WEBVTT - Ep 140 Nipah virus: Of Fruit and Bats

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<v Speaker 1>I was so overcome by sadness that as soon as

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<v Speaker 1>we completed capturing the required electron micrograph images, I requested

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<v Speaker 1>doctor Crop to use the phone in CDC and called

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<v Speaker 1>up my head in Malaysia. I managed to get him

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<v Speaker 1>at home. I still remember vividly what I told him

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<v Speaker 1>over the phone. Professor lamb Tua hear calling from CDC

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<v Speaker 1>for Collins. Professor listen, listen carefully under the electron microscope.

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<v Speaker 1>The virus has the morphology of a paramixavirus. For God's sake,

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<v Speaker 1>please do not talk about Japanese encephalitis anymore. I'm quite

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<v Speaker 1>sure now it's a paramixavirus. Most likely it is a

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<v Speaker 1>new paramixavirus. The control measures for paramixavirus are totally different

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<v Speaker 1>from Japanese and cephalitis virus. Please, I want you to

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<v Speaker 1>urgently pass this message to the Ministry of Health to

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<v Speaker 1>stop all the Japanese encephalitis control measures and switch over

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<v Speaker 1>to the following control measures. Professor listen carefully. You must

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<v Speaker 1>pass the information of what I have just said to

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<v Speaker 1>the Ministry of Health as soon as possible. I'll get

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<v Speaker 1>doctor Bruce Crop to process the electron micross could be

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<v Speaker 1>photographed and fax it to you as soon as it

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<v Speaker 1>is ready. There was a fairly long silence and he

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<v Speaker 1>did not reply to my words.

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<v Speaker 2>Wow, Aaron, Wow.

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<v Speaker 1>Yeah. So that was from a paper titled the Discovery

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<v Speaker 1>of Nepavirus, a personal account, written of course by Chua

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<v Speaker 1>Copping doctor Chua, who, well you'll hear later from him

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<v Speaker 1>more in the episode, played a really pivotal role in

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<v Speaker 1>the discovery of nepovirus. And I just like this paper.

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<v Speaker 1>It's a personal account of his experience. It's amazing and

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<v Speaker 1>so like, this is just a small little excerpt from it,

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<v Speaker 1>but really the whole thing is so invaluable because I

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<v Speaker 1>think it shows what was he feeling, what was he

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<v Speaker 1>thinking every sort of step of the way, what was

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<v Speaker 1>it like to be there? And we don't really get

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<v Speaker 1>that very much.

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<v Speaker 2>Yeah, to like understand from a first person account of

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<v Speaker 2>someone who was actively working on this during this outbreak,

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<v Speaker 2>on this infection, trying to help trying to figure out

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<v Speaker 2>what was going on, Like, Yeah, what did that feel like?

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<v Speaker 2>What was that like? We don't get to see that

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<v Speaker 2>very much anymore.

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<v Speaker 1>We don't, And that's why I just I love it.

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<v Speaker 1>Go read it. Hi.

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<v Speaker 2>I'm Aaron Welsh and I'm Erin Alman Upday.

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<v Speaker 1>And this is this podcast will kill You.

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<v Speaker 2>Welcome to today's episode.

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<v Speaker 1>Today to today's episode today on Nepa virus.

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<v Speaker 2>Nepa virus.

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<v Speaker 1>Yeah, at least a few of you have suggested this.

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<v Speaker 1>It's been on our list for a really long time,

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<v Speaker 1>and it's been It's been really interesting to kind of

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<v Speaker 1>finally dig into Like I knew what it was, I'm like, oh, yeah, okay,

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<v Speaker 1>this really deadly virus spillover, et cetera. That's whatever. But

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<v Speaker 1>then to actually read about it, I'm like, oh, all right, Yeah.

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<v Speaker 2>To actually get to spend the time to dig into it,

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<v Speaker 2>It's it's going to be a great episode. I'm super excited.

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<v Speaker 1>It's going to be a great episode. Also because we

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<v Speaker 1>are going to be chatting with an expert guest later

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<v Speaker 1>in the episode.

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<v Speaker 2>Our favorite thing to do, Kearn's gone to get this season,

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<v Speaker 2>I know, I know.

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<v Speaker 1>And also we're gonna ask them to pick up the

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<v Speaker 1>slack that we will be dropping when it comes to

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<v Speaker 1>talking about the ecological factors that contribute to outbreaks of nepavirus.

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<v Speaker 1>So doctor Cliff McKee, who is a research associate at

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<v Speaker 1>Johns Hopkins Bloomberg School of Public Health will be joining

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<v Speaker 1>us to talk about the dynamics of pathogen spillover events

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<v Speaker 1>from bats to humans. So excited, So excited? I wait,

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<v Speaker 1>me too, But we have a lot to cover before

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<v Speaker 1>we get there, including it's quarantine eytime. What are we

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<v Speaker 1>drinking this week?

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<v Speaker 2>We're drinking when pigs fly, which will make sense. It'll

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<v Speaker 2>make sense later in the episode. It will, it will,

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<v Speaker 2>it will. It's you know, bats, pigs whatever.

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<v Speaker 1>We'll get there, and the quarantining itself is quite a

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<v Speaker 1>delicious one. It has rum, it has mangos, it has lime,

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<v Speaker 1>passion fruit. You know, it's tasty, and we will post

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<v Speaker 1>the full recipe on our website. This podcast will kill

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<v Speaker 2>it out. It's a great, It's great, and that's it.

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<v Speaker 2>That's all I got. Oh and rate, review and subscribe

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<v Speaker 2>if you if you haven't done that already. If you have,

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<v Speaker 2>thank you so much. We really really appreciate it. It helps

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<v Speaker 2>us keep making the pod.

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<v Speaker 1>It's true. Let's get started, Aaron, Okay, right after this break.

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<v Speaker 2>So, NEPA virus is an RNA virus in the family

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<v Speaker 2>paramix of your which a longtime fans of the pod

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<v Speaker 2>might be familiar with, because we've actually covered some other

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<v Speaker 2>PARAMIXA viruses on this podcast before Measles is a paramix

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<v Speaker 2>of virus, mumps is a paramix of virus. Other ones

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<v Speaker 2>you might have heard of include the para influenza viruses,

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<v Speaker 2>which cause common colds. Can't forget about Render.

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<v Speaker 1>Pests, Render Pest one of I think one of my

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<v Speaker 1>favorite episodes. A great success story when it comes to

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<v Speaker 1>public health or wildlife health, or veterinary health, One Health Health,

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<v Speaker 1>One Health. That's the thing, One Health.

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<v Speaker 2>Also, Hendra virus, which we have not yet covered but

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<v Speaker 2>we will someday, is the most closely related to NPA virus.

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<v Speaker 2>So nepa virus and hendravirus are both in the family

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<v Speaker 2>paramix of Iriday and the genus they kind of have

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<v Speaker 2>their own, which is called henipa virus. I think it's

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<v Speaker 2>a combination of hendra and NPA virus. It stands creative. Now.

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<v Speaker 2>I don't want to bury the lead here too much

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<v Speaker 2>for anyone who didn't request nepavirus, who's maybe never heard

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<v Speaker 2>of this thing and is wondering why the heck we're

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<v Speaker 2>covering this virus that they've never heard of. Nepovirus has

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<v Speaker 2>been named one of the top ten highest priority pathogens

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<v Speaker 2>for the World Health Organization to focus on in terms

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<v Speaker 2>of the development of countermeasures. That means focus on vaccines,

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<v Speaker 2>focus on developing treatments, focus on prevention. And the reason

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<v Speaker 2>is because NEPA virus has huge pandemic potential, so not

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<v Speaker 2>to jump ahead too much. But not only is this

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<v Speaker 2>virus capable of spreading person to person, not only has

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<v Speaker 2>it continued to pop up and spread to new places

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<v Speaker 2>year after year, as we'll talk about, but Nepa virus

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<v Speaker 2>is also one of the most fatal infections that we've

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<v Speaker 2>seen in humans. Case fatality rates on the low end

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<v Speaker 2>tend to be around at least forty percent, and in

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<v Speaker 2>many outbreaks they've been upwards of ninety percent of cases.

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<v Speaker 1>It is unreal.

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<v Speaker 2>It is terrifying in all honesty. Yeah, yeah, So it's

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<v Speaker 2>a big deal virus and you're gonna learn all about

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<v Speaker 2>it today. So NPA virus primary reservoir is bats, so

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<v Speaker 2>in nature, in the wild, it lives specifically in bats

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<v Speaker 2>in the genus Teropis terrapus terrapus. I think I decided

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<v Speaker 2>it's terrapists.

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<v Speaker 1>We had a conversation about this, and I have forgotten

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<v Speaker 1>what we landed on.

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<v Speaker 2>I looked it up several times and then I pronounced

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<v Speaker 2>it wrong the first time. I just said it it's terrapists.

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<v Speaker 2>These are flying foxes, fruit bats. Right, There's a few

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<v Speaker 2>different species, but for much of the distribution of NEPA

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<v Speaker 2>virus that we've studied so far, it's predominantly Terrapus medius

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<v Speaker 2>that's been implicated in NPA transmission thus far, and NEPA

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<v Speaker 2>has outbreaks in humans in a number of different countries

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<v Speaker 2>across South and Southeastern Asia and the Pacific, including India, Malaysia, Singapore,

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<v Speaker 2>the Philippines, and Bangladesh. But the bats that carry these

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<v Speaker 2>viruses are distributed really widely across Asia, the Pacific, Australia,

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<v Speaker 2>even parts of Africa. The majority of cases thus far,

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<v Speaker 2>like by far, have occurred as the result of spillover events,

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<v Speaker 2>So this is a zoonotic disease primarily, and most of

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<v Speaker 2>the spillover events have happened either from bats to humans

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<v Speaker 2>like a little bit directly, or from bats to domestic animals,

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<v Speaker 2>especially pigs, and then to humans. But like I mentioned,

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<v Speaker 2>this virus has also shown that it is entirely capable

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<v Speaker 2>of being transmitted person to person as well. So let's

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<v Speaker 2>get into a little bit more detail about how this

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<v Speaker 2>virus makes its way into humans. What's interesting is that

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<v Speaker 2>so far in different geographic areas where we have seen NIPA,

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<v Speaker 2>there seems to be different modes of transmission that kind

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<v Speaker 2>of predominate. And maybe we'll ask doctor McKee a little

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<v Speaker 2>bit more detail about the ecology of this. And it

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<v Speaker 2>also might have to do with the viral strains, because

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<v Speaker 2>there's two different major viral strains in Malaysia where NEPA

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<v Speaker 2>was first detected. And I know you're going to talk

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<v Speaker 2>all about it.

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<v Speaker 1>How dare you?

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<v Speaker 2>How dare I mention that this was first detected at

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<v Speaker 2>some point in time?

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<v Speaker 1>Why do I even do anything on this podcast? I

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<v Speaker 1>just kidding.

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<v Speaker 2>So in Malaysia, where it was first detected, outbreaks have

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<v Speaker 2>been associated with contact specifically with intermediate hosts, mostly pigs,

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<v Speaker 2>and it's thought that these pigs got infected by eating

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<v Speaker 2>fruit that was mostly bitten or possibly poopter peed on

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<v Speaker 2>by bats, and then humans got infected via direct contact

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<v Speaker 2>with those domestic animals, either through things like slaughterhousework or

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<v Speaker 2>farm work, or through even contaminated meat. Then in the

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<v Speaker 2>Philippines we have seen outbreaks that have been associated also

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<v Speaker 2>with an intermediate host between bats and humans, but there

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<v Speaker 2>it seems to be horses and horse meat that has

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<v Speaker 2>been involved. And then in Bangladesh the primary as well

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<v Speaker 2>as India to a certain extent, the primary root of

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<v Speaker 2>transmission seems to be a little bit more directly due

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<v Speaker 2>to bat contact, but via raw date palm SAP that's

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<v Speaker 2>contaminated with either the saliva or perhaps the urine or

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<v Speaker 2>feces from infected bats because apparently bats also love raw

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<v Speaker 2>date palm sap just like humans do. So then humans

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<v Speaker 2>essentially ingest this contaminated SAP and then become infected that way.

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<v Speaker 2>There also have been cases where humans might have come

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<v Speaker 2>in direct contact with bats or bat feces, bat urine

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<v Speaker 2>something like that and gotten infected, like truly directly from bats.

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<v Speaker 1>And this is ingestion. This is through ingestion.

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<v Speaker 2>As far as I could tell. Yeah, I mean it's

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<v Speaker 2>coming in contact with this date palm sap and what

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<v Speaker 2>you do with it is you drink it.

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<v Speaker 1>So yes, But like when we're like thinking about pigs

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<v Speaker 1>and stuff like that, like is the contact again through

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<v Speaker 1>or is it respiratory?

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<v Speaker 2>Like what great question? Great question with pigs and intermediate hosts. No,

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<v Speaker 2>it's not necessarily ingestion. You could get infected from contaminated meat,

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<v Speaker 2>but even then it isn't necessarily from ingesting the meat,

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<v Speaker 2>because if you cook it then you're going to be

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<v Speaker 2>killing this virus. It's it's heat labile, but it's getting

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<v Speaker 2>in contact with things like respiratory secretions or bloodborne products,

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<v Speaker 2>like anything from this animal that has virus in it

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<v Speaker 2>could then be transmitted to people. But the part that

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<v Speaker 2>makes this virus a BSL for a Biosafety Level four pathogen,

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<v Speaker 2>a pathogen of pandemic potential is that in many of

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<v Speaker 2>the outbreaks there is also evidence of person to person transmission,

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<v Speaker 2>and this is usually with contact with respiratory secretions, but

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<v Speaker 2>it's very likely that other bodily fluids can also transmit.

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<v Speaker 2>It's just that respiratory secretions are thought to be the

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<v Speaker 2>main component of transmission when it's person to person.

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<v Speaker 1>Question, does the strain or the root of transmission originally

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<v Speaker 1>if it's a spillover event, does the strain then impact

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<v Speaker 1>the ability of it to become transmitted person to person?

0:14:54.600 --> 0:14:59.040
<v Speaker 1>And is that more likely from like the like from

0:14:59.040 --> 0:15:02.400
<v Speaker 1>that direct to human rather than batpig human?

0:15:03.440 --> 0:15:08.520
<v Speaker 2>Excellent questions. So yes, the first part of the question.

0:15:08.640 --> 0:15:10.160
<v Speaker 2>So the first part of the question is do the

0:15:10.200 --> 0:15:12.640
<v Speaker 2>strains seem to make a difference in whether they're transmitted

0:15:12.680 --> 0:15:16.360
<v Speaker 2>person to person. The two main strains are the strain

0:15:16.840 --> 0:15:20.000
<v Speaker 2>from the kind of original outbreak or couple of outbreaks

0:15:20.000 --> 0:15:23.720
<v Speaker 2>in Malaysia, and then the strains that were first identified

0:15:23.760 --> 0:15:27.479
<v Speaker 2>in Bangladesh. Those are kind of the two main lineages.

0:15:27.600 --> 0:15:30.680
<v Speaker 2>It seems we have a lot more data on strains

0:15:30.720 --> 0:15:34.200
<v Speaker 2>from Bangladesh, like you know, sub strains or whatever from

0:15:34.240 --> 0:15:38.920
<v Speaker 2>Bangladesh than we do from Malaysia. But in those initial outbreaks,

0:15:39.000 --> 0:15:42.760
<v Speaker 2>there was very limited evidence of person to person transmission

0:15:43.040 --> 0:15:46.440
<v Speaker 2>from what I could tell, not even like definitive evidence

0:15:46.480 --> 0:15:49.800
<v Speaker 2>of person to person transmission in those first Malaysian outbreaks.

0:15:50.240 --> 0:15:53.400
<v Speaker 2>So is that because those strains are less likely to

0:15:53.440 --> 0:15:56.680
<v Speaker 2>be transmitted person to person? Perhaps, but I don't know

0:15:56.720 --> 0:15:59.640
<v Speaker 2>that we have as much evidence to say for sure

0:16:01.120 --> 0:16:03.280
<v Speaker 2>the strains in Bangladesh are more likely to be a

0:16:03.280 --> 0:16:06.560
<v Speaker 2>transmitted person to person, But I don't think that we

0:16:06.640 --> 0:16:09.120
<v Speaker 2>have data, at least I didn't see any on whether

0:16:09.160 --> 0:16:13.280
<v Speaker 2>it's more likely to happen like how that primary person

0:16:13.360 --> 0:16:15.760
<v Speaker 2>got infected, whether it was from date palm, SAP or

0:16:15.800 --> 0:16:20.360
<v Speaker 2>from an intermediate host or from a bat. However, it's

0:16:20.520 --> 0:16:24.760
<v Speaker 2>only about ten percent of people that seem to be

0:16:25.640 --> 0:16:30.880
<v Speaker 2>spreading this person to person, which is very interesting. Overall,

0:16:30.960 --> 0:16:34.280
<v Speaker 2>it's a pretty low rate of person to person transmission

0:16:34.440 --> 0:16:38.920
<v Speaker 2>in the outbreaks that have been studied. However, there is

0:16:39.240 --> 0:16:43.560
<v Speaker 2>plenty of evidence that that chain of transmission can live

0:16:43.640 --> 0:16:46.360
<v Speaker 2>on for like several viral generations, if that makes sense.

0:16:46.400 --> 0:16:49.400
<v Speaker 2>So one person out of every ten who gets infected

0:16:49.560 --> 0:16:53.480
<v Speaker 2>is going to transmit it to someone else, but then

0:16:53.640 --> 0:16:56.400
<v Speaker 2>the person that they transmit it to can transmit it

0:16:56.440 --> 0:16:57.440
<v Speaker 2>to someone else as well.

