WEBVTT - COVID-19 Chapter 7: Spillover

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<v Speaker 1>There are tents outside our hospitals. Every time I see them,

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<v Speaker 1>I stop startled. Their drab and dirty flaps seems so

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<v Speaker 1>out of place against the grand facades of world class hospitals.

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<v Speaker 1>Desperate times, desperate measures. The last time I worked in

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<v Speaker 1>a tent was West Africa in twenty fourteen, during the

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<v Speaker 1>able outbreak. In those same tents, I saw too much pain, loneliness,

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<v Speaker 1>and death, people dying alone. I never thought I'd have

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<v Speaker 1>to see or experience that ever again. I never wanted to.

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<v Speaker 1>Once was painful enough. There's no way to describe what

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<v Speaker 1>we're seeing. Our new reality is unreal. The people and

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<v Speaker 1>places we've known so long and so well have been transformed,

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<v Speaker 1>our ears, our ICUs. Everything looks, sounds, and feels different.

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<v Speaker 1>Just one week and it's a whole different world. The

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<v Speaker 1>patients I normally see are nowhere to be found. Every

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<v Speaker 1>single patient I see has COVID nineteen. Every single patient

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<v Speaker 1>working in the er means walking through a corridor of coughing,

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<v Speaker 1>each a slightly different pitch and different frequency, but all

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<v Speaker 1>caused by the same exact thing. It's not just the

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<v Speaker 1>volume of patients that's hitting us, it's the severity respiratory arrest,

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<v Speaker 1>respiratory arrest. Respiratory arrest. Each takes six to eight professionals, nurses,

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<v Speaker 1>respiratory texts, er docs, anthesiologists. Each takes an hour or more,

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<v Speaker 1>back to back, all shift long. And it's not just

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<v Speaker 1>the unrelenting severity. We're being asked to do things we've

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<v Speaker 1>never done before. Run a code as your goggles fog

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<v Speaker 1>and you can't decipher the vital signs on the monitor.

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<v Speaker 1>Try to predict which COVID patient will crash if you

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<v Speaker 1>send them home and which won't. Talk to palliative care,

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<v Speaker 1>talk to family members, long discussions about likely outcomes. Listen

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<v Speaker 1>as family members sob. They can't be here when they

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<v Speaker 1>ask to withdraw care. We face time so they can

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<v Speaker 1>say goodbye. We stop, turn off the ventilator and wait.

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<v Speaker 1>Your hands upon theirs. You think of their family at home, sobbing.

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<v Speaker 1>Someone starts saying a prayer. You can't help but cry.

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<v Speaker 1>This isn't what we do. You stand by you wait,

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<v Speaker 1>This isn't what we do. You stand by you wait.

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<v Speaker 1>Time of death, seven nineteen pm. I know what my

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<v Speaker 1>colleagues are feeling. I see it on their faces. We

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<v Speaker 1>are exhausted. Hours in goggles, gowns, and masks feel like days.

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<v Speaker 1>But we are only at the beginning. The mental exhaustion

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<v Speaker 1>is only starting to set in the things we do,

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<v Speaker 1>the things we see. This isn't what we do. I

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<v Speaker 1>worry about my colleagues. Every day someone calls me crying.

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<v Speaker 1>How long will they hold? How long will I hold?

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<v Speaker 1>I remember how this anxiety gnawed at me every day

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<v Speaker 1>in Guinea during abola. Would today be the day I

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<v Speaker 1>got infected? Won't know for a week. The days add up,

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<v Speaker 1>the worry adds up. I've never seen my colleagues so afraid,

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<v Speaker 1>so unsettled. But I've also never seen them all work

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<v Speaker 1>so well together. I've never seen us more unified, more focused,

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<v Speaker 1>more sincere. Yes we worry about Ppe, Yes we worry

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<v Speaker 1>about lack of medications. Yes we worry about one another.

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<v Speaker 1>But I've never seen so much sense of purpose, so

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<v Speaker 1>much honor to do this job. We didn't sign up

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<v Speaker 1>for this, but we will show up for this. Every day.

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<v Speaker 1>I think of this when I finally get home, close

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<v Speaker 1>in a bag, hot shower, look in the mirror, indentations

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<v Speaker 1>of goggles still deep in my face, blisters on the

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<v Speaker 1>bridge of my nose. How long will we hold Jesus? Wow?

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<v Speaker 2>Yeah, So that was.

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<v Speaker 1>How Long will we Doctors Last? By Craig Spencer, published

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<v Speaker 1>in The Washington Post on April third of this year.

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<v Speaker 1>Craig Spencer is the Director of Global Health in Emergency

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<v Speaker 1>Medicine at New York Presbyterian Columbia University Medical Center. Also,

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<v Speaker 1>if you want to read this and more from him,

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<v Speaker 1>he has another really nice thread on his Twitter account

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<v Speaker 1>describing what day to day life has been like for

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<v Speaker 1>an er doctor during this pandemic.

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<v Speaker 2>That's yeah, it's incredible and so difficult to imagine.

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<v Speaker 3>Yeah, it's it's horrific. Erin Yeah, yep.

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<v Speaker 2>Well, Hi, I'm Aaron Welsh.

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<v Speaker 1>And I'm Erin alman Updyke and this is this podcast

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<v Speaker 1>will kill you.

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<v Speaker 3>Yeah.

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<v Speaker 2>So this episode is a continuation of our Anatomy of

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<v Speaker 2>a Pandemic series, which is our series on COVID nineteen.

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<v Speaker 2>In each of these episodes, we address different aspects of

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<v Speaker 2>the pandemic with the help of experts in the field,

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<v Speaker 2>because hey, we're not experts.

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<v Speaker 3>We're not experts.

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<v Speaker 2>Our first six episodes covered things like from the virus's

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<v Speaker 2>biology to clinical disease, from control efforts to do mental

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<v Speaker 2>health coping strategies.

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<v Speaker 1>As you might be able to guess from the title

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<v Speaker 1>of this episode, we're going to talk today about how

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<v Speaker 1>spillover events happen and why. We'll talk about what we

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<v Speaker 1>currently know about where SARS COVID two came from, and

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<v Speaker 1>how we can use this pandemic to be better prepared

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<v Speaker 1>to stop another. We were fortunate enough to speak with

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<v Speaker 1>doctor JOHNA. Mazette, an incredible disease ecologists whose specialty lies

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<v Speaker 1>in identifying emerging pathogens of public health concern.

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<v Speaker 2>But before we get to that, we do have a

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<v Speaker 2>couple of pieces of business to go over. First. Let's

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<v Speaker 2>talk first hand accounts. Yes, so, we are working on

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<v Speaker 2>more episodes of this series covering things like how the

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<v Speaker 2>pandemic has impacted the economy, or education or marginalized populations,

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<v Speaker 2>as well as update episodes on topics we've already covered.

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<v Speaker 2>And for these update episodes, we want to hear from you.

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<v Speaker 2>We want to hear how this pandemic has affected your life,

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<v Speaker 2>your job, your family, your friends, etc. If you are

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<v Speaker 2>willing to share your story with us for inclusion as

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<v Speaker 2>a possible first hand account in one of these episodes,

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<v Speaker 2>please go to our website this podcast willkill you dot

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<v Speaker 2>com and click on COVID nineteen firsthand at the top

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<v Speaker 2>of the page, and then that'll take you to a

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<v Speaker 2>form that you can fill out and then we can

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<v Speaker 2>get back to you with more details real quick.

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<v Speaker 1>Another thing we wanted to say about first hand accounts,

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<v Speaker 1>it's kind of like what everyone says in their Twitter

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<v Speaker 1>bio retweets are not endorsements. There are so many people

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<v Speaker 1>that are having so many different experiences and different perspectives

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<v Speaker 1>during this pandemic. One of our goals with presenting these

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<v Speaker 1>first hand accounts is to show just how huge the

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<v Speaker 1>diversity is in how this pandemic is affecting people. So

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<v Speaker 1>we hope that by hearing these stories, it's a way

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<v Speaker 1>for us all to increase our understanding and empathy during

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<v Speaker 1>these horrible, stressful times. We recognize that no single experience

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<v Speaker 1>is going to be universal.

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<v Speaker 2>So yeah, exactly, Okay. Another piece of business alcohol free episodes.

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<v Speaker 2>So a little bit ago, we posted on our social

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<v Speaker 2>media about alcohol free episodes now being available and so

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<v Speaker 2>let me tell you what these are. So some educators

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<v Speaker 2>reached out to us to ask whether there were versions

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<v Speaker 2>of episodes that didn't contain the quarantine talk, and if

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<v Speaker 2>there weren't, whether they could actually edit those portions out

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<v Speaker 2>themselves for use in the classroom. And so, instead of

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<v Speaker 2>having a bunch of people doing the same obnoxious work

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<v Speaker 2>over and over again editing out the quarantine talk, we thought,

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<v Speaker 2>you know, it's going to be easier to have them

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<v Speaker 2>all in one place, available for whoever wants to use

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<v Speaker 2>it for whatever reason. And so what we did is

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<v Speaker 2>we edited out all the quarantiny talks from our past

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<v Speaker 2>episodes and put these quote alcohol free episodes in a

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<v Speaker 2>playlist on a page on our website called alcohol Free Episodes,

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<v Speaker 2>which you can find under the episode tab.

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<v Speaker 1>Are regular episodes like the one that you're currently listening to.

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<v Speaker 1>Even though this is a little irregular for a regular

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<v Speaker 1>episode that you get from your normal podcast sources, we

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<v Speaker 1>will still have quarantines and plusy burtas, so you don't

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<v Speaker 1>need to worry about losing those. These edited versions of

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<v Speaker 1>our episodes is just an attempt for us to be

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<v Speaker 1>more inclusive and accessible, because we recognize that a lot

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<v Speaker 1>of teachers could get in trouble for sharing a podcast

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<v Speaker 1>with their students that has a good amount of alcohol talk,

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<v Speaker 1>and also maybe people who are in recovery or just

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<v Speaker 1>don't want to listen to might find it difficult to

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<v Speaker 1>listen to. This isn't about censorship or being sheltered or

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<v Speaker 1>anything like that, and there's definitely no need for some

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<v Speaker 1>of the harsh words that we've seen on social media

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<v Speaker 1>about this.

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<v Speaker 2>No, please, guys, let's just kind be kind, especially during

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<v Speaker 2>this time. We all need it, right, we do, we do.

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<v Speaker 2>And as we said, you do not need to worry

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<v Speaker 2>that we're going to stop doing Quarantiny recipes because we're

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<v Speaker 2>going to every single episode and we're about to in

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<v Speaker 2>this one. So nothing is changing about the podcast. We're

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<v Speaker 2>just providing an additional resource for people who want to

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<v Speaker 2>use it. And frankly, we're flattered that some educators want

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<v Speaker 2>to use our podcast in their classroom, like that's thrilling.

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<v Speaker 3>Yes, it really is.

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<v Speaker 2>So if you do not wish to hear quarantine Y Talk,

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<v Speaker 2>you can find the edited quarantine Free versions under the

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<v Speaker 2>episodes tab of our website, and there's also a disclaimer

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<v Speaker 2>there at the top of that page that says that

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<v Speaker 2>there might still be some references to alcohol throughout the

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<v Speaker 2>episodes that we just haven't found, and so if you

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<v Speaker 2>find one, of those and you want us to remove it,

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<v Speaker 2>please send us the timestamp and the context of the mention.

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<v Speaker 2>And if you do wish to hear quarantiny talk, just

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<v Speaker 2>keep listening.

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<v Speaker 1>Because it's quarantiny time.

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<v Speaker 3>It's quarantiney time. What are we drinking this time?

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<v Speaker 2>This time we're drinking Quarantini seven.

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<v Speaker 3>Such a classic name.

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<v Speaker 2>It is one for the ages. Quarantiny seven has rum,

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<v Speaker 2>orange liquor, lemon juice, and cinnamon simple syrup. Demorros simple

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<v Speaker 2>syrup also works pretty.

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<v Speaker 3>Well too, fabulous.

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<v Speaker 1>As always, we'll post the recipe for this quarantini and

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<v Speaker 1>the non alcoholic plus e burrita on all of our

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<v Speaker 1>social media pages and on our website. I wanted to

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<v Speaker 1>say that very clo you.

