1 00:00:00,120 --> 00:00:04,080 Speaker 1: If you're actually successful at preventing a pandemic, it looks 2 00:00:04,120 --> 00:00:07,880 Speaker 1: like you're not doing anything because nothing happens. That pandemic 3 00:00:07,920 --> 00:00:15,640 Speaker 1: doesn't happen. It's the big take from Bloomberg News and 4 00:00:15,640 --> 00:00:20,759 Speaker 1: iHeart Radio. I'm West Gasova today. How we're preparing or 5 00:00:20,880 --> 00:00:37,680 Speaker 1: not preparing for the next global pandemic. The coronavirus pandemic 6 00:00:37,800 --> 00:00:40,720 Speaker 1: may not be over, just look at the deadly surge 7 00:00:40,760 --> 00:00:43,800 Speaker 1: in China right now, But in the US and many 8 00:00:43,840 --> 00:00:46,920 Speaker 1: other parts of the world, it's no longer as front 9 00:00:46,960 --> 00:00:50,360 Speaker 1: of mine. And if we're all breathing a tentative side 10 00:00:50,400 --> 00:00:55,360 Speaker 1: of relief, virologists and public policy officials are already starting 11 00:00:55,400 --> 00:00:58,800 Speaker 1: to look ahead to the next pandemic and making sure 12 00:00:58,800 --> 00:01:03,080 Speaker 1: we don't get caught so flat footed when, not if, 13 00:01:03,120 --> 00:01:07,040 Speaker 1: it happens again. So how do we prepare to fight 14 00:01:07,080 --> 00:01:10,600 Speaker 1: off a possible threat we know nothing about when we're 15 00:01:10,600 --> 00:01:13,280 Speaker 1: still struggling to keep on top of the one that's 16 00:01:13,400 --> 00:01:16,680 Speaker 1: right in front of us. Here to answer that question 17 00:01:16,840 --> 00:01:21,399 Speaker 1: is Dr Angela Rasmussen. She's a virologist at the University 18 00:01:21,400 --> 00:01:26,400 Speaker 1: of Saskatchewan's Vaccine and Infectious Disease Organization, and she has 19 00:01:26,400 --> 00:01:31,080 Speaker 1: spent years studying the emergence of Avian flu ebola and 20 00:01:31,120 --> 00:01:37,440 Speaker 1: of course COVID nineteen. Dr Esmuson, thanks so much for 21 00:01:37,480 --> 00:01:40,319 Speaker 1: being here, Thanks so much for having me, Wes, and 22 00:01:40,440 --> 00:01:44,240 Speaker 1: she has someone who thinks about pandemics a lot. I'm 23 00:01:44,240 --> 00:01:46,440 Speaker 1: going to ask you, maybe an unfair question just to start. 24 00:01:47,120 --> 00:01:49,200 Speaker 1: We're not done with this one yet, but where do 25 00:01:49,240 --> 00:01:53,600 Speaker 1: you think the next one comes from? Well, I mean 26 00:01:53,600 --> 00:01:56,440 Speaker 1: I think the next one probably comes from someplace similar 27 00:01:56,480 --> 00:02:00,559 Speaker 1: to where this one came from, and that is, are 28 00:02:00,680 --> 00:02:08,160 Speaker 1: increasing interactions, increasing encroachment on animals on wild spaces, in 29 00:02:08,280 --> 00:02:12,600 Speaker 1: places where people either haven't been before, or in places 30 00:02:12,600 --> 00:02:16,200 Speaker 1: where we're using the land potentially in different ways, interacting 31 00:02:16,760 --> 00:02:21,240 Speaker 1: with nature in different ways. Now, this pandemic started likely 32 00:02:21,360 --> 00:02:25,440 Speaker 1: due to zoonotic spill over at a market in Wuhan, China, 33 00:02:25,520 --> 00:02:29,200 Speaker 1: where live animals were being sold, but this can happen 34 00:02:29,280 --> 00:02:32,960 Speaker 1: in many, many different scenarios, so where people are in 35 00:02:33,080 --> 00:02:37,040 Speaker 1: contact with animals um whether that be through animal sales, 36 00:02:37,639 --> 00:02:42,680 Speaker 1: raising animals, farming those types of activities, or just clearing land, 37 00:02:42,840 --> 00:02:48,120 Speaker 1: disrupting ecosystems, driving animals from where they live into new 38 00:02:48,400 --> 00:02:52,280 Speaker 1: places and coming into contact with people. I really do 39 00:02:52,360 --> 00:02:54,800 Speaker 1: think that that is where the next pandemic is going 40 00:02:54,840 --> 00:02:57,960 Speaker 1: to come from, and that's really where all of the 41 00:02:58,000 --> 00:03:01,680 Speaker 1: pandemics that we've been experiencing are coming from. So we 42 00:03:01,760 --> 00:03:10,400 Speaker 1: are seeing viruses increasingly emerging. You use this expression zoonotic transmission, 43 00:03:10,440 --> 00:03:14,239 Speaker 1: Can you explain exactly what that is? Zoonotic transmission or 44 00:03:14,320 --> 00:03:19,160 Speaker 1: zoonotic spillover refers to a virus or any kind of 45 00:03:19,200 --> 00:03:24,080 Speaker 1: infectious disease being transmitted from an animal host into a 46 00:03:24,200 --> 00:03:28,400 Speaker 1: human host. Now that's probably how this pandemic got started. 47 00:03:28,440 --> 00:03:31,080 Speaker 1: Myself and other colleagues have been involved in research that 48 00:03:31,680 --> 00:03:35,040 Speaker 1: really that's the only explanation that fits the evidence that 49 00:03:35,120 --> 00:03:39,240 Speaker 1: we have. But zoonotic spillover really refers to that virus 50 00:03:39,280 --> 00:03:43,200 Speaker 1: which was not previously in humans, coming from its animal 51 00:03:43,240 --> 00:03:46,560 Speaker 1: host and getting into the human population and spreading from there. 52 00:03:47,080 --> 00:03:49,640 Speaker 1: You know, we think about pandemics as being these fairly 53 00:03:49,760 --> 00:03:54,160 Speaker 1: rare things. Pandemics are actually fairly common. Certainly in virus 54 00:03:54,160 --> 00:03:57,800 Speaker 1: emergence and epidemics are very very common, and it's you know, 55 00:03:57,880 --> 00:04:02,080 Speaker 1: not always novel viruses that is sort of infrequents compared 56 00:04:02,160 --> 00:04:06,120 Speaker 1: to other viruses that we know about. But for example, 57 00:04:06,320 --> 00:04:08,480 Speaker 1: in two thousand nine, we had an H one N 58 00:04:08,600 --> 00:04:13,800 Speaker 1: one influenza pandemic. We have influenza pandemics roughly every ten 59 00:04:13,880 --> 00:04:17,000 Speaker 1: to thirty years, so they have been a lot more 60 00:04:17,040 --> 00:04:21,720 Speaker 1: frequently than people realize. They can be less disruptive than 61 00:04:21,720 --> 00:04:26,760 Speaker 1: this particular pandemic has been really globally an epidemic can be. 62 00:04:26,920 --> 00:04:28,560 Speaker 1: It might not spread around the world, but it can 63 00:04:28,600 --> 00:04:33,000 Speaker 1: still be incredibly disruptive regionally, um and it actually can 64 00:04:33,040 --> 00:04:37,880 Speaker 1: cause global disruption. So stars coronavirus one when it emerged 65 00:04:38,440 --> 00:04:41,080 Speaker 1: was for the most part restricted to East Asia, and 66 00:04:41,120 --> 00:04:45,320 Speaker 1: then it did come over here to Canada, but nonetheless 67 00:04:45,440 --> 00:04:49,599 Speaker 1: caused huge disruptions and things like global travel cost a 68 00:04:49,640 --> 00:04:53,520 Speaker 1: lot of money, harms the global economy. So certainly something 69 00:04:53,560 --> 00:04:57,520 Speaker 1: doesn't even have to be technically a pandemic to cause 70 00:04:57,839 --> 00:05:02,560 Speaker 1: problems around the world and to really impact the global community. 71 00:05:02,800 --> 00:05:07,160 Speaker 1: So you've described how the next pandemic is likely to emerge. 