0:16:57.920 --> 0:17:01.880
<v Speaker 1>So it's like there's something about that person that makes

0:17:02.040 --> 0:17:05.840
<v Speaker 1>them makes the virus like, hey, this is great.

0:17:06.320 --> 0:17:09.520
<v Speaker 2>Exactly we saw. I think everyone's familiar with the idea

0:17:09.560 --> 0:17:12.960
<v Speaker 2>of a super spreader after COVID. It's that same kind

0:17:13.000 --> 0:17:16.040
<v Speaker 2>of idea. We don't know right now. Is that a

0:17:16.560 --> 0:17:19.639
<v Speaker 2>characteristic of the virus that happened to infect that person,

0:17:19.800 --> 0:17:22.640
<v Speaker 2>or is it a characteristic of certain people that makes

0:17:22.640 --> 0:17:28.879
<v Speaker 2>them super spreaders in this case, we definitely do not know. Okay, okay, yeah,

0:17:29.080 --> 0:17:31.640
<v Speaker 2>So that's kind of how this is transmitted, right It's

0:17:31.800 --> 0:17:33.920
<v Speaker 2>a lot of different ways, and it really does depend

0:17:34.560 --> 0:17:38.439
<v Speaker 2>on the circumstances, and we'll get into more of the

0:17:38.480 --> 0:17:41.280
<v Speaker 2>ecology of this virus later when we talked to doctor Murckey,

0:17:41.480 --> 0:17:45.000
<v Speaker 2>But let's then talk about more of what this actually

0:17:45.000 --> 0:17:47.800
<v Speaker 2>looks like when a human does get infected, and I'm

0:17:47.840 --> 0:17:51.560
<v Speaker 2>focusing on humans, but again, this is a zoonotic pathogen,

0:17:51.640 --> 0:17:56.440
<v Speaker 2>so this is infecting and living amongst bats very readily.

0:17:57.080 --> 0:18:02.040
<v Speaker 2>And when it infects our domestic animals like daw cats, pigs, horses,

0:18:02.400 --> 0:18:05.359
<v Speaker 2>it does tend to cause symptomatic disease for the most part,

0:18:05.560 --> 0:18:08.879
<v Speaker 2>but it really varies how sick these animals get, So

0:18:08.920 --> 0:18:10.600
<v Speaker 2>I'm not going to get into detail on all of that.

0:18:11.560 --> 0:18:12.919
<v Speaker 2>Let's focus on humans, shall we.

0:18:13.800 --> 0:18:14.359
<v Speaker 1>Let's do it.

0:18:14.880 --> 0:18:17.960
<v Speaker 2>Once a human gets infected, the incubation period tends to

0:18:18.000 --> 0:18:21.359
<v Speaker 2>be between four days to two months, which is a

0:18:21.480 --> 0:18:25.480
<v Speaker 2>huge range, but over ninety percent of people who have

0:18:25.600 --> 0:18:31.080
<v Speaker 2>symptoms will have them within two weeks. Now, how many

0:18:31.080 --> 0:18:34.760
<v Speaker 2>people are going to have symptoms, We have no idea.

0:18:36.359 --> 0:18:39.680
<v Speaker 2>You can find numbers, but this is such a rare

0:18:40.000 --> 0:18:44.760
<v Speaker 2>and understudied pathogen still that estimates range between one percent

0:18:44.840 --> 0:18:48.000
<v Speaker 2>and forty five percent of people that are asymptomatic, depending

0:18:48.040 --> 0:18:51.360
<v Speaker 2>on what the study is so it's.

0:18:50.200 --> 0:18:52.600
<v Speaker 1>The biggest range we've encountered on this podcast.

0:18:52.680 --> 0:18:54.080
<v Speaker 2>It's a meaningless range.

0:18:54.240 --> 0:18:56.840
<v Speaker 1>It's entirely it's not one hundred percent.

0:18:58.240 --> 0:19:04.239
<v Speaker 2>Not everyone we know that this is true. So in

0:19:04.280 --> 0:19:07.160
<v Speaker 2>any case, there are some proportion of people who are

0:19:07.240 --> 0:19:10.280
<v Speaker 2>likely asymptomatic based on like ero logic studies that we

0:19:10.359 --> 0:19:15.520
<v Speaker 2>have seen. Okay, but for people that are symptomatic, this

0:19:15.560 --> 0:19:20.080
<v Speaker 2>is a really terrible pathogen. Symptoms tend to start after

0:19:20.119 --> 0:19:25.120
<v Speaker 2>this incubation period with pretty nonspecific kind of prodrome. These

0:19:25.160 --> 0:19:30.800
<v Speaker 2>are symptoms like a fever, headaches, muscle aches, maybe even vomiting,

0:19:31.240 --> 0:19:34.120
<v Speaker 2>but really nothing that would make you go, oh, this

0:19:34.200 --> 0:19:37.520
<v Speaker 2>sounds like nepavirus, right, It sounds like any other of

0:19:37.560 --> 0:19:40.480
<v Speaker 2>a million infections that we've covered on this podcast, or

0:19:40.520 --> 0:19:42.960
<v Speaker 2>like one hundred and something that we've covered on this podcast.

0:19:44.160 --> 0:19:48.040
<v Speaker 2>But generally within a week, within a number of days,

0:19:48.400 --> 0:19:51.600
<v Speaker 2>you start to see signs of central nervous system infection.

0:19:52.880 --> 0:19:57.120
<v Speaker 2>So this looks like things like altered mental status. Very

0:19:57.160 --> 0:20:01.199
<v Speaker 2>often we can see signs of brainstem involve and so

0:20:01.320 --> 0:20:05.439
<v Speaker 2>you might see changes in reflexes. Usually it would be

0:20:05.520 --> 0:20:08.600
<v Speaker 2>like a loss of reflexes or a decrease in reflexes.

0:20:09.480 --> 0:20:12.639
<v Speaker 2>But there's some literature where we can see like loss

0:20:12.640 --> 0:20:17.520
<v Speaker 2>of very specific reflexes that are associated with that brain

0:20:17.560 --> 0:20:20.960
<v Speaker 2>stem or that lower part of your brain dysfunction. These

0:20:20.960 --> 0:20:24.720
<v Speaker 2>are things like if you turn someone's head side to side,

0:20:25.520 --> 0:20:28.439
<v Speaker 2>in a person whose brainstem is intact but who maybe

0:20:28.480 --> 0:20:32.280
<v Speaker 2>isn't all the way conscious, their eyes should move in

0:20:32.359 --> 0:20:36.000
<v Speaker 2>the opposite direction that their head is turned, like a

0:20:36.160 --> 0:20:38.120
<v Speaker 2>like those creepy dolls that you had in your grandma's

0:20:38.119 --> 0:20:40.600
<v Speaker 2>house growing up. This is called the doll's eye reflex.

0:20:41.280 --> 0:20:44.160
<v Speaker 2>If this doesn't happen, then the eyes just stay midline

0:20:44.200 --> 0:20:47.119
<v Speaker 2>as the head moves. That's a loss of that reflex,

0:20:47.200 --> 0:20:50.440
<v Speaker 2>which is very severe, so it suggests loss of brain

0:20:50.480 --> 0:20:54.560
<v Speaker 2>stem function. There's a lot more detail to that that.

0:20:54.680 --> 0:20:57.640
<v Speaker 2>Don't please ask me about that reflex because I learned

0:20:57.680 --> 0:20:58.080
<v Speaker 2>it once.

0:20:59.200 --> 0:21:02.240
<v Speaker 1>But there are other like what I guess, other diseases

0:21:02.280 --> 0:21:06.120
<v Speaker 1>that affect the brain stem, right, what examples.

0:21:06.840 --> 0:21:09.119
<v Speaker 2>You know, that's a good question. Any kind of meningitis

0:21:09.160 --> 0:21:12.639
<v Speaker 2>that is affecting the brain stem. Yeah, yeah, okay, But

0:21:12.720 --> 0:21:15.720
<v Speaker 2>you also see things like other reflexes, like your pupillary

0:21:15.800 --> 0:21:19.840
<v Speaker 2>reflex or even just loss of muscle tone. You can

0:21:19.920 --> 0:21:22.480
<v Speaker 2>also get instead of a loss of muscle tone, you

0:21:22.480 --> 0:21:27.160
<v Speaker 2>can get these jerks like myoclonic jerks. You can see seizures,

0:21:27.640 --> 0:21:31.359
<v Speaker 2>you can see any number of these neurologic signs and

0:21:31.400 --> 0:21:34.919
<v Speaker 2>symptoms which are just telling us how severe the brain

0:21:35.280 --> 0:21:40.160
<v Speaker 2>infection is in this case, and people tend to deteriorate

0:21:40.520 --> 0:21:44.879
<v Speaker 2>very rapidly. Nepavirus, like I said, is an incredibly fatal

0:21:44.920 --> 0:21:49.040
<v Speaker 2>disease and usually within a matter of days. Forty to

0:21:49.200 --> 0:21:52.840
<v Speaker 2>ninety percent of people in most outbreaks die within a

0:21:52.920 --> 0:21:53.360
<v Speaker 2>number of.

0:21:53.359 --> 0:21:57.080
<v Speaker 1>Days, So it's two weeks you get infected, two weeks

0:21:57.119 --> 0:22:00.000
<v Speaker 1>later you start to have these sort.

0:21:59.720 --> 0:22:04.600
<v Speaker 2>Of nonspecific specific symptoms, and within a couple of days

0:22:04.800 --> 0:22:11.280
<v Speaker 2>in nervous system involvement, coma and death. Death. In some outbreaks,

0:22:11.600 --> 0:22:14.439
<v Speaker 2>there also does seem to be a substantial amount of

0:22:14.760 --> 0:22:18.879
<v Speaker 2>respiratory involvement, though not all outbreaks, which is very interesting.

0:22:19.840 --> 0:22:23.480
<v Speaker 2>So respiratory involvement looks like a cough, it can look

0:22:23.520 --> 0:22:27.200
<v Speaker 2>like an atypical pneumonia, which we've talked about on this podcast,

0:22:27.320 --> 0:22:29.800
<v Speaker 2>just means that on a chest X ray it doesn't

0:22:29.800 --> 0:22:33.800
<v Speaker 2>look like a very classic pneumonia. You can have.

0:22:33.960 --> 0:22:38.880
<v Speaker 1>I know, these are words you can't define h typical

0:22:38.920 --> 0:22:43.240
<v Speaker 1>pneumonia by saying it's just not your classic pneumonia.

0:22:43.359 --> 0:22:45.760
<v Speaker 2>So on a chest X ray, it would look like

0:22:46.040 --> 0:22:50.160
<v Speaker 2>kind of patchy involvement in the whole lungs rather than

0:22:50.520 --> 0:22:53.159
<v Speaker 2>one area of your lungs that's fully infected with a

0:22:53.240 --> 0:22:55.800
<v Speaker 2>bacterial pathogen. That's okay, I think of when we think

0:22:55.840 --> 0:22:57.040
<v Speaker 2>of pneumonia.

0:22:56.520 --> 0:22:57.440
<v Speaker 1>Of classic pneumonia.

0:22:57.440 --> 0:23:00.520
<v Speaker 2>Okay, But in general, you're going to see some degree

0:23:00.520 --> 0:23:05.040
<v Speaker 2>of respiratory distress if you have a respiratory involvement. But

0:23:05.280 --> 0:23:09.120
<v Speaker 2>this hasn't happened in all the outbreaks, so we don't

0:23:09.119 --> 0:23:12.160
<v Speaker 2>really have a great sense of like when or why

0:23:12.200 --> 0:23:17.480
<v Speaker 2>this is happening. And because this is such a fatal infection,

0:23:18.040 --> 0:23:22.119
<v Speaker 2>we don't have that much data in all honesty on

0:23:22.200 --> 0:23:25.520
<v Speaker 2>a lot of these signs and symptoms. What we do

0:23:25.720 --> 0:23:30.080
<v Speaker 2>know is that in people who survive, something like twenty

0:23:30.160 --> 0:23:34.800
<v Speaker 2>percent of them have some degree of like residual neurologic dysfunction,

0:23:35.240 --> 0:23:40.600
<v Speaker 2>which can again really range, and some proportion in some

0:23:40.720 --> 0:23:44.960
<v Speaker 2>of these outbreaks seem to also have like a relapsing encephalitis,

0:23:45.320 --> 0:23:48.439
<v Speaker 2>so looks like a new infection, but it's just a

0:23:48.560 --> 0:23:53.720
<v Speaker 2>relapse months or even years after the initial infection. How

0:23:53.760 --> 0:23:56.240
<v Speaker 2>does this happen? I have no idea.

0:23:56.400 --> 0:23:59.440
<v Speaker 1>Yeah, and they've cleared the virus from their system.

0:24:00.080 --> 0:24:02.000
<v Speaker 2>That's a great question. Do we know that for sure?

0:24:02.160 --> 0:24:03.600
<v Speaker 2>I don't know that we know that for sure.

0:24:03.840 --> 0:24:09.639
<v Speaker 1>Okay, Okay, two questions. Okay, how environmentally stable is this virus?

0:24:09.920 --> 0:24:10.920
<v Speaker 2>I knew you were going to ask.

0:24:11.000 --> 0:24:16.679
<v Speaker 1>Okay, number two, when is someone? If someone is infectious

0:24:17.080 --> 0:24:21.640
<v Speaker 1>person to person, at what point are they infectious? Pre symptoms,

0:24:21.920 --> 0:24:22.439
<v Speaker 1>et cetera.

0:24:23.440 --> 0:24:26.399
<v Speaker 2>Yeah, these are really good questions. So this virus is

0:24:26.600 --> 0:24:29.960
<v Speaker 2>fairly environmentally stable, which is part of how it can

0:24:30.000 --> 0:24:34.320
<v Speaker 2>be transmitted In things like date palm SAP. This virus

0:24:34.320 --> 0:24:37.719
<v Speaker 2>can persist for days outside of a host. One paper

0:24:37.720 --> 0:24:40.680
<v Speaker 2>that I read said that on some fruits and juices

0:24:40.720 --> 0:24:43.240
<v Speaker 2>that they have studied, it can live for up to

0:24:43.320 --> 0:24:47.479
<v Speaker 2>three days and still be transmissible in some cases. In

0:24:47.520 --> 0:24:50.080
<v Speaker 2>some studies where they have kept it colder, like around

0:24:50.119 --> 0:24:53.280
<v Speaker 2>twenty two degrees celsius, it can last for up to

0:24:53.400 --> 0:24:57.440
<v Speaker 2>seven days in something like a date SAP, But even

0:24:57.480 --> 0:25:00.280
<v Speaker 2>at higher temperatures it can survive for like a couple

0:25:00.280 --> 0:25:05.439
<v Speaker 2>of hours. So it's a pretty environmentally stable virus.

0:25:05.680 --> 0:25:09.200
<v Speaker 1>Okay, Now, how.

0:25:08.960 --> 0:25:12.520
<v Speaker 2>Transmissible are people or like when are people most transmissible?

0:25:13.080 --> 0:25:18.240
<v Speaker 2>We don't really know. That's a great question because we

0:25:18.480 --> 0:25:24.560
<v Speaker 2>know that there is some degree of asymptomatic infection. There's

0:25:24.600 --> 0:25:27.520
<v Speaker 2>a really important question of if you are asymptomatic, can

0:25:27.560 --> 0:25:30.040
<v Speaker 2>you still spread this person to person. I don't think

0:25:30.080 --> 0:25:33.919
<v Speaker 2>that we even know that necessarily. I haven't seen a

0:25:33.920 --> 0:25:36.320
<v Speaker 2>lot of data on that. But it doesn't mean that

0:25:36.359 --> 0:25:38.280
<v Speaker 2>it doesn't exist. It just means that I didn't see it.