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<v Speaker 2>Enunciated that one that time. Okay, now that that's out

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<v Speaker 2>of the way, let's go over a few things before

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<v Speaker 2>we dive into the interview with doctor Mazette. First of all, masks.

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<v Speaker 2>Oh gosh, if you've been following the news at all,

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<v Speaker 2>you may have seen that the CDC has now recommended

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<v Speaker 2>people wear masks under certain circumstances. So let's talk about

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<v Speaker 2>that decision. Earlier episode of this series, we went into

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<v Speaker 2>masks a little bit, and we had repeated the CDC's

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<v Speaker 2>previous recommendations for masks and why those recommendations were made

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<v Speaker 2>a quick recap. So previously, wearing a mask was not

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<v Speaker 2>advised for those who were not sick, and there were

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<v Speaker 2>a number of reasons stated for this. One that maybe

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<v Speaker 2>the most important one, masks are in very short supply

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<v Speaker 2>and should be reserved for healthcare workers who are battling

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<v Speaker 2>with this virus on a daily basis. Number two, most masks,

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<v Speaker 2>especially those that are the most effective, require proper fitting

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<v Speaker 2>in order to work. Number three, masks can lead to

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<v Speaker 2>you touching your face more to adjust them or pull

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<v Speaker 2>them down or to the side, And if that mask

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<v Speaker 2>has viral particles on it, that's an easy way to

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<v Speaker 2>become infected yourself, or if you're already infected, you can

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<v Speaker 2>easily contaminate your hands and then other surfaces that you

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<v Speaker 2>touch after adjusting your mask. And number four, it can

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<v Speaker 2>in some case maybe give people a false sense of

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<v Speaker 2>security and lead to less hand washing or physical distancing.

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<v Speaker 3>So as of.

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<v Speaker 1>April third of this year, the CDC is now recommending

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<v Speaker 1>that people wear masks in certain situations, so kind of

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<v Speaker 1>more broadly is now their recommendation. So the question is

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<v Speaker 1>why is that what has changed? Quite honestly great question.

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<v Speaker 1>According to the CDC website, it's because we know that

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<v Speaker 1>a good chunk of people, we don't know exactly how many,

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<v Speaker 1>but a good chunk of people can be infected with

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<v Speaker 1>the virus, not show any symptoms, but still be able

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<v Speaker 1>to transmit the virus asymptomatic transmission. Anyone who's listened to

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<v Speaker 1>this podcast has known that for quite some time. Right,

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<v Speaker 1>we've talked about that. Yeah, there's also evidence that people

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<v Speaker 1>can transmit the virus before they start showing symptoms, even

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<v Speaker 1>if they do eventually become symptomatic. And of course, if

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<v Speaker 1>you have a mile infection, you can still transmit the virus.

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<v Speaker 2>So none of this is new, brand new information discovered

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<v Speaker 2>in the past week.

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<v Speaker 3>No, not at all.

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<v Speaker 2>So these things asymptomatic transmission, infections before showing symptoms, We've

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<v Speaker 2>known about these things, or at least highly suspected them

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<v Speaker 2>for a while. And we meaning like the broader scientific community,

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<v Speaker 2>not just like Aaron and.

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<v Speaker 1>Aaron all the deeds.

0:14:25.960 --> 0:14:28.840
<v Speaker 2>No, we didn't, We're our experts. Do we need to

0:14:28.840 --> 0:14:29.400
<v Speaker 2>say it again?

0:14:30.120 --> 0:14:30.560
<v Speaker 4>Uh So?

0:14:30.720 --> 0:14:34.080
<v Speaker 2>But why has this recommendation changed now, and we don't

0:14:34.120 --> 0:14:37.360
<v Speaker 2>know exactly because we're not in the room where these

0:14:37.440 --> 0:14:41.520
<v Speaker 2>policy changes are being discussed and where these decisions are made.

0:14:42.000 --> 0:14:44.680
<v Speaker 1>If anyone who's in those rooms wants to come on

0:14:44.720 --> 0:14:46.760
<v Speaker 1>the podcast and talk to us about it, we would

0:14:46.920 --> 0:14:49.240
<v Speaker 1>love to hear from you, because this is also a

0:14:49.360 --> 0:14:52.880
<v Speaker 1>very interesting like, these are difficult things coming up with

0:14:52.920 --> 0:14:55.920
<v Speaker 1>these policies and recommendation, So it would be fascinating to

0:14:55.960 --> 0:14:58.120
<v Speaker 1>get to talk to somebody who actually does that. We

0:14:58.160 --> 0:15:03.240
<v Speaker 1>don't do that, no, nope, So let's talk about what

0:15:03.240 --> 0:15:07.320
<v Speaker 1>these new recommendations are exactly. On the CDC website as

0:15:07.360 --> 0:15:10.680
<v Speaker 1>of April fourth, this is what it says. The CDC

0:15:10.800 --> 0:15:14.000
<v Speaker 1>recommends wearing cloth face coverings in public settings where other

0:15:14.120 --> 0:15:17.880
<v Speaker 1>social distancing measures are difficult to maintain, for example, grocery

0:15:17.880 --> 0:15:22.800
<v Speaker 1>stores pharmacies, especially in areas of significant community based transmission.

0:15:23.280 --> 0:15:27.200
<v Speaker 1>It is critical to emphasize that maintaining six feet social

0:15:27.280 --> 0:15:31.240
<v Speaker 1>distancing remains important to slowing the spread of the virus.

0:15:31.840 --> 0:15:35.240
<v Speaker 1>CDC is additionally advising the use of simple cloth face

0:15:35.320 --> 0:15:37.840
<v Speaker 1>coverings to slow the spread of the virus and help

0:15:37.880 --> 0:15:39.800
<v Speaker 1>people who may have the virus and do not know

0:15:39.880 --> 0:15:43.560
<v Speaker 1>it from transmitting it to others. The cloth face coverings

0:15:43.640 --> 0:15:47.680
<v Speaker 1>recommended are not surgical masks or N ninety five respirators.

0:15:48.080 --> 0:15:50.800
<v Speaker 1>Those are critical supplies that must continue to be reserved

0:15:50.840 --> 0:15:54.440
<v Speaker 1>for healthcare workers and other medical first responders, as recommended

0:15:54.440 --> 0:16:00.200
<v Speaker 1>by current CDC guidance end quote. So there is they're

0:16:00.200 --> 0:16:02.920
<v Speaker 1>basically saying, wear a mask if you absolutely have to

0:16:02.920 --> 0:16:06.120
<v Speaker 1>go out to help prevent transmitting this virus to other people,

0:16:06.720 --> 0:16:10.720
<v Speaker 1>But masks are no replacement for staying at home. Also

0:16:11.040 --> 0:16:14.560
<v Speaker 1>washing your hands and never touching your mask with dirty hands,

0:16:15.000 --> 0:16:15.760
<v Speaker 1>does that make sense?

0:16:16.080 --> 0:16:18.360
<v Speaker 2>And also washing your hands after touching your.

0:16:18.280 --> 0:16:23.000
<v Speaker 1>Mask, yes, just washing your hands every time your hands

0:16:23.040 --> 0:16:23.960
<v Speaker 1>go anywhere near your.

0:16:23.880 --> 0:16:27.880
<v Speaker 2>Face for sure. Yeah, okay, okay, But this is an

0:16:27.920 --> 0:16:30.920
<v Speaker 2>ongoing thing, and so there's going to be more information

0:16:31.000 --> 0:16:32.880
<v Speaker 2>and we'd love to do a deeper dive into it

0:16:32.880 --> 0:16:36.600
<v Speaker 2>with someone who is working first hand on this.

0:16:36.880 --> 0:16:37.840
<v Speaker 5>Knows more than we do.

0:16:38.080 --> 0:16:40.360
<v Speaker 3>Yeah yeah, yeah.

0:16:40.040 --> 0:16:43.040
<v Speaker 2>All right. Are we ready to talk about spillover events?

0:16:43.240 --> 0:16:43.520
<v Speaker 1>Oh?

0:16:43.560 --> 0:16:43.960
<v Speaker 2>I sure?

0:16:44.000 --> 0:16:44.720
<v Speaker 3>Am okay.

0:16:46.440 --> 0:16:50.640
<v Speaker 2>I think the listeners of this podcast maybe don't need

0:16:50.640 --> 0:16:53.400
<v Speaker 2>a whole lot of setup for this particular topic, because

0:16:53.400 --> 0:16:56.520
<v Speaker 2>if you've listened to us before, you've heard us talk

0:16:56.560 --> 0:17:00.480
<v Speaker 2>about spillover events and what they are, and diseasy collegy

0:17:00.640 --> 0:17:04.680
<v Speaker 2>and what that is. So let's get right to it

0:17:05.320 --> 0:17:06.119
<v Speaker 2>right after.

0:17:05.960 --> 0:17:06.800
<v Speaker 3>This short break.

0:17:31.960 --> 0:17:32.920
<v Speaker 4>I'm Jonah Mazette.

0:17:32.920 --> 0:17:36.520
<v Speaker 6>I'm a professor of epidemiology and disease ecollege at the

0:17:36.640 --> 0:17:39.800
<v Speaker 6>University of California Davis in the Veterinary School and the

0:17:39.920 --> 0:17:44.199
<v Speaker 6>University of California, San Francisco in the Medical School, and

0:17:44.240 --> 0:17:47.400
<v Speaker 6>I'm the executive director of the UC Davis One Health

0:17:47.440 --> 0:17:52.520
<v Speaker 6>Institute there. I use one Health in everything I do

0:17:52.720 --> 0:17:55.919
<v Speaker 6>and that our big team does, and what that means

0:17:55.960 --> 0:18:02.520
<v Speaker 6>is we're looking at interconnectedness human, animal, plant, and environmental

0:18:02.520 --> 0:18:07.080
<v Speaker 6>health and bringing together multidisciplinary teams to work on those

0:18:07.119 --> 0:18:12.960
<v Speaker 6>really complex problems like this COVID nineteen situation. I've been

0:18:13.000 --> 0:18:18.280
<v Speaker 6>the principal investigator for the Predict project that's been working

0:18:18.320 --> 0:18:23.000
<v Speaker 6>in thirty five countries all over the world to identify dangerous,

0:18:23.200 --> 0:18:28.359
<v Speaker 6>potentially pathogenic viruses that could spill over from animals into

0:18:28.440 --> 0:18:32.240
<v Speaker 6>people and build the systems that are needed to be

0:18:32.280 --> 0:18:35.720
<v Speaker 6>able to respond quickly and be ready for just the

0:18:35.760 --> 0:18:38.560
<v Speaker 6>scenario that we have. And I've been doing that for

0:18:38.640 --> 0:18:43.439
<v Speaker 6>ten years leading that team, and we detected and discovered

0:18:43.480 --> 0:18:46.840
<v Speaker 6>one hundred and sixty novel coronaviruses through PREDICT when just

0:18:46.880 --> 0:18:50.959
<v Speaker 6>a handful we're known, and as importantly, we learned about

0:18:51.720 --> 0:18:55.720
<v Speaker 6>their hosts and the interfaces. And more importantly, I think

0:18:55.760 --> 0:18:59.480
<v Speaker 6>we trained about sixty eight hundred people in this approach

0:18:59.560 --> 0:19:01.400
<v Speaker 6>so that the world it can be better.

0:19:01.480 --> 0:19:03.240
<v Speaker 4>I just wish more of them were here.

0:19:03.920 --> 0:19:04.200
<v Speaker 5>Now.

0:19:04.280 --> 0:19:08.240
<v Speaker 6>I'm the director of the One Health Workforce Next Generation,

0:19:08.520 --> 0:19:12.960
<v Speaker 6>which is the logical follow on from PREDICT, meaning that

0:19:13.840 --> 0:19:17.679
<v Speaker 6>we want this trained workforce to be expanded in the

0:19:17.720 --> 0:19:22.640
<v Speaker 6>most likely hot spots for spillover, so that academics all

0:19:22.640 --> 0:19:23.840
<v Speaker 6>over the world.

0:19:23.600 --> 0:19:25.080
<v Speaker 4>Can be training.

0:19:24.720 --> 0:19:29.080
<v Speaker 6>People to be the workforce for hopefully to prevent anything

0:19:29.160 --> 0:19:30.760
<v Speaker 6>like this ever happening again.

