1 00:00:04,920 --> 00:00:10,840 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's state since coronavirus 2 00:00:10,920 --> 00:00:15,160 Speaker 1: was declared a global pandemic on today's show. With COVID 3 00:00:15,240 --> 00:00:19,560 Speaker 1: nineteen crippling much of the world, there's intense uncertainty about 4 00:00:19,560 --> 00:00:23,360 Speaker 1: what's next for global societies. In the United States, it's 5 00:00:23,360 --> 00:00:26,880 Speaker 1: hard to envision when the economy and our lives will 6 00:00:26,920 --> 00:00:30,560 Speaker 1: get back to normal. But it turns out there is 7 00:00:30,600 --> 00:00:32,720 Speaker 1: a plan to beat the virus and to get the 8 00:00:32,720 --> 00:00:36,680 Speaker 1: country back to work. The question is whether the government 9 00:00:36,680 --> 00:00:47,720 Speaker 1: will follow it. But first, here's what happened today. New 10 00:00:47,800 --> 00:00:51,920 Speaker 1: York Governor Andrew Cuomo said COVID nineteen deaths seem to 11 00:00:51,920 --> 00:00:55,520 Speaker 1: be hitting a plateau. The state has become the epicenter 12 00:00:55,720 --> 00:00:59,080 Speaker 1: of the u S outbreak. Cuomo says measures to lock 13 00:00:59,160 --> 00:01:01,720 Speaker 1: down the state have started to work, but that the 14 00:01:01,800 --> 00:01:05,440 Speaker 1: challenge is to maintain social distancing. For two days in 15 00:01:05,480 --> 00:01:07,640 Speaker 1: a row, the death toll has been about the same 16 00:01:08,520 --> 00:01:12,440 Speaker 1: for over a week, they had been increasing daily. If 17 00:01:12,480 --> 00:01:16,039 Speaker 1: we are plateauing, we are plateauing at a very high level, 18 00:01:16,319 --> 00:01:19,960 Speaker 1: and this tremendous stress on the healthcare system. There are 19 00:01:20,000 --> 00:01:24,560 Speaker 1: also more signs that the crisis may be easing In Europe, Italy, France, 20 00:01:24,680 --> 00:01:28,759 Speaker 1: Germany and Spain all reported lower numbers of new cases, 21 00:01:29,160 --> 00:01:32,280 Speaker 1: and the Netherlands had the smallest increase in deaths in 22 00:01:32,319 --> 00:01:38,160 Speaker 1: a week. Austria took the first steps towards restarting its economy. However, 23 00:01:38,440 --> 00:01:42,160 Speaker 1: the news on Monday wasn't all positive. UK Prime Minister 24 00:01:42,240 --> 00:01:46,560 Speaker 1: Boris Johnson, who had previously tested positive for coronavirus, was 25 00:01:46,640 --> 00:01:50,080 Speaker 1: taken to a London hospital over the weekend. On Monday, 26 00:01:50,400 --> 00:01:53,640 Speaker 1: Johnson was moved to an intensive care unit after his 27 00:01:53,720 --> 00:01:58,760 Speaker 1: condition worsened. From the economic perspective, there's little doubt we're 28 00:01:58,760 --> 00:02:02,120 Speaker 1: in for a deep recession. That's according to Jamie Diamond, 29 00:02:02,360 --> 00:02:05,280 Speaker 1: CEO of j P Morgan Chase, who said in his 30 00:02:05,400 --> 00:02:08,720 Speaker 1: annual letter to shareholders that the economic downturn we have 31 00:02:08,800 --> 00:02:12,360 Speaker 1: in store will mirror the meltdown after the two thousand 32 00:02:12,400 --> 00:02:18,800 Speaker 1: eight financial crisis. Finally, imports of an unapproved drug touted 33 00:02:18,840 --> 00:02:23,160 Speaker 1: by President Donald Trump have just taken a major hit. India, 34 00:02:23,400 --> 00:02:26,200 Speaker 1: which makes roughly half the supply of the malaria drug 35 00:02:26,400 --> 00:02:30,760 Speaker 1: hydroxy chloroquin, banned its exports Monday to ensure enough supply 36 00:02:30,840 --> 00:02:34,679 Speaker 1: for domestic use. The president had called the drug a 37 00:02:34,800 --> 00:02:38,640 Speaker 1: game changer in treating coronavirus, even though there's no conclusive 38 00:02:38,680 --> 00:02:42,040 Speaker 1: scientific evidence that it can treat the infection caused by 39 00:02:42,040 --> 00:02:45,720 Speaker 1: the novel coronavirus. The drug also hasn't been approved to 40 00:02:45,760 --> 00:02:48,760 Speaker 1: treat COVID nineteen by the U S Food and Drug Administration. 