0:25:39.720 --> 0:25:42.359
<v Speaker 2>What we can try and look at is where is

0:25:42.400 --> 0:25:46.359
<v Speaker 2>this virus replicating to try and understand where are you

0:25:46.480 --> 0:25:48.919
<v Speaker 2>most likely to be able to spread it from? Like

0:25:48.960 --> 0:25:52.680
<v Speaker 2>where is this virus living in ourselves? And even there

0:25:53.040 --> 0:25:57.480
<v Speaker 2>we don't fully know. What we think is that because

0:25:57.560 --> 0:26:01.199
<v Speaker 2>MEPA virus is often spread via rest inspiratory droplets, like

0:26:01.320 --> 0:26:06.080
<v Speaker 2>via respiratory secretions, it was long suspected and it seems

0:26:06.160 --> 0:26:09.679
<v Speaker 2>to be the case in studies so far that the

0:26:09.920 --> 0:26:14.160
<v Speaker 2>epithelial cells that line our respiratory tract are the first

0:26:14.200 --> 0:26:18.359
<v Speaker 2>target for infection and viral replication. So that would mean

0:26:18.600 --> 0:26:22.520
<v Speaker 2>that potentially early on, if this virus is infecting the

0:26:22.560 --> 0:26:28.159
<v Speaker 2>respiratory epithelium, someone could potentially be infectious relatively early in

0:26:28.640 --> 0:26:31.800
<v Speaker 2>their infection, if that makes sense, yes, okay, right, because

0:26:31.840 --> 0:26:35.320
<v Speaker 2>it's invading right there, replicating, and then potentially being able

0:26:35.359 --> 0:26:41.520
<v Speaker 2>to be spread. But NIPA is also particularly adept at

0:26:41.680 --> 0:26:48.080
<v Speaker 2>invading past our respiratory epithelium and specifically going into our microvasculature,

0:26:48.160 --> 0:26:51.239
<v Speaker 2>so our blood vessels and the cells that line our

0:26:51.280 --> 0:26:54.679
<v Speaker 2>blood vessels are endothelial cells. It's one of our favorite

0:26:54.680 --> 0:26:58.280
<v Speaker 2>cells on this podcast, sure, and that essentially means that

0:26:58.400 --> 0:27:03.359
<v Speaker 2>NEPA has direct access to our blood stream. And while

0:27:03.400 --> 0:27:07.720
<v Speaker 2>we certainly don't know everything, not even most things about

0:27:07.720 --> 0:27:11.159
<v Speaker 2>the pathophysiology of this virus, we do know that it

0:27:11.200 --> 0:27:16.120
<v Speaker 2>induces a lot of direct viral damage and immune related

0:27:16.200 --> 0:27:20.280
<v Speaker 2>damage to these endothelial cells, which means that as it

0:27:20.359 --> 0:27:23.879
<v Speaker 2>spreads via these endothelial cells in our blood stream, it

0:27:23.920 --> 0:27:26.520
<v Speaker 2>can damage things like our heart, our spleen, our liver,

0:27:26.640 --> 0:27:29.639
<v Speaker 2>our kidneys. These are all areas where our blood is

0:27:29.680 --> 0:27:35.159
<v Speaker 2>going very rapidly, and it's also causing a lot of

0:27:35.200 --> 0:27:38.320
<v Speaker 2>disruption to our blood brain barrier, which is what allows

0:27:38.480 --> 0:27:40.720
<v Speaker 2>for it to have such easy access to our central

0:27:40.760 --> 0:27:45.040
<v Speaker 2>nervous system. So how much can this continue to spread

0:27:45.119 --> 0:27:47.840
<v Speaker 2>if all of these other bodily fluids are getting infected

0:27:48.080 --> 0:27:51.320
<v Speaker 2>potentially quite a bit, But I don't know like how

0:27:51.359 --> 0:27:53.520
<v Speaker 2>infectious someone is early in the course of their infection

0:27:53.680 --> 0:27:55.679
<v Speaker 2>versus late. I didn't see data on that.

0:27:56.160 --> 0:27:56.520
<v Speaker 1>Okay.

0:27:57.640 --> 0:28:00.639
<v Speaker 2>Another thing though about NEPA virus that is just so

0:28:00.840 --> 0:28:03.879
<v Speaker 2>fascinating is that it's also thought that a secondary way

0:28:03.960 --> 0:28:07.080
<v Speaker 2>that it's getting into our brains, into our central nervous system,

0:28:07.600 --> 0:28:12.440
<v Speaker 2>is actually by traveling up our olfactory nerve. Our olfactory nerve,

0:28:12.480 --> 0:28:14.440
<v Speaker 2>which is obviously in our nose, it's what we use

0:28:14.520 --> 0:28:17.920
<v Speaker 2>to smell, is one of the nerves that gives direct

0:28:17.960 --> 0:28:20.920
<v Speaker 2>access to our brain. It's not covered by the blood

0:28:20.920 --> 0:28:24.960
<v Speaker 2>brain barrier, and so NEPA virus can essentially just hitch

0:28:24.960 --> 0:28:26.960
<v Speaker 2>a riot on this and travel up and get direct

0:28:27.000 --> 0:28:27.880
<v Speaker 2>access to our brain.

0:28:27.960 --> 0:28:34.520
<v Speaker 1>It's thought, how like, how does it get there to

0:28:34.680 --> 0:28:36.440
<v Speaker 1>our olfactory nerve?

0:28:38.160 --> 0:28:41.040
<v Speaker 2>Yeah, well, it's in our respiratory epithelium, which is in

0:28:41.080 --> 0:28:45.040
<v Speaker 2>our nose and our throat and our lungs, And how

0:28:45.040 --> 0:28:49.400
<v Speaker 2>does it get there without causing all of the flags

0:28:49.520 --> 0:28:53.560
<v Speaker 2>that our body would usually use to counter any virus. Right,

0:28:54.160 --> 0:28:57.360
<v Speaker 2>That is what makes NEPA have such a high fatality rate.

0:28:57.520 --> 0:29:00.640
<v Speaker 2>It happens to be incredibly good at if evading our

0:29:00.640 --> 0:29:03.800
<v Speaker 2>immune response. It has a protein and I think a

0:29:03.880 --> 0:29:08.760
<v Speaker 2>number of proteins that specifically inhibit a number of our cytokines,

0:29:08.800 --> 0:29:13.920
<v Speaker 2>including interferon, which basically reduces the ability of our immune

0:29:13.960 --> 0:29:18.360
<v Speaker 2>system to clear this infection. So that combined with the

0:29:18.360 --> 0:29:21.240
<v Speaker 2>fact that it's then or or because of that rather

0:29:21.560 --> 0:29:24.920
<v Speaker 2>who knows chicken and egg. But the ability to cross

0:29:24.960 --> 0:29:28.160
<v Speaker 2>our blood brain barrier and infect our central nervous system

0:29:28.880 --> 0:29:31.880
<v Speaker 2>and evade our immune system so well is what results

0:29:31.920 --> 0:29:33.800
<v Speaker 2>in such significant mortality.

0:29:34.680 --> 0:29:38.680
<v Speaker 1>So does our immune system ever recognize it? I know,

0:29:38.760 --> 0:29:42.760
<v Speaker 1>with like case fatality rates upwards of ninety percent, Like

0:29:43.280 --> 0:29:46.360
<v Speaker 1>you know, obviously at that point, either that our immune

0:29:46.360 --> 0:29:50.640
<v Speaker 1>system recognizes it too late or it doesn't recognize it ever.

0:29:50.880 --> 0:29:55.200
<v Speaker 1>Like the bottom line is, can a vaccine be made

0:29:55.600 --> 0:29:56.200
<v Speaker 1>against this?

0:29:56.840 --> 0:30:00.360
<v Speaker 2>Yeah, great question. As far as we know, we so

0:30:00.560 --> 0:30:03.400
<v Speaker 2>like people do eventually mount an antibody response to it,

0:30:03.440 --> 0:30:05.959
<v Speaker 2>and there's a lot of work being done on vaccines.

0:30:06.680 --> 0:30:10.200
<v Speaker 2>So it's very good at evading our innate immune response.

0:30:10.640 --> 0:30:14.440
<v Speaker 2>But if you could have a faster onset antibody response,

0:30:14.480 --> 0:30:17.840
<v Speaker 2>then perhaps you would be successful at not getting a

0:30:17.840 --> 0:30:22.440
<v Speaker 2>severe infection from NEPA virus. See our episode on vaccines

0:30:22.480 --> 0:30:25.640
<v Speaker 2>if you'd like to know more about these different immune responses,

0:30:26.560 --> 0:30:29.200
<v Speaker 2>because we did it in detail there way back.

0:30:29.040 --> 0:30:35.200
<v Speaker 1>When, way back when. What about like, yeah, other, are

0:30:35.240 --> 0:30:38.920
<v Speaker 1>there any immune therapies or anything like that.

0:30:39.600 --> 0:30:43.000
<v Speaker 2>Yeah, right now, we have absolutely no specific treatment for

0:30:43.000 --> 0:30:47.280
<v Speaker 2>anita at all. Okay, So nepavirus treatment is all about

0:30:47.320 --> 0:30:51.440
<v Speaker 2>supportive care. And because this is an infection that causes

0:30:51.560 --> 0:30:55.760
<v Speaker 2>such severe disease so quickly, supportive care is really like

0:30:56.120 --> 0:30:59.320
<v Speaker 2>ICU level of care, right making sure that you can

0:30:59.360 --> 0:31:02.880
<v Speaker 2>support someone airway if they stop breathing, making sure that

0:31:02.920 --> 0:31:05.600
<v Speaker 2>their fluid balance is good, like whatever is needed, but

0:31:05.640 --> 0:31:09.480
<v Speaker 2>it's very high level of care that's needed. There's a

0:31:09.520 --> 0:31:13.080
<v Speaker 2>lot of research being done on things like antivirals. Sometimes

0:31:13.120 --> 0:31:16.040
<v Speaker 2>there are antivirals that are used even though there's not

0:31:16.080 --> 0:31:19.680
<v Speaker 2>really any evidence so far that they are effective. But

0:31:19.760 --> 0:31:22.800
<v Speaker 2>it's one of those cases where medicine often feels the

0:31:22.840 --> 0:31:25.800
<v Speaker 2>need to like do something even if we don't have

0:31:25.840 --> 0:31:29.400
<v Speaker 2>any evidence that it's effective when you have nothing else

0:31:29.440 --> 0:31:33.160
<v Speaker 2>to do. But right now, that's all that we have

0:31:34.600 --> 0:31:37.239
<v Speaker 2>that is nepavirus.

0:31:37.480 --> 0:31:40.160
<v Speaker 1>It's wild. It is one of the most I mean,

0:31:40.160 --> 0:31:44.400
<v Speaker 1>besides rabies. I'm trying to think of a more preons

0:31:44.520 --> 0:31:48.200
<v Speaker 1>I guess, like a more deadly pathogen that we've covered.

0:31:48.360 --> 0:31:56.360
<v Speaker 2>I mean mnemonic plague, right, but yeah, yeah, yeah, it's

0:31:56.360 --> 0:31:58.920
<v Speaker 2>a really scary. It's a really scary. That is probably

0:31:59.000 --> 0:32:03.680
<v Speaker 2>why Contagion used NEPA as a model system in the movie,

0:32:03.800 --> 0:32:07.560
<v Speaker 2>because it is terrifying. Yep, yeah truly.

0:32:07.600 --> 0:32:11.560
<v Speaker 1>And they're like, you know, I feel like we used

0:32:11.600 --> 0:32:15.440
<v Speaker 1>to end this podcast episodes of this podcast with do

0:32:15.480 --> 0:32:16.760
<v Speaker 1>you remember that? How scary?

0:32:16.920 --> 0:32:17.120
<v Speaker 3>Yeah?

0:32:17.920 --> 0:32:19.880
<v Speaker 2>Yeah, I forgot about This's been a minute since we've

0:32:19.920 --> 0:32:20.280
<v Speaker 2>done that.

0:32:20.720 --> 0:32:23.560
<v Speaker 1>I think we could bring it back for this episode.

0:32:23.680 --> 0:32:25.400
<v Speaker 2>We could. We can talk about it at the end.

0:32:25.720 --> 0:32:31.120
<v Speaker 2>Yeah yeah. So Aarin, tell us, how did NEPA come

0:32:31.160 --> 0:32:32.400
<v Speaker 2>to be with us here?

0:32:35.800 --> 0:32:54.480
<v Speaker 1>I will attempt an answer right after this break. Peninsular

0:32:54.680 --> 0:33:00.200
<v Speaker 1>Malaysia nineteen ninety seven to nineteen ninety eight. Okay, at first,

0:33:00.440 --> 0:33:04.680
<v Speaker 1>it was just the pigs. Sick pigs were not a

0:33:04.960 --> 0:33:08.720
<v Speaker 1>totally unfamiliar site in this part of the country. There

0:33:08.720 --> 0:33:13.680
<v Speaker 1>were occasional outbreaks of classical swine fever aka hog cholera,

0:33:14.280 --> 0:33:17.200
<v Speaker 1>caused by a flava virus called pesti virus C.

0:33:17.440 --> 0:33:20.560
<v Speaker 2>In case you were interested, I'm sorry, just like I

0:33:20.560 --> 0:33:22.320
<v Speaker 2>don't want to interrupt, but like, why do we have

0:33:22.400 --> 0:33:25.040
<v Speaker 2>to call things that are not the same thing the

0:33:25.080 --> 0:33:29.080
<v Speaker 2>same thing? Hog colera not being cholera. That's annoying, stomach flew.

0:33:29.600 --> 0:33:36.160
<v Speaker 2>I can't, I can't think of anything else, but yeah, yeah, okay, anyways, anyway, no.

0:33:36.480 --> 0:33:42.400
<v Speaker 1>I totally I hear you. Something called Auzeski's disease aka

0:33:42.440 --> 0:33:46.680
<v Speaker 1>pseudo rabies. Oh my god, caused by a type of

0:33:47.040 --> 0:33:48.320
<v Speaker 1>vercella virus.

0:33:48.480 --> 0:33:50.160
<v Speaker 2>Okay, are you serious?

0:33:50.240 --> 0:33:50.840
<v Speaker 1>I'm serious.

0:33:50.840 --> 0:33:52.520
<v Speaker 2>It gets worse, Sarah, I know, I know.

0:33:53.640 --> 0:33:57.560
<v Speaker 1>And poor scene reproductive and respiratory syndrome caused by a

0:33:57.600 --> 0:34:01.760
<v Speaker 1>type of virus called beta art teary virus sued one.

0:34:02.600 --> 0:34:06.280
<v Speaker 1>If you're interested. There are so many pig pathogens, okay,

0:34:06.840 --> 0:34:10.160
<v Speaker 1>and the disease that was making its way through pig

0:34:10.239 --> 0:34:14.880
<v Speaker 1>farms in this region of peninsular Malaysia didn't seem super

0:34:14.920 --> 0:34:19.200
<v Speaker 1>different than those more familiar ones. A few symptoms stood out,

0:34:19.760 --> 0:34:26.520
<v Speaker 1>pronounced neurological syndrome, including agitation and head pressing, tetanus like

0:34:26.640 --> 0:34:32.920
<v Speaker 1>spasm and seizures, uncontrollable eye movements, trembling in twitches, uncoordinated gait,

0:34:33.480 --> 0:34:37.160
<v Speaker 1>and generalized pain. And then in the pigs there were

0:34:37.200 --> 0:34:42.040
<v Speaker 1>also some acute respiratory signs, rapid and labored breathing developing

0:34:42.120 --> 0:34:46.640
<v Speaker 1>into a loud, harsh cough, which later then gave the

0:34:46.880 --> 0:34:50.840
<v Speaker 1>common name for the disease and pigs called barking pig syndrome.

0:34:52.239 --> 0:34:55.480
<v Speaker 1>But even though there were some cases of sudden death

0:34:55.520 --> 0:34:59.720
<v Speaker 1>in infected pigs, the rates of infection and mortality weren't

0:34:59.760 --> 0:35:03.120
<v Speaker 1>all that high, or at least not high enough to

0:35:03.200 --> 0:35:07.360
<v Speaker 1>cause immediate and pressing concern, and so the new disease

0:35:07.760 --> 0:35:12.360
<v Speaker 1>wasn't immediately identified or recognized to be a new disease.

0:35:13.760 --> 0:35:17.960
<v Speaker 1>Then people started to get sick. In late September of

0:35:18.080 --> 0:35:21.360
<v Speaker 1>nineteen ninety eight, several people who worked on pig farms

0:35:21.400 --> 0:35:24.320
<v Speaker 1>in the suburbs of epo A City and the state

0:35:24.360 --> 0:35:28.040
<v Speaker 1>of Perak in the northwest part of the peninsula also

0:35:28.239 --> 0:35:34.680
<v Speaker 1>began to show signs of illness headache, fever, drowsiness, vomiting,

0:35:34.840 --> 0:35:41.200
<v Speaker 1>altered mental state, sometimes progressing to fatal encephalitis, and this,

0:35:41.680 --> 0:35:47.320
<v Speaker 1>while absolutely cause for concern, it also didn't immediately throw

0:35:47.400 --> 0:35:51.800
<v Speaker 1>up red flags as a new illness. Initially, people thought

0:35:51.840 --> 0:35:56.080
<v Speaker 1>this was an outbreak of Japanese encephalitis virus, which we

0:35:56.239 --> 0:35:57.280
<v Speaker 1>have not done yet.

0:35:57.680 --> 0:35:59.640
<v Speaker 2>No, it's on our list, but I don't even know

0:35:59.680 --> 0:36:01.440
<v Speaker 2>if it's on our short list for this season.

0:36:01.600 --> 0:36:05.560
<v Speaker 1>I don't think that it is, which is kind of surprising.