0:19:31.480 --> 0:19:33.520
<v Speaker 4>And finally, I'm also on.

0:19:33.480 --> 0:19:36.760
<v Speaker 6>The board of the directors of the new Global Viral Project,

0:19:36.880 --> 0:19:41.360
<v Speaker 6>which really grew out of the PREDICT project. PREDICT provided

0:19:41.400 --> 0:19:44.359
<v Speaker 6>the proof of concept that we don't need to wait

0:19:44.560 --> 0:19:50.240
<v Speaker 6>for the next epidemic or tragically pandemic. We can get

0:19:50.280 --> 0:19:54.159
<v Speaker 6>in front of the curve, in front of the wave.

0:19:54.400 --> 0:19:59.000
<v Speaker 6>We can't understand viruses and know where they are sort

0:19:59.000 --> 0:20:01.520
<v Speaker 6>of lurking and availab ble to spill over into people.

0:20:01.960 --> 0:20:04.000
<v Speaker 6>We can know what they are, we can know how

0:20:04.040 --> 0:20:08.240
<v Speaker 6>to detect them, we can know how to prevent our

0:20:08.320 --> 0:20:11.480
<v Speaker 6>own risky behaviors that put us in harm's way.

0:20:12.040 --> 0:20:14.359
<v Speaker 2>Awesome, so many different things that you're working on.

0:20:14.480 --> 0:20:16.800
<v Speaker 4>I'm sorry, No, it doesn't apologue.

0:20:18.200 --> 0:20:18.920
<v Speaker 3>It's amazing.

0:20:20.560 --> 0:20:23.159
<v Speaker 2>Wow, that's incredible, and it sounds like, I mean, some

0:20:23.240 --> 0:20:26.359
<v Speaker 2>of these things sound like really fascinating. And you know

0:20:26.440 --> 0:20:30.960
<v Speaker 2>you mentioned predict and you mentioned doing surveillance for emerging pathogens,

0:20:31.280 --> 0:20:33.159
<v Speaker 2>and so can you take us through sort of a

0:20:33.240 --> 0:20:36.560
<v Speaker 2>step by step of how that's done, Because there's like

0:20:36.680 --> 0:20:42.119
<v Speaker 2>logistics involved with these working across international borders, and then

0:20:42.160 --> 0:20:44.240
<v Speaker 2>there's the people in the field doing the sampling to

0:20:44.320 --> 0:20:47.639
<v Speaker 2>then how do you group all of this information together

0:20:47.720 --> 0:20:49.800
<v Speaker 2>and then disperse it to the people that need it.

0:20:49.960 --> 0:20:50.800
<v Speaker 2>How does that work?

0:20:51.400 --> 0:20:55.800
<v Speaker 6>Yeah, there's a lot of minutia and not sexy work

0:20:55.880 --> 0:21:00.240
<v Speaker 6>involved there, and a lot of it also qualifies or

0:21:00.720 --> 0:21:03.120
<v Speaker 6>for being highlighted on dirty jobs.

0:21:03.200 --> 0:21:04.080
<v Speaker 4>We swab a lot.

0:21:03.920 --> 0:21:09.000
<v Speaker 6>Of butts on throats and noses. So I can take

0:21:09.040 --> 0:21:12.120
<v Speaker 6>you through it. But the way that we begin is

0:21:12.160 --> 0:21:15.240
<v Speaker 6>we begin with math. We begin with looking at the

0:21:15.280 --> 0:21:18.960
<v Speaker 6>best science and pulling it together mathematically to identify hot

0:21:18.960 --> 0:21:23.720
<v Speaker 6>spots that might be the places most likely for spillover

0:21:23.840 --> 0:21:28.320
<v Speaker 6>to occur. And once we identify those countries, if they

0:21:28.440 --> 0:21:32.840
<v Speaker 6>overlap with our funders for the PREDICT project, USA ID

0:21:33.160 --> 0:21:36.879
<v Speaker 6>or US Agency for International Development where they want and

0:21:36.960 --> 0:21:40.200
<v Speaker 6>can work, then we can approach the governments in those

0:21:40.240 --> 0:21:44.280
<v Speaker 6>countries and ask if they'd like to participate. And the

0:21:44.280 --> 0:21:47.840
<v Speaker 6>PREDICT Project was the first time I'd ever started an

0:21:47.840 --> 0:21:53.159
<v Speaker 6>international effort where every single government that we talked to

0:21:53.680 --> 0:21:56.080
<v Speaker 6>said absolutely, yes, this is critically important.

0:21:56.119 --> 0:21:57.320
<v Speaker 4>We want to get in front of this.

0:21:57.760 --> 0:22:00.760
<v Speaker 6>It's not we don't have the resource to do this,

0:22:00.960 --> 0:22:04.719
<v Speaker 6>but we've loved a partner, so that was really refreshing.

0:22:04.760 --> 0:22:08.399
<v Speaker 6>So we immediately had a collaborative process. But we in

0:22:08.480 --> 0:22:14.240
<v Speaker 6>those initial government meetings, we brought together the ministries of Environment, Health,

0:22:14.760 --> 0:22:19.439
<v Speaker 6>and Agriculture where the veterinary sector usually lives, so that

0:22:19.520 --> 0:22:23.360
<v Speaker 6>we could apply the one health approach in those countries

0:22:23.400 --> 0:22:26.439
<v Speaker 6>to really identify on the ground the best hotspots to

0:22:26.520 --> 0:22:29.959
<v Speaker 6>target our work and then really get out there and

0:22:30.000 --> 0:22:34.720
<v Speaker 6>collaboratively look at it from the animal side, the environmental side,

0:22:34.760 --> 0:22:37.360
<v Speaker 6>as well as the human side. So we brought those

0:22:37.400 --> 0:22:39.920
<v Speaker 6>teams together. I can talk to you more if you

0:22:40.119 --> 0:22:44.480
<v Speaker 6>like about how that went. But once we found those

0:22:44.560 --> 0:22:48.200
<v Speaker 6>hot spots to investigate, then we needed to train folks

0:22:48.240 --> 0:22:53.040
<v Speaker 6>to be really safe biosafety and biosecurity number one, even

0:22:53.160 --> 0:22:57.800
<v Speaker 6>including how to pack and ship samples. And before anybody

0:22:57.800 --> 0:22:59.679
<v Speaker 6>could go out in the field, they needed to have

0:22:59.720 --> 0:23:03.560
<v Speaker 6>a clearances for working with people and animals so that

0:23:03.800 --> 0:23:06.359
<v Speaker 6>we knew that we could conduct the work in the

0:23:06.400 --> 0:23:09.760
<v Speaker 6>most appropriate way. Then you have to get with the communities,

0:23:09.800 --> 0:23:12.560
<v Speaker 6>because most communities, if you show up in white suits,

0:23:12.640 --> 0:23:16.240
<v Speaker 6>even my house, if someone showed up in my front

0:23:16.320 --> 0:23:19.160
<v Speaker 6>yard in a white suit trying to sample the birds

0:23:19.160 --> 0:23:22.080
<v Speaker 6>in my yard, or in some of the communities where

0:23:22.119 --> 0:23:25.359
<v Speaker 6>we work their food in the market, that would be

0:23:25.400 --> 0:23:28.359
<v Speaker 6>horrifying to anyone. So we work with the communities and

0:23:28.400 --> 0:23:30.679
<v Speaker 6>talk to them about what we're going to do, have

0:23:30.840 --> 0:23:34.240
<v Speaker 6>them help us target exactly what kind of high risk

0:23:34.320 --> 0:23:38.320
<v Speaker 6>interfaces they're seeing in their areas, and they become the

0:23:38.520 --> 0:23:44.440
<v Speaker 6>really great informational partner and operational partners for us. Finally,

0:23:44.480 --> 0:23:47.080
<v Speaker 6>then you can do the more sexy stuff, the stuff

0:23:47.119 --> 0:23:52.000
<v Speaker 6>people like to film on the Discovery Channel of sampling

0:23:52.040 --> 0:23:56.160
<v Speaker 6>the bats, sampling the non human primates, and getting sort

0:23:56.160 --> 0:23:59.199
<v Speaker 6>of down into the mud, getting with the rodents and

0:23:59.240 --> 0:24:03.320
<v Speaker 6>the shrews people's houses and trying to find the virus safely.

0:24:04.640 --> 0:24:06.560
<v Speaker 6>Those samples didn't have to go to the laboratory. And

0:24:06.600 --> 0:24:11.520
<v Speaker 6>we had to strengthen the capabilities for molecular virology in

0:24:11.640 --> 0:24:14.359
<v Speaker 6>almost every place we work, because we were working in

0:24:14.440 --> 0:24:18.960
<v Speaker 6>the least resource countries of the world most times, and

0:24:19.200 --> 0:24:22.640
<v Speaker 6>most of them did not have the technology, they had

0:24:22.640 --> 0:24:27.120
<v Speaker 6>the will to do this work, especially for wildlife. They

0:24:27.119 --> 0:24:30.119
<v Speaker 6>didn't have places to do the wildlife virology. So we

0:24:30.200 --> 0:24:33.199
<v Speaker 6>had to help build that up, and our teams at

0:24:33.280 --> 0:24:37.280
<v Speaker 6>Davis and Columbia University were amazing and coming up with

0:24:37.880 --> 0:24:44.240
<v Speaker 6>a low cost platform to really discover many, many, you know, more.

0:24:44.080 --> 0:24:45.800
<v Speaker 4>Than thousand viruses.

0:24:46.920 --> 0:24:49.399
<v Speaker 6>So once you get that done and you get in

0:24:49.440 --> 0:24:51.359
<v Speaker 6>the lab and you safely do that, then you have

0:24:51.440 --> 0:24:53.440
<v Speaker 6>to figure out what you do with that information.

0:24:53.880 --> 0:24:55.200
<v Speaker 4>And there's two important things.

0:24:55.200 --> 0:24:57.560
<v Speaker 6>One, it needs to get back to those governments and

0:24:57.680 --> 0:25:01.360
<v Speaker 6>all of those across the platforms, those different ministries so

0:25:01.400 --> 0:25:04.680
<v Speaker 6>that they can take action or at least have that

0:25:05.119 --> 0:25:08.840
<v Speaker 6>information in their repository so that they know what to

0:25:08.880 --> 0:25:12.159
<v Speaker 6>look for when something strange happens. And you have to

0:25:12.200 --> 0:25:15.639
<v Speaker 6>get that information back into the hands of people like me,

0:25:16.200 --> 0:25:19.760
<v Speaker 6>people like our team at Eco Health Alliance the mathematical

0:25:19.840 --> 0:25:25.000
<v Speaker 6>modeling to really help inform on what should be done

0:25:25.040 --> 0:25:28.840
<v Speaker 6>from a public health perspective globally and to figure out

0:25:28.880 --> 0:25:33.600
<v Speaker 6>how to better target surveillance going forward. So it's kind

0:25:33.600 --> 0:25:38.119
<v Speaker 6>of circular, and we do it better iteratively over time.

0:25:38.800 --> 0:25:39.240
<v Speaker 3>Gotcha.

0:25:39.359 --> 0:25:42.080
<v Speaker 2>Yeah, it sounds like a huge effort in just coordinating

0:25:42.160 --> 0:25:47.280
<v Speaker 2>everyone's movements and activities and permits and all of that.

0:25:47.480 --> 0:25:51.760
<v Speaker 2>So yeah, yeah, it's amazing. And so you know, hypothetically,

0:25:51.840 --> 0:25:55.320
<v Speaker 2>let's say that you do or clearly you have found

0:25:55.560 --> 0:26:00.000
<v Speaker 2>pathogens that have been a potential concern for public health

0:26:00.080 --> 0:26:04.040
<v Speaker 2>health safety, and so what happens when you do identify

0:26:04.240 --> 0:26:07.439
<v Speaker 2>let's say, a potential spillover event. What happens in that case?

0:26:08.880 --> 0:26:12.280
<v Speaker 6>Well, I mean there are multiple scenarios. In the predict project.

