are you asking me?

0:49:52.480 --> 0:49:53.160
<v Speaker 1>Or are you asking you?

0:49:53.600 --> 0:49:53.799
<v Speaker 3>Oh?

0:49:53.840 --> 0:49:59.799
<v Speaker 2>Good question? I'm asking you. I know sometimes you talk

0:49:59.840 --> 0:50:00.000
<v Speaker 2>to you.

0:50:00.520 --> 0:50:04.840
<v Speaker 1>So basically it means arising from the same location exactly.

0:50:04.960 --> 0:50:08.719
<v Speaker 3>Yeah, So octogulinist cases of transmission in the US are

0:50:08.800 --> 0:50:11.440
<v Speaker 3>cases that weren't imported from somewhere else. There are cases

0:50:11.440 --> 0:50:14.880
<v Speaker 3>that were transmitted in the US. So the number of

0:50:14.880 --> 0:50:17.760
<v Speaker 3>octopolinist cases as well as the number of imported cases.

0:50:18.160 --> 0:50:21.240
<v Speaker 3>But what I find gobsmacking about the pah.

0:50:21.640 --> 0:50:23.239
<v Speaker 2>Good word, great word.

0:50:23.960 --> 0:50:26.800
<v Speaker 3>The most recent update that pa Hoo has about the

0:50:26.920 --> 0:50:32.480
<v Speaker 3>number of cumulative cases of zecavirus was last updated January fourth,

0:50:33.000 --> 0:50:34.280
<v Speaker 3>twenty eighteen.

0:50:35.800 --> 0:50:37.319
<v Speaker 2>So a year year ago.

0:50:37.680 --> 0:50:39.919
<v Speaker 3>We'll see if this changes by the time we release

0:50:40.000 --> 0:50:43.080
<v Speaker 3>this episode, but as of recording, the data that I

0:50:43.120 --> 0:50:46.920
<v Speaker 3>have is from one year ago. Okay, so as of

0:50:47.040 --> 0:50:50.279
<v Speaker 3>January twenty eighteen, the countries that have been hardest hit

0:50:50.480 --> 0:50:53.640
<v Speaker 3>by far in terms of the total number of cases

0:50:54.280 --> 0:50:57.799
<v Speaker 3>are Brazil and Puerto Rico. Over one hundred and thirty

0:50:57.840 --> 0:51:01.200
<v Speaker 3>seven thousand total cases in Brazil ill and over forty

0:51:01.239 --> 0:51:05.239
<v Speaker 3>thousand in Puerto Rico. And that's just confirmed cases. That

0:51:05.280 --> 0:51:08.360
<v Speaker 3>doesn't include many, many more suspected cases.

0:51:09.200 --> 0:51:12.120
<v Speaker 1>Is that number total or is that just for twenty

0:51:12.239 --> 0:51:14.600
<v Speaker 1>sixteen twenty seventeen or twenty seventeen to twenty that's.

0:51:14.520 --> 0:51:16.799
<v Speaker 3>Twenty sixteen twenty seventeen, so we don't have numbers from

0:51:16.800 --> 0:51:20.880
<v Speaker 3>twenty eighteen yet. And what's also important to point out,

0:51:21.120 --> 0:51:23.480
<v Speaker 3>and I do want to make this important because it's

0:51:23.520 --> 0:51:26.400
<v Speaker 3>important in epidemology in general, but it's super important in

0:51:26.440 --> 0:51:30.239
<v Speaker 3>this case, is that those are the largest number of

0:51:30.280 --> 0:51:33.880
<v Speaker 3>cases overall. So while Brazil had the largest number of cases,

0:51:33.920 --> 0:51:37.319
<v Speaker 3>it's a massive country, right, So in epidemiology we don't

0:51:37.320 --> 0:51:39.719
<v Speaker 3>really look at raw numbers that often. We usually use

0:51:39.760 --> 0:51:42.960
<v Speaker 3>incidence rate rather than straight numbers to get a sense

0:51:42.960 --> 0:51:46.520
<v Speaker 3>of how many people are affected based on the population's size.