0:36:05.680 --> 0:36:08.520
<v Speaker 1>But there's a yeah anyway, there's a lot. Yeah, there's

0:36:08.560 --> 0:36:12.280
<v Speaker 1>a lot Japanese andencephalitis virus. Though the relevant thing here

0:36:12.360 --> 0:36:16.879
<v Speaker 1>to know is that it's transmitted through mosquitoes, and this

0:36:17.080 --> 0:36:21.480
<v Speaker 1>wasn't a wild guess. Japanese encephalitis virus was present in

0:36:21.520 --> 0:36:25.640
<v Speaker 1>the area. Four of twenty eight samples from patients with

0:36:25.960 --> 0:36:32.120
<v Speaker 1>encephalitis tested positive for antibodies against Japanese encephalitis virus, and

0:36:32.239 --> 0:36:35.879
<v Speaker 1>as people continued to get sick, their serum contained not

0:36:35.920 --> 0:36:40.560
<v Speaker 1>just antibodies against the virus, but also Japanese encephalitis virus

0:36:40.960 --> 0:36:47.920
<v Speaker 1>nucleic acids, which suggested current or recent infection with the virus. Later,

0:36:48.280 --> 0:36:51.719
<v Speaker 1>many of these samples were actually found to be false positives,

0:36:51.840 --> 0:36:54.880
<v Speaker 1>so it's probably a case of like the threshold being

0:36:55.040 --> 0:37:00.719
<v Speaker 1>too low for throwing up a positive sign. Given this

0:37:00.880 --> 0:37:05.520
<v Speaker 1>evidence suggesting that the region had an ongoing Japanese encephalitis

0:37:05.600 --> 0:37:09.560
<v Speaker 1>virus outbreak, the Ministry of Health took action against it

0:37:09.640 --> 0:37:14.000
<v Speaker 1>to try to prevent additional cases, which involved intensive fogging

0:37:14.040 --> 0:37:19.600
<v Speaker 1>with insecticides in the outbreak, areas administering thousands of doses

0:37:19.680 --> 0:37:23.759
<v Speaker 1>of Japanese encephalitis virus vaccine to those who lived near

0:37:23.920 --> 0:37:26.040
<v Speaker 1>or worked on the pig farms because that's where the

0:37:26.080 --> 0:37:31.399
<v Speaker 1>concentration of cases seemed to be happening. But after all

0:37:31.440 --> 0:37:35.879
<v Speaker 1>of these measures, instead of cases dropping as you might

0:37:35.920 --> 0:37:41.080
<v Speaker 1>expect if it was caused by Japanese encephalitis virus, they

0:37:41.120 --> 0:37:46.880
<v Speaker 1>continued to rise and making matters even scarier. The disease

0:37:47.000 --> 0:37:50.520
<v Speaker 1>was no longer restricted to just the area outside of

0:37:50.560 --> 0:37:53.719
<v Speaker 1>the city of Epo. Some of the farmers who were

0:37:53.760 --> 0:37:57.440
<v Speaker 1>affected in this outbreak had sold their pigs in a

0:37:57.480 --> 0:38:01.800
<v Speaker 1>fire sale, which led to pigs being burst across the country,

0:38:02.680 --> 0:38:05.080
<v Speaker 1>and these types of sales were a common occurrence in

0:38:05.120 --> 0:38:09.719
<v Speaker 1>Peninsular Malaysia, which at the time had a pig population

0:38:09.840 --> 0:38:14.600
<v Speaker 1>of two point four million. But unfortunately, some of the

0:38:14.640 --> 0:38:19.640
<v Speaker 1>pigs sold brought with them this mysterious infection, and in

0:38:19.680 --> 0:38:22.759
<v Speaker 1>December of nineteen ninety eight and January of nineteen ninety nine,

0:38:23.239 --> 0:38:28.080
<v Speaker 1>cases of encephalitis in humans began popping up elsewhere in

0:38:28.120 --> 0:38:32.719
<v Speaker 1>the country, especially in an area about three hundred kilometers

0:38:32.760 --> 0:38:35.560
<v Speaker 1>south of Epo in the state of Negrius and Balon.

0:38:36.520 --> 0:38:41.200
<v Speaker 1>Still the thought was this is Japanese and cephalitis virus.

0:38:41.200 --> 0:38:42.960
<v Speaker 1>Like it was still like, well, it has to be this.

0:38:43.120 --> 0:38:46.280
<v Speaker 1>We just have a bad year for mosquitoes, the viruses

0:38:46.280 --> 0:38:49.759
<v Speaker 1>in the mosquitoes. This is how it is. Yeah, And

0:38:49.840 --> 0:38:53.880
<v Speaker 1>so more prevention measures were carried out, more fogging, more insecticide,

0:38:54.040 --> 0:38:59.080
<v Speaker 1>more administration of Japanese and cephalitis virus vaccines, and according

0:38:59.160 --> 0:39:04.440
<v Speaker 1>to a researcher involved in the outbreak, the governmental authorities

0:39:04.680 --> 0:39:10.160
<v Speaker 1>seemed really intent only on confirming that this was Japanese

0:39:10.200 --> 0:39:15.720
<v Speaker 1>encephalitis virus, not so much exploring other options, like, for instance,

0:39:15.800 --> 0:39:19.680
<v Speaker 1>if this was a totally new pathogen that needed completely

0:39:19.719 --> 0:39:24.400
<v Speaker 1>different containment strategies than those used for Japanese and cephalitis virus.

0:39:25.840 --> 0:39:29.360
<v Speaker 1>By the end of February nineteen ninety nine, the outbreak

0:39:29.520 --> 0:39:33.440
<v Speaker 1>was still raging with no end in sight, and the

0:39:33.520 --> 0:39:38.520
<v Speaker 1>evidence that this probably wasn't Japanese and cephalite as virus

0:39:38.560 --> 0:39:41.800
<v Speaker 1>started to be too much to ignore. The control measures

0:39:41.840 --> 0:39:46.480
<v Speaker 1>weren't doing anything to reduce the incidents of cases, infections,

0:39:46.520 --> 0:39:49.840
<v Speaker 1>seemed to be limited to people who had direct close

0:39:49.920 --> 0:39:55.440
<v Speaker 1>contact with pigs, mostly adults, were getting sick. There was

0:39:55.520 --> 0:39:59.319
<v Speaker 1>household clustering with multiple people in the same household getting sick,

0:39:59.360 --> 0:40:03.720
<v Speaker 1>which you wouldn't necessarily expect clustering with Japanese and ccephalitis virus.

0:40:04.400 --> 0:40:08.120
<v Speaker 1>There was a really high in this particular outbreak, a

0:40:08.160 --> 0:40:11.960
<v Speaker 1>really high disease attack rate, So most people who were

0:40:12.000 --> 0:40:17.320
<v Speaker 1>infected became symptomatic. So for every one person who stayed asymptomatic,

0:40:17.719 --> 0:40:22.400
<v Speaker 1>three developed symptoms is what I read. Japanese and cephalitis virus,

0:40:22.440 --> 0:40:26.200
<v Speaker 1>on the other hand, causes symptomatic encephalitis in one in

0:40:26.400 --> 0:40:28.480
<v Speaker 1>three hundred of those infected.

0:40:28.880 --> 0:40:32.520
<v Speaker 2>So like, wow, very different, totally different.

0:40:33.200 --> 0:40:37.640
<v Speaker 1>And perhaps the most glaring piece of information suggesting that

0:40:37.800 --> 0:40:42.080
<v Speaker 1>this wasn't Japanese encephalitis virus was that some of the

0:40:42.120 --> 0:40:45.799
<v Speaker 1>people who were getting sick and dying had already received

0:40:46.040 --> 0:40:52.000
<v Speaker 1>multiple doses of the vaccine. Can you imagine how terrifying

0:40:52.040 --> 0:40:55.120
<v Speaker 1>and awful getting the vaccine and being told, Okay, you're

0:40:55.239 --> 0:40:58.040
<v Speaker 1>safe to go back to work, and then it turns

0:40:58.040 --> 0:41:03.520
<v Speaker 1>out you weren't. And some governmental authorities did actually try

0:41:03.560 --> 0:41:06.280
<v Speaker 1>to explain that away by saying Oh, well, it's because

0:41:06.320 --> 0:41:11.839
<v Speaker 1>this vaccine was faulty. We need to replace this inactivated

0:41:11.880 --> 0:41:15.680
<v Speaker 1>virus vaccine with the live attenuated version and then we'll

0:41:15.680 --> 0:41:21.480
<v Speaker 1>have better results. But fortunately some public health officials and

0:41:21.520 --> 0:41:24.920
<v Speaker 1>researchers were like, okay, you keep working on that and

0:41:25.000 --> 0:41:28.280
<v Speaker 1>in the meantime, we're going to see what this actually

0:41:28.400 --> 0:41:30.600
<v Speaker 1>might be because it doesn't seem to be Japanese and

0:41:30.600 --> 0:41:35.360
<v Speaker 1>cphalitis virus. And the lead researcher on this, doctor Cobbing

0:41:35.480 --> 0:41:39.160
<v Speaker 1>Chua at the University of Malaysia, who first hand account

0:41:39.200 --> 0:41:44.439
<v Speaker 1>you heard from he would eventually make the discovery of nepavirus.

0:41:45.120 --> 0:41:47.160
<v Speaker 1>He was pretty sure at this time that it was

0:41:47.200 --> 0:41:52.080
<v Speaker 1>a novel agent, not Japanese and cphalitis virus, but the

0:41:52.160 --> 0:41:57.160
<v Speaker 1>head of his department was convinced that it was Japanese

0:41:57.160 --> 0:42:01.400
<v Speaker 1>and cephalitis virus. So how could he persuade him that

0:42:01.440 --> 0:42:05.880
<v Speaker 1>he needed to isolate this virus. Chua ended up saying, well,

0:42:06.280 --> 0:42:10.799
<v Speaker 1>if it's a new genotype of Japanese encephalitis virus, that

0:42:10.960 --> 0:42:14.080
<v Speaker 1>could be important, that could be really relevant to our

0:42:14.120 --> 0:42:17.560
<v Speaker 1>control efforts and to determining whether the vaccine is whatever,

0:42:18.120 --> 0:42:21.880
<v Speaker 1>And he got permission SMO move a smooth move indeed,

0:42:23.360 --> 0:42:25.719
<v Speaker 1>and so he got permission to run tests on the

0:42:25.760 --> 0:42:30.560
<v Speaker 1>cerebrospinal fluid and serum samples from a few patients on

0:42:30.640 --> 0:42:33.440
<v Speaker 1>March fifth, nineteen ninety nine, so the first cases were

0:42:33.440 --> 0:42:37.640
<v Speaker 1>in September of the year before. On March fifth, Chua

0:42:37.760 --> 0:42:41.960
<v Speaker 1>saw something unexpected in one of his samples. The virus

0:42:42.200 --> 0:42:45.600
<v Speaker 1>seemed to kill the cells in a way that was

0:42:45.800 --> 0:42:51.640
<v Speaker 1>very similar to that of respiratory sensicial virus, not something

0:42:51.840 --> 0:42:55.800
<v Speaker 1>that Japanese encephalitis virus does. So he ran to the

0:42:55.840 --> 0:42:57.879
<v Speaker 1>head of his department and was like, come look at this,

0:42:58.680 --> 0:43:02.319
<v Speaker 1>and the head was like, Nah, it's just contamination. Get

0:43:02.360 --> 0:43:05.800
<v Speaker 1>rid of it, throw it away, ignore it. Chuat didn't.

0:43:06.360 --> 0:43:08.960
<v Speaker 1>He continued his work, and he went around to get

0:43:09.000 --> 0:43:12.759
<v Speaker 1>his colleagues's opinions, some of whom agreed with his thought

0:43:12.840 --> 0:43:15.880
<v Speaker 1>that this was something new, this was something interesting, This

0:43:16.000 --> 0:43:20.040
<v Speaker 1>was not contamination, and so he ran tests that were

0:43:20.080 --> 0:43:22.839
<v Speaker 1>available to see whether this was a known virus like

0:43:23.239 --> 0:43:29.160
<v Speaker 1>herpie simplex virus RSV, measles Mom's para influenza virus all negative,

0:43:30.239 --> 0:43:33.000
<v Speaker 1>and then he was like, well, maybe I should check

0:43:33.160 --> 0:43:38.440
<v Speaker 1>whether the patients that I've sampled have antibodies to this

0:43:38.600 --> 0:43:41.160
<v Speaker 1>virus that I cultured, because then it's like, is this

0:43:41.320 --> 0:43:43.960
<v Speaker 1>just contamination or is this a virus? And they have

0:43:43.960 --> 0:43:49.799
<v Speaker 1>antibodies against it, all positive, like perfect match. And so

0:43:49.960 --> 0:43:53.240
<v Speaker 1>this time with these results, he was able to convince

0:43:53.280 --> 0:43:56.080
<v Speaker 1>his department head that this was probably a new virus

0:43:56.440 --> 0:43:59.640
<v Speaker 1>and that they needed international help to figure out what

0:43:59.760 --> 0:44:04.399
<v Speaker 1>kind virus. It was two days later after he had

0:44:04.400 --> 0:44:07.279
<v Speaker 1>these results, after he'd had done the testing of the

0:44:07.360 --> 0:44:11.560
<v Speaker 1>virus against the antibodies and the patients, and this was

0:44:11.640 --> 0:44:15.720
<v Speaker 1>one week after he first saw this weird cell killing

0:44:15.920 --> 0:44:19.759
<v Speaker 1>effect of this virus in his samples. Chiua was on

0:44:19.800 --> 0:44:24.520
<v Speaker 1>a plane samples in hand, headed to Fort Collins, Colorado,

0:44:25.000 --> 0:44:28.560
<v Speaker 1>where the Division of Arbovirus Born Diseases branch of the

0:44:28.560 --> 0:44:35.320
<v Speaker 1>CDC was located. Why Fort Collins and not Atlanta, because

0:44:36.000 --> 0:44:39.160
<v Speaker 1>the department head was still convinced in his heart of

0:44:39.160 --> 0:44:42.080
<v Speaker 1>hearts that it was Japanese encephalitis virus, which is an

0:44:42.160 --> 0:44:49.400
<v Speaker 1>arbovirus virus. Yeah, so hence Fort Collins. Less than ten

0:44:49.520 --> 0:44:52.840
<v Speaker 1>hours after arriving in Fort Collins, Chiua was at the

0:44:52.920 --> 0:44:56.440
<v Speaker 1>lab looking at the samples under the microscope, and what

0:44:56.719 --> 0:45:02.360
<v Speaker 1>he saw terrified him. He saw the concrete ring like

0:45:02.400 --> 0:45:08.400
<v Speaker 1>structures characteristic of PARAMICS viruses. Why was that so scary?

0:45:08.560 --> 0:45:11.360
<v Speaker 1>We've kind of touched on that a bit. For one,

0:45:11.600 --> 0:45:15.399
<v Speaker 1>it showed that this was not Japanese andencephalitis virus, which

0:45:15.560 --> 0:45:19.840
<v Speaker 1>very clearly, very clearly, and that confirmed that none of

0:45:19.880 --> 0:45:23.480
<v Speaker 1>the control efforts that they had spent months trying had

0:45:23.520 --> 0:45:26.080
<v Speaker 1>actually done anything. I mean, it is possible that maybe

0:45:26.120 --> 0:45:29.160
<v Speaker 1>there would have been an outbreak of Japanese andencephaliteis virus

0:45:29.600 --> 0:45:32.360
<v Speaker 1>that they prevented from these control measures. I guess we

0:45:32.440 --> 0:45:35.680
<v Speaker 1>won't know, but it didn't do anything to stop this

0:45:35.719 --> 0:45:40.200
<v Speaker 1>particular outbreak. And for two, it's because it was a

0:45:40.200 --> 0:45:44.400
<v Speaker 1>PARAMIX virus. These are as we've talked about a very

0:45:44.440 --> 0:45:49.640
<v Speaker 1>scary group of viruses with clear pandemic potential. They infect

0:45:49.680 --> 0:45:53.560
<v Speaker 1>a wide range of animals. There RNA viruses, which typically

0:45:53.640 --> 0:45:56.960
<v Speaker 1>means for most RNA viruses, they have high mutation rate,

0:45:57.480 --> 0:46:02.719
<v Speaker 1>and nepavirus does. Indeed, they're spread through airborne droplets and

0:46:02.880 --> 0:46:07.320
<v Speaker 1>close contact, and they have some of the highest infection

0:46:07.480 --> 0:46:12.240
<v Speaker 1>rates that we've ever encountered. Measles, as we've talked about before,

0:46:12.760 --> 0:46:18.040
<v Speaker 1>has an ar not of twelve to eighteen, which still

0:46:18.800 --> 0:46:23.919
<v Speaker 1>I still it still blows my mind. Yeah. Yeah. And

0:46:24.600 --> 0:46:29.480
<v Speaker 1>this new paramixavirus had an incredibly high case fatality rate

0:46:30.440 --> 0:46:34.800
<v Speaker 1>nearly forty percent, which pales in comparison to some of

0:46:34.800 --> 0:46:38.520
<v Speaker 1>the later outbreaks, but still forty percent of people who

0:46:38.600 --> 0:46:39.560
<v Speaker 1>were infected died.

0:46:39.680 --> 0:46:43.800
<v Speaker 2>Like that's I know, huge, it's also yeah, it's it's

0:46:44.520 --> 0:46:48.839
<v Speaker 2>it's really interesting to then put this particular outbreak in

0:46:48.920 --> 0:46:51.640
<v Speaker 2>the context of it was not nearly as bad as

0:46:51.680 --> 0:46:54.280
<v Speaker 2>it could have been based on all of the further outbreak,

0:46:54.320 --> 0:46:54.840
<v Speaker 2>Like it's.

0:46:54.719 --> 0:46:58.440
<v Speaker 1>Just I know, I know, yeah, it's like forty percent

0:46:58.520 --> 0:47:00.960
<v Speaker 1>that seems low.

0:47:01.840 --> 0:47:03.480
<v Speaker 2>And it's terrifyingly high.

0:47:03.640 --> 0:47:11.640
<v Speaker 1>It's terrifyingly high. Yeah, And this was incredibly terrifying, alarming,

0:47:11.760 --> 0:47:15.520
<v Speaker 1>horrifying for the situation in Malaysia, the fact that it

0:47:15.600 --> 0:47:18.040
<v Speaker 1>was a new virus and a new Paramix virus, and

0:47:18.120 --> 0:47:22.920
<v Speaker 1>it was also terrifying and horrifying for doctor Chua and

0:47:22.960 --> 0:47:27.600
<v Speaker 1>the other researchers who had been handling these virus samples,

0:47:27.680 --> 0:47:31.680
<v Speaker 1>just like without the safety measures that they warranted, right,

0:47:32.200 --> 0:47:37.919
<v Speaker 1>Like nepavirus requires the highest level of biosafety precautions biosafety

0:47:38.000 --> 0:47:42.080
<v Speaker 1>Level four, which the CDC in Fort Collins did not have.