41 00:02:49,520 --> 00:03:00,800 Speaker 1: Trump's endorsement had caused global stockpiling of the medication. Now 42 00:03:00,840 --> 00:03:07,200 Speaker 1: for today's main story, former f d A Commissioner Scott 43 00:03:07,200 --> 00:03:10,760 Speaker 1: Gottlieb is concerned that the unfolding crisis in New York City, 44 00:03:11,240 --> 00:03:14,760 Speaker 1: the epicenter of the coronavirus in America, could be replicated 45 00:03:14,880 --> 00:03:18,800 Speaker 1: in other cities across the country. Gottlieb, a physician and 46 00:03:18,919 --> 00:03:22,320 Speaker 1: informal adviser to the Trump administration, has been sounding the 47 00:03:22,400 --> 00:03:25,560 Speaker 1: alarm on the US federal government's need to prepare for 48 00:03:25,600 --> 00:03:29,919 Speaker 1: a domestic outbreak of the novel coronavirus since late January. 49 00:03:30,440 --> 00:03:33,680 Speaker 1: He told Bloomberg's Anna Edney that although the pandemic will 50 00:03:33,720 --> 00:03:36,560 Speaker 1: get worse before it gets better, he has a plan 51 00:03:36,720 --> 00:03:41,280 Speaker 1: to help prevent further spread of the disease. Gottlieb starts 52 00:03:41,280 --> 00:03:43,720 Speaker 1: out by talking about what he thinks of the White 53 00:03:43,720 --> 00:03:47,120 Speaker 1: House response to coronavirus and what they could have done 54 00:03:47,160 --> 00:03:50,160 Speaker 1: differently earlier this year when there were just a few 55 00:03:50,240 --> 00:03:54,800 Speaker 1: known cases in the country. Well, look, I think that 56 00:03:54,800 --> 00:03:57,360 Speaker 1: there's going to be a lot of time to UM 57 00:03:57,560 --> 00:04:00,160 Speaker 1: look back with. People are gonna be writing books about 58 00:04:00,240 --> 00:04:02,560 Speaker 1: this episode for the next hundred years. This is really 59 00:04:02,560 --> 00:04:06,960 Speaker 1: a historic period of time. I think they've been worried 60 00:04:06,960 --> 00:04:09,920 Speaker 1: about this as as long as I've been engaged with them, 61 00:04:09,920 --> 00:04:13,880 Speaker 1: in the conversations that I've been talking to them about this. UM. 62 00:04:13,960 --> 00:04:16,640 Speaker 1: They started to take action in January. You know, the 63 00:04:16,680 --> 00:04:19,880 Speaker 1: stuff that I thought they should do in January, and 64 00:04:20,080 --> 00:04:22,880 Speaker 1: I thought they should do in February. I wrote about 65 00:04:22,960 --> 00:04:25,479 Speaker 1: January and February, so you know, I was on the 66 00:04:25,520 --> 00:04:29,200 Speaker 1: record talking about things that I thought should have gotten 67 00:04:29,240 --> 00:04:33,719 Speaker 1: done with respect to the screening, the diagnostic screening. I'm 68 00:04:33,720 --> 00:04:36,200 Speaker 1: talking a lot now about things I'd like to see 69 00:04:36,480 --> 00:04:39,960 Speaker 1: with respect to a more deliver strategy with with respect 70 00:04:40,000 --> 00:04:48,000 Speaker 1: to the development of therapeutics and drugs. And it's hard 71 00:04:48,040 --> 00:04:51,720 Speaker 1: for me to know everything that went on on the inside. Um. 72 00:04:51,760 --> 00:04:54,440 Speaker 1: You know, I'm sure that they struggled with trying to 73 00:04:54,480 --> 00:04:57,640 Speaker 1: get more testing capacity out sooner, but the bottom line 74 00:04:57,720 --> 00:05:00,600 Speaker 1: is that we were. We were dependent upon epide neological 75 00:05:00,720 --> 00:05:06,080 Speaker 1: surveillance data into February that was imprecise, so you know, 76 00:05:06,120 --> 00:05:09,760 Speaker 1: there was the the um possibility that you could have 77 00:05:09,839 --> 00:05:12,719 Speaker 1: hundreds of cases and probably low thousands, and you wouldn't 78 00:05:12,760 --> 00:05:17,160 Speaker 1: necessarily detect it, And at epidemiological surveillance data was backward looking. 