0:26:12.320 --> 0:26:16.080
<v Speaker 6>We assisted governments with forty five now forty six unfortunately

0:26:16.119 --> 0:26:22.080
<v Speaker 6>counting this one outbreak investigations, many of which stayed really small,

0:26:22.280 --> 0:26:26.679
<v Speaker 6>I think, testament to being prepared, some of which, like

0:26:26.840 --> 0:26:30.360
<v Speaker 6>this one, the project was actually finished in the countries

0:26:30.359 --> 0:26:33.560
<v Speaker 6>where we were working at that time, where were reactivated

0:26:33.640 --> 0:26:38.960
<v Speaker 6>now thankfully, but those teams reactivated and helped identify the

0:26:39.000 --> 0:26:43.520
<v Speaker 6>first cases of SARS Kobe two coming into their countries

0:26:44.000 --> 0:26:47.720
<v Speaker 6>using the predict platform as well. But you know, when

0:26:47.760 --> 0:26:53.239
<v Speaker 6>we do have a very concerning finding, we again have

0:26:53.320 --> 0:26:56.960
<v Speaker 6>to be very careful. We go to the ministries and

0:26:57.280 --> 0:27:01.600
<v Speaker 6>these viruses, we consider them sovereign to their property of

0:27:01.640 --> 0:27:04.399
<v Speaker 6>their sovereign nation, so we always bring it back to

0:27:04.480 --> 0:27:07.480
<v Speaker 6>the governments first and talk to them about how to

0:27:07.520 --> 0:27:12.560
<v Speaker 6>release the information to the public. Certainly, we write publications,

0:27:12.680 --> 0:27:16.719
<v Speaker 6>and we've gotten into a very interesting ethical dilemma sometimes

0:27:16.760 --> 0:27:20.879
<v Speaker 6>about whether or not we should talk to the communities

0:27:20.920 --> 0:27:24.320
<v Speaker 6>at risk or get our paper out. I think most

0:27:24.400 --> 0:27:26.320
<v Speaker 6>all of us on the team feel like it's the

0:27:26.400 --> 0:27:29.080
<v Speaker 6>right thing to do to put information out, even if

0:27:29.119 --> 0:27:34.000
<v Speaker 6>it's not published. Now that's becoming more commonplace with pre

0:27:34.040 --> 0:27:38.480
<v Speaker 6>prints and with this current again COVID nineteen situation, we're

0:27:38.480 --> 0:27:41.840
<v Speaker 6>seeing that becoming more the norm, which I think is fantastic.

0:27:41.880 --> 0:27:43.840
<v Speaker 4>Public health should be first.

0:27:43.560 --> 0:27:45.920
<v Speaker 6>And foremost on all of our minds, and so that's

0:27:45.960 --> 0:27:49.360
<v Speaker 6>a positive change that's coming out of this horrible tragedy.

0:27:49.400 --> 0:27:54.040
<v Speaker 6>And I think there will be others.

0:27:52.920 --> 0:27:55.880
<v Speaker 4>But yeah, we inform the ministry.

0:27:55.920 --> 0:27:59.600
<v Speaker 6>I can give you an example, we identified a novel

0:27:59.800 --> 0:28:03.760
<v Speaker 6>of bolavirus when we were working in Sierra Leone and

0:28:03.840 --> 0:28:07.560
<v Speaker 6>we found it in bats that were living in people's homes.

0:28:07.920 --> 0:28:10.560
<v Speaker 6>There aren't that many ebola viruses in the world, so

0:28:10.840 --> 0:28:14.679
<v Speaker 6>we were immediately concerned about that, and we took that

0:28:14.800 --> 0:28:17.920
<v Speaker 6>to the government and we worked with them to develop

0:28:18.080 --> 0:28:25.959
<v Speaker 6>an outreach platform, even developed a illustrated guided book that

0:28:26.040 --> 0:28:30.400
<v Speaker 6>could go out with the narrators picture book to all

0:28:30.440 --> 0:28:33.320
<v Speaker 6>of the communities where we were working to start to

0:28:33.680 --> 0:28:38.440
<v Speaker 6>give them the information but also the tools and the

0:28:38.480 --> 0:28:41.840
<v Speaker 6>skills to be able to protect themselves in the communities,

0:28:42.320 --> 0:28:45.920
<v Speaker 6>and then press releases and papers and all of those

0:28:45.920 --> 0:28:48.640
<v Speaker 6>other things come as well. But at first and foremost,

0:28:48.680 --> 0:28:51.440
<v Speaker 6>it's about letting the governments know so that they can

0:28:51.480 --> 0:28:54.640
<v Speaker 6>prepare their plan and then working with the communities so

0:28:54.680 --> 0:28:55.959
<v Speaker 6>they can protect themselves.

0:28:56.240 --> 0:29:00.680
<v Speaker 2>Gotcha that makes sense. Yeah, So you talked about identifying

0:29:00.720 --> 0:29:04.800
<v Speaker 2>hot spots where emerging infectious diseases or spillover events are

0:29:05.000 --> 0:29:08.000
<v Speaker 2>more likely to occur. Can you talk about how you

0:29:08.080 --> 0:29:10.840
<v Speaker 2>decide what a hot spot is and whether you know

0:29:10.880 --> 0:29:12.680
<v Speaker 2>sort of what makes a hot spot a hot spot?

0:29:12.720 --> 0:29:13.160
<v Speaker 3>Basically?

0:29:13.200 --> 0:29:19.040
<v Speaker 6>Okay, Yeah, so hotspots for us uh, you know involve

0:29:19.280 --> 0:29:22.000
<v Speaker 6>you know, a map with colors, and of course the

0:29:22.000 --> 0:29:24.760
<v Speaker 6>hotter the spot, the redder the place on the map,

0:29:25.480 --> 0:29:28.680
<v Speaker 6>but what what are the underpinnings of that map. So

0:29:29.160 --> 0:29:32.480
<v Speaker 6>we've done a lot of research throughout well many of

0:29:32.520 --> 0:29:35.680
<v Speaker 6>us before predicts started, but throughout the decade of predict

0:29:36.080 --> 0:29:39.120
<v Speaker 6>to really figure that out and improve those models is

0:29:39.200 --> 0:29:41.480
<v Speaker 6>kind of what I was saying about bringing that data

0:29:41.520 --> 0:29:44.200
<v Speaker 6>back into the models and the things that make a

0:29:44.200 --> 0:29:48.280
<v Speaker 6>hot spot a hot spot so far are places where

0:29:48.400 --> 0:29:53.280
<v Speaker 6>there's wildlife, so biodiversity is critical. Places where people are

0:29:53.280 --> 0:29:57.480
<v Speaker 6>interacting with that wildlife, and so we call those high

0:29:57.560 --> 0:30:00.200
<v Speaker 6>risk in our faces. So we identify those higher risk

0:30:00.280 --> 0:30:05.000
<v Speaker 6>in our faces. Those often come together where human population

0:30:05.120 --> 0:30:09.400
<v Speaker 6>growth is high, biodiversity is high, and landscape change is

0:30:09.760 --> 0:30:14.880
<v Speaker 6>high or evolving. So in the more pristine areas we

0:30:14.960 --> 0:30:17.840
<v Speaker 6>often have a little bit lower risk. In the more

0:30:17.960 --> 0:30:21.880
<v Speaker 6>urban areas, we have high risk for amplification and spread,

0:30:21.920 --> 0:30:24.120
<v Speaker 6>but a little bit lower risk for spillover. It's kind

0:30:24.160 --> 0:30:28.479
<v Speaker 6>of those intermediate areas where things are changing, you're chopping

0:30:28.520 --> 0:30:33.240
<v Speaker 6>down for us to make farmland. Those kinds of areas

0:30:33.560 --> 0:30:36.440
<v Speaker 6>where we really see the systems of the animals and

0:30:36.480 --> 0:30:41.080
<v Speaker 6>the people being stressed and the ecosystems being stressed, and

0:30:41.120 --> 0:30:44.200
<v Speaker 6>that makes for a perfect recipe for spillover.

0:30:45.400 --> 0:30:49.400
<v Speaker 2>Yeah, that makes sense. So on the podcast we've talked

0:30:49.400 --> 0:30:52.640
<v Speaker 2>a lot about spillover events in general, but could you

0:30:52.720 --> 0:30:54.480
<v Speaker 2>kind of give us like a step by step and

0:30:54.560 --> 0:30:57.160
<v Speaker 2>maybe whether there are any patterns that we can see

0:30:57.200 --> 0:30:58.920
<v Speaker 2>in all spillover events.

0:31:00.600 --> 0:31:04.600
<v Speaker 6>Well, I'm sure your listeners are quite a bit better

0:31:04.720 --> 0:31:09.280
<v Speaker 6>verse now about the human food value chain, including all

0:31:09.280 --> 0:31:15.000
<v Speaker 6>the way from hunting or farming food, especially wildlife or

0:31:15.040 --> 0:31:18.160
<v Speaker 6>species that aren't used to being farmed or are coming

0:31:18.200 --> 0:31:21.959
<v Speaker 6>in too often contact with humans, or throughout evolutionary history

0:31:22.000 --> 0:31:25.040
<v Speaker 6>haven't been living in close contact with humans.

0:31:25.080 --> 0:31:28.960
<v Speaker 4>So all the way through that wildlife human food.

0:31:28.760 --> 0:31:33.080
<v Speaker 6>Value chain, we have concerns, and certainly we've been raising

0:31:33.120 --> 0:31:37.160
<v Speaker 6>the flag about our concerns, especially at the market level

0:31:37.200 --> 0:31:40.480
<v Speaker 6>where you have a lot of wildlife species mixing together

0:31:40.720 --> 0:31:45.120
<v Speaker 6>that don't normally live together. So again, really big ecosystem disturbance,

0:31:45.360 --> 0:31:49.479
<v Speaker 6>even if the ecosystem is the market, because you're housing

0:31:49.560 --> 0:31:53.000
<v Speaker 6>these animals together, and then all the way through to restaurants,

0:31:53.120 --> 0:31:56.120
<v Speaker 6>restaurants that keep live animals, but restaurants that buy the

0:31:56.160 --> 0:32:00.640
<v Speaker 6>animals at those markets. So that's one that people are

0:32:00.680 --> 0:32:03.920
<v Speaker 6>now aware of that we've been kind of concerned about

0:32:03.960 --> 0:32:07.760
<v Speaker 6>warning about. Conservation organizations also been warning about for a

0:32:07.800 --> 0:32:12.480
<v Speaker 6>long time. Other ones are really things that people didn't

0:32:12.520 --> 0:32:14.200
<v Speaker 6>necessarily aren't thinking about.

0:32:14.240 --> 0:32:16.880
<v Speaker 4>Here, there's a huge bat guano.

0:32:16.840 --> 0:32:20.280
<v Speaker 6>Industry all the way from going into caves and collecting

0:32:20.280 --> 0:32:23.720
<v Speaker 6>guano from natural caves that just the humans in their

0:32:23.840 --> 0:32:27.760
<v Speaker 6>digging is a big at us system disturbance, or setting

0:32:27.840 --> 0:32:31.320
<v Speaker 6>up actual attractants for bats to collect their guano so

0:32:31.360 --> 0:32:36.160
<v Speaker 6>that they preferentially, you know, roost in palm fronds right

0:32:36.200 --> 0:32:38.400
<v Speaker 6>at the farm and then you can take that guano

0:32:38.480 --> 0:32:42.040
<v Speaker 6>and put it right onto the fields for fertilizer. So

0:32:42.160 --> 0:32:45.480
<v Speaker 6>these are really other important in our faces. And then

0:32:45.520 --> 0:32:49.440
<v Speaker 6>there were ones that just take us into the wilds.

0:32:49.600 --> 0:32:52.920
<v Speaker 6>For example, we need elements and minerals for our cell

0:32:52.960 --> 0:32:57.200
<v Speaker 6>phones to make them faster, thinner, sexier, better, and we

0:32:57.520 --> 0:33:02.400
<v Speaker 6>often need need those minerals for rare places for human

0:33:02.720 --> 0:33:06.880
<v Speaker 6>populations to go, like deep into caves. So all these

0:33:06.920 --> 0:33:10.360
<v Speaker 6>things are our interfaces that I think you can think of,

0:33:10.840 --> 0:33:13.320
<v Speaker 6>but they do all have something in common, and that

0:33:13.520 --> 0:33:17.880
<v Speaker 6>is that people are sort of treading heavily into systems

0:33:18.080 --> 0:33:24.480
<v Speaker 6>or effectively changing the evolutionary patterns that have been at

0:33:24.480 --> 0:33:28.360
<v Speaker 6>work for hundreds of years. So when we disrupt those patterns,

0:33:28.600 --> 0:33:32.600
<v Speaker 6>we put ourselves at risk, both because we may be

0:33:33.040 --> 0:33:36.000
<v Speaker 6>out of our element, but most especially because we're putting

0:33:36.040 --> 0:33:39.760
<v Speaker 6>pressure on the systems, including the wildlife in those systems.