0:47:43.400 --> 0:47:46.000
<v Speaker 1>And so once they realized, oh god, we have a

0:47:46.000 --> 0:47:49.120
<v Speaker 1>paramix of virus on our hands, we need to get

0:47:49.120 --> 0:47:53.840
<v Speaker 1>these things to close that tube. Fanol those hands you

0:47:53.920 --> 0:47:56.840
<v Speaker 1>might need, might need more than that. Bleach those hands.

0:47:57.280 --> 0:48:01.040
<v Speaker 1>Send the samples, bleach everything, Send samples to the CDC

0:48:01.120 --> 0:48:06.280
<v Speaker 1>in Atlanta. There they can be studied safely. And in Atlanta,

0:48:06.400 --> 0:48:10.440
<v Speaker 1>researchers confirmed that yes, this was a novel paramixa virus,

0:48:10.480 --> 0:48:13.400
<v Speaker 1>and it's one that seemed to be closely related to

0:48:13.480 --> 0:48:16.720
<v Speaker 1>Hendra virus, which had been discovered just a few years

0:48:16.760 --> 0:48:19.279
<v Speaker 1>earlier in nineteen ninety four in Australia.

0:48:19.719 --> 0:48:22.920
<v Speaker 2>Which is also so interesting because these are like Hendra

0:48:22.920 --> 0:48:27.080
<v Speaker 2>and Nepa are very different than other paramixa viruses. Yeah,

0:48:27.120 --> 0:48:30.280
<v Speaker 2>so it's very interesting that like Hendra was just discovered

0:48:30.280 --> 0:48:32.719
<v Speaker 2>a few years prior, and then here comes Nepa on

0:48:32.760 --> 0:48:33.240
<v Speaker 2>the scene.

0:48:33.280 --> 0:48:37.920
<v Speaker 1>Like I know, I know, I feel like the nineties

0:48:38.840 --> 0:48:41.000
<v Speaker 1>had a lot of these kinds. We'll get into it

0:48:41.000 --> 0:48:44.360
<v Speaker 1>in a second, Okay. The name Nepa was given to

0:48:44.400 --> 0:48:48.759
<v Speaker 1>the virus after the village Kampung Sungai, Nepa, where the

0:48:48.840 --> 0:48:52.239
<v Speaker 1>patient whose samples were used to detect the virus had lived.

0:48:52.280 --> 0:48:55.839
<v Speaker 1>So it was like this person, that's where they had lived.

0:48:56.600 --> 0:49:00.239
<v Speaker 1>An international team of experts traveled to Malaysia to learn

0:49:00.280 --> 0:49:03.319
<v Speaker 1>more about this novel virus, how it was being transmitted,

0:49:03.440 --> 0:49:08.040
<v Speaker 1>and helping with like containment measures, and they ultimately concluded

0:49:08.080 --> 0:49:12.640
<v Speaker 1>that it was from the pigs. By the end of

0:49:12.680 --> 0:49:16.080
<v Speaker 1>the nineteen ninety eight to nineteen ninety nine outbreak, two

0:49:16.280 --> 0:49:19.840
<v Speaker 1>hundred and sixty five people had been infected with nepavirus

0:49:19.920 --> 0:49:24.479
<v Speaker 1>in peninsular Malaysia and eleven people in Singapore, which had

0:49:24.560 --> 0:49:28.800
<v Speaker 1>imported pigs from Malaysia, and one hundred and five people died,

0:49:29.480 --> 0:49:31.799
<v Speaker 1>which is, like I said, a case fatality rate of

0:49:32.000 --> 0:49:37.640
<v Speaker 1>around forty percent. The majority of those infected, around seventy percent,

0:49:37.760 --> 0:49:42.279
<v Speaker 1>were directly involved in pig farming, and there was significant

0:49:42.320 --> 0:49:46.480
<v Speaker 1>association between people who had worked closely with pigs and piglets,

0:49:46.960 --> 0:49:51.360
<v Speaker 1>like giving injections or medications, assisting with birth, handling of

0:49:51.400 --> 0:49:55.520
<v Speaker 1>dead pigs, and so on. Just to think about this like, okay, yes,

0:49:55.560 --> 0:49:57.759
<v Speaker 1>it was an outbreak among people who farmed pigs, but

0:49:57.800 --> 0:50:03.520
<v Speaker 1>you also have to think about where these were entire communities.

0:50:04.160 --> 0:50:08.600
<v Speaker 1>I watched in one video someone describing how there would

0:50:08.640 --> 0:50:11.320
<v Speaker 1>be a street where you know, homes on a street,

0:50:11.360 --> 0:50:14.640
<v Speaker 1>and every single home had a funeral happening like the

0:50:14.680 --> 0:50:18.640
<v Speaker 1>same week because it had hit that farm, and all

0:50:18.680 --> 0:50:20.200
<v Speaker 1>of the people who had lived on that street worked

0:50:20.200 --> 0:50:23.080
<v Speaker 1>in the farm. And it's just like everyone, yeah, everyone,

0:50:23.360 --> 0:50:29.480
<v Speaker 1>it's it's really awful. And it wasn't over. Once this

0:50:29.600 --> 0:50:32.440
<v Speaker 1>a link between the pigs and the infection was made,

0:50:32.719 --> 0:50:36.839
<v Speaker 1>the government ordered all pigs and affected areas to be cold,

0:50:37.160 --> 0:50:42.120
<v Speaker 1>so in total, around one point one million pigs were

0:50:42.200 --> 0:50:46.880
<v Speaker 1>killed in a process that was described as just utterly horrific.

0:50:46.960 --> 0:50:49.480
<v Speaker 1>One person said, I don't think that I could do

0:50:49.520 --> 0:50:51.520
<v Speaker 1>this again. I could participate in this again.

0:50:52.040 --> 0:50:54.880
<v Speaker 2>It sounds absolutely awful.

0:50:55.160 --> 0:50:58.640
<v Speaker 1>Yeah, and one point one million pigs. That was nearly

0:50:58.880 --> 0:51:04.160
<v Speaker 1>half of the population. And while the culling did seem

0:51:04.200 --> 0:51:08.239
<v Speaker 1>to halt transmission, so five point six percent of all

0:51:08.280 --> 0:51:11.880
<v Speaker 1>pig farms in peninsular Malaysia were positive for a nepavirus,

0:51:12.600 --> 0:51:16.960
<v Speaker 1>it was also catastrophic for people who had made their

0:51:17.000 --> 0:51:21.080
<v Speaker 1>livelihoods out of this. I don't know anything about whether

0:51:21.120 --> 0:51:24.719
<v Speaker 1>there was compensation for cold pigs, but I did read

0:51:24.760 --> 0:51:27.959
<v Speaker 1>that very few people were able to continue with pig

0:51:28.000 --> 0:51:32.640
<v Speaker 1>farming after this, maybe because testing restrictions were too difficult

0:51:32.640 --> 0:51:37.240
<v Speaker 1>to meet afterwards, or the financial burden was placed entirely

0:51:37.280 --> 0:51:40.680
<v Speaker 1>on the farmers and workers, or maybe because they didn't

0:51:40.719 --> 0:51:43.080
<v Speaker 1>want to get sick and die if there was another outbreak,

0:51:43.080 --> 0:51:46.799
<v Speaker 1>maybe they had horrible like trauma from that other outbreak.

0:51:48.400 --> 0:51:52.759
<v Speaker 1>Before the outbreak, there were one thousand, eight hundred and

0:51:52.840 --> 0:51:56.880
<v Speaker 1>eighty five pig farms in peninsular Malaysia, and by July

0:51:57.200 --> 0:52:00.000
<v Speaker 1>of nineteen ninety nine there were eight hundred and twenty

0:52:00.000 --> 0:52:00.520
<v Speaker 1>twenty nine.

0:52:01.480 --> 0:52:02.200
<v Speaker 2>Wow.

0:52:02.520 --> 0:52:08.200
<v Speaker 1>Right, And I think an outbreak like this really shows

0:52:08.400 --> 0:52:13.200
<v Speaker 1>how far the impacts of a disease can ripple outward.

0:52:13.960 --> 0:52:17.040
<v Speaker 1>On the personal scale, people lost their lives or their

0:52:17.080 --> 0:52:21.880
<v Speaker 1>loved ones, their neighbors, their support system, their livelihood. On

0:52:21.920 --> 0:52:25.480
<v Speaker 1>the regional scale, this virus resulted in a major hit

0:52:25.600 --> 0:52:29.640
<v Speaker 1>to an important industry, which led many people to move

0:52:29.920 --> 0:52:35.520
<v Speaker 1>or entirely change their way of life. And globally, NIPA

0:52:35.640 --> 0:52:42.280
<v Speaker 1>virus I think represented another terrifying reminder that our interactions

0:52:42.400 --> 0:52:48.480
<v Speaker 1>with domestic and wild animals can have deadly consequences. Throughout

0:52:48.480 --> 0:52:51.480
<v Speaker 1>the nineteen eighties and nineteen nineties, outbreaks of a new

0:52:51.719 --> 0:52:56.000
<v Speaker 1>deadly virus spilling over from animals seem to happen over

0:52:56.160 --> 0:53:00.320
<v Speaker 1>and over again. HIV growing to pandemic level in the

0:53:00.400 --> 0:53:05.120
<v Speaker 1>nineteen eighties, sinnombrae virus in the southwestern US in nineteen

0:53:05.200 --> 0:53:09.600
<v Speaker 1>ninety three, the hendrovirus outbreak in nineteen ninety four, and

0:53:09.760 --> 0:53:14.719
<v Speaker 1>incredibly deadly outbreak of ebola virus in nineteen ninety five

0:53:14.760 --> 0:53:19.360
<v Speaker 1>with a case fatality rate of eighty one percent, highly

0:53:19.400 --> 0:53:22.799
<v Speaker 1>pathogenic av and influenza H five N one spilling over

0:53:23.200 --> 0:53:25.880
<v Speaker 1>into humans in nineteen ninety seven. And I'm sure that

0:53:25.920 --> 0:53:30.120
<v Speaker 1>there are others that I'm forgetting. Spillover events happen, and

0:53:30.160 --> 0:53:33.719
<v Speaker 1>they can be incredibly deadly, and this is catching up

0:53:33.800 --> 0:53:38.200
<v Speaker 1>to us. The nineteen ninety eight to nineteen ninety nine

0:53:38.400 --> 0:53:43.800
<v Speaker 1>nepavirus outbreak in Malaysia represented in this regard, another point

0:53:43.920 --> 0:53:49.960
<v Speaker 1>in the timeline, another deadly emerging zoonotic pathogen, another confirmation

0:53:50.320 --> 0:53:54.839
<v Speaker 1>that this would keep happening, This will keep happening, and

0:53:54.920 --> 0:53:58.279
<v Speaker 1>that we have to approach science in a new, much

0:53:58.320 --> 0:54:01.799
<v Speaker 1>more collaborative and interder disciplinary way if we want to

0:54:01.880 --> 0:54:07.920
<v Speaker 1>have any chance at prediction, prevention, and control. And one

0:54:08.000 --> 0:54:12.439
<v Speaker 1>piece of that puzzle was finding out where nepavirus came

0:54:12.480 --> 0:54:15.200
<v Speaker 1>from how it got into pigs in the first place.

0:54:15.840 --> 0:54:21.000
<v Speaker 1>Given what was known about Nipa's close relative, hendrovirus, which

0:54:21.040 --> 0:54:25.160
<v Speaker 1>was transmitted from flying foxes to horses to humans, seemed

0:54:25.200 --> 0:54:28.000
<v Speaker 1>like bats would be a good place to start the hunt,

0:54:28.239 --> 0:54:33.040
<v Speaker 1>and long story short, that was the right call. A

0:54:33.080 --> 0:54:37.799
<v Speaker 1>team of researchers collected urine samples and swabbed fruit that

0:54:37.840 --> 0:54:41.400
<v Speaker 1>had been partially eaten by fruit bats, specifically those in

0:54:41.480 --> 0:54:44.480
<v Speaker 1>the Terrapus Is that right genus? Yeah? I think so,

0:54:45.239 --> 0:54:49.000
<v Speaker 1>and found both antibodies to nepavirus as well as the

0:54:49.040 --> 0:54:53.120
<v Speaker 1>virus itself. But how did it get from these bats

0:54:53.200 --> 0:55:00.000
<v Speaker 1>into pigs? Long story short, again humans. The leading hypothesis

0:55:00.120 --> 0:55:03.320
<v Speaker 1>this seems to be that over the nineteen nineties, pig

0:55:03.400 --> 0:55:07.600
<v Speaker 1>farms in peninsular Malaysia grew quite a bit in size

0:55:07.640 --> 0:55:11.319
<v Speaker 1>and density, and many of these pig farms also cultivated

0:55:11.440 --> 0:55:15.600
<v Speaker 1>mango and other fruit trees, and so this created opportunities

0:55:15.600 --> 0:55:18.359
<v Speaker 1>for the virus to repeatedly spill over from the bat

0:55:18.400 --> 0:55:23.719
<v Speaker 1>reservoirs to pigs. Deforestation is also thought to have maybe

0:55:23.800 --> 0:55:27.319
<v Speaker 1>played a role too, because it can drive movement and

0:55:27.360 --> 0:55:31.560
<v Speaker 1>clustering of bats to the diminishing number of places with resources,

0:55:31.600 --> 0:55:34.560
<v Speaker 1>so like there's only one stand of trees left, all

0:55:34.600 --> 0:55:38.120
<v Speaker 1>the bats are going to go there, much more pathogen exchange,

0:55:38.239 --> 0:55:43.640
<v Speaker 1>et cetera. It also appears that the September nineteen ninety

0:55:43.680 --> 0:55:49.399
<v Speaker 1>eight cases weren't the first of nepavirus. Samples from five

0:55:49.480 --> 0:55:52.879
<v Speaker 1>people who got sick in nineteen ninety seven were retested

0:55:52.960 --> 0:55:56.600
<v Speaker 1>and found to be positive. It's possible that it was

0:55:56.920 --> 0:55:59.359
<v Speaker 1>even older than that. I just those are the early

0:55:59.520 --> 0:56:02.359
<v Speaker 1>samples that, as far as I know, have been found.

0:56:03.560 --> 0:56:06.879
<v Speaker 1>How did the virus get into the bats? We've gone,

0:56:07.000 --> 0:56:11.040
<v Speaker 1>like now back the chain of transmission. I mean, it

0:56:11.120 --> 0:56:13.440
<v Speaker 1>probably had been there for quite some time. Seems like

0:56:13.520 --> 0:56:17.800
<v Speaker 1>it evolved with its bat hosts and doesn't really seem

0:56:18.200 --> 0:56:20.520
<v Speaker 1>at least as far as I read, to cause substantial

0:56:20.560 --> 0:56:23.800
<v Speaker 1>disease in bats. So in that way, it's similar to hendrovirus.

0:56:25.320 --> 0:56:29.400
<v Speaker 1>The nineteen ninety eight nineteen ninety nine outbreak of nepavirus

0:56:29.440 --> 0:56:33.720
<v Speaker 1>in peninsular Malaysia seems like it was the virus getting

0:56:33.719 --> 0:56:38.560
<v Speaker 1>its foot in the door because nearly every year since,

0:56:39.040 --> 0:56:41.120
<v Speaker 1>like I was going to go through all the subsequent

0:56:41.160 --> 0:56:44.080
<v Speaker 1>outbreaks one by one, but it's like every.

0:56:43.840 --> 0:56:45.160
<v Speaker 2>Single every single year.

0:56:45.040 --> 0:56:50.160
<v Speaker 1>Almost every single year. It's it's remarkable outbreaks have happened,

0:56:50.400 --> 0:56:55.400
<v Speaker 1>especially in Bangladesh and India. But these outbreaks are different

0:56:55.640 --> 0:56:58.400
<v Speaker 1>from the nineteen ninety eight to nineteen ninety nine outbreak

0:56:58.520 --> 0:57:02.439
<v Speaker 1>in Malaysia in a couple of alarming ways, and we've

0:57:02.520 --> 0:57:05.480
<v Speaker 1>kind of touched on this already. The first being that

0:57:05.520 --> 0:57:09.200
<v Speaker 1>the case fatality rate is substantially higher than the forty

0:57:09.239 --> 0:57:12.560
<v Speaker 1>percent reported in Malaysia, so on average it's been around

0:57:12.560 --> 0:57:15.880
<v Speaker 1>seventy percent, with that one outbreak in twenty one people

0:57:15.920 --> 0:57:19.920
<v Speaker 1>in Kerala, India in twenty eighteen reporting a ninety one

0:57:20.120 --> 0:57:24.120
<v Speaker 1>percent case fatality rate. And the second is that unlike

0:57:24.200 --> 0:57:28.040
<v Speaker 1>the outbreak in Malaysia, which seemed to mostly be from

0:57:28.080 --> 0:57:31.480
<v Speaker 1>pigs to people, these later outbreaks involved much more human

0:57:31.520 --> 0:57:34.600
<v Speaker 1>to human transmission, which has set off some alarm bells

0:57:34.640 --> 0:57:38.560
<v Speaker 1>in terms of epidemic or pandemic potential for this virus,

0:57:39.240 --> 0:57:42.080
<v Speaker 1>which after nineteen ninety nine has for the most part

0:57:42.120 --> 0:57:46.480
<v Speaker 1>only been involved in outbreaks in the double digits, But

0:57:46.520 --> 0:57:51.080
<v Speaker 1>will it stay that way right? To help answer that question,

0:57:51.480 --> 0:57:56.160
<v Speaker 1>we need to better understand how these outbreaks happen in

0:57:56.200 --> 0:58:00.520
<v Speaker 1>the first place, What increases the likelihood that nepavirus will

0:58:00.560 --> 0:58:05.600
<v Speaker 1>spill over into humans and what seems to reduce that risk. Yeah,

0:58:05.680 --> 0:58:07.880
<v Speaker 1>I can't answer these questions.