0:51:46.800 --> 0:51:49.080
<v Speaker 3>So we look at the number of cases per one

0:51:49.160 --> 0:51:53.280
<v Speaker 3>hundred thousand people. Yeah, So in that case, it's actually

0:51:53.320 --> 0:51:57.399
<v Speaker 3>some of the Caribbean islands, for example Curasow, which had

0:51:57.480 --> 0:52:01.839
<v Speaker 3>over two thousand confirmed cases, but the incident's rate is

0:52:01.920 --> 0:52:04.920
<v Speaker 3>over four thousand cases per one hundred thousand people.

0:52:05.520 --> 0:52:06.600
<v Speaker 2>Oh my gosh.

0:52:06.640 --> 0:52:09.960
<v Speaker 3>And in Brazil the case rate is still extremely high,

0:52:10.080 --> 0:52:13.040
<v Speaker 3>one hundred and seventy six cases per one hundred thousand

0:52:13.040 --> 0:52:13.880
<v Speaker 3>people in Brazil.

0:52:14.880 --> 0:52:15.440
<v Speaker 2>Wow.

0:52:15.880 --> 0:52:20.000
<v Speaker 3>Yeah, that's that's really high. That's really high. Puerto Rico,

0:52:20.320 --> 0:52:22.799
<v Speaker 3>the incident's rate was over one thousand cases per one

0:52:22.880 --> 0:52:26.200
<v Speaker 3>hundred thousand people from twenty sixteen to twenty seventeen. So

0:52:26.400 --> 0:52:29.640
<v Speaker 3>for comparison, in the US, in that time period, there

0:52:29.680 --> 0:52:34.520
<v Speaker 3>were two hundred and twenty seven confirmed octogthonous transmission cases.

0:52:35.360 --> 0:52:38.640
<v Speaker 3>That means people who acquired zeke infection in the United

0:52:38.719 --> 0:52:42.319
<v Speaker 3>States two hundred and twenty seven. That's a incidance rate

0:52:42.400 --> 0:52:45.440
<v Speaker 3>of point zero six cases per one hundred thousand people.

0:52:46.440 --> 0:52:50.080
<v Speaker 3>So overall, across all the countries in the Americas that

0:52:50.120 --> 0:52:52.640
<v Speaker 3>have been affected, there have been over two hundred and

0:52:52.640 --> 0:52:57.000
<v Speaker 3>twenty three thousand confirmed cases and five hundred and eighty

0:52:57.040 --> 0:53:03.000
<v Speaker 3>thousand suspected cases. Is three thousand, seven and twenty cases

0:53:03.040 --> 0:53:09.360
<v Speaker 3>of confirmed congenital ZEKA Syndromeugh. Yeah, it only had twenty

0:53:09.440 --> 0:53:13.560
<v Speaker 3>deaths listed, but I'm not sure that that counts fetal

0:53:13.640 --> 0:53:17.319
<v Speaker 3>deaths or early pregnancy loss. I don't believe that it does,

0:53:17.400 --> 0:53:18.360
<v Speaker 3>but I'm not positive.

0:53:19.440 --> 0:53:19.760
<v Speaker 2>Okay.

0:53:19.880 --> 0:53:22.000
<v Speaker 3>So, and I will say that this is not the

0:53:22.000 --> 0:53:24.680
<v Speaker 3>only place that ZICA is happening. So I actually was

0:53:24.760 --> 0:53:27.280
<v Speaker 3>checking pro med and there was an outbreak of ZICA

0:53:27.320 --> 0:53:30.120
<v Speaker 3>going on in India very recently.

0:53:30.760 --> 0:53:34.319
<v Speaker 2>Okay, and do we know what strain that is or I.

0:53:34.280 --> 0:53:38.200
<v Speaker 3>Have absolutely no idea because I didn't go further down

0:53:38.200 --> 0:53:44.560
<v Speaker 3>that rabbit hole. It's a great question, though, Okay, so

0:53:44.640 --> 0:53:47.360
<v Speaker 3>now the question is what are we doing about it?