0:33:39.800 --> 0:33:44.440
<v Speaker 6>So we may expose ourselves to things that we're susceptible

0:33:44.480 --> 0:33:47.120
<v Speaker 6>to because we're evolutionarily naive.

0:33:47.920 --> 0:33:51.240
<v Speaker 2>Absolutely, And so you know, in talking about land use

0:33:51.320 --> 0:33:54.720
<v Speaker 2>change and that interface or that barrier between humans and

0:33:54.760 --> 0:33:58.520
<v Speaker 2>wildlife seems to have kind of decreased. Well, the barrier

0:33:58.560 --> 0:34:02.120
<v Speaker 2>has decreased, the land you change has increased over the past, say,

0:34:02.360 --> 0:34:05.080
<v Speaker 2>one hundred two hundred years, And so do we see

0:34:05.120 --> 0:34:08.960
<v Speaker 2>a corresponding increase in spillover events?

0:34:09.120 --> 0:34:10.520
<v Speaker 4>Unfortunately, we certainly have.

0:34:11.280 --> 0:34:15.439
<v Speaker 6>Our projections and those of other great scientists show that

0:34:15.640 --> 0:34:22.720
<v Speaker 6>we can expect about three recognized emerging infectious diseases each year.

0:34:22.920 --> 0:34:25.840
<v Speaker 6>And I think that our projections will be updated to

0:34:25.880 --> 0:34:29.919
<v Speaker 6>even show more. Our predictata is showing that spillovers are

0:34:29.960 --> 0:34:35.280
<v Speaker 6>happening actually quite frequently, even of things as scary as avlaviruses,

0:34:35.840 --> 0:34:39.719
<v Speaker 6>and that they don't always, in fact, don't often take

0:34:39.760 --> 0:34:43.319
<v Speaker 6>off and cause a recognized outbreak. They might only make

0:34:43.360 --> 0:34:46.320
<v Speaker 6>one person sick and then, for whatever reason, that person

0:34:46.360 --> 0:34:48.240
<v Speaker 6>doesn't infect someone else again.

0:34:48.760 --> 0:34:50.799
<v Speaker 4>As we look at how.

0:34:50.840 --> 0:34:54.480
<v Speaker 6>Humans, animals, and the environment interact, sometimes all of the

0:34:54.520 --> 0:35:00.920
<v Speaker 6>perfect scenarios come together for tragedy, and sometimes they don't,

0:35:01.160 --> 0:35:04.360
<v Speaker 6>and just one person gets sick and no physician anywhere

0:35:04.800 --> 0:35:07.239
<v Speaker 6>would pick that up and think of.

0:35:07.560 --> 0:35:11.080
<v Speaker 4>Testing for something new. In that scenario, the person either

0:35:11.080 --> 0:35:14.960
<v Speaker 4>gets better or they unfortunately don't, and it ends. So

0:35:15.000 --> 0:35:17.840
<v Speaker 4>those spillovers are happening a lot. I think if you

0:35:17.960 --> 0:35:23.240
<v Speaker 4>look throughout history, initially there wasn't great evidence of germ

0:35:23.280 --> 0:35:25.839
<v Speaker 4>theory or people didn't believe in it, so we don't

0:35:25.840 --> 0:35:28.560
<v Speaker 4>have a lot of data for you know, hundreds of

0:35:28.680 --> 0:35:31.520
<v Speaker 4>years ago. And then those pathogens that.

0:35:31.520 --> 0:35:33.719
<v Speaker 6>Were noticed and picked up were the ones we were

0:35:33.719 --> 0:35:37.120
<v Speaker 6>sharing with domestic animals, which make total sense because we're

0:35:37.160 --> 0:35:41.680
<v Speaker 6>living in close contact with them, especially the ones that

0:35:41.719 --> 0:35:44.920
<v Speaker 6>we eat, so we were sharing pathogens with them, and

0:35:45.000 --> 0:35:47.840
<v Speaker 6>we recognize that, and we now documented that we know

0:35:47.920 --> 0:35:50.839
<v Speaker 6>how to control that. Over time, I think we got

0:35:50.880 --> 0:35:54.880
<v Speaker 6>a little complacent, and especially as the human population has grown,

0:35:55.000 --> 0:35:57.760
<v Speaker 6>you know, eight billion people on the Earth were living

0:35:58.400 --> 0:36:02.960
<v Speaker 6>in more frequent contact with wildlife pushing out into wild lands.

0:36:02.680 --> 0:36:04.319
<v Speaker 4>And we need to figure it out.

0:36:05.400 --> 0:36:07.759
<v Speaker 2>Yeah, I guess it's kind of when you think about

0:36:07.760 --> 0:36:09.719
<v Speaker 2>it that way too. It's hard to know how many

0:36:09.840 --> 0:36:13.319
<v Speaker 2>close calls we've had in terms of pandemics, how many

0:36:13.640 --> 0:36:15.960
<v Speaker 2>just was a dead end host kind of a situation.

0:36:16.200 --> 0:36:20.560
<v Speaker 2>So and so, you know, going now specifically into Star's

0:36:20.640 --> 0:36:22.719
<v Speaker 2>CoV two, which is of course, as you know, the

0:36:22.800 --> 0:36:25.920
<v Speaker 2>virus that causes COVID nineteen, what do we know at

0:36:25.960 --> 0:36:29.800
<v Speaker 2>this point as to how it's spilled over into humans,

0:36:29.840 --> 0:36:31.160
<v Speaker 2>what those steps were.

0:36:31.880 --> 0:36:33.239
<v Speaker 4>We don't know much at all.

0:36:33.440 --> 0:36:36.000
<v Speaker 6>Well, first of all, my soapbox, if we had been

0:36:36.000 --> 0:36:38.960
<v Speaker 6>doing this work more broadly earlier.

0:36:39.160 --> 0:36:42.000
<v Speaker 4>And people were beyond.

0:36:41.800 --> 0:36:45.160
<v Speaker 6>Sort of the same people that all collaborate had, if

0:36:45.160 --> 0:36:48.160
<v Speaker 6>we had been paying more attention, we would have been

0:36:48.200 --> 0:36:52.879
<v Speaker 6>able to know a lot more. But unfortunately this kind

0:36:52.880 --> 0:36:57.920
<v Speaker 6>of work will probably not be done or known until

0:36:58.080 --> 0:37:03.480
<v Speaker 6>after the pandemic at Lease begins to wane, because right now,

0:37:03.520 --> 0:37:06.360
<v Speaker 6>the best minds to do this work have to be

0:37:06.480 --> 0:37:08.480
<v Speaker 6>focused on the human to human spread.

0:37:09.000 --> 0:37:10.799
<v Speaker 4>We have to get that under control.

0:37:11.120 --> 0:37:14.520
<v Speaker 6>We do believe with quite a bit of confidence that

0:37:14.719 --> 0:37:19.600
<v Speaker 6>the virus is bat origin and that the evolutionary host

0:37:19.760 --> 0:37:23.440
<v Speaker 6>is vats. Whether or not it's spilled over into an

0:37:23.520 --> 0:37:26.759
<v Speaker 6>intermediate host is a good question, but it didn't need to.

0:37:27.400 --> 0:37:30.960
<v Speaker 6>We know from our other work and receptor binding work

0:37:31.400 --> 0:37:36.600
<v Speaker 6>that these Stars related and Stars too related viruses can

0:37:36.760 --> 0:37:41.799
<v Speaker 6>have quite broad host plasticity or a host range, and

0:37:41.840 --> 0:37:46.000
<v Speaker 6>they can infect numerous species. So there's a lot of

0:37:46.040 --> 0:37:48.480
<v Speaker 6>talk about what that species might have been. And it

0:37:48.520 --> 0:37:51.840
<v Speaker 6>could have been anything that people were exposing themselves to

0:37:51.960 --> 0:37:54.080
<v Speaker 6>in markets or other things, or it could have been

0:37:54.080 --> 0:37:57.600
<v Speaker 6>a bat flying through. So it will take some time

0:37:57.640 --> 0:37:58.439
<v Speaker 6>to figure that out.

0:38:00.400 --> 0:38:02.759
<v Speaker 2>When we do, which I assume hopefully, we will get

0:38:02.760 --> 0:38:05.960
<v Speaker 2>at least a clearer picture of how that spillover event occurred.

0:38:06.719 --> 0:38:09.840
<v Speaker 2>How can we use that information in the future, like

0:38:09.880 --> 0:38:10.839
<v Speaker 2>what does that tell us?

0:38:12.160 --> 0:38:17.680
<v Speaker 6>So always in retrospect we can learn more about how

0:38:17.719 --> 0:38:21.959
<v Speaker 6>to control our risk. That said, I want to live

0:38:22.040 --> 0:38:25.000
<v Speaker 6>in a world where we're not doing it retrospectively. I

0:38:25.000 --> 0:38:28.480
<v Speaker 6>think we can learn more now. And we were learning again,

0:38:28.600 --> 0:38:31.520
<v Speaker 6>as I mentioned, with the predict project. We knew that

0:38:31.719 --> 0:38:36.600
<v Speaker 6>these markets where animals were sort of housed and really

0:38:36.680 --> 0:38:39.600
<v Speaker 6>high density kind of crushed together, stacked on top of

0:38:39.640 --> 0:38:43.000
<v Speaker 6>each other, and multiple species we're mixing that might have

0:38:43.120 --> 0:38:46.359
<v Speaker 6>been occurring in the market that at least amplified, if

0:38:46.400 --> 0:38:50.719
<v Speaker 6>not started, this pandemic. We know that's dangerous, we knew

0:38:50.719 --> 0:38:55.959
<v Speaker 6>it before. Hopefully we will see solid policy change. There's

0:38:55.960 --> 0:39:01.400
<v Speaker 6>some great movement towards that, and some concerning event reopening

0:39:01.400 --> 0:39:04.799
<v Speaker 6>markets and things that point to us really having a

0:39:04.800 --> 0:39:07.680
<v Speaker 6>hard time changing our behavior. Humans are the issue here.

0:39:08.000 --> 0:39:11.480
<v Speaker 6>We have to get more comfortable with change and that's

0:39:11.600 --> 0:39:14.399
<v Speaker 6>evolutionary to us. We're not comfortable with that, so that's

0:39:14.440 --> 0:39:17.120
<v Speaker 6>going to be tough. So we can learn from this one.

0:39:17.480 --> 0:39:21.160
<v Speaker 6>We can also because we have lots of samples and

0:39:21.200 --> 0:39:25.040
<v Speaker 6>lots of people interested, we can learn as we're responding

0:39:25.080 --> 0:39:29.120
<v Speaker 6>to this one about our transmission risk and those intermediate hosts.

0:39:29.120 --> 0:39:32.160
<v Speaker 6>We just have to do the work, and there's so

0:39:32.239 --> 0:39:35.240
<v Speaker 6>much more attention now. I think the time is here.

0:39:35.600 --> 0:39:40.200
<v Speaker 6>We can have a lot of positivity and hope that

0:39:40.480 --> 0:39:43.719
<v Speaker 6>this horrible, horrible tragedy will help us to do things

0:39:43.760 --> 0:39:47.560
<v Speaker 6>differently to keep anything like this from happening again, but

0:39:47.760 --> 0:39:52.440
<v Speaker 6>also to allow us to strengthen our governmental and public

0:39:52.480 --> 0:39:55.600
<v Speaker 6>health systems so that we're much more nimble and ready

0:39:55.680 --> 0:39:59.239
<v Speaker 6>and able to respond to anything that comes our way.

0:40:00.320 --> 0:40:03.680
<v Speaker 2>Yeah, So going back again quickly, just to spill over

0:40:03.719 --> 0:40:06.800
<v Speaker 2>events in general, can you talk about what it means

0:40:06.840 --> 0:40:10.520
<v Speaker 2>for a pathogen to jump species? And also, you know,

0:40:10.560 --> 0:40:13.640
<v Speaker 2>I feel like I hear mostly or read mostly or

0:40:13.680 --> 0:40:19.360
<v Speaker 2>for some reason just associate mostly viruses as jumping species

0:40:19.520 --> 0:40:23.840
<v Speaker 2>more than bacteria. Is that a known characteristic or is

0:40:23.880 --> 0:40:25.920
<v Speaker 2>it just that we hear more about the viruses?