0:58:08.040 --> 0:58:10.240
<v Speaker 2>How do we stop this? How do we stop this?

0:58:12.040 --> 0:58:14.240
<v Speaker 1>But luckily there is someone.

0:58:13.920 --> 0:58:16.840
<v Speaker 2>Who can m H and we've got them here.

0:58:17.400 --> 0:58:20.680
<v Speaker 1>We've got them here today, let's chat with doctor Cliff

0:58:20.800 --> 0:58:25.960
<v Speaker 1>McKee all about the ecological drivers of nepavirus outbreaks.

0:58:28.040 --> 0:58:32.560
<v Speaker 3>So I'm doctor Cliff and McKee. I'm a disease ecologist

0:58:32.800 --> 0:58:36.520
<v Speaker 3>and a research associate at the Johns Hopkins Bloomberg School

0:58:36.560 --> 0:58:39.960
<v Speaker 3>of Public Health. I came here in twenty twenty to

0:58:40.000 --> 0:58:45.640
<v Speaker 3>study nepavirus in bats in Bangladesh. And before that, I

0:58:45.680 --> 0:58:51.480
<v Speaker 3>was a PhD student at Colorado State University studying bacterial

0:58:51.480 --> 0:58:56.160
<v Speaker 3>infections of fruit bats kind of the diversity of these

0:58:56.640 --> 0:59:02.000
<v Speaker 3>bacteria and theracology. And I've worked on kind of some

0:59:02.120 --> 0:59:07.000
<v Speaker 3>other projects on bacterial infections in felines and I think

0:59:07.720 --> 0:59:12.640
<v Speaker 3>generally my research focuses on one health and trying to

0:59:12.720 --> 0:59:18.880
<v Speaker 3>understand the dynamics of pathogen spillover at human animal interfaces

0:59:19.760 --> 0:59:24.520
<v Speaker 3>and prevention efforts and epidemiology across scales.

0:59:25.840 --> 0:59:29.680
<v Speaker 2>Thank you so much for joining us today. We are thrilled,

0:59:29.880 --> 0:59:33.919
<v Speaker 2>like so super brighted to have an actual expert here

0:59:33.960 --> 0:59:37.800
<v Speaker 2>to talk about the ecological drivers of nepavirus outbreaks and

0:59:37.840 --> 0:59:40.960
<v Speaker 2>then also some of the strategies for predicting and controlling,

0:59:41.040 --> 0:59:43.040
<v Speaker 2>Like this is going to be such a fun time.

0:59:43.920 --> 0:59:46.480
<v Speaker 2>If we can start off with the bats that are

0:59:46.520 --> 0:59:49.960
<v Speaker 2>at the center of all of this nepavirus mess, the

0:59:50.040 --> 0:59:53.560
<v Speaker 2>ones in the terrapists, the terrap Is genus, the flying foxes.

0:59:55.120 --> 0:59:58.360
<v Speaker 2>What are some of the ecological characteristics of these bats

0:59:58.440 --> 1:00:01.880
<v Speaker 2>that lead to spill over events of nepavirus and does

1:00:01.920 --> 1:00:05.320
<v Speaker 2>it differ across the different species of the terrapusts.

1:00:06.920 --> 1:00:13.520
<v Speaker 3>So, the different Turopus species that carry nepovirus, including Tropus medius,

1:00:13.720 --> 1:00:19.240
<v Speaker 3>Tropis lilly, Tropus hypomelanus, and Theropus vampirius, have a lot

1:00:19.280 --> 1:00:24.040
<v Speaker 3>of similarities in their ecology that could factor into spillover

1:00:24.080 --> 1:00:28.240
<v Speaker 3>of nepovirus. All four of these species are known to

1:00:28.400 --> 1:00:33.040
<v Speaker 3>roost and forage near human settlements and even in highly

1:00:33.160 --> 1:00:38.960
<v Speaker 3>urbanized areas, and they commonly feed on cultivated fruit like mango, banana,

1:00:39.040 --> 1:00:43.080
<v Speaker 3>and guava, and roosting sites for these species can range

1:00:43.120 --> 1:00:46.920
<v Speaker 3>from sort of intact forests to a large tree in

1:00:46.960 --> 1:00:49.840
<v Speaker 3>a village area or even a park in the middle

1:00:49.880 --> 1:00:54.080
<v Speaker 3>of a city, and in some countries like Thailand and Vietnam,

1:00:54.440 --> 1:00:58.840
<v Speaker 3>roosts are often situated on temple grounds where they receive

1:00:58.920 --> 1:01:02.960
<v Speaker 3>some sort of some detection from disturbance. But the common

1:01:02.960 --> 1:01:07.000
<v Speaker 3>denominator seems to be that these species all tolerate human

1:01:07.080 --> 1:01:11.880
<v Speaker 3>presence really well and are opportunists. They feed on sort

1:01:11.880 --> 1:01:14.840
<v Speaker 3>of a mixture of cultivated and wild fruit and nectar

1:01:14.880 --> 1:01:21.160
<v Speaker 3>resources that are available in their area in a given season. Now,

1:01:21.160 --> 1:01:24.360
<v Speaker 3>there are some species that are more urbanized than others,

1:01:25.000 --> 1:01:29.120
<v Speaker 3>such as turope As medius that's found in India and Bangladesh,

1:01:29.360 --> 1:01:31.800
<v Speaker 3>But I don't think we have really any indication that

1:01:31.840 --> 1:01:36.960
<v Speaker 3>these species are gravitating towards humans per se, or rather

1:01:37.080 --> 1:01:41.000
<v Speaker 3>that land use change has stripped away sort of the

1:01:41.080 --> 1:01:45.160
<v Speaker 3>native forests and the bats have found ways to adapt

1:01:45.400 --> 1:01:49.640
<v Speaker 3>to this modified landscape. So the amount of potential contact

1:01:49.640 --> 1:01:52.200
<v Speaker 3>between turop as bats and people has a lot to

1:01:52.240 --> 1:01:54.840
<v Speaker 3>do with the amount of modification that's gone on in

1:01:54.880 --> 1:01:58.840
<v Speaker 3>some regions versus others, and maybe has less to do

1:01:58.880 --> 1:02:01.080
<v Speaker 3>with the fundamental difference is in their ecology.

1:02:02.440 --> 1:02:08.520
<v Speaker 1>Okay, interesting, Yeah, NEPA virus outbreaks have occurred in only

1:02:08.560 --> 1:02:13.600
<v Speaker 1>a fraction of the geographic range of Taropis bats, suggesting

1:02:13.640 --> 1:02:17.040
<v Speaker 1>that does this suggest I guess that we're only seeing

1:02:17.080 --> 1:02:20.040
<v Speaker 1>the tip of the iceberg when it comes to possible outbreaks,

1:02:20.760 --> 1:02:24.120
<v Speaker 1>or maybe a more specific question is do we know

1:02:24.160 --> 1:02:27.720
<v Speaker 1>what set or sets of circumstances lead to a spillover

1:02:27.800 --> 1:02:32.160
<v Speaker 1>event and then what allows or causes a spillover event

1:02:32.200 --> 1:02:33.720
<v Speaker 1>to turn into an outbreak?

1:02:34.400 --> 1:02:37.480
<v Speaker 3>Speaking first towards sort of like these sets and or

1:02:37.520 --> 1:02:41.880
<v Speaker 3>set of circumstances that lead to a spillover. Having bats

1:02:41.920 --> 1:02:46.400
<v Speaker 3>living near humans is a necessary prerequisite for spillover to happen,

1:02:47.200 --> 1:02:51.400
<v Speaker 3>but proximity alone really isn't sufficient. In the NIPA outbreaks

1:02:51.400 --> 1:02:54.840
<v Speaker 3>that have happened in Malaysia in Bangladesh as well as

1:02:54.880 --> 1:02:59.320
<v Speaker 3>another probable outbreak in the Philippines, there was this added

1:02:59.360 --> 1:03:03.240
<v Speaker 3>element that allowed spillover to happen. I kind of think

1:03:03.280 --> 1:03:06.800
<v Speaker 3>of it as as a channel. Perhaps in Malaysia that

1:03:06.920 --> 1:03:11.000
<v Speaker 3>channel was pigs which were likely exposed when bats came

1:03:11.040 --> 1:03:14.800
<v Speaker 3>to feed on mangoes and other fruits on farm premises

1:03:14.800 --> 1:03:20.400
<v Speaker 3>that were doing mixed agriculture, and so these bats dropped mango,

1:03:20.520 --> 1:03:24.200
<v Speaker 3>you know, partially eaten mangoes or fruit pits into the

1:03:24.240 --> 1:03:29.520
<v Speaker 3>pig sties. In the Philippines the channel was horses which

1:03:29.560 --> 1:03:32.520
<v Speaker 3>may have encountered dropped fruit or pasture grass that was

1:03:32.560 --> 1:03:36.680
<v Speaker 3>contaminated with bat urine similar to what we see with hindrovirus.

1:03:37.920 --> 1:03:41.640
<v Speaker 3>And in Bangladesh the channel is date palm sap. The

1:03:41.760 --> 1:03:44.840
<v Speaker 3>sap is collected from date palm trees during the night

1:03:45.200 --> 1:03:48.240
<v Speaker 3>and then it's sold fresh, often with the sap cellar

1:03:48.320 --> 1:03:52.000
<v Speaker 3>going door to door to different households. And we know

1:03:52.040 --> 1:03:56.320
<v Speaker 3>from infrared camera footage that Tropis bats frequently come to

1:03:56.440 --> 1:04:00.000
<v Speaker 3>date palm sap trees to consume the sap and probably

1:04:00.080 --> 1:04:04.880
<v Speaker 3>contaminate the sap with their saliva or urine potentially containing nepovirus.

1:04:06.040 --> 1:04:10.160
<v Speaker 3>So in all of these cases, there's some novel ecological

1:04:10.200 --> 1:04:13.840
<v Speaker 3>element that creates this channel for nepovirus to get from

1:04:13.840 --> 1:04:18.600
<v Speaker 3>bats into humans, either via some bridging hosts like pigs

1:04:18.680 --> 1:04:22.280
<v Speaker 3>or horses that humans interact with more frequently than bats,

1:04:23.160 --> 1:04:26.120
<v Speaker 3>or a food item that allows humans to have direct

1:04:26.160 --> 1:04:30.360
<v Speaker 3>contact with the virus. So the absence of NEPA cases

1:04:30.360 --> 1:04:35.160
<v Speaker 3>in other Asian countries that Tropis bats live in is

1:04:35.280 --> 1:04:37.400
<v Speaker 3>maybe a bit of a mystery, but I think the

1:04:37.400 --> 1:04:42.360
<v Speaker 3>simplest explanation is that it's these novel ecological elements that

1:04:42.480 --> 1:04:45.400
<v Speaker 3>widen this pathway for NEPA to get from bats into humans.

1:04:46.240 --> 1:04:50.080
<v Speaker 3>They're missing or they might function differently than in areas

1:04:50.120 --> 1:04:54.320
<v Speaker 3>with known outbreaks. And then there are other interactions with

1:04:54.360 --> 1:04:58.880
<v Speaker 3>bats that could plausibly be involved with spillover, including bat

1:04:58.960 --> 1:05:02.720
<v Speaker 3>hunting or humans eating dropped fruit directly from the ground.

1:05:03.480 --> 1:05:09.240
<v Speaker 3>In Bangladesh, these exposures haven't been significantly associated with infection.

1:05:09.640 --> 1:05:14.880
<v Speaker 3>In case control studies, only date palm SAP consumption was associated.

1:05:15.240 --> 1:05:18.240
<v Speaker 3>So there's there's some speculation that the dropped fruit consumption

1:05:18.400 --> 1:05:21.680
<v Speaker 3>is the cause of recent outbreaks in Kerala, India, but

1:05:21.960 --> 1:05:26.360
<v Speaker 3>there just aren't enough cases yet to draw really strong conclusions.

1:05:27.360 --> 1:05:29.240
<v Speaker 3>And to get to this question about sort of the

1:05:29.280 --> 1:05:33.320
<v Speaker 3>tip of the iceberg part of your question, I do

1:05:33.480 --> 1:05:37.920
<v Speaker 3>think there are potentially spillovers that we're missing, especially those

1:05:38.080 --> 1:05:41.840
<v Speaker 3>that only cause you know, a handful of cases. This

1:05:41.960 --> 1:05:46.320
<v Speaker 3>is because hospital based surveillance for NIPA virus was for

1:05:46.360 --> 1:05:51.640
<v Speaker 3>a long time only happening in Bangladesh, but large outbreaks

1:05:51.680 --> 1:05:55.760
<v Speaker 3>of severe respiratory disease or encephalitis. I think those are

1:05:55.760 --> 1:05:59.120
<v Speaker 3>hard to miss. So while I think I think there's

1:05:59.160 --> 1:06:04.160
<v Speaker 3>probably some spillovers that are going on undetected in countries

1:06:04.240 --> 1:06:07.160
<v Speaker 3>you know, across the range of Taropa's bats, we're probably

1:06:07.160 --> 1:06:10.200
<v Speaker 3>not talking about you know, thousands or hundreds of thousands

1:06:10.240 --> 1:06:15.360
<v Speaker 3>of cases that are going undetected. And speaking to what

1:06:15.840 --> 1:06:20.080
<v Speaker 3>takes a spillover to become an outbreak, this mostly depends

1:06:20.080 --> 1:06:25.000
<v Speaker 3>on the epidemiological conditions that facilitate human to human transmission.

1:06:25.800 --> 1:06:30.400
<v Speaker 3>So NEVA virus doesn't really transmit that well between humans,

1:06:30.800 --> 1:06:33.800
<v Speaker 3>less than ten percent of cases actually transmit to another person,

1:06:34.920 --> 1:06:38.760
<v Speaker 3>but in areas where there aren't good hygiene practices in hospitals,

1:06:39.240 --> 1:06:43.520
<v Speaker 3>there have been outbreaks that happen inside of hospitals, and

1:06:43.560 --> 1:06:46.760
<v Speaker 3>in one large outbreak in Bangladesh, person to person transmission

1:06:46.840 --> 1:06:50.960
<v Speaker 3>largely centered around a local religious leader whose followers came

1:06:51.000 --> 1:06:54.000
<v Speaker 3>to visit them while the while they were sick. So

1:06:54.520 --> 1:06:58.800
<v Speaker 3>these epidemiological conditions could change in the future and open

1:06:58.880 --> 1:07:02.280
<v Speaker 3>up you know, new risk actors or even you know,

1:07:02.360 --> 1:07:04.840
<v Speaker 3>with the introduction of a new strain of the virus,

1:07:05.200 --> 1:07:07.760
<v Speaker 3>But for now, the major source of human cases is

1:07:07.800 --> 1:07:11.160
<v Speaker 3>directly from spillover and not person to person transmission.

1:07:12.280 --> 1:07:17.120
<v Speaker 2>So you mentioned surveillance, which initially was happening only in Bangladesh,

1:07:17.120 --> 1:07:20.120
<v Speaker 2>and it's our understanding that the threat of nepavirus is

1:07:20.120 --> 1:07:23.320
<v Speaker 2>also not consistent year round and there was at least

1:07:23.360 --> 1:07:27.240
<v Speaker 2>for a time increased surveillance or surveillance that only happened

1:07:27.280 --> 1:07:29.600
<v Speaker 2>during certain parts of the year. Can you talk a

1:07:29.600 --> 1:07:32.760
<v Speaker 2>little bit about the seasonality of nepavirus in Bangladesh and

1:07:32.840 --> 1:07:36.280
<v Speaker 2>how it's driven or is it driven by the ecology

1:07:36.280 --> 1:07:37.240
<v Speaker 2>of flying foxes.

1:07:38.480 --> 1:07:43.880
<v Speaker 3>Yeah, So the seasonality of nepavirus spillovers in Bangladesh is

1:07:43.960 --> 1:07:47.320
<v Speaker 3>tied really closely to when date palm SAP is harvested

1:07:47.360 --> 1:07:51.640
<v Speaker 3>for fresh consumption. Almost all human outbreaks have happened in winter,

1:07:52.280 --> 1:07:56.640
<v Speaker 3>and that's between November and April, and this coincides with

1:07:56.800 --> 1:08:00.840
<v Speaker 3>the sap harvesting season. In areas where sap harvested for

1:08:00.920 --> 1:08:05.400
<v Speaker 3>fresh consumption, bats only have access to the sap during

1:08:05.400 --> 1:08:09.600
<v Speaker 3>these winter months, and in areas where sap is harvested

1:08:09.840 --> 1:08:14.320
<v Speaker 3>for other purposes like molasses production and trees are tapped

1:08:14.400 --> 1:08:17.200
<v Speaker 3>year round, we do see that bats will feed on

1:08:17.439 --> 1:08:20.920
<v Speaker 3>the sap in summer months because it's available, but they

1:08:20.960 --> 1:08:24.720
<v Speaker 3>do make more visits during winter, and we think this

1:08:24.800 --> 1:08:28.360
<v Speaker 3>has to do with just the bat's opportunistic feeding behavior.