0:53:47.440 --> 0:53:51.000
<v Speaker 3>Now that zica is on everybody's radar. We should have

0:53:51.040 --> 0:53:53.160
<v Speaker 3>a vaccine for it, right, just like after the a

0:53:53.200 --> 0:53:58.000
<v Speaker 3>bullet outbreak we had a vaccine right right? Oh yeah, yeah, no,

0:53:58.400 --> 0:54:01.359
<v Speaker 3>well we do now though, Well let's talk about why.

0:54:02.800 --> 0:54:05.040
<v Speaker 3>So one of the things I think that I was

0:54:05.080 --> 0:54:08.160
<v Speaker 3>so excited to talk about zica virus is that it's

0:54:08.440 --> 0:54:11.719
<v Speaker 3>such a beautiful example of a disease that we have

0:54:11.880 --> 0:54:15.160
<v Speaker 3>known about for seventy years. That's a long time, and

0:54:15.239 --> 0:54:18.240
<v Speaker 3>yet we know so little about this disease.

0:54:19.000 --> 0:54:19.360
<v Speaker 2>Yeah.

0:54:19.560 --> 0:54:24.000
<v Speaker 3>One of the reasons is in our scurvy episode, you

0:54:24.080 --> 0:54:27.680
<v Speaker 3>touched briefly on the idea of developing animal models, right,

0:54:27.960 --> 0:54:30.160
<v Speaker 3>which is a really important part of studying diseases that

0:54:30.200 --> 0:54:33.000
<v Speaker 3>infect humans. And I don't remember the exact year that

0:54:33.080 --> 0:54:35.839
<v Speaker 3>you said the guy came up with the guinea pig

0:54:36.080 --> 0:54:36.720
<v Speaker 3>as the model.

0:54:37.600 --> 0:54:39.600
<v Speaker 1>Eighteen ninety three, Thank you, wasn't it really?

0:54:39.760 --> 0:54:42.799
<v Speaker 2>No, I don't have no idea, but it was a

0:54:42.840 --> 0:54:43.600
<v Speaker 2>long time ago.

0:54:43.800 --> 0:54:46.000
<v Speaker 3>Right, it's a very long time ago, and that's what

0:54:46.080 --> 0:54:48.239
<v Speaker 3>allowed us to hone in on and figure out what

0:54:48.520 --> 0:54:54.960
<v Speaker 3>exactly was happening with scurvy. Well with zeica. It's not

0:54:55.120 --> 0:54:57.799
<v Speaker 3>that we didn't have any animal models. It's not that

0:54:57.840 --> 0:55:02.920
<v Speaker 3>they didn't exist at all. But two things. One, very

0:55:02.960 --> 0:55:06.919
<v Speaker 3>few good animal models actually did exist, and number two,

0:55:07.239 --> 0:55:10.399
<v Speaker 3>the ones that did exist were made from very very

0:55:10.520 --> 0:55:14.560
<v Speaker 3>old strains, like the nineteen forty seven first discovered strain

0:55:14.680 --> 0:55:20.080
<v Speaker 3>of Zeca virus. And viruses evolve, they change, so it's

0:55:20.080 --> 0:55:24.360
<v Speaker 3>important to have animal models that actually reflect the viruses

0:55:24.440 --> 0:55:28.480
<v Speaker 3>that are circulating in the population. And it has only

0:55:28.520 --> 0:55:32.880
<v Speaker 3>been in the last three or four years that you

0:55:32.920 --> 0:55:36.280
<v Speaker 3>can find a ton of papers where people are literally

0:55:36.880 --> 0:55:44.520
<v Speaker 3>developing animal models to study zeka. Wow, it is so cool.

0:55:45.040 --> 0:55:47.600
<v Speaker 2>So is there is there a candidate animal model?

0:55:47.640 --> 0:55:50.520
<v Speaker 3>Now there are several, and so I'll post some of those.