72 00:05:07,440 --> 00:05:12,400 Speaker 1: Do you anticipate that it could be a deadlier pandemic, 73 00:05:12,480 --> 00:05:15,200 Speaker 1: a deadlier virus than the one that we've you know, 74 00:05:15,320 --> 00:05:18,760 Speaker 1: just lived through. I mean, that's certainly possible. And you know, 75 00:05:19,160 --> 00:05:21,680 Speaker 1: I think that this pandemic has shown us that a 76 00:05:21,760 --> 00:05:26,160 Speaker 1: virus doesn't actually have to have a catastrophically high case 77 00:05:26,200 --> 00:05:30,200 Speaker 1: fatality rate to still kill millions and millions of people 78 00:05:30,760 --> 00:05:36,560 Speaker 1: and to cause tremendous harm globally to people, to communities, 79 00:05:36,600 --> 00:05:41,080 Speaker 1: to economies. It doesn't have to be something that is 80 00:05:41,160 --> 00:05:43,960 Speaker 1: like ebola, where you know, you see a majority of 81 00:05:44,000 --> 00:05:47,880 Speaker 1: people who get sick die from it. And actually viruses 82 00:05:48,000 --> 00:05:51,960 Speaker 1: like that they can cause big epidemics for sure. But 83 00:05:52,200 --> 00:05:54,040 Speaker 1: you know, there's not a lot of viruses that are 84 00:05:54,120 --> 00:05:57,440 Speaker 1: transmitted by the respiratory route, which is one of the 85 00:05:57,480 --> 00:06:00,920 Speaker 1: reasons why the COVID pandemic has been so destructive and 86 00:06:00,960 --> 00:06:04,360 Speaker 1: it has impacted so many people. It's a lot easier 87 00:06:04,440 --> 00:06:07,800 Speaker 1: to control viruses that aren't being transmitted in the air 88 00:06:07,800 --> 00:06:11,880 Speaker 1: that you breathe. There's also viruses that are not coronaviruses 89 00:06:12,040 --> 00:06:17,359 Speaker 1: that don't necessarily even cause primarily respiratory disease, like NIPA virus. 90 00:06:17,760 --> 00:06:20,560 Speaker 1: It's in another family of viruses, but it can have 91 00:06:20,600 --> 00:06:23,800 Speaker 1: as much as mortality rate. Can you see more about 92 00:06:23,800 --> 00:06:29,520 Speaker 1: that one, because I think people aren't as familiar with that. Yeah, 93 00:06:29,560 --> 00:06:33,279 Speaker 1: So NIPA virus is actually transmitted from bats and from pigs. 94 00:06:33,800 --> 00:06:35,839 Speaker 1: Pigs get it from the bats and they can transmit 95 00:06:35,920 --> 00:06:39,040 Speaker 1: it to people. It also can be spread person to person, 96 00:06:39,120 --> 00:06:43,320 Speaker 1: but fortunately it's not as efficiently transmitted, and NIPA is 97 00:06:43,360 --> 00:06:46,280 Speaker 1: spread by the respiratory route, but it is primarily deadly 98 00:06:46,279 --> 00:06:51,000 Speaker 1: when it causes encephalitis, so it actually causes a brain disease. 99 00:06:51,480 --> 00:06:55,520 Speaker 1: If anybody's familiar with the movie Contagion, that fictional virus 100 00:06:55,560 --> 00:06:59,480 Speaker 1: was based on a more transmissible version of NIPA virus 101 00:07:00,000 --> 00:07:02,440 Speaker 1: out NIPA virus keeps me up at night as well 102 00:07:02,440 --> 00:07:05,599 Speaker 1: as as its cousin Hendra, because they do have such 103 00:07:05,640 --> 00:07:09,680 Speaker 1: a high mortality rate and they can potentially be transmitted 104 00:07:09,680 --> 00:07:15,040 Speaker 1: by the respiratory route. A more transmissible mers coronavirus Nipa 105 00:07:15,160 --> 00:07:19,400 Speaker 1: hendra H five N one highly pathogenic avian influenza, which 106 00:07:19,440 --> 00:07:22,680 Speaker 1: also is not very efficiently transmitted from person to person, 107 00:07:23,200 --> 00:07:27,239 Speaker 1: could be potentially catastrophic. And I'm not exaggerating by saying 108 00:07:27,240 --> 00:07:31,280 Speaker 1: that a virus like that that spread light covid around 109 00:07:31,320 --> 00:07:37,760 Speaker 1: the world could potentially have civilization ending consequences. I mean, 110 00:07:37,760 --> 00:07:40,400 Speaker 1: can you imagine what would have happened if of the 111 00:07:40,440 --> 00:07:44,000 Speaker 1: people who got stars coronavirus two died from it? If 112 00:07:44,000 --> 00:07:48,120 Speaker 1: we were having problems with at the highest two to 113 00:07:48,240 --> 00:07:52,640 Speaker 1: three percent case fatality rate, our hospitals are overwhelmed. Even 114 00:07:52,720 --> 00:07:56,040 Speaker 1: now with vaccines and the mortality rate is even lower. 115 00:07:56,560 --> 00:07:59,720 Speaker 1: We're still seeing so much transmission that we're still seeing 116 00:07:59,800 --> 00:08:02,720 Speaker 1: huge burden on our health care system. Imagine what that 117 00:08:02,720 --> 00:08:05,760 Speaker 1: would be like if we were talking about a virus 118 00:08:05,800 --> 00:08:08,960 Speaker 1: that was as transmissible but killed up to half the 119 00:08:09,000 --> 00:08:13,040 Speaker 1: people that get it. That would be absolutely catastrophic and 120 00:08:13,080 --> 00:08:20,080 Speaker 1: potentially an existential threat to our civilization. So you're not 121 00:08:20,080 --> 00:08:22,080 Speaker 1: speaking metaphorically when you say it keeps you up at night. 122 00:08:22,120 --> 00:08:24,920 Speaker 1: As a virologist, it actually keeps you up at night. Yeah, 123 00:08:25,040 --> 00:08:29,080 Speaker 1: I don't think about it sometimes if I want to sleep. Well, that, 124 00:08:29,240 --> 00:08:32,520 Speaker 1: I guess raises a question. If this is a concern 125 00:08:32,600 --> 00:08:35,959 Speaker 1: to you, as a scientist and other scientists looking at 126 00:08:36,000 --> 00:08:38,600 Speaker 1: what could come down the road, how do we prepare 127 00:08:38,640 --> 00:08:43,000 Speaker 1: for that, how do we protect against it should it arise? Well, 128 00:08:43,000 --> 00:08:46,280 Speaker 1: this is why I'm glad to be a virologist, actually, 129 00:08:46,320 --> 00:08:49,199 Speaker 1: because even though I know about all of these really 130 00:08:49,280 --> 00:08:52,880 Speaker 1: scary viruses that are out there, we also do this 131 00:08:52,960 --> 00:08:56,760 Speaker 1: work so that we can develop countermeasures, and that means 132 00:08:56,880 --> 00:08:59,800 Speaker 1: developing new anti viral drugs, developing new ways to treat 133 00:08:59,840 --> 00:09:02,839 Speaker 1: these emerging viruses. And one thing I think that is 134 00:09:02,880 --> 00:09:06,320 Speaker 1: going to be very impactful is we know what a 135 00:09:06,320 --> 00:09:09,200 Speaker 1: lot of these virus families are. So like I said 136 00:09:09,280 --> 00:09:12,240 Speaker 1: Nip ben Hender, the Hannup of viruses, and there's many, 137 00:09:12,280 --> 00:09:15,280 Speaker 1: many other viruses. There's twenty five families of viruses I 138 00:09:15,320 --> 00:09:17,920 Speaker 1: think that can cause disease and humans. You know, some 139 00:09:18,000 --> 00:09:21,280 Speaker 1: of them have known pathogens, but any of them could 140 00:09:21,320 --> 00:09:25,320 Speaker 1: potentially produce a virus that would infect people, be capable 141 00:09:25,320 --> 00:09:28,160 Speaker 1: of human to human transmission and cause a pandemic. The 142 00:09:28,200 --> 00:09:30,600 Speaker 1: problem is trying to figure out which of those viruses 143 00:09:30,640 --> 00:09:34,280 Speaker 1: are the threat. Here at my own research institution and 144 00:09:34,760 --> 00:09:38,199 Speaker 1: many other virologists around the world are working on this too. 145 00:09:38,240 --> 00:09:42,160 Speaker 1: There's a push to make vaccines that can recognize viruses 146 00:09:42,240 --> 00:09:45,520 Speaker 1: based on which family they're in, rather than working on 147 00:09:45,559 --> 00:09:49,840 Speaker 1: individual viruses. So, for example, people are developing pan influenza 148 00:09:49,920 --> 00:09:53,360 Speaker 1: vaccines that would cover any influenza that you would get 149 00:09:53,360 --> 00:09:55,679 Speaker 1: exposed to, and not just the three strains that are 150 00:09:55,679 --> 00:09:58,880 Speaker 1: in this year's flu shot, or pan coronavirus vaccine that 151 00:09:58,920 --> 00:10:02,480 Speaker 1: could protect against Stars one and stars too, as well 152 00:10:02,520 --> 00:10:06,920 Speaker 1: as maybe mirrors and any other novel coronaviruses that might emerge. 