79 00:05:17,200 --> 00:05:20,279 Speaker 1: You would depend upon looking at admissions to the hospitals 80 00:05:20,360 --> 00:05:22,080 Speaker 1: or the e d S, people who showed up for 81 00:05:22,200 --> 00:05:25,080 Speaker 1: respiratory illness, people who showed up with influenza like illness 82 00:05:25,120 --> 00:05:27,800 Speaker 1: but tested negative for flu. That was always a week 83 00:05:27,839 --> 00:05:29,840 Speaker 1: old because that data gets reported at the end of 84 00:05:29,880 --> 00:05:33,400 Speaker 1: every week. So if you did have a outbreak in 85 00:05:33,480 --> 00:05:38,120 Speaker 1: this country that was sufficiently small, you weren't going to 86 00:05:38,480 --> 00:05:41,080 Speaker 1: detect it in a timely fashion. And that's what happened 87 00:05:41,080 --> 00:05:43,039 Speaker 1: in Seattle, and it's probably what happened in New York 88 00:05:43,080 --> 00:05:45,600 Speaker 1: as well now looking back at the data. So when 89 00:05:45,600 --> 00:05:47,279 Speaker 1: you look at the data New York and you look 90 00:05:47,279 --> 00:05:49,880 Speaker 1: in early March, you start to see a signal in 91 00:05:49,880 --> 00:05:54,120 Speaker 1: the influenza like illness surveillance system that people were presenting 92 00:05:54,200 --> 00:05:57,720 Speaker 1: with influenza like symptoms at a time when flu rates 93 00:05:57,720 --> 00:06:00,600 Speaker 1: were going back to baseline. That was probably an indication 94 00:06:00,640 --> 00:06:04,760 Speaker 1: that coronavirus was circulating. Probably had an introduction of coronavirus 95 00:06:04,839 --> 00:06:07,559 Speaker 1: at some point in early January. I think he dated 96 00:06:07,600 --> 00:06:11,039 Speaker 1: it to like January twelve or thereabouts. And that cluster 97 00:06:11,600 --> 00:06:13,880 Speaker 1: that was a single spark that that lit a fire, 98 00:06:14,440 --> 00:06:17,440 Speaker 1: and it grew and it kept growing, and when it 99 00:06:17,480 --> 00:06:20,920 Speaker 1: reached hundreds of cases, suddenly it started to throw off 100 00:06:20,960 --> 00:06:23,760 Speaker 1: other sparks. And you saw the events in the nursing home. 101 00:06:23,880 --> 00:06:27,599 Speaker 1: You saw that young gentlemen present with flu like symptoms 102 00:06:27,600 --> 00:06:30,360 Speaker 1: who got diagnosed with coronavirus, and so it became apparent 103 00:06:30,440 --> 00:06:33,159 Speaker 1: that there was an outbreak in Seattle. What happened in 104 00:06:33,160 --> 00:06:35,800 Speaker 1: New York by comparison, and we won't know this, We 105 00:06:35,880 --> 00:06:38,599 Speaker 1: might never know this, but this is sort of conjecture, 106 00:06:39,240 --> 00:06:42,120 Speaker 1: is New York wasn't a single introduction that lit a fire. 107 00:06:42,200 --> 00:06:46,000 Speaker 1: New York was maybe dozens of introductions, dozens of sparks 108 00:06:46,000 --> 00:06:48,760 Speaker 1: that each lit their own fires, and they all grew, 109 00:06:49,200 --> 00:06:51,480 Speaker 1: and they were all small clusters, and then they all 110 00:06:51,520 --> 00:06:53,440 Speaker 1: became apparent at the same time, so that by the 111 00:06:53,480 --> 00:06:55,400 Speaker 1: time you discovered there was spread in New York, there 112 00:06:55,440 --> 00:06:58,919 Speaker 1: wasn't one large cluster expanding. There were dozens of small 113 00:06:58,960 --> 00:07:01,480 Speaker 1: clusters all expanding, and at that point it was too 114 00:07:01,560 --> 00:07:04,560 Speaker 1: late to do much to mitigate the risk short of 115 00:07:04,600 --> 00:07:07,760 