0:55:50.560 --> 0:55:53.799
<v Speaker 3>There's actually a really nice review that goes through all

0:55:53.880 --> 0:55:57.480
<v Speaker 3>of the research that's been done currently and what the

0:55:57.520 --> 0:56:01.440
<v Speaker 3>most promising animal models are. And so mostly it's mice

0:56:01.520 --> 0:56:04.480
<v Speaker 3>and non human primates. So those are the two biggest

0:56:04.520 --> 0:56:08.640
<v Speaker 3>ones and makes sense, right, they're just kind of some

0:56:08.680 --> 0:56:12.520
<v Speaker 3>of the biggest in general. But what's really important is

0:56:12.560 --> 0:56:16.400
<v Speaker 3>developing this non human primate model though, because the effects

0:56:16.480 --> 0:56:20.360
<v Speaker 3>of zica, like mouse placentas aren't equivalent to human placentas,

0:56:20.400 --> 0:56:23.839
<v Speaker 3>and mouse fetal development is nothing like, well not nothing like,

0:56:23.880 --> 0:56:27.279
<v Speaker 3>but very dissimilar to human fetal development. So developing these

0:56:27.280 --> 0:56:30.400
<v Speaker 3>non human primate models in order to study the effects

0:56:30.440 --> 0:56:34.600
<v Speaker 3>of ZICA on fetuses is really really important, right, And

0:56:34.760 --> 0:56:37.640
<v Speaker 3>so they've done a lot of that. They've infected pregnant

0:56:37.640 --> 0:56:40.840
<v Speaker 3>monkeys with ZICA and found their fetuses to have reduced

0:56:40.840 --> 0:56:45.400
<v Speaker 3>growth of the fetal brain, white matter deficiency, axonal damage

0:56:45.440 --> 0:56:47.759
<v Speaker 3>which means damage to the axons, which are like the

0:56:47.800 --> 0:56:52.839
<v Speaker 3>long spindly bits of your neurons, and more. And they've

0:56:52.840 --> 0:56:56.440
<v Speaker 3>been able to detect ZECA virus in all different kinds

0:56:56.520 --> 0:56:58.799
<v Speaker 3>of placental tissue and fetal tissue.

0:56:59.320 --> 0:56:59.760
<v Speaker 2>Wow.

0:57:00.120 --> 0:57:02.680
<v Speaker 3>Yeah, so these links are very clear, even though we

0:57:02.760 --> 0:57:08.920
<v Speaker 3>don't know the exact pathophysiology of like how exactly is

0:57:09.000 --> 0:57:11.760
<v Speaker 3>ZEKA infecting this cell and then what is it doing

0:57:11.800 --> 0:57:14.760
<v Speaker 3>within that cell? We know that it's infecting the fetus,

0:57:14.800 --> 0:57:18.320
<v Speaker 3>it's infecting the fetus brain, and it's causing this damage

0:57:18.920 --> 0:57:21.880
<v Speaker 3>and development of these animal models allows us to get

0:57:21.920 --> 0:57:25.440
<v Speaker 3>a better understanding, not just of that pathophysiology, so that

0:57:25.480 --> 0:57:30.640
<v Speaker 3>someday we will know exactly how it's causing disease. We

0:57:30.680 --> 0:57:33.360
<v Speaker 3>can also study the mechanisms by which it's able to

0:57:33.360 --> 0:57:38.200
<v Speaker 3>be sexually transmitted. Yeah, we can study the mechanisms by

0:57:38.240 --> 0:57:43.480
<v Speaker 3>which it can cause gion beret. This also allows for

0:57:43.800 --> 0:57:51.120
<v Speaker 3>the study of antibody therapy, antiviral therapy, and vaccine developments. Aha,

0:57:51.240 --> 0:57:56.960
<v Speaker 3>so let's talk about it. There are vaccines in development,

0:57:58.000 --> 0:58:01.680
<v Speaker 3>including at least several all DNA vaccines.

0:58:03.160 --> 0:58:04.520
<v Speaker 2>Oh fav your fave.

0:58:05.320 --> 0:58:09.280
<v Speaker 3>However, it's many, many years away before we'll see any

0:58:09.400 --> 0:58:11.040
<v Speaker 3>real action from that most likely.

0:58:11.920 --> 0:58:12.600
<v Speaker 2>That makes sense.

0:58:12.840 --> 0:58:17.040
<v Speaker 3>It makes sense because prior to these most recent outbreaks,

0:58:17.040 --> 0:58:21.160
<v Speaker 3>nobody was paying attention to zica.