153 00:10:07,280 --> 00:10:10,160 Speaker 1: And I think that this is one really powerful way 154 00:10:10,440 --> 00:10:14,160 Speaker 1: to approach countermeasures, because if you can vaccinate people who 155 00:10:14,240 --> 00:10:17,440 Speaker 1: are at risk of being exposed to these viruses, you 156 00:10:17,480 --> 00:10:21,199 Speaker 1: have a stockpile of these vaccines ready to distribute should 157 00:10:21,280 --> 00:10:25,200 Speaker 1: an outbreak happen. You could contain that very early before 158 00:10:25,200 --> 00:10:29,240 Speaker 1: it became a pandemic, and you could potentially contain viruses 159 00:10:29,360 --> 00:10:32,360 Speaker 1: that we don't even actually know about yet. What is 160 00:10:32,400 --> 00:10:35,440 Speaker 1: the timeline do you think for something like that to 161 00:10:35,480 --> 00:10:40,280 Speaker 1: be developed, produced, and stockpiled. Certainly not overnight. Many of 162 00:10:40,320 --> 00:10:44,000 Speaker 1: these vaccines are currently still in development. There are some 163 00:10:44,000 --> 00:10:47,439 Speaker 1: clinical trials however, going on. And one of the challenges 164 00:10:47,520 --> 00:10:51,400 Speaker 1: I think that people don't always appreciate is that it's 165 00:10:51,440 --> 00:10:54,720 Speaker 1: not just developing the vaccine and then testing it. You 166 00:10:54,800 --> 00:10:57,040 Speaker 1: have to get it all the way to the point 167 00:10:57,040 --> 00:11:00,200 Speaker 1: where it has regulatory approval, and you have to be 168 00:11:00,240 --> 00:11:04,160 Speaker 1: able to fund manufacturing so that you can actually make 169 00:11:04,240 --> 00:11:07,599 Speaker 1: the vaccine in large enough numbers. So it's really important 170 00:11:07,640 --> 00:11:11,280 Speaker 1: that we not only develop these things as scientists, but 171 00:11:11,360 --> 00:11:14,480 Speaker 1: that we actually also follow through to make sure that 172 00:11:14,520 --> 00:11:17,679 Speaker 1: we're doing the right kind of testing. We're doing safety testing, 173 00:11:17,679 --> 00:11:20,760 Speaker 1: and we have processes in place that can allow us 174 00:11:20,800 --> 00:11:24,040 Speaker 1: to actually manufacture vaccines that could be used in an 175 00:11:24,120 --> 00:11:30,040 Speaker 1: emergency immediately. And when you make the case for this 176 00:11:30,160 --> 00:11:34,480 Speaker 1: with policy makers, politicians are in charge of spending the 177 00:11:34,520 --> 00:11:37,280 Speaker 1: money on this, do you find that there's urgency to 178 00:11:37,360 --> 00:11:41,400 Speaker 1: do it in the absence of an emergency. So this 179 00:11:41,520 --> 00:11:44,920 Speaker 1: is one of the great challenges to doing any type 180 00:11:44,920 --> 00:11:49,559 Speaker 1: of pandemic prevention or preparedness work. If you're actually successful 181 00:11:49,600 --> 00:11:52,880 Speaker 1: at preventing a pandemic, it looks like you're not doing 182 00:11:52,920 --> 00:11:57,440 Speaker 1: anything because nothing happens, that pandemic doesn't happen, and it's 183 00:11:57,520 --> 00:12:00,880 Speaker 1: very difficult to maintain, you know, from one Congress to 184 00:12:00,920 --> 00:12:04,640 Speaker 1: the next, from one president to the next, it's very 185 00:12:04,640 --> 00:12:09,000 Speaker 1: difficult to justify spending lots and lots of taxpayer money 186 00:12:09,440 --> 00:12:12,960 Speaker 1: on something that seems like it's not doing anything. And 187 00:12:13,040 --> 00:12:15,720 Speaker 1: things are probably worse than they've ever been right now 188 00:12:15,800 --> 00:12:20,880 Speaker 1: because it has been so politicized. Public health itself, pandemic prevention, 189 00:12:21,160 --> 00:12:25,680 Speaker 1: and virology research have all been sort of uniquely politicized 190 00:12:25,720 --> 00:12:29,360 Speaker 1: and in many cases demonized, and that also makes it 191 00:12:29,480 --> 00:12:32,800 Speaker 1: very difficult to make the case that we need continued funding. 192 00:12:32,840 --> 00:12:35,920 Speaker 1: We need continued support for this type of work, and 193 00:12:35,960 --> 00:12:38,400 Speaker 1: we actually need a lot more of it than less. 194 00:12:38,640 --> 00:12:41,760 Speaker 1: When you know, people are kind of over the pandemic, 195 00:12:41,960 --> 00:12:46,199 Speaker 1: and people aren't dying in the same numbers that they 196 00:12:46,240 --> 00:12:50,160 Speaker 1: were at the beginning of or during some of the 197 00:12:50,200 --> 00:12:53,240 Speaker 1: subsequent ways before we had vaccination and there was a 198 00:12:53,280 --> 00:12:56,720 Speaker 1: lot more population immunity, it's really hard to make the 199 00:12:56,760 --> 00:12:59,880 Speaker 1: case that we should continue to be investing in this. 200 00:13:00,400 --> 00:13:02,360 Speaker 1: But what people, I think really need to know, what 201 00:13:02,480 --> 00:13:06,439 Speaker 1: politicians need to know, is that this is an investment 202 00:13:06,520 --> 00:13:10,440 Speaker 1: in our future, not only the future of our country 203 00:13:10,520 --> 00:13:13,559 Speaker 1: and our public health, but also the future of our economy. 204 00:13:14,080 --> 00:13:16,719 Speaker 1: And because we do live in a global world, this 205 00:13:16,840 --> 00:13:20,280 Speaker 1: is really an investment in the future of the entire 206 00:13:20,600 --> 00:13:23,760 Speaker 1: global population of the human race, and I think that 207 00:13:23,840 --> 00:13:26,160 Speaker 1: people really need to be reminded of that as well 208 00:13:26,200 --> 00:13:29,839 Speaker 1: as educated on what the benefits are of doing this 209 00:13:29,920 --> 00:13:33,559 Speaker 1: type of work. Dr Angela Erasmus, and thanks so much 210 00:13:33,559 --> 00:13:35,880 Speaker 1: for talking to me today. Thanks for having me, Wes 211 00:13:36,080 --> 00:13:40,800 Speaker 1: anytime when we come back. What the US government has 212 00:13:40,920 --> 00:13:53,080 Speaker 1: learned from the COVID nineteen pandemic. I'm here with Bloomberg's 213 00:13:53,120 --> 00:13:57,679 Speaker 1: bio Security reporter Riley Griffin and White House reporter Josh 214 00:13:57,679 --> 00:14:00,800 Speaker 1: wind Grove. Riley and Josh, thanks much for being here, 215 00:14:00,960 --> 00:14:04,040 Speaker 1: Thanks us, thanks for having us. We just heard from 216 00:14:04,160 --> 00:14:08,720 Speaker 1: virologist Angie Rasmussen who talks about the increasing threat of 217 00:14:08,840 --> 00:14:13,319 Speaker 1: virus transmission from animals to humans. Riley, when you talk 218 00:14:13,400 --> 00:14:17,360 Speaker 1: to scientists and policymakers, what do they say worries them 219 00:14:17,400 --> 00:14:20,640 Speaker 1: most about how the next global pandemic might go? So 220 00:14:20,680 --> 00:14:22,640 Speaker 1: I actually want to take you back to twenty nineteen 221 00:14:23,200 --> 00:14:27,240 Speaker 1: when BARDA, which