Speaker 1: the population type mitigation. And I worry that that's what 116 00:07:07,800 --> 00:07:11,240 Speaker 1: other cities are going to experience now, that other cities 117 00:07:11,240 --> 00:07:13,600 Speaker 1: aren't going to be one or two or half a 118 00:07:13,640 --> 00:07:17,120 Speaker 1: dozen introductions that lead to clusters that are expanding, but 119 00:07:17,160 --> 00:07:20,360 Speaker 1: they're gonna be many introductions, and maybe even more than 120 00:07:20,360 --> 00:07:23,440 Speaker 1: New York, because while New York was probably seated from 121 00:07:23,440 --> 00:07:25,800 Speaker 1: people coming over from Italy and maybe China and other 122 00:07:25,840 --> 00:07:28,760 Speaker 1: parts of the world, UM, Florida was seated from New 123 00:07:28,800 --> 00:07:31,760 Speaker 1: York and Seattle, and you know, Chicago was seated from 124 00:07:31,760 --> 00:07:36,280 Speaker 1: New York and Seattle and Massachusetts and southern California and 125 00:07:36,320 --> 00:07:38,680 Speaker 1: northern California. So the other cities that are going to 126 00:07:38,760 --> 00:07:43,520 Speaker 1: experience this epidemic later weren't seated from foreign travelers. They 127 00:07:43,560 --> 00:07:46,240 Speaker 1: was seated by domestic travelers. And the magnitude of the 128 00:07:46,280 --> 00:07:49,440 Speaker 1: seating that could have gone on from domestic travel as 129 00:07:49,440 --> 00:08:04,800 Speaker 1: opposed to foreign travel was probably far greater. Certainly, the 130 00:08:04,880 --> 00:08:08,720 Speaker 1: DC metro area looks very concerning, Miami looks very concerning, 131 00:08:08,920 --> 00:08:13,080 Speaker 1: UM New Orleans looks very concerning. Some of the states. 132 00:08:13,160 --> 00:08:15,320 Speaker 1: Some of the city is in the northeast look concerning 133 00:08:15,320 --> 00:08:19,560 Speaker 1: as well, Philadelphia, Detroit, Boston. But those states did implement 134 00:08:19,600 --> 00:08:22,680 Speaker 1: mitigation steps much earlier, and more aggressive mitigation steps, so 135 00:08:22,720 --> 00:08:26,240 Speaker 1: you hope you're going to see the the the benefits 136 00:08:26,240 --> 00:08:28,480 Speaker 1: of that coming through pretty soon. But in the states 137 00:08:28,520 --> 00:08:31,200 Speaker 1: that didn't implement those mitigation steps early and have the 138 00:08:31,280 --> 00:08:34,000 Speaker 1: same level of spread and the same level of positivity, 139 00:08:34,160 --> 00:08:37,200 Speaker 1: meaning people who get tested are positive at a very 140 00:08:37,280 --> 00:08:40,280 Speaker 1: high rate and are under screening, I think you worry 141 00:08:40,320 --> 00:08:44,280 Speaker 1: a lot about those UM those areas, and the Southeast 142 00:08:44,320 --> 00:08:48,679 Speaker 1: in particular, I think is is particularly suspect they're under testing. 143 00:08:49,320 --> 00:08:52,719 Speaker 1: They have rapid growth in cases UM, and when they 144 00:08:52,760 --> 00:09:00,800 Speaker 1: do test, they're getting back a lot of positives. They 145 00:09:00,800 --> 00:09:03,600 Speaker 1: had an opportunity to implement mitigation steps and really avert 146 00:09:03,679 --> 00:09:05,920 Speaker 1: a bad outcome in those cities and didn't didn't take 147 00:09:05,920 --> 00:09:08,680 Speaker 1: that opportunity. And some of them may get lucky and 148 00:09:09,160 --> 00:09:13,080 Speaker 1: escape UM significant outbreaks and epidemics, but some of them 149 00:09:13,080 --> 00:09:15,920 Speaker 1: may not. And I think by and large, whether or 150 00:09:15,960 --> 00:09:19,680 Speaker 1: not we reach some of the grim statistics that were 151 00:09:19,720 --> 00:09:22,760 Speaker 1: in Tony Fauci's model, where he was estimated that there 152 00:09:22,760 --> 00:09:25,199 Speaker 1: could be two d thousand deaths and more. I