0:58:19.800 --> 0:58:21.200
<v Speaker 2>Which also makes sense.

0:58:21.280 --> 0:58:23.920
<v Speaker 1>I mean, it was it does, a very mild infection

0:58:24.000 --> 0:58:26.880
<v Speaker 1>that no one knew had this under its right up

0:58:26.880 --> 0:58:27.280
<v Speaker 1>its sleeve.

0:58:27.600 --> 0:58:29.960
<v Speaker 3>So I think an important contrast to make here is

0:58:30.000 --> 0:58:34.400
<v Speaker 3>that with ebola. Before the twenty fourteen outbreak, there had

0:58:34.440 --> 0:58:36.840
<v Speaker 3>been a lot of funding to study ebola, and there

0:58:36.880 --> 0:58:40.440
<v Speaker 3>had been vaccines that were in development, but funding for

0:58:40.520 --> 0:58:43.320
<v Speaker 3>those had often dried up, and so while they had

0:58:43.400 --> 0:58:47.080
<v Speaker 3>been started down the long road of vaccine development. They

0:58:47.120 --> 0:58:50.160
<v Speaker 3>hadn't made it all the way with zica. People have

0:58:50.280 --> 0:58:54.720
<v Speaker 3>been starting completely from scratch. So the World Health Organization

0:58:54.840 --> 0:58:58.000
<v Speaker 3>has a pretty awesome Actually, I can't believe I just

0:58:58.040 --> 0:59:00.960
<v Speaker 3>found out about this. They have a vaccine development tracker,

0:59:01.040 --> 0:59:03.160
<v Speaker 3>and I'll definitely put a link to it on our website.

0:59:03.360 --> 0:59:05.720
<v Speaker 3>But on this you can see the status of vaccine

0:59:05.720 --> 0:59:09.600
<v Speaker 3>development for a whole number of different diseases, including zecavirus.

0:59:10.280 --> 0:59:12.960
<v Speaker 3>So there are yeah, it's very cool. There are a

0:59:13.000 --> 0:59:15.400
<v Speaker 3>lot of different groups that are working on it, and

0:59:15.440 --> 0:59:17.840
<v Speaker 3>you can see exactly what phase they're in. So at

0:59:17.840 --> 0:59:21.320
<v Speaker 3>this point, basically all of the Zeka vaccines are in

0:59:21.400 --> 0:59:25.040
<v Speaker 3>phase one trials. There's two that are in phase two trials.

0:59:25.720 --> 0:59:26.120
<v Speaker 2>Okay.

0:59:26.680 --> 0:59:30.000
<v Speaker 3>Phase one is essentially just making sure that this vaccine

0:59:30.040 --> 0:59:34.040
<v Speaker 3>is safe and not going to kill people or maime them.

0:59:33.840 --> 0:59:36.360
<v Speaker 2>So you just give importance it's really important.

0:59:36.440 --> 0:59:38.920
<v Speaker 3>You just give the vaccine to a small number of people,

0:59:39.800 --> 0:59:42.640
<v Speaker 3>probably in various dosages, and you're just trying to make

0:59:42.680 --> 0:59:44.760
<v Speaker 3>sure that it doesn't make anybody sick or cause any

0:59:44.800 --> 0:59:48.800
<v Speaker 3>serious adverse reactions. Phase two is when you actually try

0:59:48.840 --> 0:59:52.480
<v Speaker 3>and see if it works, which is harder to do.