sits within the Assistant Secretary for Preparedness 222 00:14:27,360 --> 00:14:30,720 Speaker 1: and Response which is now the Administration for Strategic Preparedness 223 00:14:30,760 --> 00:14:35,360 Speaker 1: and Response, presented on biological threats. They called it the 224 00:14:35,440 --> 00:14:38,680 Speaker 1: Wheel of Misfortune, and it was like the Wheel of fortune, 225 00:14:38,680 --> 00:14:41,640 Speaker 1: but instead of numbers, you had biological threats. And on 226 00:14:41,800 --> 00:14:47,120 Speaker 1: it were things like anthrax, smallpox, plague, bautual is um, ebola, 227 00:14:47,200 --> 00:14:50,560 Speaker 1: sudan ebolas, i hear Marburg virus, some things that you 228 00:14:50,600 --> 00:14:54,040 Speaker 1: may have heard come up. The World Health Organization also 229 00:14:54,160 --> 00:14:58,200 Speaker 1: releases its own list of priority pathogens, and you know 230 00:14:58,280 --> 00:15:01,200 Speaker 1: on it are similar things Marbur Glass of fever, mers 231 00:15:01,200 --> 00:15:05,440 Speaker 1: and stars, those relatives of COVID nineteen zica. So I 232 00:15:05,480 --> 00:15:10,400 Speaker 1: can name specific pathogens for us, but I think partly 233 00:15:10,440 --> 00:15:14,520 Speaker 1: what scares me is the unknown pathogens, those that we 234 00:15:14,560 --> 00:15:17,360 Speaker 1: don't have names for, or might be new iterations of 235 00:15:17,440 --> 00:15:20,160 Speaker 1: viruses we may have seen before. And the way to 236 00:15:20,280 --> 00:15:22,840 Speaker 1: deal with that is something we like to call in 237 00:15:22,880 --> 00:15:27,120 Speaker 1: this world biosurveillance. Think of it as like a weather map. 238 00:15:27,240 --> 00:15:31,040 Speaker 1: We're forecasting for infectious disease. And what we need to 239 00:15:31,120 --> 00:15:35,200 Speaker 1: get to is really taking a pathogen agnostic approach to 240 00:15:35,240 --> 00:15:41,120 Speaker 1: pandemic preparedness. What does that mean? That means not preparing 241 00:15:41,160 --> 00:15:44,400 Speaker 1: for one individual threat. One of the big shortfalls of 242 00:15:44,440 --> 00:15:47,440 Speaker 1: our preparedness for COVID nineteen is that all these years 243 00:15:47,880 --> 00:15:52,440 Speaker 1: we've been preparing for pandemic influenza. Think the eighteen flu 244 00:15:52,680 --> 00:15:56,000 Speaker 1: also sometimes called the Spanish flu that killed up to 245 00:15:56,640 --> 00:15:59,840 Speaker 1: a hundred million people. We've been preparing for that for 246 00:16:00,120 --> 00:16:04,280 Speaker 1: years because that was really the last big epic pandemic. 247 00:16:04,880 --> 00:16:07,520 Speaker 1: All of our presidents, going back to Bill Clinton, he 248 00:16:07,600 --> 00:16:11,160 Speaker 1: actually in the late ninety nineties he read a fictional 249 00:16:11,240 --> 00:16:15,040 Speaker 1: book about a bio terrorism attack called the Cobra Event, 250 00:16:15,160 --> 00:16:17,760 Speaker 1: and it spurred him to create the Strategic National Stockpile, 251 00:16:17,840 --> 00:16:22,000 Speaker 1: which stockpiles all of our medicines and ppe and so forth, 252 00:16:22,200 --> 00:16:24,640 Speaker 1: and so it's a protective gear that we all started 253 00:16:24,680 --> 00:16:28,880 Speaker 1: wearing dandemic and every president since then has had their 254 00:16:28,880 --> 00:16:32,240 Speaker 1: own kind of plan. But many of these plans haven't 255 00:16:32,240 --> 00:16:35,040 Speaker 1: been implemented, and a lot of them have been geared 256 00:16:35,080 --> 00:16:37,160 Speaker 1: at pandemic influenza. So I think we need to think 257 00:16:37,200 --> 00:16:39,840 Speaker 1: a little bit broader because these are all aimed at 258 00:16:40,000 --> 00:16:42,800 Speaker 1: fighting the last pandemic instead of looking forward to the 259 00:16:42,840 --> 00:16:46,080 Speaker 1: one we don't know about exactly. And the Biden administration 260 00:16:46,160 --> 00:16:48,680 Speaker 1: they released their own plan. First it was the American 261 00:16:48,720 --> 00:16:52,560 Speaker 1: Pandemic Preparedness Plan, and now it's transformed into the National 262 00:16:52,560 --> 00:16:55,520 Speaker 1: bio Defense Strategy. They lay out their own strategy for 263 00:16:55,560 --> 00:16:59,800 Speaker 1: combating naturally occurring, accidental, and man made biological threats. So 264 00:16:59,840 --> 00:17:04,919 Speaker 1: it's quite comprehensive, but what we're still seeing missing is 265 00:17:05,200 --> 00:17:09,560 Speaker 1: real implementation and resources put to this. They've requested eighty 266 00:17:09,640 --> 00:17:13,760 Speaker 1: eight billion in mandatory funding, but they're not necessarily likely 267 00:17:13,800 --> 00:17:15,440 Speaker 1: to get it, and so what do you do with 268 00:17:15,800 --> 00:17:20,560 Speaker 1: all these documents but not a lot of action. What 269 00:17:20,720 --> 00:17:23,680 Speaker 1: was made so clear early in the pandemic is that 270 00:17:23,720 --> 00:17:27,600 Speaker 1: we did not really have a system for this or 271 00:17:27,640 --> 00:17:29,560 Speaker 1: a plan for this, and I think those are two 272 00:17:30,160 --> 00:17:33,280 Speaker 1: separate things. And the plan question is now hanging over 273 00:17:33,400 --> 00:17:36,680 Speaker 1: is what can we do to prepare for the next one. 274 00:17:36,800 --> 00:17:39,639 Speaker 1: But a lot of the things that really hobbled the 275 00:17:39,720 --> 00:17:44,000 Speaker 1: response in the US, in particular, which namely a patchwork 276 00:17:44,040 --> 00:17:48,000 Speaker 1: of fifty different systems, one for each state that isn't 277 00:17:48,000 --> 00:17:51,919 Speaker 1: going away, and that will continue to hobble whatever we 278 00:17:52,119 --> 00:17:54,800 Speaker 1: decide as a country to do about COVID, which right 279 00:17:54,840 --> 00:17:59,080 Speaker 1: now is not a lot, and whatever the country decides 280 00:17:59,119 --> 00:18:04,000 Speaker 1: to do for the next thing. Riley, you mentioned man 281 00:18:04,080 --> 00:18:08,159 Speaker 1: made biological threats. What exactly are those and what is 282 00:18:08,200 --> 00:18:12,800 Speaker 1: the concern there? The concern there is that viruses, bacteria, 283 00:18:13,000 --> 00:18:17,679 Speaker 1: other pathogens could be weaponized and used, either inappropriately or 284 00:18:17,720 --> 00:18:23,120 Speaker 1: for nefarious intent, or that legitimate research done in academic 285 00:18:23,240 --> 00:18:27,360 Speaker 1: and private sector laboratories and in government facilities might have 286 00:18:27,880 --> 00:18:31,480 Speaker 1: accidental consequences. And so I actually just got back from 287 00:18:31,480 --> 00:18:35,359 Speaker 1: Geneva from going to the Biological Weapons Convention, a review 288 00:18:35,400 --> 00:18:39,439 Speaker 1: conference for this international treaty that bans a class of 289 00:18:39,480 --> 00:18:43,320 Speaker 1: weapons of mass destruction. This is an ever present threat 290 00:18:43,359 --> 00:18:47,159 Speaker 1: and an increasing threat as biology and our understanding of 291 00:18:47,160 --> 00:18:50,359 Speaker 1: it advances. And as a lot of these tools become 292 00:18:50,440 --> 00:18:54,520 Speaker 1: cheaper and more accessible, and when scientists look at their 293 00:18:54,520 --> 00:18:57,560 Speaker 1: best guesses about what to prepare for, you know, like 294 00:18:57,600 --> 00:18:59,879 Speaker 1: every year there's