1:08:29.000 --> 1:08:32.800
<v Speaker 3>But you know, maybe they're they're shifting towards drinking this

1:08:32.880 --> 1:08:37.439
<v Speaker 3>sap because they lack other fruits during winter. You know,

1:08:37.479 --> 1:08:39.639
<v Speaker 3>there's just not as much that's ripe during that time

1:08:39.680 --> 1:08:43.479
<v Speaker 3>of year. But going back to this idea of date

1:08:43.520 --> 1:08:46.320
<v Speaker 3>palm SAP being this channel, it seems like this channel

1:08:46.320 --> 1:08:51.160
<v Speaker 3>for spillover is only open for a very limited time. Now,

1:08:51.160 --> 1:08:54.439
<v Speaker 3>what's interesting is that the bats are not more likely

1:08:54.520 --> 1:08:58.840
<v Speaker 3>to be infected with nepavirus during winter, So detections of

1:08:58.880 --> 1:09:03.680
<v Speaker 3>nepavirus and bats are pretty sporadic throughout the year, and

1:09:03.760 --> 1:09:06.519
<v Speaker 3>at least in the large roosts that we've that have

1:09:06.600 --> 1:09:10.320
<v Speaker 3>been monitored or for multiple years, there might even be

1:09:10.360 --> 1:09:15.720
<v Speaker 3>more detections in spring and summer months. So there's this disconnect.

1:09:16.240 --> 1:09:19.240
<v Speaker 3>It could be that date palms at this channel is

1:09:19.840 --> 1:09:23.479
<v Speaker 3>just good enough or well timed enough during winter to

1:09:23.560 --> 1:09:27.680
<v Speaker 3>let some trickles of virus through into humans, but there

1:09:27.760 --> 1:09:30.960
<v Speaker 3>might be an alternative explanation. We did a study where

1:09:30.960 --> 1:09:35.760
<v Speaker 3>teams investigated NEVA spillovers in Bangladesh where the teams identified

1:09:35.880 --> 1:09:40.320
<v Speaker 3>the nearest Turopis bat roost to a human spillover, and

1:09:40.360 --> 1:09:43.920
<v Speaker 3>then collected urine samples to test for NEPA in a

1:09:43.960 --> 1:09:47.240
<v Speaker 3>handful of roosts. They were able to detect NEPA virus

1:09:47.439 --> 1:09:51.840
<v Speaker 3>in bat urine, often weeks after the human case had

1:09:51.880 --> 1:09:54.960
<v Speaker 3>been reported. And mind you that these investigations were all

1:09:54.960 --> 1:10:00.400
<v Speaker 3>happening in winter. The roosts with detected virus we're not

1:10:00.520 --> 1:10:04.040
<v Speaker 3>these really large bat roosts, but rather smaller roots of

1:10:04.080 --> 1:10:08.040
<v Speaker 3>a few hundred bats. This indicates that bats can be

1:10:08.120 --> 1:10:11.640
<v Speaker 3>shedding the virus in winter, but perhaps it's happening in

1:10:11.680 --> 1:10:14.479
<v Speaker 3>some of these smaller roosts. And so what we need

1:10:14.479 --> 1:10:18.320
<v Speaker 3>to understand better is how bats are moving within this

1:10:18.479 --> 1:10:23.720
<v Speaker 3>network of large versus small roosts, the seasonality of these movements,

1:10:23.920 --> 1:10:27.960
<v Speaker 3>and the effects of nepovirus transmission among bat populations on

1:10:28.040 --> 1:10:29.880
<v Speaker 3>sort of a whole landscape scale.

1:10:30.479 --> 1:10:33.519
<v Speaker 1>There are so many factors, I feel like that go

1:10:33.640 --> 1:10:37.280
<v Speaker 1>into this. It makes it incredibly complicated. And you've kind

1:10:37.280 --> 1:10:41.800
<v Speaker 1>of touched on one already, which is human land use

1:10:41.880 --> 1:10:44.479
<v Speaker 1>change and these other ways that humans have sort of

1:10:44.560 --> 1:10:47.720
<v Speaker 1>changed the ecology or the landscape of these bats. And

1:10:47.760 --> 1:10:49.680
<v Speaker 1>I was wondering if you could kind of dive a

1:10:49.720 --> 1:10:54.040
<v Speaker 1>little bit deeper into that and talk about how habitat

1:10:54.080 --> 1:10:58.680
<v Speaker 1>loss or deforestation, what role these play in setting the

1:10:58.760 --> 1:11:03.000
<v Speaker 1>stage for a spillover of nepavirus from bats to domestic

1:11:03.040 --> 1:11:07.000
<v Speaker 1>animals or from bats straight to humans, and sort of

1:11:07.040 --> 1:11:09.960
<v Speaker 1>what that looks like or the different ways that could look.

1:11:10.920 --> 1:11:13.640
<v Speaker 3>Well, I keep going back to this idea of channels.

1:11:14.200 --> 1:11:16.840
<v Speaker 3>None of those would exist if it weren't for humans

1:11:16.880 --> 1:11:21.760
<v Speaker 3>putting them there. The intensive pig farms in Malaysia, or

1:11:21.800 --> 1:11:25.600
<v Speaker 3>horses in the Philippines, or even date palm sap in Bangladesh.

1:11:26.040 --> 1:11:30.880
<v Speaker 3>None of these occur naturally. Date palm trees are native

1:11:30.920 --> 1:11:34.960
<v Speaker 3>to Bangladesh, but access to sap requires carving out a

1:11:35.000 --> 1:11:37.960
<v Speaker 3>section of the trunk, which is not something that bats

1:11:38.000 --> 1:11:42.640
<v Speaker 3>can do. So a key landscape change is definitely the

1:11:42.840 --> 1:11:46.559
<v Speaker 3>placement of these channels for spillover into the system, be

1:11:46.640 --> 1:11:50.720
<v Speaker 3>it domestic animals acting as bridging hosts, or foods that

1:11:50.760 --> 1:11:54.280
<v Speaker 3>can carry the virus directly from bats to humans but

1:11:54.479 --> 1:12:00.320
<v Speaker 3>zooming out a bit further though, these key pathways may

1:12:00.439 --> 1:12:03.560
<v Speaker 3>just be sort of the finishing touches in the process

1:12:03.720 --> 1:12:09.519
<v Speaker 3>of landscape change, historical loss of forests and conversion of

1:12:09.600 --> 1:12:13.120
<v Speaker 3>land for human agriculture is really the ultimate force that's

1:12:13.160 --> 1:12:16.960
<v Speaker 3>bringing humans into closer proximity with fruit bats. You take

1:12:16.960 --> 1:12:21.200
<v Speaker 3>a native forest forest where bats feed on wild fruit

1:12:21.280 --> 1:12:24.439
<v Speaker 3>and nectar, then cut those trees down and replace them

1:12:24.439 --> 1:12:28.080
<v Speaker 3>with fields and places to raise domestic animals, and also

1:12:28.160 --> 1:12:32.519
<v Speaker 3>put in cultivated fruit trees. The bats end up just

1:12:32.600 --> 1:12:38.120
<v Speaker 3>sticking around in the remaining trees and eat mangoes, you know,

1:12:38.200 --> 1:12:42.200
<v Speaker 3>and other things in people's backyards. So really humans have

1:12:42.360 --> 1:12:46.960
<v Speaker 3>inserted ourselves into bat habitat and the bats just tolerate it,

1:12:47.479 --> 1:12:50.560
<v Speaker 3>but it becomes this recipe for virus spillover.

1:12:51.640 --> 1:12:51.840
<v Speaker 1>Now.

1:12:51.840 --> 1:12:56.360
<v Speaker 3>I think the timeline of this process differs slightly among

1:12:56.439 --> 1:13:00.920
<v Speaker 3>the outbreak countries. For Malaysia, the process of clearing land

1:13:00.960 --> 1:13:05.640
<v Speaker 3>for agriculture and increasing production of pigs and mangoes was

1:13:05.760 --> 1:13:09.120
<v Speaker 3>something that was ramping up a lot in the nineteen seventies, eighties,

1:13:09.160 --> 1:13:13.040
<v Speaker 3>and nineties, setting the stage for the outbreak in nineteen

1:13:13.080 --> 1:13:17.680
<v Speaker 3>ninety eight. But in Bangladesh, the majority of forests have

1:13:17.800 --> 1:13:21.800
<v Speaker 3>been gone since the seventeen hundreds and date palms have

1:13:21.880 --> 1:13:26.080
<v Speaker 3>been cultivated for sap and molasses. Production over that whole time,

1:13:26.520 --> 1:13:30.040
<v Speaker 3>because we know that the British colonialists in Bangladesh encouraged

1:13:30.320 --> 1:13:33.800
<v Speaker 3>planting of date palms at trees, So the conditions for

1:13:33.840 --> 1:13:37.200
<v Speaker 3>spillover in Bangladesh have been present for a long time,

1:13:38.120 --> 1:13:40.800
<v Speaker 3>but we didn't know to look for human cases of

1:13:40.880 --> 1:13:44.000
<v Speaker 3>NEPA until we knew there was a virus and we

1:13:44.080 --> 1:13:45.680
<v Speaker 3>had tests to detect it.

1:13:46.880 --> 1:13:49.760
<v Speaker 2>Kind Of going along with that, is there evidence that

1:13:49.840 --> 1:13:55.320
<v Speaker 2>nepavirus outbreaks are increasing in either frequency or severity and

1:13:55.640 --> 1:13:59.200
<v Speaker 2>kind of maybe zooming out even further. What are the

1:13:59.240 --> 1:14:02.560
<v Speaker 2>possible effects of things like climate change on the ecology

1:14:02.560 --> 1:14:05.200
<v Speaker 2>of nepavirus or on these spillover events.

1:14:06.160 --> 1:14:11.360
<v Speaker 3>I don't think outbreaks are increasing in frequency or severity.

1:14:12.360 --> 1:14:15.640
<v Speaker 3>There haven't been any more spillovers in Malaysia since the

1:14:15.720 --> 1:14:19.559
<v Speaker 3>nineteen ninety eight outbreak, and in Bangladesh, the number of

1:14:19.600 --> 1:14:23.400
<v Speaker 3>cases linked to date PALMSAP consumption kind of goes up

1:14:23.400 --> 1:14:28.599
<v Speaker 3>and down and has been a bit slower since twenty sixteen,

1:14:29.160 --> 1:14:32.840
<v Speaker 3>and the outbreaks haven't been as large as in previous years,

1:14:33.080 --> 1:14:35.840
<v Speaker 3>which might speak to the effectiveness of control efforts that

1:14:35.880 --> 1:14:39.559
<v Speaker 3>have gone on. But what is interesting is that the

1:14:39.640 --> 1:14:43.280
<v Speaker 3>number of spillovers we see in Bangladesh is correlated well

1:14:43.320 --> 1:14:48.240
<v Speaker 3>with how cold a winter season is, which likely links

1:14:48.280 --> 1:14:53.920
<v Speaker 3>back to date palmsapp production and consumption practices. So date

1:14:54.040 --> 1:14:59.639
<v Speaker 3>palmsapp collectors anecdotally report that they get higher quality SAP

1:15:00.080 --> 1:15:03.719
<v Speaker 3>during colder winter nights, and we also know from household

1:15:03.720 --> 1:15:10.120
<v Speaker 3>surveys that consumption of SAP is higher in cooler years. Now,

1:15:10.360 --> 1:15:13.320
<v Speaker 3>this might be caused by something about the physiology of

1:15:13.400 --> 1:15:17.519
<v Speaker 3>the trees producing more SAP or higher quality SAP, or

1:15:17.600 --> 1:15:21.040
<v Speaker 3>just that the SAP is less likely to spoil in

1:15:21.120 --> 1:15:25.320
<v Speaker 3>cooler weather, but something about weather is driving this system.

1:15:26.160 --> 1:15:29.800
<v Speaker 3>So as climate continues to warm, this suggests that NEPA

1:15:29.840 --> 1:15:35.920
<v Speaker 3>spillovers through date palm SAP consumption in Bangladesh might decline. However,

1:15:36.000 --> 1:15:39.519
<v Speaker 3>I don't really want us to become complacent about NIPA

1:15:39.640 --> 1:15:42.639
<v Speaker 3>in Bangladesh. We know that NEPA virus can take other

1:15:42.720 --> 1:15:46.519
<v Speaker 3>pathways to get to humans, like through domestic animals, so

1:15:46.560 --> 1:15:49.560
<v Speaker 3>I think we need to need to remain vigilant with surveillance.

1:15:50.520 --> 1:15:53.960
<v Speaker 3>Case in point is India. Those outbreaks in Kerala came

1:15:54.000 --> 1:15:57.559
<v Speaker 3>out of left field in twenty eighteen, and we don't

1:15:57.600 --> 1:16:01.400
<v Speaker 3>completely understand the ecology of what's happening there, the pathway

1:16:01.439 --> 1:16:05.080
<v Speaker 3>that the virus took from bats into humans, and any

1:16:05.120 --> 1:16:07.559
<v Speaker 3>of the effects of land juice change that might be

1:16:07.640 --> 1:16:11.840
<v Speaker 3>at play in India, And of course every single spillover

1:16:11.920 --> 1:16:15.800
<v Speaker 3>event is a new chance for a strain of nepavirus

1:16:15.840 --> 1:16:20.599
<v Speaker 3>that has higher transmissibility in humans, for that strain to emerge,

1:16:21.640 --> 1:16:24.960
<v Speaker 3>or for higher transmissibility to evolve in humans or some

1:16:25.040 --> 1:16:29.120
<v Speaker 3>bridging host. And of course climate change could alter the

1:16:29.240 --> 1:16:32.240
<v Speaker 3>range of Turope's bats and cause some species to shift

1:16:32.280 --> 1:16:36.960
<v Speaker 3>their roosting locations and food resources to overlap even more

1:16:37.000 --> 1:16:41.679
<v Speaker 3>with humans, leading to potentially more spillovers. We honestly don't

1:16:41.680 --> 1:16:44.439
<v Speaker 3>really know what's in store for us, So I think

1:16:44.479 --> 1:16:49.000
<v Speaker 3>extending human surveillance efforts modeled in Bangladesh to other Asian

1:16:49.040 --> 1:16:52.880
<v Speaker 3>countries that have Turopus bats could be a first step,

1:16:53.280 --> 1:16:57.280
<v Speaker 3>but also sort of expanding surveillance to domestic animals, for

1:16:57.320 --> 1:17:00.559
<v Speaker 3>example on large pig farms could be a good step.

1:17:01.720 --> 1:17:07.799
<v Speaker 1>Problems like nepavirus outbreaks really require a one health approach,

1:17:07.880 --> 1:17:10.200
<v Speaker 1>which is something that we love on the podcast. We're

1:17:10.240 --> 1:17:12.759
<v Speaker 1>always mentioning, We're always talking about we're such big fans,

1:17:13.240 --> 1:17:18.320
<v Speaker 1>and this involves people working collaboratively across disciplines and organizations

1:17:18.360 --> 1:17:21.920
<v Speaker 1>and different levels of government and with community involvement too,

1:17:22.439 --> 1:17:26.840
<v Speaker 1>to address the health of humans, animals, and the environment.

1:17:27.680 --> 1:17:30.200
<v Speaker 1>Even though we're always talking about one health on the podcast,

1:17:30.200 --> 1:17:31.840
<v Speaker 1>I don't know if we've ever really talked about like

1:17:31.960 --> 1:17:36.759
<v Speaker 1>what an actual one health approach looks like on the ground,

1:17:37.439 --> 1:17:39.920
<v Speaker 1>And I was hoping you could talk a little bit

1:17:39.960 --> 1:17:42.720
<v Speaker 1>about that, like what does a one health strategy for

1:17:42.960 --> 1:17:46.880
<v Speaker 1>nepavirus look like and why is it so important for

1:17:46.960 --> 1:17:48.160
<v Speaker 1>this particular pathogen.