0:40:26.600 --> 0:40:30.160
<v Speaker 6>Well, Aaron, I mean, I think the reason you're hearing

0:40:30.200 --> 0:40:34.040
<v Speaker 6>about it now is because we're paying attention to viruses. Frankly,

0:40:34.480 --> 0:40:38.360
<v Speaker 6>I would say, other than a few really important viruses

0:40:38.600 --> 0:40:43.319
<v Speaker 6>like influenza and HIV, we haven't been in our medical

0:40:43.480 --> 0:40:47.839
<v Speaker 6>history been paying very much attention to viruses. Frankly, you know,

0:40:48.360 --> 0:40:50.920
<v Speaker 6>we know a lot lot more about bacteria because we've

0:40:50.920 --> 0:40:54.279
<v Speaker 6>been paying attention to them. They're easier to work with

0:40:54.280 --> 0:40:58.239
<v Speaker 6>without molecular tools, and now we have the tools, so

0:40:58.280 --> 0:41:00.239
<v Speaker 6>we have no excuses. We need to do that for

0:41:00.360 --> 0:41:02.560
<v Speaker 6>viruses and know as much about them as we've known

0:41:02.600 --> 0:41:03.440
<v Speaker 6>about bacteria.

0:41:05.040 --> 0:41:05.440
<v Speaker 3>Gotcha.

0:41:06.640 --> 0:41:08.799
<v Speaker 2>So you know, I want to talk now a bit

0:41:08.800 --> 0:41:13.400
<v Speaker 2>about what happens when prevention, So identifying these pathogens before

0:41:13.440 --> 0:41:16.359
<v Speaker 2>they spill over or write at a spillover event when

0:41:16.360 --> 0:41:19.319
<v Speaker 2>that has to shift to control efforts. So what are

0:41:19.320 --> 0:41:23.040
<v Speaker 2>the first steps taken for disease ecologists that are studying

0:41:23.080 --> 0:41:26.120
<v Speaker 2>this outbreak in particular, and how is the one health

0:41:26.160 --> 0:41:29.640
<v Speaker 2>approach being used to study and slow down the current pandemic.

0:41:30.760 --> 0:41:33.160
<v Speaker 6>Well, we have to get together and make sure that

0:41:33.360 --> 0:41:36.240
<v Speaker 6>we're again working in that sort of one health approach

0:41:36.239 --> 0:41:38.760
<v Speaker 6>where we're collaboratively bringing the disciplines together.

0:41:39.120 --> 0:41:40.120
<v Speaker 4>Everybody has their.

0:41:40.000 --> 0:41:42.799
<v Speaker 6>Area of expertise and can work on their own specific part,

0:41:42.840 --> 0:41:46.120
<v Speaker 6>but we need to communicate and collaborate to really get

0:41:46.120 --> 0:41:49.960
<v Speaker 6>a handle on things. So in really good one health responses,

0:41:50.400 --> 0:41:55.480
<v Speaker 6>we see the governments and entities regulatory entities that are

0:41:55.520 --> 0:42:01.160
<v Speaker 6>in charge pulling together those platforms for communication, collaboration and

0:42:01.440 --> 0:42:05.120
<v Speaker 6>assignments of everybody's different role and then coming back together.

0:42:05.480 --> 0:42:08.720
<v Speaker 6>In Uganda, for example, they have a Zonautic Disease Task

0:42:08.760 --> 0:42:11.719
<v Speaker 6>Force that over the years of the predict project, we

0:42:11.800 --> 0:42:14.319
<v Speaker 6>saw it going from just you know, being sort of

0:42:14.320 --> 0:42:18.080
<v Speaker 6>ad hoc and stood up often way too late when

0:42:18.120 --> 0:42:22.399
<v Speaker 6>an outbreak started, to being a constant, permanent committee that

0:42:22.480 --> 0:42:26.280
<v Speaker 6>was ready and available and would be activated within hours

0:42:26.280 --> 0:42:29.399
<v Speaker 6>of a first case being identified, and then you could

0:42:29.480 --> 0:42:32.640
<v Speaker 6>see that the environmental team would go out and start

0:42:32.800 --> 0:42:37.839
<v Speaker 6>sampling in the environment, understanding the environmental exposures, figuring out

0:42:37.920 --> 0:42:40.239
<v Speaker 6>how to clean those up and protect people. You saw

0:42:40.280 --> 0:42:43.399
<v Speaker 6>the animal side trying to find the hosts, making sure

0:42:43.800 --> 0:42:47.920
<v Speaker 6>additional spillovers don't happen or things don't get amplified in

0:42:48.040 --> 0:42:51.640
<v Speaker 6>animal hosts while the really important work for human to

0:42:51.719 --> 0:42:57.400
<v Speaker 6>human spread contact tracing control go into place. Unfortunately, at

0:42:57.520 --> 0:43:00.720
<v Speaker 6>least here in our country, that didn't happen this time,

0:43:00.840 --> 0:43:03.279
<v Speaker 6>and I'm you know, disappointed about that.

0:43:03.560 --> 0:43:05.080
<v Speaker 4>But the only thing that.

0:43:04.960 --> 0:43:09.400
<v Speaker 6>We can do now is say we have the opportunity

0:43:09.520 --> 0:43:11.000
<v Speaker 6>to fix that for the future.

0:43:12.360 --> 0:43:12.640
<v Speaker 3>Yeah.

0:43:12.680 --> 0:43:17.279
<v Speaker 2>Absolutely, I wanted to talk a bit about conservation and

0:43:17.320 --> 0:43:21.000
<v Speaker 2>how wildlife conservation fits into this and what role we

0:43:21.080 --> 0:43:25.839
<v Speaker 2>see wildlife conservation playing in spillover events or preventing them,

0:43:26.160 --> 0:43:28.400
<v Speaker 2>and then also maybe a little bit of the conflict

0:43:28.920 --> 0:43:33.600
<v Speaker 2>in terms of how wildlife conservation is sort of a

0:43:33.640 --> 0:43:37.400
<v Speaker 2>you know, public greater good thing when people are struggling

0:43:37.400 --> 0:43:39.200
<v Speaker 2>to feed their families. I don't know if you wanted

0:43:39.200 --> 0:43:40.920
<v Speaker 2>to chat a little bit about that.

0:43:41.880 --> 0:43:45.520
<v Speaker 6>Absolutely, so, especially in this one, I think there's a

0:43:45.600 --> 0:43:50.040
<v Speaker 6>moment here that we shouldn't lose. From a wildlife conservation perspective,

0:43:50.480 --> 0:43:55.279
<v Speaker 6>people are aware that wildlife in markets now presents a risk,

0:43:55.880 --> 0:44:00.200
<v Speaker 6>and it's really the heavily trafficked wildlife that presents the

0:44:00.239 --> 0:44:06.160
<v Speaker 6>biggest challenge from a conservation perspective. And even for the

0:44:06.160 --> 0:44:11.280
<v Speaker 6>most heavily trafficked wildlife penguins, we're seeing that they're likely

0:44:11.320 --> 0:44:17.280
<v Speaker 6>susceptible hosts or at least could be infected with closely

0:44:17.320 --> 0:44:19.879
<v Speaker 6>related if not this Stars two coronavirus.

0:44:19.920 --> 0:44:22.040
<v Speaker 4>So first and foremost.

0:44:21.680 --> 0:44:26.240
<v Speaker 6>Wildlife that is moving around the planet, sometimes legally, sometimes

0:44:26.280 --> 0:44:31.440
<v Speaker 6>not legally, and into our value chains for medicines, foods,

0:44:31.440 --> 0:44:37.080
<v Speaker 6>and things, those are targets of surveillance and control. And

0:44:37.200 --> 0:44:44.000
<v Speaker 6>for wildlife that's trafficked or hunted, captured, transferred illegally, we

0:44:44.080 --> 0:44:47.400
<v Speaker 6>can really do a greater good for the wildlife while

0:44:47.520 --> 0:44:53.080
<v Speaker 6>also doing an amazing risk reduction effort for humans. So

0:44:53.239 --> 0:44:55.600
<v Speaker 6>I think that the time is now to look at that.

0:44:55.800 --> 0:44:59.520
<v Speaker 6>And frankly, a lot of that traffic wildlife is moved

0:44:59.600 --> 0:45:04.080
<v Speaker 6>by the same bad actors that move drugs and traffic humans,

0:45:04.160 --> 0:45:07.920
<v Speaker 6>and we want to see that stopped. Certainly, there are

0:45:07.960 --> 0:45:12.680
<v Speaker 6>places where we look at the tradeoffs of protein availability

0:45:12.719 --> 0:45:17.279
<v Speaker 6>and nutrition and what's available to people. So certainly we

0:45:17.320 --> 0:45:21.120
<v Speaker 6>can think about better ways to get protein into diets

0:45:21.239 --> 0:45:26.680
<v Speaker 6>than eating wildlife. But really, frankly, in my last decade

0:45:26.719 --> 0:45:29.640
<v Speaker 6>of work and going to these markets, most of the

0:45:29.680 --> 0:45:31.080
<v Speaker 6>wildlife is more expensive.

0:45:31.080 --> 0:45:33.080
<v Speaker 4>We have papers on this. Most of the wildlife is

0:45:33.120 --> 0:45:34.520
<v Speaker 4>more expensive.

0:45:34.040 --> 0:45:38.160
<v Speaker 6>Than chickens and even pork, which is sometimes a very

0:45:38.239 --> 0:45:39.239
<v Speaker 6>highly valued meat.

0:45:39.760 --> 0:45:41.000
<v Speaker 4>And it's really.

0:45:40.840 --> 0:45:45.799
<v Speaker 6>Tradition and sort of the everybody at Thanksgiving has the

0:45:45.840 --> 0:45:48.279
<v Speaker 6>thing they like the best. Some people want to make

0:45:48.280 --> 0:45:52.520
<v Speaker 6>sure there's turkey or macaroni and cheese, and families all

0:45:52.560 --> 0:45:57.240
<v Speaker 6>over the world have those preferences and traditional dishes.

0:45:56.880 --> 0:45:59.440
<v Speaker 4>That make events special.

0:45:59.840 --> 0:46:03.200
<v Speaker 6>And that is a lot of what we see in

0:46:02.680 --> 0:46:08.080
<v Speaker 6>the legal wildlife trade. And so again it's human behavior

0:46:08.120 --> 0:46:11.560
<v Speaker 6>and what will tolerate and what will change to protect

0:46:12.040 --> 0:46:14.040
<v Speaker 6>ourselves as well as the planet.

0:46:14.880 --> 0:46:18.719
<v Speaker 2>Mm hmm, absolutely, I mean, and it's hard because I

0:46:18.760 --> 0:46:21.040
<v Speaker 2>think this is again where something like a one health

0:46:21.040 --> 0:46:24.640
<v Speaker 2>approach or a more interdisciplinary approach is really crucial in

0:46:25.320 --> 0:46:30.920
<v Speaker 2>trying to get messages not only from the people studying

0:46:30.960 --> 0:46:34.640
<v Speaker 2>these pathogens to people maybe expose these pathogens, but also

0:46:34.719 --> 0:46:37.000
<v Speaker 2>vice versa. What are the things that they're concerned about,

0:46:37.080 --> 0:46:39.239
<v Speaker 2>what are the trade offs that they view, and how

0:46:39.280 --> 0:46:43.000
<v Speaker 2>do we come to a compromise while also making everyone healthy?

0:46:43.200 --> 0:46:43.480
<v Speaker 4>Yeah?

0:46:43.520 --> 0:46:48.400
<v Speaker 2>Absolutely so so far in this pandemic. What do you

0:46:48.480 --> 0:46:51.480
<v Speaker 2>think we have learned from a one health or maybe

0:46:51.520 --> 0:46:54.920
<v Speaker 2>a disease ecology perspective that you think could help us

0:46:54.960 --> 0:46:58.919
<v Speaker 2>prepare for or hopefully stop the next one.