the flu vaccine and they take the 295 00:19:00,040 --> 00:19:02,720 Speaker 1: best guess of which strains might be the ones that 296 00:19:02,800 --> 00:19:04,439 Speaker 1: hit us all, and we hope that we hit a 297 00:19:04,480 --> 00:19:06,440 Speaker 1: year where they guessed right. When they don't, we got 298 00:19:06,440 --> 00:19:09,480 Speaker 1: a bad flu year. When they're preparing for the future, 299 00:19:09,600 --> 00:19:11,600 Speaker 1: how do you guess you just named like fifteen different 300 00:19:11,600 --> 00:19:13,280 Speaker 1: things that could kill us all, how do you know 301 00:19:13,320 --> 00:19:15,280 Speaker 1: which is the one that we should be preparing for 302 00:19:15,440 --> 00:19:17,360 Speaker 1: most in which one would be a little bit further 303 00:19:17,400 --> 00:19:22,840 Speaker 1: down the list. Science, sometimes, I think is an art. 304 00:19:23,160 --> 00:19:25,920 Speaker 1: You know, scientific stakeholders convene in the u N and 305 00:19:25,960 --> 00:19:29,320 Speaker 1: they sometimes have to resort to their best guests. If 306 00:19:29,359 --> 00:19:33,760 Speaker 1: we had had this conversation in the middle of nineteen 307 00:19:34,320 --> 00:19:38,359 Speaker 1: and we'd asked ourselves then what we needed or what 308 00:19:38,600 --> 00:19:41,240 Speaker 1: was around the corner, I do think we now have 309 00:19:42,040 --> 00:19:45,760 Speaker 1: clarity and more information and pathways than we did before. 310 00:19:45,800 --> 00:19:50,840 Speaker 1: That is a silver lining of the few years that 311 00:19:50,920 --> 00:19:53,480 Speaker 1: we've been through. One is that we didn't really know 312 00:19:54,560 --> 00:19:56,840 Speaker 1: how the early warning system would work right and with 313 00:19:57,000 --> 00:19:59,879 Speaker 1: China really didn't work, and that will be the focus 314 00:20:00,000 --> 00:20:02,720 Speaker 1: of congressionally hearings with Republicans holding the House in the 315 00:20:02,760 --> 00:20:06,320 Speaker 1: next couple of years. But like it did work with Omicron, 316 00:20:06,840 --> 00:20:10,040 Speaker 1: and so now there are systems in place where public 317 00:20:10,080 --> 00:20:12,840 Speaker 1: health agencies can sound the alarm and it's taken seriously. 318 00:20:14,560 --> 00:20:16,920 Speaker 1: When you say the early warning system, you mean they 319 00:20:16,920 --> 00:20:20,600 Speaker 1: saw it coming and were able to act in timely fashion. Right, 320 00:20:20,680 --> 00:20:22,800 Speaker 1: Joe Biden started talking about OMICRON. I think it was 321 00:20:22,840 --> 00:20:25,959 Speaker 1: like a Thanksgiving vacation in Nantucket a year ago, you know, 322 00:20:26,160 --> 00:20:30,320 Speaker 1: like because South Africa and countries in Southern Africa had 323 00:20:30,320 --> 00:20:32,360 Speaker 1: picked it up, and the sound of the alarm. Now 324 00:20:32,560 --> 00:20:35,879 Speaker 1: that kind of stuff is critical and you know, is 325 00:20:35,880 --> 00:20:39,040 Speaker 1: a carry over the COVID experience. Another thing, for example, 326 00:20:39,119 --> 00:20:41,720 Speaker 1: is like Kovacs and how they got vaccines that that 327 00:20:41,840 --> 00:20:44,440 Speaker 1: was totally unprecedented and if we, god forbid ever have 328 00:20:44,520 --> 00:20:46,920 Speaker 1: to go through that again, there is now a system 329 00:20:46,960 --> 00:20:51,200 Speaker 1: because it is actually really annoying and legally thorny to 330 00:20:51,640 --> 00:20:56,479 Speaker 1: shove vaccines out across international borders with dueling regulatory agencies, 331 00:20:56,480 --> 00:20:58,720 Speaker 1: and what happened. So there are silver linings to having 332 00:20:58,760 --> 00:21:01,159 Speaker 1: gone through this questions that we would have had in 333 00:21:01,160 --> 00:21:04,240 Speaker 1: this exact conversation. Pre COVID do have answers now, but 334 00:21:04,400 --> 00:21:07,639 Speaker 1: so many others do not have answers now. And to 335 00:21:07,920 --> 00:21:11,640 Speaker 1: Riley's point, it's like, have public health experts sort of 336 00:21:12,280 --> 00:21:16,120 Speaker 1: shot their shot? Like have they sapped or worn thin 337 00:21:16,960 --> 00:21:20,719 Speaker 1: the patients of the public, many of whom couldn't tell you, 338 00:21:20,840 --> 00:21:23,359 Speaker 1: for instance, what the CDC recommendations are right now because 339 00:21:23,359 --> 00:21:26,200 Speaker 1: it's changed so much and they tuned out. So there 340 00:21:26,240 --> 00:21:28,560 Speaker 1: is a silver lining on the one hand, But on 341 00:21:28,600 --> 00:21:31,080 Speaker 1: the other hand, I wonder whether even though we have 342 00:21:31,200 --> 00:21:33,720 Speaker 1: a playbook, that might not help as much if people 343 00:21:33,760 --> 00:21:36,879 Speaker 1: are willing to listen to it. Riley and Josh tell 344 00:21:36,960 --> 00:21:40,560 Speaker 1: us about the planning happening for the next pandemic when 345 00:21:40,600 --> 00:21:54,240 Speaker 1: we return. Josh, you said that if we had the 346 00:21:54,320 --> 00:21:58,600 Speaker 1: benefit of foresight in when this was coming down in December, 347 00:21:59,119 --> 00:22:01,720 Speaker 1: maybe things would have been different. Riley was talking about 348 00:22:01,840 --> 00:22:06,119 Speaker 1: how every president had prepared or tried to prepare for this, 349 00:22:06,200 --> 00:22:11,080 Speaker 1: so those preparations actually didn't work. How then, does the 350 00:22:11,440 --> 00:22:15,320 Speaker 1: administration do all of the agencies involved in this sort 351 00:22:15,320 --> 00:22:19,919 Speaker 1: of work figure out how to prevent what Riley is describing. Well, 352 00:22:19,960 --> 00:22:21,440 Speaker 1: I think there's a lot of them who are doing 353 00:22:21,440 --> 00:22:24,600 Speaker 1: that work right now. The question I have is whether 354 00:22:24,640 --> 00:22:27,640 Speaker 1: they'll have the money to do anything about it right 355 00:22:27,720 --> 00:22:29,840 Speaker 1: like early on, just to go back west to those 356 00:22:29,880 --> 00:22:32,840 Speaker 1: early days of COVID. You know, Trump really did take 357 00:22:32,880 --> 00:22:35,000 Speaker 1: it seriously for a while. There was not enough ppe, 358 00:22:35,080 --> 00:22:37,680 Speaker 1: there was not enough supplies, there are non enough ventilators. 359 00:22:37,680 --> 00:22:40,000 Speaker 1: There were hospital ships outside in New York, remember this, 360 00:22:40,600 --> 00:22:42,560 Speaker 1: And like that was all under Trump. I think we 361 00:22:42,640 --> 00:22:44,600 Speaker 1: sort of like forget you know that there was a 362 00:22:44,680 --> 00:22:49,280 Speaker 1: dilection of this, uh, and then he stopped really caring 363 00:22:49,480 --> 00:22:53,239 Speaker 1: to that extent for rajuries. And so now what we 364 00:22:53,320 --> 00:22:55,919 Speaker 1: have is this question of like what's left over and 365 00:22:55,960 --> 00:22:58,639 Speaker 1: where to go from it. As we stand here, the 366 00:22:58,720 --> 00:23:02,560 Speaker 1: administration is begging for money from Congress that they are 367 00:23:02,600 --> 00:23:06,080 Speaker 1: not getting for COVID response, and that is for stuff 368 00:23:06,200 --> 00:23:09,920 Speaker 1: to deal with developing vaccines. You mentioned the flu shot 369 00:23:09,960 --> 00:23:11,720 Speaker 1: that we get yearly. That's what they want to do 370 00:23:11,760 --> 00:23:15,000 Speaker 1: with COVID. The first version of that has had really 371 00:23:15,040 --> 00:23:18,119 Speaker 1: abysmally low uptake, and there's not really money in the 372 00:23:18,119 --> 00:23:21,680 Speaker 1: system right now to develop next year's annual COVID type 373 00:23:21,680 --> 00:23:25,560 Speaker 1: flu shot because they just haven't allocated anything. They also 374 00:23:25,560 --> 00:23:27,919 Speaker 1: have no money to buy more vaccines or you know, 375 00:23:27,960 --> 00:23:30,160 Speaker 1: buy more packs of it, which we give to more 376 00:23:30,160 --> 00:23:32,760 Speaker 1: severe cases when they get it to minimize your symptoms. 