1:17:49.200 --> 1:17:53.439
<v Speaker 3>Nepovirus is really kind of a perfect example of the

1:17:53.520 --> 1:17:58.120
<v Speaker 3>power of a one health approach for emerging diseases. And

1:17:58.240 --> 1:18:01.240
<v Speaker 3>at the heart of one health is is shared focus

1:18:01.520 --> 1:18:06.520
<v Speaker 3>on human health, animal health, and environmental health. So with NIPA,

1:18:06.880 --> 1:18:09.680
<v Speaker 3>you have to think beyond just the human outbreaks and

1:18:09.720 --> 1:18:14.520
<v Speaker 3>dig into bat ecology and the health of bats, agricultural

1:18:14.560 --> 1:18:18.679
<v Speaker 3>systems and those interfaces between bats, domesticated animals and humans,

1:18:19.479 --> 1:18:22.320
<v Speaker 3>and the economic forces that are at the root of

1:18:22.320 --> 1:18:26.360
<v Speaker 3>things like land uice change and choices to harvest certain

1:18:26.400 --> 1:18:30.200
<v Speaker 3>food products like date palmsap NIPA touches on all of

1:18:30.240 --> 1:18:34.599
<v Speaker 3>these things and you have to address them holistically, and

1:18:34.640 --> 1:18:37.960
<v Speaker 3>a key part of this implementation of one health is

1:18:38.000 --> 1:18:42.040
<v Speaker 3>with the formation of project teams, not only including sort

1:18:42.080 --> 1:18:49.680
<v Speaker 3>of epidemiologists and virologists in investigations, but also ecologists and veterinarians,

1:18:50.280 --> 1:18:55.240
<v Speaker 3>anthropologists and other social scientists. Teams not only have to

1:18:55.240 --> 1:19:02.000
<v Speaker 3>be interdisciplinary, but ideally transdisciplinary, with individuals on the team

1:19:02.040 --> 1:19:06.000
<v Speaker 3>that have gone beyond their specialized training to work in

1:19:06.200 --> 1:19:11.040
<v Speaker 3>other disciplines and can act as liaisons and facilitate this

1:19:11.160 --> 1:19:15.919
<v Speaker 3>really collaborative work and then speaking to one health approaches

1:19:16.000 --> 1:19:20.639
<v Speaker 3>Tanita in Bangladesh. In addition to ongoing human surveillance efforts

1:19:20.680 --> 1:19:24.800
<v Speaker 3>at hospitals, we're also looking into the frequency that nepovirus

1:19:24.920 --> 1:19:31.360
<v Speaker 3>might be spilling over into domestic animals, including cows, goats, pigs, cats,

1:19:31.400 --> 1:19:34.519
<v Speaker 3>and dogs, because this might be another pathway for the

1:19:34.600 --> 1:19:38.400
<v Speaker 3>virus to jump into people outside of the winter date

1:19:38.439 --> 1:19:42.600
<v Speaker 3>palm season and might not be currently captured by the

1:19:42.640 --> 1:19:48.040
<v Speaker 3>existing surveillance efforts which are really optimized for spillover through

1:19:48.040 --> 1:19:53.240
<v Speaker 3>this date palmsapp channel. We also should be researching kind

1:19:53.240 --> 1:19:56.639
<v Speaker 3>of more about how the health of bats varies over

1:19:56.680 --> 1:19:59.800
<v Speaker 3>time in space and how much this contributes to spill.

1:20:01.080 --> 1:20:05.160
<v Speaker 3>There's this hypothesis out there that bats might shed more

1:20:05.240 --> 1:20:10.360
<v Speaker 3>viruses when they're experiencing stress, either during food shortages or

1:20:10.439 --> 1:20:14.280
<v Speaker 3>during pregnancy and lactation. So if we knew more about

1:20:14.320 --> 1:20:17.880
<v Speaker 3>when bats are stressed, then we can inform public education

1:20:18.000 --> 1:20:22.160
<v Speaker 3>campaigns about not drinking SAP or ramping up surveillance on

1:20:22.240 --> 1:20:26.439
<v Speaker 3>domestic animals. We could also use this information to find

1:20:26.479 --> 1:20:29.840
<v Speaker 3>ways to support the health of bats, maybe by restoring

1:20:29.920 --> 1:20:34.679
<v Speaker 3>forest habitat and wild food resources. And lastly, I think

1:20:34.680 --> 1:20:40.639
<v Speaker 3>the social sciences are crucial for implementation of prevention. For example,

1:20:40.680 --> 1:20:43.760
<v Speaker 3>getting people not to drink SAP has been difficult to

1:20:43.800 --> 1:20:47.480
<v Speaker 3>do in Bangladesh because it's such a strong cultural practice

1:20:47.720 --> 1:20:51.960
<v Speaker 3>and people preceed it to be low risk. So identifying

1:20:51.960 --> 1:20:56.880
<v Speaker 3>ways to protect SAP from contamination by bats, using things

1:20:56.920 --> 1:21:03.519
<v Speaker 3>like bamboo or plastic coverings, or economic incentives to encourage

1:21:03.600 --> 1:21:07.840
<v Speaker 3>SAP producers to maybe shift from selling raw sapp to

1:21:08.320 --> 1:21:12.679
<v Speaker 3>selling molasses. Any work we can do to make these

1:21:13.000 --> 1:21:16.200
<v Speaker 3>more acceptable could go a long way to prevention of

1:21:16.280 --> 1:21:17.160
<v Speaker 3>NIPA virus.

1:21:17.240 --> 1:21:28.760
<v Speaker 4>Billovers.

1:21:37.240 --> 1:21:39.840
<v Speaker 1>That was that was so great.

1:21:40.320 --> 1:21:41.000
<v Speaker 2>I loved it.

1:21:41.160 --> 1:21:44.640
<v Speaker 1>I loved it. Yeah, yeah, thank you, thank you so

1:21:44.720 --> 1:21:50.439
<v Speaker 1>much much. Jinks, doctor McKee away for chatting with us

1:21:50.439 --> 1:21:53.559
<v Speaker 1>about this. It really is. So it's just so great

1:21:53.640 --> 1:21:56.919
<v Speaker 1>to talk to like an expert who actually is there

1:21:56.960 --> 1:21:59.440
<v Speaker 1>doing the work on one health.

1:21:59.640 --> 1:22:03.600
<v Speaker 2>Stuff, doing the thing. Thank you for your work.

1:22:03.400 --> 1:22:04.760
<v Speaker 1>Thank you for your work and your time.

1:22:04.880 --> 1:22:10.120
<v Speaker 2>Yeah. So let's wrap this up, shall we with just

1:22:10.240 --> 1:22:13.719
<v Speaker 2>looking at where we stand with nepavirus today.

1:22:14.080 --> 1:22:14.640
<v Speaker 1>Let's do it.

1:22:15.360 --> 1:22:18.519
<v Speaker 2>So the good news, there's a few good news is

1:22:18.920 --> 1:22:21.040
<v Speaker 2>good news is there's some good news to be had

1:22:21.200 --> 1:22:25.559
<v Speaker 2>in this case. Thus far, as of twenty twenty four,

1:22:25.640 --> 1:22:27.519
<v Speaker 2>or I should say as of twenty twenty three, when

1:22:27.560 --> 1:22:31.599
<v Speaker 2>the papers that I read were written, nepovirus has still

1:22:31.680 --> 1:22:36.800
<v Speaker 2>caused less than seven hundred human cases. But I think

1:22:36.840 --> 1:22:40.120
<v Speaker 2>that we've also made the case through this whole episode

1:22:40.240 --> 1:22:42.960
<v Speaker 2>that that doesn't mean that it's not worthy of study.

1:22:43.040 --> 1:22:45.640
<v Speaker 2>This is a virus that has a lot of potential

1:22:45.760 --> 1:22:48.240
<v Speaker 2>to cause quite a number of more cases than that,

1:22:49.640 --> 1:22:53.240
<v Speaker 2>and because of that reason, a lot of people are

1:22:53.320 --> 1:22:56.639
<v Speaker 2>working on nepavirus. Like I said at the very top,

1:22:56.840 --> 1:22:59.040
<v Speaker 2>this has been named one of the top ten high

1:22:59.040 --> 1:23:03.360
<v Speaker 2>priority path gins for the World Health Organization because the

1:23:03.400 --> 1:23:07.679
<v Speaker 2>truth is that this these spillover events are not something

1:23:07.720 --> 1:23:13.160
<v Speaker 2>that is happening rarely. Right between two thousand and one

1:23:13.280 --> 1:23:17.680
<v Speaker 2>to twenty eighteen, in Bangladesh alone, over one hundred and

1:23:17.720 --> 1:23:20.799
<v Speaker 2>eighty three spillover events have happened.

1:23:21.479 --> 1:23:22.639
<v Speaker 1>That's a lot, one.

1:23:22.600 --> 1:23:26.960
<v Speaker 2>Hundred and eighty three individual spillover events. And there have

1:23:27.040 --> 1:23:30.400
<v Speaker 2>been additional outbreaks and spillover events that have happened in

1:23:30.479 --> 1:23:34.440
<v Speaker 2>more and more places in different parts of India, in Singapore,

1:23:34.520 --> 1:23:39.560
<v Speaker 2>in the Philippines. This is a virus that exists, persists,

1:23:39.760 --> 1:23:42.880
<v Speaker 2>and luckily a lot of people are trying to understand it,

1:23:42.920 --> 1:23:45.240
<v Speaker 2>both from the one health approach that we heard about

1:23:45.240 --> 1:23:51.599
<v Speaker 2>already and also vaccines and therapeutics. So while there are

1:23:51.640 --> 1:23:55.200
<v Speaker 2>still not vaccines yet, this is one of the few

1:23:55.240 --> 1:23:57.120
<v Speaker 2>times where I get to say that there are a

1:23:57.120 --> 1:23:59.920
<v Speaker 2>lot of candidates that are moving through the clinical trials press,

1:24:00.479 --> 1:24:04.120
<v Speaker 2>which is really exciting. There are a few different ones

1:24:04.160 --> 1:24:07.280
<v Speaker 2>that I found, two of which have started trials in

1:24:07.400 --> 1:24:10.160
<v Speaker 2>humans as of the end of twenty twenty three and

1:24:10.200 --> 1:24:13.160
<v Speaker 2>early twenty twenty four. Both of these, from what I

1:24:13.160 --> 1:24:17.000
<v Speaker 2>can tell, are mRNA based vaccines, which is kind of exciting.

1:24:18.360 --> 1:24:21.760
<v Speaker 2>And there are also people who are developing vaccines for

1:24:21.880 --> 1:24:26.240
<v Speaker 2>animals for example, there's already a hindrovirus vaccine for horses,

1:24:27.360 --> 1:24:29.840
<v Speaker 2>and so the idea that you could use a nepavirus

1:24:29.920 --> 1:24:32.840
<v Speaker 2>vaccine to vaccinate things like pigs might be helpful in

1:24:32.920 --> 1:24:36.240
<v Speaker 2>preventing spillover into domestic animal populations.

1:24:36.680 --> 1:24:37.519
<v Speaker 1>That's really cool.

1:24:38.080 --> 1:24:40.600
<v Speaker 2>Yeah, there's also a lot of work being done on

1:24:40.640 --> 1:24:46.320
<v Speaker 2>additional therapeutics and anti virals and monoclonal antibodies. Right now,

1:24:46.439 --> 1:24:50.400
<v Speaker 2>there still aren't any that have actually come to market,

1:24:50.880 --> 1:24:54.160
<v Speaker 2>but there is. There is just so much focus, I think,

1:24:54.280 --> 1:24:58.400
<v Speaker 2>on nepavirus and on understanding that it can't be just

1:24:59.000 --> 1:25:03.400
<v Speaker 2>one of these things. It's vaccines in combination with therapeutics,

1:25:03.680 --> 1:25:08.639
<v Speaker 2>in combination with prevention strategies, in combination with a one

1:25:08.680 --> 1:25:12.479
<v Speaker 2>health approach, and really looking at this virus as it

1:25:12.520 --> 1:25:17.560
<v Speaker 2>truly exists, which is something that is in the environment

1:25:17.840 --> 1:25:19.960
<v Speaker 2>that we don't have complete control over and we can

1:25:20.040 --> 1:25:24.599
<v Speaker 2>never actually eradicate. So I think that this is one

1:25:24.600 --> 1:25:28.400
<v Speaker 2>of the times where if we go all the way

1:25:28.439 --> 1:25:31.120
<v Speaker 2>back to first season and we say, how scared do

1:25:31.160 --> 1:25:35.759
<v Speaker 2>you need to be? If I'm being honest, MEPA virus

1:25:35.800 --> 1:25:37.519
<v Speaker 2>has scared me since twenty eleven.

1:25:38.160 --> 1:25:46.479
<v Speaker 5>Is that when Meme out Okay, Yeah, I think it's

1:25:46.479 --> 1:25:48.320
<v Speaker 5>a very very terrifying virus.

1:25:48.600 --> 1:25:50.960
<v Speaker 2>But I think there's a lot of really incredible people

1:25:51.160 --> 1:25:53.720
<v Speaker 2>that also think that this is a terrifying virus who

1:25:53.800 --> 1:25:56.000
<v Speaker 2>are doing everything that they can to prevent it from

1:25:56.040 --> 1:25:58.639
<v Speaker 2>ever becoming something that most people ever have to hear about.

1:25:59.640 --> 1:26:05.240
<v Speaker 1>That's a great answer. It is. It is. Yeah, It's like, yeah,

1:26:05.280 --> 1:26:07.439
<v Speaker 1>this is scary. A lot of people think. So that's

1:26:07.439 --> 1:26:11.200
<v Speaker 1>why we're working really hard on it, and hopefully we'll

1:26:11.240 --> 1:26:17.559
<v Speaker 1>have therapeutics or vaccines or detection or a combination, right

1:26:17.680 --> 1:26:23.600
<v Speaker 1>in case something like this does lead to a larger epidemic, right, pandemic.

1:26:23.800 --> 1:26:25.960
<v Speaker 2>Yeah, and that's NEPA.

1:26:26.479 --> 1:26:29.280
<v Speaker 1>That's NEPA. That's sources.

1:26:29.600 --> 1:26:31.440
<v Speaker 2>Sources, I've got a lot, shall.

1:26:31.200 --> 1:26:35.240
<v Speaker 1>We I have so many I'm shouting out just a

1:26:35.240 --> 1:26:37.720
<v Speaker 1>couple here and all of the rest will be on

1:26:37.720 --> 1:26:41.559
<v Speaker 1>our website. So there are several papers by doctor Chua.

1:26:42.200 --> 1:26:46.880
<v Speaker 1>One that I really liked was in Science called nepavirus

1:26:46.960 --> 1:26:51.880
<v Speaker 1>a recently emergent deadly paramixavirus. That's from two thousand and

1:26:51.960 --> 1:26:55.519
<v Speaker 1>then there is a paper on the evolution and origin

1:26:55.600 --> 1:27:01.200
<v Speaker 1>of nepavirus by lol Presty at All from sixteen called

1:27:01.360 --> 1:27:05.320
<v Speaker 1>Origin and Evolution of Napavirus. And I will also on

1:27:05.360 --> 1:27:09.080
<v Speaker 1>our website linked to some of doctor McKee's work on

1:27:09.640 --> 1:27:14.480
<v Speaker 1>napavirus and sort of the bat spillover dynamics of pathogen's

1:27:14.520 --> 1:27:16.080
<v Speaker 1>one health, all that good stuff.

1:27:16.640 --> 1:27:18.960
<v Speaker 2>Yeah, he's got some really great papers.

1:27:19.320 --> 1:27:23.040
<v Speaker 1>Also, I referenced a paper of his in our Bartnella episode.

1:27:23.439 --> 1:27:24.479
<v Speaker 1>Just got to shout it out.

1:27:27.720 --> 1:27:32.840
<v Speaker 2>We go way back, just get it for the biology section.

1:27:32.920 --> 1:27:36.360
<v Speaker 2>I had also quite a number of papers detail on

1:27:36.880 --> 1:27:40.960
<v Speaker 2>the like true biology and pathophysiology of this pathogen. I

1:27:41.000 --> 1:27:43.200
<v Speaker 2>really liked a paper in the New England Journal of

1:27:43.240 --> 1:27:46.760
<v Speaker 2>Medicine called Transmission of Npavirus fourteen years of investigations in

1:27:46.800 --> 1:27:50.559
<v Speaker 2>Bangladesh by Nikola at All And honestly there was there

1:27:50.560 --> 1:27:53.120
<v Speaker 2>were so many more and Aaron, like you said, a

1:27:53.160 --> 1:27:56.240
<v Speaker 2>couple by doctor McKee that were also phenomenal. We will

1:27:56.240 --> 1:27:59.200
<v Speaker 2>post all of our sources from this episode and every

1:27:59.240 --> 1:28:01.439
<v Speaker 2>one of our episodes. There's some about the vaccines. There's

1:28:01.439 --> 1:28:03.760
<v Speaker 2>so much on our website this podcast will kill you

1:28:03.800 --> 1:28:05.599
<v Speaker 2>dot com under the episodes tab.

1:28:06.080 --> 1:28:08.240
<v Speaker 1>Thanks again, Jess. Got to say it one more time

1:28:08.320 --> 1:28:10.559
<v Speaker 1>to doctor McKee. You're a champion.

1:28:10.920 --> 1:28:13.600
<v Speaker 2>Thank you We really appreciate it. Thank you also to

1:28:13.640 --> 1:28:16.240
<v Speaker 2>Bloodmobile for providing the music for this episode and all

1:28:16.240 --> 1:28:17.080
<v Speaker 2>of our episodes.

1:28:17.600 --> 1:28:21.320
<v Speaker 1>Thank you to Tom and Leanna for the wonderful audio mixing.

1:28:21.960 --> 1:28:25.280
<v Speaker 2>Love it. Thank you Exactly Right Network.

1:28:25.040 --> 1:28:28.880
<v Speaker 1>And thank you to you listeners for listening. We hoped

1:28:28.960 --> 1:28:31.160
<v Speaker 1>that you learned something new.

1:28:31.680 --> 1:28:34.280
<v Speaker 2>This is like one of our our first episode this

1:28:34.320 --> 1:28:37.240
<v Speaker 2>season of like a real classic TP and KY classic.

1:28:37.760 --> 1:28:41.320
<v Speaker 1>Yeah yeah, longtime, long time coming. Yeah.

1:28:41.520 --> 1:28:45.759
<v Speaker 2>Thank you especially to our patrons as well for supporting

1:28:45.800 --> 1:28:49.000
<v Speaker 2>us on Patreon. We really really appreciate it, We really do.

1:28:50.640 --> 1:28:53.400
<v Speaker 1>Until next time, wash your hands.

1:28:53.200 --> 1:29:00.280
<v Speaker 2>You feel the animals.

1:29:00.280 --> 1:29:15.880
<v Speaker 4>Obama, Bumba, Buba, Buba