think 153 00:09:25,200 --> 00:09:27,200 Speaker 1: it's not going to turn on what happens in New York. 154 00:09:27,240 --> 00:09:28,880 Speaker 1: I think we have a pretty good handle of what 155 00:09:28,960 --> 00:09:30,640 Speaker 1: New York is gonna look like and when New York 156 00:09:30,679 --> 00:09:33,520 Speaker 1: is going to turn the corner and the overall morbidity 157 00:09:33,559 --> 00:09:36,720 Speaker 1: and mortality that the city is gonna experience. As tragic 158 00:09:36,760 --> 00:09:38,640 Speaker 1: as it is, I think we kind of understand where 159 00:09:38,640 --> 00:09:41,520 Speaker 1: the backstop is there, where the end is. At this point, 160 00:09:41,760 --> 00:09:43,640 Speaker 1: I think it's gonna turn on what happens in Texas 161 00:09:43,720 --> 00:09:48,840 Speaker 1: and what happens in Florida. Populous states, Georgia, populated states 162 00:09:48,960 --> 00:09:51,560 Speaker 1: that were slow to implement mitigation steps could have been 163 00:09:51,600 --> 00:09:55,160 Speaker 1: heavily seated, and they have very large epidemics. And Florida 164 00:09:55,200 --> 00:09:57,559 Speaker 1: has the potential to eclipse New York in terms of 165 00:09:57,880 --> 00:10:01,320 Speaker 1: the morbidity it sustains from this virus, given the demographics 166 00:10:01,320 --> 00:10:02,880 Speaker 1: of the state, given the kind of growth that we're 167 00:10:02,920 --> 00:10:06,160 Speaker 1: seeing right now, If they end up having very large epidemics, 168 00:10:06,200 --> 00:10:08,000 Speaker 1: I think that's going to drive towards some of the 169 00:10:08,040 --> 00:10:11,560 Speaker 1: more grim statistics that Tony Faucci and others were putting forward. 170 00:10:11,559 --> 00:10:23,200 Speaker 1: In some of those models, I think what we need 171 00:10:23,240 --> 00:10:26,920 Speaker 1: to appreciate, is, you know, absent a technology here, absent 172 00:10:27,000 --> 00:10:30,120 Speaker 1: a drug therapeutic or or a number of drugs that 173 00:10:30,240 --> 00:10:32,360 Speaker 1: really starts to make a very big difference in the 174 00:10:32,400 --> 00:10:34,719 Speaker 1: morbidity and mortality of this. And I think we can 175 00:10:34,760 --> 00:10:36,880 Speaker 1: get that. I think I think we should be focused 176 00:10:36,960 --> 00:10:39,600 Speaker 1: much more on the development of the therapeutic than we are, 177 00:10:39,640 --> 00:10:41,680 Speaker 1: and I think we should have a very very deliberate 178 00:10:41,679 --> 00:10:43,760 Speaker 1: industrial policy towards that. I think we should have sort 179 00:10:43,760 --> 00:10:46,640 Speaker 1: of a Manhattan style project. We seem to be focused 180 00:10:46,640 --> 00:10:48,840 Speaker 1: on the vaccine and have sort of an industrial approach 181 00:10:48,880 --> 00:10:51,000 Speaker 1: to the vaccine when you see the government working very 182 00:10:51,040 --> 00:10:53,400 Speaker 1: closely with vaccine developers, and we don't have the same 183 00:10:53,400 --> 00:10:56,000 Speaker 1: approach on a drug. And I find that odd because 184 00:10:56,040 --> 00:10:58,120 Speaker 1: the drug is really the near term opportunity and and 185 00:10:58,120 --> 00:10:59,920 Speaker 1: and the therapeutic is the only thing that's going to 186 00:11:00,040 --> 00:11:02,280 Speaker 1: make a difference in the fall and prevent this from 187 00:11:02,280 --> 00:11:05,320 Speaker 1: being something that really changes the way we live going 188 00:11:05,360 --> 00:11:09,040 Speaker 1: forward until we get to a vaccine, but absent the therapeutic, 189 00:11:09,840 --> 00:11:13,679 Speaker 1: I think April late April, early May, the epidemics running 190 00:11:13,679 --> 00:11:17,360 Speaker 1: its course nationally. May as a transition month. June, we 191 00:11:17,440 --> 00:11:20,320 Speaker 1: start to lift some of these restrictions, and I hope 192 00:11:20,600 --> 00:11:23,240 Speaker 1: that in July and August the virus sort of collapses. 