377 00:23:32,840 --> 00:23:35,440 Speaker 1: And so the current question of what are we gonna 378 00:23:35,440 --> 00:23:37,600 Speaker 1: do about the next pandemic I'm kind of worried about 379 00:23:37,600 --> 00:23:39,880 Speaker 1: we're gonna do about the current pandemic we're still in. 380 00:23:40,400 --> 00:23:42,760 Speaker 1: There is just simply no appetite in Congress as of 381 00:23:42,840 --> 00:23:46,320 Speaker 1: now to fund anything for it, and that at some 382 00:23:46,400 --> 00:23:48,879 Speaker 1: point you have to think is going to start being 383 00:23:48,920 --> 00:23:52,040 Speaker 1: a problem. Riley. It's kind of an important point. If 384 00:23:52,080 --> 00:23:54,160 Speaker 1: we can't get enough money to pay for a pandemic 385 00:23:54,160 --> 00:23:56,920 Speaker 1: that's still happening right now, where is the resolve to 386 00:23:57,840 --> 00:24:00,920 Speaker 1: pay for something that we can't see, you don't know 387 00:24:01,200 --> 00:24:03,520 Speaker 1: which it is, and don't know when it's going to come. 388 00:24:06,200 --> 00:24:08,280 Speaker 1: I'm going to give an answer you might not expect. 389 00:24:09,040 --> 00:24:11,719 Speaker 1: I think it's coming out of the Defense Department. I 390 00:24:11,760 --> 00:24:16,280 Speaker 1: think you're seeing an increase in interest from other stakeholders 391 00:24:16,400 --> 00:24:18,680 Speaker 1: beyond the obvious ones at the Department of Health and 392 00:24:18,760 --> 00:24:22,040 Speaker 1: Human Services take up this mandate. I think the intelligence 393 00:24:22,040 --> 00:24:25,399 Speaker 1: community has an increased focus and appetite, partially at the 394 00:24:25,440 --> 00:24:28,080 Speaker 1: direction of the Biden administration, and I think the Defense 395 00:24:28,119 --> 00:24:29,840 Speaker 1: Department does as well. And what does that look like? 396 00:24:29,840 --> 00:24:32,800 Speaker 1: How does when the Pentagon takes over the preservation of 397 00:24:32,800 --> 00:24:34,960 Speaker 1: the human race, what does that look like? Well, I'll 398 00:24:34,960 --> 00:24:37,919 Speaker 1: give you one example. Recently, my colleague Madison Muller and 399 00:24:37,960 --> 00:24:40,600 Speaker 1: I broke a story where the Department of Defense had 400 00:24:40,600 --> 00:24:44,600 Speaker 1: cut a deal with Maderna for messenger RNA vaccines for 401 00:24:44,840 --> 00:24:48,200 Speaker 1: EBOL viruses and other threats. This wasn't a function of 402 00:24:48,240 --> 00:24:51,679 Speaker 1: congressional funding for pandemic preparedness. This was d O D 403 00:24:51,960 --> 00:24:55,879 Speaker 1: saying this is something that affects troops, and we have 404 00:24:55,960 --> 00:24:58,320 Speaker 1: the money to deploy, and we don't need to go 405 00:24:58,440 --> 00:25:02,240 Speaker 1: through all those layers of bureau oocricy and approval to 406 00:25:02,320 --> 00:25:05,040 Speaker 1: get this done. They just did it. I think there's 407 00:25:05,080 --> 00:25:07,400 Speaker 1: a lot more work like that happening. If you look 408 00:25:07,400 --> 00:25:12,000 Speaker 1: to the intelligence community, they're developing tools for bio attribution, 409 00:25:12,280 --> 00:25:15,280 Speaker 1: that is actually to look at a pathogen, to look 410 00:25:15,280 --> 00:25:17,879 Speaker 1: at its genome, to sequence it, to look into the 411 00:25:17,920 --> 00:25:22,800 Speaker 1: DNA and say can we see human signatures? Meaning can 412 00:25:22,840 --> 00:25:25,000 Speaker 1: we look at the DNA of a virus and determine 413 00:25:25,040 --> 00:25:29,360 Speaker 1: whether or not it was naturally occurring or that this 414 00:25:29,640 --> 00:25:33,119 Speaker 1: was a function of a human touch. These are quiet 415 00:25:33,119 --> 00:25:35,600 Speaker 1: things that are happening outside of the Department of Health 416 00:25:35,600 --> 00:25:39,560 Speaker 1: and Human Service enterprise that are in the name of 417 00:25:40,320 --> 00:25:44,879 Speaker 1: bio defense biosecurity. And so I am watching this closely 418 00:25:44,920 --> 00:25:47,000 Speaker 1: because I think a lot of that work. If it's 419 00:25:47,000 --> 00:25:48,800 Speaker 1: going to get done, it's going to shift in that direction. 420 00:25:50,640 --> 00:25:52,960 Speaker 1: Josh is a political matter, I suppose as a policy 421 00:25:53,000 --> 00:25:55,680 Speaker 1: matter too. I don't know. It feels kind of weird 422 00:25:55,720 --> 00:25:58,800 Speaker 1: to let the Department Defense and the Intelligence Committee lead 423 00:25:58,840 --> 00:26:00,760 Speaker 1: the way in this sort of thing. Is that how 424 00:26:00,960 --> 00:26:04,120 Speaker 1: say the Biden administration wants this to play out, how 425 00:26:04,160 --> 00:26:06,840 Speaker 1: any White House wants it to play out. Getting funding 426 00:26:06,880 --> 00:26:08,720 Speaker 1: for d D is often a lot easier than getting 427 00:26:08,720 --> 00:26:10,920 Speaker 1: funding for HHS, So d D can be the fig 428 00:26:11,000 --> 00:26:14,720 Speaker 1: leaf for funding for this. The Biden administration will, I think, 429 00:26:14,800 --> 00:26:17,159 Speaker 1: probably be okay with that. They could sleep at night 430 00:26:17,160 --> 00:26:19,800 Speaker 1: and that's the case. But d D has been a 431 00:26:19,800 --> 00:26:21,960 Speaker 1: battleground on this already. I mean, we just saw a 432 00:26:21,960 --> 00:26:25,440 Speaker 1: big throwdown fight over the NDAA, which is a defense 433 00:26:25,520 --> 00:26:28,240 Speaker 1: funding bill, and one of the concessions made in that 434 00:26:28,359 --> 00:26:31,680 Speaker 1: was eliminating the vaccine requirement for service members. I mean, 435 00:26:31,720 --> 00:26:36,000 Speaker 1: this has been a partisan fight until now. And you know, 436 00:26:36,320 --> 00:26:38,280 Speaker 1: what is the goal here? Right? I mean, this is 437 00:26:38,280 --> 00:26:41,800 Speaker 1: a question that gets different answers these days around COVID, 438 00:26:41,960 --> 00:26:44,119 Speaker 1: Like a lot of public health experts would like the 439 00:26:44,200 --> 00:26:47,200 Speaker 1: numbers to be a lot lower than they are now. Um. 440 00:26:47,240 --> 00:26:50,240 Speaker 1: I mean, I'm sitting here, you know, a positive COVID case, 441 00:26:50,320 --> 00:26:54,800 Speaker 1: working from home, talking to you guys with relatively mild symptoms, 442 00:26:55,440 --> 00:26:59,200 Speaker 1: dedication to the cause. Josh, we wish you were here. Josh, 443 00:26:59,320 --> 00:27:02,720 Speaker 1: I'm feeling thank you. I've dodged it for you know, 444 00:27:02,760 --> 00:27:04,919 Speaker 1: however many years and time they got me. But like 445 00:27:05,160 --> 00:27:07,680 Speaker 1: cases like mine are probably in the eyes of like 446 00:27:08,160 --> 00:27:11,200 