0:46:59.160 --> 0:47:01.240
<v Speaker 4>Well, certainly need to be ready earlier.

0:47:01.600 --> 0:47:04.640
<v Speaker 6>So what we did with the predict project provided a

0:47:04.680 --> 0:47:07.360
<v Speaker 6>proof of concept that we need to go even further,

0:47:08.480 --> 0:47:12.640
<v Speaker 6>and we need to have a one health approach to

0:47:12.760 --> 0:47:14.080
<v Speaker 6>be able to prepare.

0:47:14.640 --> 0:47:16.840
<v Speaker 4>That's why you know, I've.

0:47:16.760 --> 0:47:20.560
<v Speaker 6>Joined the Global Virum Project, and we really want to

0:47:21.360 --> 0:47:25.719
<v Speaker 6>understand the host, the interfaces, the geographical locations, not just

0:47:26.560 --> 0:47:30.160
<v Speaker 6>identify the viruses early, but understand what will make them

0:47:30.520 --> 0:47:34.719
<v Speaker 6>a jumper and how to target therapeutics and diagnostics. And

0:47:35.200 --> 0:47:39.120
<v Speaker 6>that takes more than just finding the virus once. Really,

0:47:39.680 --> 0:47:43.080
<v Speaker 6>you know, we've been working on a risk ranking for

0:47:43.360 --> 0:47:46.360
<v Speaker 6>all the new viruses that we've found and others have found,

0:47:46.360 --> 0:47:51.319
<v Speaker 6>and a tool that we call spillover that that will

0:47:51.320 --> 0:47:54.520
<v Speaker 6>help us rank those viruses. We've used experts from around

0:47:54.560 --> 0:47:56.359
<v Speaker 6>the world the best in the field to help us

0:47:56.480 --> 0:48:03.080
<v Speaker 6>rank about forty different factors epidemiological, ecologically, viralogically, to help

0:48:03.200 --> 0:48:07.920
<v Speaker 6>us collect that information and rank new viruses as they're found.

0:48:08.360 --> 0:48:12.320
<v Speaker 6>The key thing to that is is having enough detections

0:48:12.680 --> 0:48:16.680
<v Speaker 6>to understand if they're single host viruses or if they're

0:48:16.840 --> 0:48:20.880
<v Speaker 6>easily moving between species. And if they're easily moving between species,

0:48:20.920 --> 0:48:23.640
<v Speaker 6>that certainly moves them way up high on our risk ranking.

0:48:24.719 --> 0:48:28.640
<v Speaker 2>How do you determine whether something easily moves between species?

0:48:28.760 --> 0:48:31.680
<v Speaker 2>Is that something like that's a genomic question or is

0:48:31.719 --> 0:48:33.080
<v Speaker 2>it an experimental question.

0:48:34.120 --> 0:48:35.320
<v Speaker 4>We can do it multiple ways.

0:48:35.320 --> 0:48:38.880
<v Speaker 6>So certainly we can do it genomically, looking at both

0:48:39.000 --> 0:48:42.480
<v Speaker 6>the virus' ability to bind to receptors and then the

0:48:42.600 --> 0:48:46.600
<v Speaker 6>host receptors' ability to receive that virus.

0:48:46.680 --> 0:48:48.200
<v Speaker 4>That's happening with coronaviruses.

0:48:48.239 --> 0:48:50.759
<v Speaker 6>We've been doing that for quite a few years and

0:48:50.800 --> 0:48:53.400
<v Speaker 6>working with some of the best folks out there, like

0:48:53.440 --> 0:48:55.680
<v Speaker 6>at North Carolina University to do that work.

0:48:56.120 --> 0:48:58.400
<v Speaker 4>But you can also do it in a low tech way.

0:48:58.800 --> 0:49:01.520
<v Speaker 6>And frankly, if you go out and sample the wildlife

0:49:01.560 --> 0:49:04.839
<v Speaker 6>and you find the viruses, then they're getting into those wildlife,

0:49:04.880 --> 0:49:09.000
<v Speaker 6>so you don't necessarily for every single virus need to

0:49:09.080 --> 0:49:14.920
<v Speaker 6>do heavy duty laboratory investigations because that's very expensive and

0:49:15.000 --> 0:49:19.560
<v Speaker 6>time consuming. You can start by identifying those viruses and

0:49:19.640 --> 0:49:22.640
<v Speaker 6>if you're doing heavy sampling, you can say, okay, this

0:49:22.680 --> 0:49:25.719
<v Speaker 6>one is only ever being found in this one species.

0:49:25.840 --> 0:49:27.640
<v Speaker 4>It's much less likely to jump.

0:49:27.920 --> 0:49:31.120
<v Speaker 6>Let's look at it spike protein and in the host

0:49:31.200 --> 0:49:34.040
<v Speaker 6>that is two receptors. To see what makes that one

0:49:34.080 --> 0:49:37.239
<v Speaker 6>different than all these coronaviruses that seem to be able

0:49:37.239 --> 0:49:37.800
<v Speaker 6>to jump.

0:49:37.680 --> 0:49:39.680
<v Speaker 4>And we find in dozens of posts.

0:49:40.120 --> 0:49:43.600
<v Speaker 2>Mm hmmmm. You know, I think the predict project with

0:49:43.640 --> 0:49:46.480
<v Speaker 2>its one health approach is such a perfect example of

0:49:47.080 --> 0:49:51.200
<v Speaker 2>how you can have expertise in one field and bring

0:49:51.280 --> 0:49:53.520
<v Speaker 2>so many different people together with all so many different

0:49:53.560 --> 0:49:57.560
<v Speaker 2>expertise together to still work on one common goal. And

0:49:57.640 --> 0:50:04.000
<v Speaker 2>so you know you mentioned mathematician AND's field, ecologists, veterinarians, physicians, Like,

0:50:04.040 --> 0:50:06.400
<v Speaker 2>what are some other examples of people? Because I know

0:50:06.440 --> 0:50:08.719
<v Speaker 2>that people after this are going to want to get

0:50:08.760 --> 0:50:11.439
<v Speaker 2>involved and maybe this is something that speaks to them.

0:50:11.560 --> 0:50:12.640
<v Speaker 2>So what can they do?

0:50:13.360 --> 0:50:15.799
<v Speaker 4>I mean a big one that we need more of that.

0:50:15.880 --> 0:50:19.160
<v Speaker 6>We have some great social scientists working with us, both

0:50:19.200 --> 0:50:23.719
<v Speaker 6>in the behavior realm and the in economics on the

0:50:23.840 --> 0:50:28.160
<v Speaker 6>Predict Project and the Global viron Project, those areas of

0:50:28.200 --> 0:50:33.359
<v Speaker 6>expertise are underrepresented in health work, and frankly, because they're

0:50:33.440 --> 0:50:37.880
<v Speaker 6>underrepresented in health work in academia, we've undertrained people to

0:50:37.960 --> 0:50:40.160
<v Speaker 6>help us with this, and we're going to feel that,

0:50:40.560 --> 0:50:44.719
<v Speaker 6>especially from the behavior change perspective, we really need those

0:50:44.840 --> 0:50:48.880
<v Speaker 6>medical and cultural anthropologists that are willing and able to

0:50:49.239 --> 0:50:52.640
<v Speaker 6>innovate in behavior change if we're going to get in front.

0:50:52.480 --> 0:50:53.120
<v Speaker 4>Of these things.

0:50:54.320 --> 0:50:58.400
<v Speaker 2>Awesome. So what do you think are some of the

0:50:58.440 --> 0:51:03.600
<v Speaker 2>biggest barriers or es in identifying these spillover events in

0:51:03.640 --> 0:51:06.040
<v Speaker 2>the future? And maybe you know, even though we've learned

0:51:06.040 --> 0:51:08.160
<v Speaker 2>so much from this, what do you think in the

0:51:08.200 --> 0:51:11.160
<v Speaker 2>future is going to make it more difficult to prevent

0:51:11.280 --> 0:51:12.760
<v Speaker 2>something like this from happening again.

0:51:13.880 --> 0:51:16.160
<v Speaker 6>Well, for me, the future is right and I have

0:51:16.200 --> 0:51:20.399
<v Speaker 6>a lot of hope that this tragedy will allow us

0:51:20.480 --> 0:51:24.759
<v Speaker 6>to not have to live with the barriers anymore. I

0:51:24.760 --> 0:51:27.319
<v Speaker 6>think the barriers have always been there and we can

0:51:27.320 --> 0:51:32.360
<v Speaker 6>break them down now. The barriers are really human nature barriers.

0:51:32.760 --> 0:51:35.640
<v Speaker 6>We deal with what we were worried about because it

0:51:35.800 --> 0:51:40.080
<v Speaker 6>just happened, instead of looking forward. It's hard to prioritize

0:51:40.120 --> 0:51:44.120
<v Speaker 6>resources to things that might only might happen instead of

0:51:44.280 --> 0:51:48.160
<v Speaker 6>definitely will happen. And when the resources are limited, of

0:51:48.200 --> 0:51:50.480
<v Speaker 6>course we're going to take care of what's affecting our

0:51:50.480 --> 0:51:54.240
<v Speaker 6>population right now, but in some of the better resource

0:51:54.360 --> 0:51:57.160
<v Speaker 6>countries like our own, we need to contribute to and

0:51:57.239 --> 0:52:01.080
<v Speaker 6>take care of what we know will come, even if

0:52:01.160 --> 0:52:05.760
<v Speaker 6>we don't know when. So I think those barriers are

0:52:05.840 --> 0:52:08.680
<v Speaker 6>lowered right now. We have to take advantage of that

0:52:08.800 --> 0:52:13.640
<v Speaker 6>lowering to really stop chasing the last eponemic and start

0:52:13.680 --> 0:52:16.919
<v Speaker 6>preparing for the next one. And we can prepare sort

0:52:16.960 --> 0:52:20.960
<v Speaker 6>of agnostically to the pathogen to be ready to bring

0:52:21.080 --> 0:52:24.400
<v Speaker 6>in the right people. So if the next one happens

0:52:24.400 --> 0:52:28.240
<v Speaker 6>to be a paramixa virus like measles in that family,

0:52:28.760 --> 0:52:32.000
<v Speaker 6>we can have all the contingency plans and bring in

0:52:32.040 --> 0:52:34.759
<v Speaker 6>the best labs that work on those every day for

0:52:34.920 --> 0:52:41.120
<v Speaker 6>that emergency early phase response, so that while our government

0:52:41.120 --> 0:52:43.600
<v Speaker 6>gets ready and makes its test kits and everything, we

0:52:43.640 --> 0:52:48.399
<v Speaker 6>aren't just waiting. We're testing, and we're using that very

0:52:48.560 --> 0:52:52.520
<v Speaker 6>willing and able workforce that can be pre approved on

0:52:52.560 --> 0:52:56.319
<v Speaker 6>a contingency basis. So I really think those barriers are

0:52:56.360 --> 0:53:00.400
<v Speaker 6>down right now, but we need to take advantage of this,

0:53:00.400 --> 0:53:28.919
<v Speaker 6>this opportunity that's presented itself out of chaos and tragedy.

0:53:29.400 --> 0:53:33.360
<v Speaker 2>That was awesome. Thank you so much, doctor Mazette. I

0:53:33.480 --> 0:53:35.160
<v Speaker 2>just had the greatest time talking with you.

0:53:36.680 --> 0:53:38.280
<v Speaker 3>I'm just so jealous, Aaron.

0:53:41.920 --> 0:53:47.239
<v Speaker 1>I'm at home with a baby currently who doesn't like

0:53:47.320 --> 0:53:49.080
<v Speaker 1>to nap for long enough for me to get to

0:53:49.120 --> 0:53:50.480
<v Speaker 1>do these interviews.

0:53:51.280 --> 0:53:54.880
<v Speaker 2>Listen, your presence was missed, and.

0:53:55.280 --> 0:54:01.160
<v Speaker 1>Yep, someday I'd like to meet you, doctor Mazette. Anyways,

0:54:02.040 --> 0:54:03.920
<v Speaker 1>what did we learn from that interview?

0:54:04.200 --> 0:54:07.040
<v Speaker 2>We learned a lot of things, a lot of things.