0:59:53.320 --> 0:59:56.000
<v Speaker 3>It's not testing it against anything else. That's phase three,

0:59:56.040 --> 0:59:59.120
<v Speaker 3>where you have like controls, right, Yeah, so it's just

0:59:59.160 --> 1:00:01.600
<v Speaker 3>trying to see if it's a effective at all. And

1:00:01.640 --> 1:00:05.680
<v Speaker 3>this is hard for well, it's hard for vaccines in general,

1:00:05.680 --> 1:00:08.440
<v Speaker 3>but it's really hard for diseases that have low incidents

1:00:09.840 --> 1:00:14.440
<v Speaker 3>because if you're never exposed to a disease, you can't

1:00:14.440 --> 1:00:17.760
<v Speaker 3>really really test if it works. But we also can't

1:00:17.800 --> 1:00:23.120
<v Speaker 3>give people diseases that's not a thick hole. So what

1:00:23.200 --> 1:00:27.080
<v Speaker 3>you can do is test for an immune response, so

1:00:27.240 --> 1:00:29.040
<v Speaker 3>you can give people a vaccine and then you can

1:00:29.120 --> 1:00:31.640
<v Speaker 3>test their blood after a certain period of time to

1:00:31.680 --> 1:00:36.160
<v Speaker 3>make sure that they're actually making antibodies against the vaccine components.

1:00:36.880 --> 1:00:40.600
<v Speaker 3>So cool. So that's the stage that two of the

1:00:40.680 --> 1:00:43.000
<v Speaker 3>vaccines are in, but most of them are still just

1:00:43.040 --> 1:00:45.600
<v Speaker 3>in phase one, where they're just trying to make sure

1:00:45.640 --> 1:00:50.720
<v Speaker 3>that their vaccines don't kill anybody. And that's what's happening

1:00:50.720 --> 1:00:52.280
<v Speaker 3>with Zeka research.

1:00:53.000 --> 1:00:53.880
<v Speaker 2>That's pretty cool.

1:00:53.960 --> 1:00:57.640
<v Speaker 3>It's pretty cool. It's been very quickly added to the

1:00:57.760 --> 1:01:03.240
<v Speaker 3>who's list of priority diseases. So yeah, it's a I

1:01:03.240 --> 1:01:06.800
<v Speaker 3>think probably very exciting time to work in the ZEKA field.

1:01:07.480 --> 1:01:08.720
<v Speaker 2>Yeah, I can imagine.

1:01:08.800 --> 1:01:14.240
<v Speaker 1>So I have a question, Okay, only five to fifteen

1:01:14.280 --> 1:01:18.960
<v Speaker 1>percent of women who are infected with ZECA while pregnant

1:01:19.600 --> 1:01:24.960
<v Speaker 1>have an adverse outcome, right, are there any other outcomes

1:01:25.040 --> 1:01:28.920
<v Speaker 1>associated with the ninety five to eighty five percent of

1:01:28.920 --> 1:01:33.800
<v Speaker 1>women who are not, so something like are there developmental

1:01:33.840 --> 1:01:36.920
<v Speaker 1>disorders in otherwise, you know, physically healthy children, Are there

1:01:36.920 --> 1:01:39.640
<v Speaker 1>anything that's diagnosed at a higher rate, anything like that.

1:01:39.760 --> 1:01:41.520
<v Speaker 3>It's a good question, and I don't think that we

1:01:41.600 --> 1:01:44.200
<v Speaker 3>know yet at this point, because remember that since the

1:01:44.240 --> 1:01:46.800
<v Speaker 3>first time that we found out that even microcephaly was

1:01:46.800 --> 1:01:50.760
<v Speaker 3>a thing associated with ZICA was just two years ago.

1:01:50.920 --> 1:01:53.320
<v Speaker 1>But some of those kids, presumably from like the Yap

1:01:53.360 --> 1:01:57.800
<v Speaker 1>outbreak or the French Polynesia, would be right, But that.

1:01:57.760 --> 1:02:00.080
<v Speaker 3>Would mean that people would have to be doing study

1:02:00.240 --> 1:02:02.120
<v Speaker 3>on those people now, and I don't know that they are.

1:02:02.320 --> 1:02:04.680
<v Speaker 3>So I would guess that I know that in Brazil

1:02:04.760 --> 1:02:07.120
<v Speaker 3>there are definitely longitudinal studies that are being done and

1:02:07.160 --> 1:02:09.760
<v Speaker 3>are probably following up on those exact outcomes, But I

1:02:09.760 --> 1:02:14.200
<v Speaker 3>don't know if people have looked back to see in

1:02:14.880 --> 1:02:18.560
<v Speaker 3>older kids if there's any other effects. I'm not sure.