Speaker 1: the Biden people kind of what they want if you're 447 00:27:11,200 --> 00:27:13,959 Speaker 1: going to have a COVID case having and someone who 448 00:27:14,040 --> 00:27:17,240 Speaker 1: has mild symptoms because they got vaccinated and they stay 449 00:27:17,240 --> 00:27:20,439 Speaker 1: away from others and that's it. And so when it 450 00:27:20,480 --> 00:27:23,960 Speaker 1: comes to the question of other pandemics and ending this one, 451 00:27:24,280 --> 00:27:27,040 Speaker 1: there is disagreement on like what the victory line is, 452 00:27:27,280 --> 00:27:31,760 Speaker 1: where the goal line is. You know, it's hard to 453 00:27:31,840 --> 00:27:35,200 Speaker 1: be optimistic when you're thinking about doomsday threats like this. 454 00:27:35,320 --> 00:27:38,159 Speaker 1: And Josh and I have been in the trenches together 455 00:27:38,240 --> 00:27:42,480 Speaker 1: covering COVID since the very beginning. Politics are at play, 456 00:27:42,520 --> 00:27:45,280 Speaker 1: They've always been at play, But there are public health 457 00:27:45,280 --> 00:27:48,920 Speaker 1: officials that have made this their life work and they 458 00:27:49,119 --> 00:27:51,840 Speaker 1: have been at the CDC for decades. They were thinking 459 00:27:51,880 --> 00:27:56,439 Speaker 1: about COVID well before COVID happened. Coronaviruses have been on 460 00:27:56,480 --> 00:28:02,920 Speaker 1: the radar. We've seen coronaviruses before. The CDC is undergoing 461 00:28:02,920 --> 00:28:05,639 Speaker 1: a reorganization right now and overhaul, if you will, to 462 00:28:06,520 --> 00:28:10,840 Speaker 1: become more of a responsive agency, and there will be 463 00:28:10,920 --> 00:28:16,000 Speaker 1: workforce changes and structural changes that will potentially outlive the 464 00:28:16,119 --> 00:28:20,520 Speaker 1: tenure of Director Wilenski, who currently runs the CDC. And 465 00:28:20,560 --> 00:28:24,360 Speaker 1: you interview Dr Wilenski back in November of last year, 466 00:28:24,920 --> 00:28:26,879 Speaker 1: Let's hear what she had to say about some of 467 00:28:26,920 --> 00:28:29,920 Speaker 1: those changes. So one of the things that we learned 468 00:28:29,960 --> 00:28:32,200 Speaker 1: is that we need to be more nimble about how 469 00:28:32,240 --> 00:28:35,960 Speaker 1: we develop and deliver our science. We have to communicate 470 00:28:36,160 --> 00:28:41,320 Speaker 1: that not to necessarily only public health officials and to scientists, 471 00:28:41,360 --> 00:28:44,080 Speaker 1: but we need to communicate it to the American public. 472 00:28:44,560 --> 00:28:48,560 Speaker 1: We need easy to understand, easy to implement policies that 473 00:28:48,600 --> 00:28:52,640 Speaker 1: are dedicated and science devoted and and based on science, 474 00:28:52,920 --> 00:28:58,040 Speaker 1: but that we can really convey in a simple policy message. Riley, 475 00:28:58,080 --> 00:29:02,080 Speaker 1: you said there are structural changes happening at the CDC 476 00:29:02,280 --> 00:29:06,600 Speaker 1: to minimize the threat of the next pandemic. What are they. 477 00:29:06,640 --> 00:29:09,280 Speaker 1: I'll give you a really simple example. I don't know 478 00:29:09,320 --> 00:29:11,040 Speaker 1: if a lot of people know this, but over at 479 00:29:11,040 --> 00:29:14,400 Speaker 1: the CDC, the folks working on COVID had to volunteer 480 00:29:14,440 --> 00:29:16,720 Speaker 1: to do so. They actually raised their hand right they 481 00:29:16,720 --> 00:29:21,800 Speaker 1: were working potentially on HIV or birth defects. People had 482 00:29:21,840 --> 00:29:24,080 Speaker 1: to raise their hand to go over and work on COVID, 483 00:29:24,120 --> 00:29:25,800 Speaker 1: and that cost a lot of issues in terms of 484 00:29:25,840 --> 00:29:28,560 Speaker 1: the speed of the response. If you needed three epidemiologists 485 00:29:28,600 --> 00:29:30,680 Speaker 1: work on something, you had to scan the agency and 486 00:29:30,720 --> 00:29:33,800 Speaker 1: find them. One change that they're making is that you're 487 00:29:33,800 --> 00:29:37,120 Speaker 1: going to deploy CDC staff like troops. They're going to 488 00:29:37,200 --> 00:29:40,480 Speaker 1: give their availability months in advance, and if a crisis emerges, 489 00:29:41,080 --> 00:29:45,080 Speaker 1: the CDC will readily deploy them. So that's a readiness change. 490 00:29:45,360 --> 00:29:47,240 Speaker 1: There are other changes we can outline, but the point 491 00:29:47,280 --> 00:29:50,280 Speaker 1: is there are these cultural and operational things that are 492 00:29:50,320 --> 00:29:53,600 Speaker 1: just gonna be flipped if you will, to make it 493 00:29:53,640 --> 00:29:57,400 Speaker 1: more of a responsive agency rather than the academic, bureaucratic, 494 00:29:58,200 --> 00:30:02,560 Speaker 1: scientific kind of guidance entity that it's been for so long, Josh. 495 00:30:02,760 --> 00:30:04,480 Speaker 1: One of the things we saw in the pandemic was 496 00:30:04,520 --> 00:30:06,200 Speaker 1: how in the U S there's fifty different states, so 497 00:30:06,280 --> 00:30:09,800 Speaker 1: fifty different responses, some better than others. Another thing we 498 00:30:09,840 --> 00:30:14,120 Speaker 1: saw was every country had its own response. Have governments 499 00:30:14,400 --> 00:30:20,080 Speaker 1: learned from COVID that there's value to coordinating and cooperating 500 00:30:20,120 --> 00:30:22,560 Speaker 1: from the beginning, or are we going to see something 501 00:30:22,600 --> 00:30:26,040 Speaker 1: similar the next time sort of hell breaks loose. The 502 00:30:26,120 --> 00:30:31,400 Speaker 1: optimistic answer is yes, some things worked better. KOVACS exists. 503 00:30:31,960 --> 00:30:34,560 Speaker 1: KOVACS is the system that we set up to help 504 00:30:34,640 --> 00:30:38,600 Speaker 1: get vaccines to low and lower middle income countries when 505 00:30:38,760 --> 00:30:42,120 Speaker 1: rich countries jammed to the front of the line. Like 506 00:30:42,160 --> 00:30:45,280 Speaker 1: if you think Ticketmaster is bad, like the COVID vaccine 507 00:30:45,320 --> 00:30:48,280 Speaker 1: process buying was insane and rich people got it and 508 00:30:48,320 --> 00:30:51,040 Speaker 1: poor countries did not. And so we now have a 509 00:30:51,080 --> 00:30:54,200 Speaker 1: system to at least get some vaccines to poor countries, 510 00:30:54,320 --> 00:30:59,840 Speaker 1: but countries fundamentally responded in kind of everyone for themselves way. 511 00:31:01,280 --> 00:31:04,040 Speaker 1: I don't know, No, I don't think it's a Kumbaya moment. 