0:54:08.440 --> 0:54:10.880
<v Speaker 2>Let's talk about the five just as we have for

0:54:11.080 --> 0:54:14.520
<v Speaker 2>other episodes in the series. So the first thing that

0:54:14.560 --> 0:54:17.960
<v Speaker 2>we learned isn't that new, and we've said it before,

0:54:18.040 --> 0:54:21.640
<v Speaker 2>but I think it bears repeating. Spillover events have been

0:54:21.719 --> 0:54:24.759
<v Speaker 2>on the rise for a very long time, and there

0:54:24.840 --> 0:54:29.880
<v Speaker 2>is no slowing down. In sight. Researchers estimate that we'll

0:54:29.880 --> 0:54:36.680
<v Speaker 2>see three recognized emerging infectious diseases every year. Three Those

0:54:36.760 --> 0:54:40.680
<v Speaker 2>are just the ones that we recognize, and so that

0:54:40.800 --> 0:54:43.520
<v Speaker 2>means that there are a good deal of spillover events

0:54:43.600 --> 0:54:46.840
<v Speaker 2>or emerging infectious diseases that we may not even realize

0:54:46.880 --> 0:54:50.799
<v Speaker 2>are there simply because the person got better or they

0:54:50.840 --> 0:54:53.440
<v Speaker 2>died and no one else got infected, and we didn't

0:54:53.480 --> 0:54:55.200
<v Speaker 2>know what to look for, or even that we should

0:54:55.239 --> 0:54:59.160
<v Speaker 2>be looking for something. So the more we look, the

0:54:59.160 --> 0:55:02.120
<v Speaker 2>more likely we are to catch something early and stop

0:55:02.160 --> 0:55:04.000
<v Speaker 2>a potential pandemic in its tracks.

0:55:05.760 --> 0:55:11.719
<v Speaker 1>Dang three A year, three a year, my gracious all right?

0:55:11.800 --> 0:55:12.759
<v Speaker 3>Number two.

0:55:13.120 --> 0:55:16.880
<v Speaker 1>There is a usual sequence of events that emerging infectious

0:55:16.920 --> 0:55:21.719
<v Speaker 1>disease researchers follow when they collect and present their data. Normally,

0:55:22.000 --> 0:55:25.680
<v Speaker 1>it goes like this, collect data, present the data to

0:55:25.760 --> 0:55:28.759
<v Speaker 1>governments of the countries where you're working, and then begin

0:55:28.840 --> 0:55:32.520
<v Speaker 1>the lengthy process of publishing the data in peer reviewed articles.

0:55:33.360 --> 0:55:36.239
<v Speaker 1>An ethical dilemma can arise about whether the data you've

0:55:36.239 --> 0:55:39.120
<v Speaker 1>collected should be shared with the communities at risk before

0:55:39.160 --> 0:55:42.080
<v Speaker 1>being published, And the reason for that dilemma is not

0:55:42.120 --> 0:55:45.080
<v Speaker 1>because you're worried about being scooped, but because the peer

0:55:45.080 --> 0:55:47.719
<v Speaker 1>review process is an important way of double checking your

0:55:47.719 --> 0:55:50.080
<v Speaker 1>work with people who don't have any horse in the race.

0:55:50.760 --> 0:55:53.040
<v Speaker 1>By and large, though, there seems to be consensus that

0:55:53.120 --> 0:55:56.120
<v Speaker 1>getting that information to the communities at risk as soon

0:55:56.160 --> 0:55:58.839
<v Speaker 1>as possible is the right thing to do, even if

0:55:58.880 --> 0:56:01.160
<v Speaker 1>the data aren't published yet. And this is something that

0:56:01.160 --> 0:56:03.279
<v Speaker 1>we've seen a lot in this current pandemic and will

0:56:03.280 --> 0:56:05.560
<v Speaker 1>hopefully cause us to re examine the way we get

0:56:05.560 --> 0:56:08.080
<v Speaker 1>public health information out there in the future.

0:56:09.560 --> 0:56:13.400
<v Speaker 2>Number Three, we know how spillover events happen and we

0:56:13.480 --> 0:56:17.360
<v Speaker 2>can estimate where they are most likely to occur. Spillover

0:56:17.440 --> 0:56:21.760
<v Speaker 2>events are caused by humans invading wild spaces and wild

0:56:21.800 --> 0:56:26.359
<v Speaker 2>animal habitats, changing the natural environment. When people do this,

0:56:26.440 --> 0:56:29.000
<v Speaker 2>we stress the systems and the wildlife, and that leads

0:56:29.080 --> 0:56:31.920
<v Speaker 2>to us exposing ourselves to things to which we are

0:56:31.960 --> 0:56:36.760
<v Speaker 2>immunologically naive, something we've never our bodies have never seen before.

0:56:37.880 --> 0:56:40.680
<v Speaker 2>And so the places that tend to be hot spots

0:56:40.719 --> 0:56:45.160
<v Speaker 2>for spillover events are high in biodiversity and have increasing

0:56:45.280 --> 0:56:49.759
<v Speaker 2>or evolving landscape change. And this is because in those

0:56:49.800 --> 0:56:54.120
<v Speaker 2>places the barriers between humans and wildlife are lowered, and

0:56:54.200 --> 0:56:57.720
<v Speaker 2>the wildlife trade in particular poses a pretty huge threat

0:56:57.800 --> 0:57:00.279
<v Speaker 2>not only to the conservation of some of them most

0:57:00.280 --> 0:57:03.920
<v Speaker 2>trafficked animals, but also to public health because that's where

0:57:03.960 --> 0:57:07.320
<v Speaker 2>a lot of these spillover events happen, and conservation efforts

0:57:07.320 --> 0:57:09.799
<v Speaker 2>would go a long way towards reducing the likelihood of

0:57:09.800 --> 0:57:13.759
<v Speaker 2>spillover events, but policies also need to be sensitive and

0:57:13.840 --> 0:57:16.880
<v Speaker 2>keep in mind cultural traditions and the basic needs of

0:57:16.960 --> 0:57:18.600
<v Speaker 2>people living in these hotspots.

0:57:19.280 --> 0:57:23.320
<v Speaker 1>Number four, how many times can we say this, We

0:57:23.440 --> 0:57:26.680
<v Speaker 1>need to stop chasing the last pandemic and spend more

0:57:26.760 --> 0:57:33.439
<v Speaker 1>resources on stopping the next one. What by doing that

0:57:33.520 --> 0:57:37.160
<v Speaker 1>we can enable an entire, willing and skilled workforce that

0:57:37.200 --> 0:57:40.600
<v Speaker 1>can give us a leg up on preventing another devastating pandemic.

0:57:41.000 --> 0:57:44.200
<v Speaker 1>We've said before that when these emerging infections occur, we're

0:57:44.240 --> 0:57:46.640
<v Speaker 1>not starting from scratch, but let's make sure we can

0:57:46.680 --> 0:57:48.840
<v Speaker 1>do all we can to start as far away from

0:57:48.920 --> 0:57:52.160
<v Speaker 1>scratch as possible. Invest in global heal.

0:57:53.480 --> 0:58:00.240
<v Speaker 2>Yeah, oh okay. Number five, we gotta work together. We

0:58:00.320 --> 0:58:04.200
<v Speaker 2>got to work together. So working together this is what

0:58:04.440 --> 0:58:08.280
<v Speaker 2>the one Health approach is all about. And so by

0:58:08.520 --> 0:58:11.880
<v Speaker 2>recognizing that the health of humans, animals, plants, and the

0:58:11.960 --> 0:58:15.080
<v Speaker 2>environment is interconnected, it makes it so that a lot

0:58:15.080 --> 0:58:18.120
<v Speaker 2>of disciplines have to work together to understand the drivers

0:58:18.120 --> 0:58:21.840
<v Speaker 2>of disease, and people who work in one Health have

0:58:21.920 --> 0:58:25.520
<v Speaker 2>done a great job of collaborating across disciplines that are

0:58:25.640 --> 0:58:28.680
<v Speaker 2>very different. But there is also a need for more

0:58:28.720 --> 0:58:33.240
<v Speaker 2>social scientists in healthcare and especially health research fields, because

0:58:33.480 --> 0:58:36.280
<v Speaker 2>we can do all of this super cool ecology or

0:58:36.320 --> 0:58:39.360
<v Speaker 2>microbiology or mapping research, but if we want this research

0:58:39.440 --> 0:58:42.720
<v Speaker 2>to make an impact on people, we need to communicate

0:58:42.800 --> 0:58:46.200
<v Speaker 2>these things to communities and get them involved.

0:58:46.720 --> 0:58:47.000
<v Speaker 3>Yes.

0:58:49.880 --> 0:58:56.000
<v Speaker 1>Absolutely, Okay, what a fun episode.

0:58:56.680 --> 0:58:59.920
<v Speaker 2>It was so great. I mean honestly, like, I was

0:59:00.920 --> 0:59:05.280
<v Speaker 2>very nervous. I felt like completely starstruck, and it was

0:59:05.320 --> 0:59:09.480
<v Speaker 2>really fun to talk with her. So and also thank

0:59:09.520 --> 0:59:12.520
<v Speaker 2>you so much to Brooke for putting us in touch

0:59:12.680 --> 0:59:15.720
<v Speaker 2>with doctor Rosette. It was very appreciated.

0:59:16.320 --> 0:59:20.280
<v Speaker 1>Fantastic guest to have. And also a huge thank you

0:59:20.480 --> 0:59:23.640
<v Speaker 1>to my very good friend Zuwen Spiegelman for all of

0:59:23.680 --> 0:59:27.280
<v Speaker 1>your help with our first hand account form. Reminder, if

0:59:27.280 --> 0:59:29.360
<v Speaker 1>you'd like to share your first hand account with us,

0:59:29.440 --> 0:59:32.200
<v Speaker 1>please go to our website this podcast will Kill You

0:59:32.280 --> 0:59:35.560
<v Speaker 1>dot com and click on COVID firsthand.

0:59:36.400 --> 0:59:37.920
<v Speaker 2>Ah, let's do sources real quick.

0:59:38.440 --> 0:59:39.560
<v Speaker 3>Yeah, let's okay.

0:59:40.160 --> 0:59:43.240
<v Speaker 2>Once again, that first hand account was by doctor Craig

0:59:43.280 --> 0:59:46.720
<v Speaker 2>Spencer and the article appeared in the Washington Post. We

0:59:46.800 --> 0:59:49.800
<v Speaker 2>will also post a link to the new recommendations on

0:59:49.800 --> 0:59:54.400
<v Speaker 2>the CDC website regarding the use of cloth face coverings excellent.

0:59:55.360 --> 0:59:58.440
<v Speaker 1>Thank you to Bloodmobile for providing the music for this

0:59:58.560 --> 0:59:59.920
<v Speaker 1>and all of our episodes.

1:00:00.240 --> 1:00:02.680
<v Speaker 2>Did you know that you can find blood ba Bill's

1:00:02.720 --> 1:00:05.240
<v Speaker 2>music if you click on our website and then you

1:00:05.240 --> 1:00:08.280
<v Speaker 2>click on music, you can find it. You can, Dan,

1:00:11.360 --> 1:00:15.280
<v Speaker 2>and thank you to you listeners for listening. We know

1:00:15.360 --> 1:00:18.760
<v Speaker 2>that these are very trying times and so.

1:00:19.640 --> 1:00:21.840
<v Speaker 1>We hope that you find I don't know those of

1:00:21.840 --> 1:00:24.560
<v Speaker 1>you who find comfort in more information, which is obviously

1:00:24.600 --> 1:00:27.560
<v Speaker 1>the kind of people that we are. Hopefully you're getting

1:00:27.560 --> 1:00:30.920
<v Speaker 1>something out of these episodes, and we hope you're staying

1:00:30.960 --> 1:00:33.520
<v Speaker 1>safe and well mentally and physically.

1:00:34.080 --> 1:00:36.600
<v Speaker 2>Yeah, we do. And if there's an aspect of this

1:00:36.760 --> 1:00:40.040
<v Speaker 2>pandemic that you want us to cover in more depth

1:00:40.120 --> 1:00:43.560
<v Speaker 2>or more detail, we're open to hearing suggestions.

1:00:44.440 --> 1:00:45.240
<v Speaker 3>Yeah.

1:00:45.840 --> 1:00:49.400
<v Speaker 2>Well, until next time, wash your hands.

1:00:49.240 --> 1:01:10.960
<v Speaker 5>You feel the animals. Bum bum bum