1:02:18.600 --> 1:02:21.280
<v Speaker 3>It's a really good question, though, because it definitely, you know,

1:02:21.360 --> 1:02:29.720
<v Speaker 3>seems possible, right, Yeah, that's sika. Wow, it's a scarier

1:02:29.760 --> 1:02:34.720
<v Speaker 3>one than I gave it credit for when I first

1:02:34.960 --> 1:02:36.160
<v Speaker 3>heard about it, that's for sure.

1:02:36.200 --> 1:02:38.120
<v Speaker 2>Oh yeah, it's a scary one.

1:02:38.160 --> 1:02:43.480
<v Speaker 1>It's a sad one, and it's definitely present tense future

1:02:43.520 --> 1:02:44.760
<v Speaker 1>tense verbs apply here.

1:02:44.840 --> 1:02:48.560
<v Speaker 3>Yeah. Absolutely. It will be very interesting, I think, to

1:02:48.680 --> 1:02:56.400
<v Speaker 3>see if there is continued cases and continued sort of

1:02:56.400 --> 1:03:00.760
<v Speaker 3>epidemics of microcephaly or in the Americas, or if this

1:03:00.960 --> 1:03:05.920
<v Speaker 3>becomes like it perhaps was in Africa, just sort of

1:03:05.920 --> 1:03:09.480
<v Speaker 3>an endemic disease that people get exposed to in childhood

1:03:09.560 --> 1:03:14.160
<v Speaker 3>and then we no longer see it as affecting pregnant

1:03:14.160 --> 1:03:16.520
<v Speaker 3>women because women have been exposed to it when they're younger.

1:03:16.560 --> 1:03:19.840
<v Speaker 3>It's going to be really interesting to follow Zeka over

1:03:19.840 --> 1:03:20.800
<v Speaker 3>the next few decades.

1:03:21.520 --> 1:03:26.400
<v Speaker 2>Yeah, absolutely, yeah, uh sourceness. Yeah.

1:03:27.440 --> 1:03:31.880
<v Speaker 1>I have some papers that I will put on the website.

1:03:32.200 --> 1:03:35.320
<v Speaker 1>And I also, as I mentioned earlier, the book Zeka

1:03:35.320 --> 1:03:38.680
<v Speaker 1>by Donald McNeil, which was written in twenty sixteen before

1:03:38.960 --> 1:03:42.360
<v Speaker 1>the Olympics, right on the heels of that first or

1:03:42.400 --> 1:03:44.000
<v Speaker 1>of the big Brazil outbreak.

1:03:44.320 --> 1:03:49.320
<v Speaker 3>Cool. I have a number of articles, the one I

1:03:49.400 --> 1:03:51.560
<v Speaker 3>do want to shout out that I thought was super

1:03:51.560 --> 1:03:57.280
<v Speaker 3>interesting was by Thomas Morrison and Michael Diamond. That is

1:03:57.480 --> 1:04:01.600
<v Speaker 3>a summary of animal models. We will, as always, link

1:04:01.680 --> 1:04:04.000
<v Speaker 3>to all of the articles and books that we used

1:04:04.000 --> 1:04:07.280
<v Speaker 3>in this episode on our website that's this podcast Will

1:04:07.320 --> 1:04:10.520
<v Speaker 3>Kill You dot com slash episodes, so you can find

1:04:10.560 --> 1:04:12.840
<v Speaker 3>all of our sources from every episode there.

1:04:14.440 --> 1:04:18.200
<v Speaker 1>And and thanks to Bloodmobile for providing the music for

1:04:18.280 --> 1:04:20.440
<v Speaker 1>this episode and all of our episodes.

1:04:20.520 --> 1:04:28.080
<v Speaker 3>Love yeah, and thank you dearest listeners, listeners to our ramblings.

1:04:29.280 --> 1:04:32.640
<v Speaker 2>We love you, Yes we do. It's the best.

1:04:33.200 --> 1:04:38.040
<v Speaker 1>It is, Okay, until next time, wash your hands, you

1:04:38.240 --> 1:05:02.920
<v Speaker 1>filthy animals. U.