193 00:11:23,480 --> 00:11:25,120 Speaker 1: That's kind of what happened if you remember back in 194 00:11:25,160 --> 00:11:28,240 Speaker 1: two thousand and nine with the swine flow. The swine 195 00:11:28,240 --> 00:11:31,120 Speaker 1: flow continued to circulate into June, which was very unusual 196 00:11:31,160 --> 00:11:34,000 Speaker 1: for flow. Flus don't usually propagate a summer. But it 197 00:11:34,040 --> 00:11:36,480 Speaker 1: was so novel. People had no cross community to it. 198 00:11:36,640 --> 00:11:39,000 Speaker 1: They were susceptible to it that it continued to spread 199 00:11:39,000 --> 00:11:41,240 Speaker 1: into June, and then in July and August it just 200 00:11:41,280 --> 00:11:43,320 Speaker 1: sort of collapsed. It. It just went away, and then 201 00:11:43,320 --> 00:11:46,000 Speaker 1: it was back in September. If you remember, summer camps 202 00:11:46,000 --> 00:11:47,720 Speaker 1: were canceled, but some of them had it. There were 203 00:11:47,760 --> 00:11:49,960 Speaker 1: some outbreaks and some summer camps and they would close, 204 00:11:50,360 --> 00:11:53,959 Speaker 1: but it by and large um really dissipated in July 205 00:11:54,000 --> 00:12:02,720 Speaker 1: and August in this sort of hot summer months. Some 206 00:12:02,800 --> 00:12:04,640 Speaker 1: things will never get back to normal. I don't think 207 00:12:04,679 --> 00:12:07,320 Speaker 1: we'll be shaking hands as much anymore. I think you 208 00:12:07,400 --> 00:12:11,080 Speaker 1: might see masks become more accepted in our culture the 209 00:12:11,120 --> 00:12:13,319 Speaker 1: way they are in some some Asian cultures. I think 210 00:12:13,320 --> 00:12:15,920 Speaker 1: the idea of crowding ten thousand people into a ballroom 211 00:12:15,960 --> 00:12:18,439 Speaker 1: for a conference might go away. You might have small 212 00:12:18,480 --> 00:12:21,160 Speaker 1: conferences that you live stream. Things are going to change. 213 00:12:21,200 --> 00:12:24,400 Speaker 1: You might see ultra violet light in walkways and airports 214 00:12:24,600 --> 00:12:28,520 Speaker 1: because it kills viruses. You're gonna see airlines advertised deep cleanings, 215 00:12:28,520 --> 00:12:30,480 Speaker 1: and Uber is going to talk about how they clean 216 00:12:30,559 --> 00:12:42,080 Speaker 1: cars in between passengers. You're gonna see things differently. That 217 00:12:42,240 --> 00:12:45,880 Speaker 1: was former FDH chair Scott Gottlie talking about what the 218 00:12:45,920 --> 00:12:50,760 Speaker 1: future is for this pandemic and for us. That's it 219 00:12:50,840 --> 00:12:54,280 Speaker 1: for the Prognosis Daily Edition. For more on the coronavirus 220 00:12:54,280 --> 00:12:56,720 Speaker 1: crisis from a hundred and twenty bureaus around the world, 221 00:12:57,200 --> 00:13:02,000 Speaker 1: visit Bloomberg dot com slash coronavius IRUs. If you appreciate 222 00:13:02,000 --> 00:13:04,560 Speaker 1: the podcast, please take a moment to rate us and 223 00:13:04,640 --> 00:13:08,040 Speaker 1: leave us a review on Apple Podcasts or Spotify to 224 00:13:08,120 --> 00:13:12,480 Speaker 1: help more listeners find our global reporting. The Prognosis Daily 225 00:13:12,600 --> 00:13:15,719 Speaker 1: Edition is hosted by me Laura Carlson. The show is 226 00:13:15,760 --> 00:13:20,640 Speaker 1: produced by me tophor Foreheaz, Jordan Gaspore and Magnus Hendrickson. 227 00:13:21,320 --> 00:13:26,200 Speaker 1: Additional reporting by Anna Edney. Original music by Leo Sidrian. 228 00:13:26,880 --> 00:13:31,520 Speaker 1: Our editors are Francesca Levi and Rick Shine Francesca Levi 229 00:13:31,920 --> 00:13:35,160 Speaker 1: is Bloomberg's head of podcasts. Thanks for listening.