512 00:31:04,560 --> 00:31:07,760 Speaker 1: I think one of the real benefits of God willing 513 00:31:08,000 --> 00:31:11,280 Speaker 1: not having a new pandemic to new something, a new pathogen, 514 00:31:11,320 --> 00:31:13,800 Speaker 1: a new plague over the next couple of years will 515 00:31:13,840 --> 00:31:16,600 Speaker 1: be to take the temperature down so that if and 516 00:31:16,640 --> 00:31:19,760 Speaker 1: when we do face another one and we do hear 517 00:31:19,800 --> 00:31:23,160 Speaker 1: these warning systems from the people whose job it is 518 00:31:23,560 --> 00:31:25,960 Speaker 1: to tell us, and who have gone to school for 519 00:31:26,040 --> 00:31:27,960 Speaker 1: years and years and years and years to be able 520 00:31:27,960 --> 00:31:30,280 Speaker 1: to say no, this is the one that when they 521 00:31:30,360 --> 00:31:33,840 Speaker 1: say that warning that the broad public, you know, is 522 00:31:33,880 --> 00:31:37,000 Speaker 1: willing to hear it. And at the international level. Two, 523 00:31:37,040 --> 00:31:39,760 Speaker 1: I think there will be some basic learning lessons. Like 524 00:31:39,880 --> 00:31:44,080 Speaker 1: travel bands, they're not very effective. Just because you're blocking 525 00:31:44,160 --> 00:31:47,280 Speaker 1: flights from one country doesn't mean a virus is going 526 00:31:47,320 --> 00:31:51,480 Speaker 1: to enter through another. So there have been some successes 527 00:31:51,520 --> 00:31:56,360 Speaker 1: and some obvious failures throughout the pandemic. And you gotta 528 00:31:56,680 --> 00:32:01,720 Speaker 1: think that those very equipped public officials that Josh is 529 00:32:01,760 --> 00:32:05,760 Speaker 1: describing are taking note of what didn't work. Riley, When 530 00:32:05,760 --> 00:32:08,760 Speaker 1: you look down the road, which is your entire job, 531 00:32:09,480 --> 00:32:12,200 Speaker 1: what are you watching for? What should people listening to 532 00:32:12,240 --> 00:32:16,920 Speaker 1: this podcast be looking at for. I'll give you a 533 00:32:16,960 --> 00:32:19,080 Speaker 1: present answer in a little bit down the road. I mean, 534 00:32:19,120 --> 00:32:21,160 Speaker 1: I think we're still grappling with a lot, Josh said. 535 00:32:21,440 --> 00:32:24,200 Speaker 1: He alluded to some of the issues with the lack 536 00:32:24,240 --> 00:32:27,200 Speaker 1: of funding for current pandemic response. We've got COVID, we've 537 00:32:27,200 --> 00:32:31,160 Speaker 1: got polio, we've got ebola, we've got RSP, we've got empox. 538 00:32:31,960 --> 00:32:34,200 Speaker 1: Our hands are full right now, and I think there 539 00:32:34,280 --> 00:32:37,280 Speaker 1: might be some pandemic fatigue, but that doesn't mean that 540 00:32:37,320 --> 00:32:43,200 Speaker 1: there aren't active threats that demand active response. So I'm 541 00:32:43,280 --> 00:32:47,320 Speaker 1: thinking about that quite often. Down the road. I'm following 542 00:32:47,920 --> 00:32:50,640 Speaker 1: this question of biosurveillance. What are the tools that are 543 00:32:50,680 --> 00:32:54,280 Speaker 1: cropping up out of the public and private sector to 544 00:32:54,480 --> 00:32:57,440 Speaker 1: better detect these threats right and there are a number 545 00:32:57,440 --> 00:33:00,800 Speaker 1: of companies that are working on this. The technology is 546 00:33:00,880 --> 00:33:05,240 Speaker 1: fascinating and it's accelerating really quickly. Even if the government 547 00:33:05,240 --> 00:33:08,520 Speaker 1: isn't investing in it, the private sector seems to see 548 00:33:09,520 --> 00:33:13,600 Speaker 1: market opportunity here. This looks like wastewater surveillance. It looks 549 00:33:13,680 --> 00:33:17,920 Speaker 1: like putting in detection in airports, which are these hubs 550 00:33:17,960 --> 00:33:21,040 Speaker 1: of global travel where a lot of disease comes through. 551 00:33:21,920 --> 00:33:25,440 Speaker 1: And so seeing what sticks and what continues to have 552 00:33:26,280 --> 00:33:29,920 Speaker 1: investment beyond this cycle of panic and neglect, I think 553 00:33:29,920 --> 00:33:34,960 Speaker 1: will be a really telling portrait of the future. If 554 00:33:35,000 --> 00:33:38,680 Speaker 1: we can continue to buy into these technologies, we will 555 00:33:38,720 --> 00:33:42,000 Speaker 1: be better equipped those early warning signals are the most 556 00:33:42,040 --> 00:33:44,600 Speaker 1: important thing. You can't catch it late, You've got to 557 00:33:44,600 --> 00:33:49,480 Speaker 1: catch it early. And so where government, academia, and the 558 00:33:49,520 --> 00:33:52,160 Speaker 1: private sector will rise to that opportunity and create a 559 00:33:52,160 --> 00:33:55,440 Speaker 1: better weather map for infectious disease, That's what I'm looking for. 560 00:33:56,720 --> 00:33:59,040 Speaker 1: I don't want to leave us too sad. You know 561 00:33:59,040 --> 00:34:04,080 Speaker 1: I'm a Debbie downer parently right now, you know, yeah, 562 00:34:04,120 --> 00:34:05,880 Speaker 1: I know, you know, I'm trying to be up. Like 563 00:34:06,240 --> 00:34:11,080 Speaker 1: the price of unfortunate threats and the distrust that has 564 00:34:11,440 --> 00:34:16,280 Speaker 1: stewed up with medical professionals is that lives are saved. 565 00:34:16,400 --> 00:34:18,800 Speaker 1: Right The recent study showed three million lives are saved 566 00:34:18,840 --> 00:34:21,520 Speaker 1: in the US because of the COVID vaccines. They got 567 00:34:21,560 --> 00:34:26,920 Speaker 1: a vaccine to development production into pharmacies in incredible time, 568 00:34:27,360 --> 00:34:30,920 Speaker 1: that stretched over two administrations that agreed on virtually nothing else. 569 00:34:31,000 --> 00:34:33,680 Speaker 1: There is positive that comes from that, and you would 570 00:34:33,680 --> 00:34:36,520 Speaker 1: hope that God forbid we deal with something else like 571 00:34:36,560 --> 00:34:39,120 Speaker 1: this again, that all that would be true as well. 572 00:34:39,320 --> 00:34:41,680 Speaker 1: So you know, as we deal with the fallout, like, 573 00:34:41,719 --> 00:34:45,480 Speaker 1: it's those lives saved, it's those cases avoided, and as 574 00:34:45,520 --> 00:34:48,840 Speaker 1: a result, those long COVID cases avoided. That is the 575 00:34:48,880 --> 00:34:51,560 Speaker 1: reason that these health professionals who are getting heckled and 576 00:34:51,640 --> 00:34:55,320 Speaker 1: like bullied on social media, get up every day. Riley Griffin, 577 00:34:55,440 --> 00:34:57,759 Speaker 1: Josh wynd Grove, thanks for taking the time to talk 578 00:34:57,800 --> 00:35:00,360 Speaker 1: to me today. Thanks for having us. It's fun to 579 00:35:00,400 --> 00:35:03,640 Speaker 1: be with you. Josh, Thank you, Wesh. Riley swimming in 580 00:35:03,680 --> 00:35:06,040 Speaker 1: a wake as always, but West I try to bring 581 00:35:06,120 --> 00:35:10,080 Speaker 1: some optimism. You can check out more of Riley and 582 00:35:10,160 --> 00:35:14,840 Speaker 1: Josh's reporting about preparations for the next pandemic at Bloomberg 583 00:35:14,840 --> 00:35:17,840 Speaker 1: dot com. Thanks for listening to us here at The 584 00:35:17,840 --> 00:35:20,840 Speaker 1: Big Take, the daily podcast from Bloomberg and I Heart Radio. 585 00:35:21,160 --> 00:35:23,520 Speaker 1: For more shows from my Heart Radio, visit the Heart 586 00:35:23,600 --> 00:35:27,440 Speaker 1: Radio app, Apple Podcasts, or wherever you listen. Read today's 587 00:35:27,440 --> 00:35:30,239 Speaker 1: story and subscribe to our daily newsletter at Bloomberg dot 588 00:35:30,320 --> 00:35:33,200 Speaker 1: com slash Big Take, and we'd love to hear from you. 589 00:35:33,560 --> 00:35:36,359 Speaker 1: Email us with questions or comments to Big Take at 590 00:35:36,360 --> 00:35:40,680 Speaker 1: Bloomberg dot net. The supervising producer of The Big Take 591 00:35:40,840 --> 00:35:45,560 Speaker 1: is Vicky Bergalina. Our senior producer is Katherine Fink. Our 592 00:35:45,600 --> 00:35:52,400 Speaker 1: producers are Mo Barrow and Michael Falerro is our engineer. 593 00:35:52,800 --> 00:35:56,880 Speaker 1: Original music by Leo Sidrin. I'm West Cosova. We'll be 594 00:35:56,920 --> 00:36:02,279 Speaker 1: back tomorrow with another big take, Don Don Don b