1 00:00:00,800 --> 00:00:07,160 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day one since 2 00:00:07,200 --> 00:00:12,520 Speaker 1: coronavirus was declared a global pandemic. Today's main story. The 3 00:00:12,640 --> 00:00:16,760 Speaker 1: United States is on the doorstep of another tragic milestone, 4 00:00:17,400 --> 00:00:22,520 Speaker 1: two hundred thousand deaths in the country. We're still unpacking 5 00:00:22,600 --> 00:00:25,200 Speaker 1: everything that has happened in the eight months since the 6 00:00:25,320 --> 00:00:29,200 Speaker 1: virus hid its shores and where we go from here. 7 00:00:30,640 --> 00:00:40,239 Speaker 1: But first, here's what happened in virus News today. Coronavirus 8 00:00:40,320 --> 00:00:43,720 Speaker 1: vaccine shots will be ready for public use as early 9 00:00:43,800 --> 00:00:48,560 Speaker 1: as November or December in China. That's what the country's 10 00:00:48,600 --> 00:00:53,480 Speaker 1: top bio safety scientist said this week. That timeline would 11 00:00:53,520 --> 00:00:55,960 Speaker 1: make the country one of the first in the world 12 00:00:56,200 --> 00:01:01,080 Speaker 1: to distribute a vaccine. In an interview with State television 13 00:01:01,080 --> 00:01:05,440 Speaker 1: on Tuesday, Woo Greisen, chief bio safety expert at China's 14 00:01:05,480 --> 00:01:09,720 Speaker 1: Disease Control and Prevention Center, said final stage clinical trials 15 00:01:09,880 --> 00:01:15,039 Speaker 1: of several vaccine candidates had progressed smoothly. She said she 16 00:01:15,080 --> 00:01:18,600 Speaker 1: had taken a vaccine shot in April herself and had 17 00:01:18,640 --> 00:01:24,479 Speaker 1: felt nothing abnormal. With the economic devastation of containment measures 18 00:01:24,520 --> 00:01:28,440 Speaker 1: becoming too much to bear for many governments, political pressure 19 00:01:28,560 --> 00:01:34,440 Speaker 1: has grown on drugmakers to deliver vaccines quickly. London Mayor 20 00:01:34,520 --> 00:01:38,200 Speaker 1: Sadiq Khan said further measures may be announced in the 21 00:01:38,240 --> 00:01:41,840 Speaker 1: next few days and weeks to contain infections in the 22 00:01:42,000 --> 00:01:47,520 Speaker 1: UK capital. The potential restrictions come as virus cases surge 23 00:01:47,760 --> 00:01:51,920 Speaker 1: in the city. Estimates published on Friday suggest there were 24 00:01:52,000 --> 00:01:55,720 Speaker 1: six thousand new infections per day in the city last week. 25 00:01:56,440 --> 00:02:00,880 Speaker 1: That's up from thirty two hundred the week before. Boris 26 00:02:00,960 --> 00:02:06,680 Speaker 1: Johnson's government extended coronavirus restrictions across northern England and the Midlands. 27 00:02:07,160 --> 00:02:10,679 Speaker 1: For the UK, the so called r rate, or how 28 00:02:10,680 --> 00:02:14,799 Speaker 1: many people each new COVID nineteen case infects, is now 29 00:02:14,840 --> 00:02:19,200 Speaker 1: as high as one point four. The government said that 30 00:02:19,280 --> 00:02:24,880 Speaker 1: suggests the spread is accelerating. Thailand reported its first death 31 00:02:24,919 --> 00:02:29,440 Speaker 1: from coronavirus since June second, two weeks after the nation 32 00:02:29,600 --> 00:02:33,359 Speaker 1: ended a streak of one hundred days without local transmission. 33 00:02:34,600 --> 00:02:38,280 Speaker 1: With the latest fatality, Thailand's total death told from the 34 00:02:38,320 --> 00:02:44,519 Speaker 1: pandemic rose to fifty nine. Thailand, which was the first 35 00:02:44,600 --> 00:02:48,760 Speaker 1: country outside China to detect the coronavirus, is among a 36 00:02:48,880 --> 00:02:51,960 Speaker 1: handful of nations in the region which have managed to 37 00:02:52,000 --> 00:03:00,320 Speaker 1: contain the pandemic. And now for today's main story, the 38 00:03:00,440 --> 00:03:04,040 Speaker 1: US will top two hundred thousand deaths from the novel 39 00:03:04,080 --> 00:03:09,040 Speaker 1: coronavirus in the next few days. It's a devastating milestone 40 00:03:09,120 --> 00:03:13,320 Speaker 1: that comes only weeks before a presidential election where the 41 00:03:13,400 --> 00:03:17,800 Speaker 1: virus response is front and center. The US has only 42 00:03:17,919 --> 00:03:21,320 Speaker 1: four percent of the world's population, but accounts for about 43 00:03:21,360 --> 00:03:27,360 Speaker 1: twenty one percent of global coronavirus deaths. The disparity underscores 44 00:03:27,400 --> 00:03:31,720 Speaker 1: America's failure to contain a virus that hit New York 45 00:03:31,760 --> 00:03:36,280 Speaker 1: City hardest in the spring, then blazed through populous states 46 00:03:36,320 --> 00:03:41,080 Speaker 1: like Texas, Florida, and California this summer. After New York 47 00:03:41,360 --> 00:03:45,640 Speaker 1: contained its infection, I spoke with reporter em A Court 48 00:03:45,840 --> 00:03:49,160 Speaker 1: about what COVID nineteen in the US looks like now, 49 00:03:49,800 --> 00:03:52,880 Speaker 1: eight months after it was first found on American soil, 50 00:03:53,280 --> 00:04:00,360 Speaker 1: and what we have learned about it since. So we're 51 00:04:00,400 --> 00:04:03,200 Speaker 1: about to hit a pretty dark milestone in the US 52 00:04:03,560 --> 00:04:08,040 Speaker 1: two deaths from COVID nineteen. I was wondering, could you 53 00:04:08,080 --> 00:04:12,480 Speaker 1: maybe just give us a little color on this grim statistic. 54 00:04:13,320 --> 00:04:15,880 Speaker 1: It's honestly a point I think a lot of people 55 00:04:16,400 --> 00:04:19,000 Speaker 1: hoped we would never get to and I think the 56 00:04:19,080 --> 00:04:22,040 Speaker 1: fear now is where are we going to be at 57 00:04:22,040 --> 00:04:23,880 Speaker 1: the end of the year. You know, how many deaths 58 00:04:23,920 --> 00:04:26,560 Speaker 1: are we going to be talking about in a couple 59 00:04:26,560 --> 00:04:29,800 Speaker 1: of months time. I like to think of the pandemic 60 00:04:29,839 --> 00:04:32,680 Speaker 1: in terms of phases. So earlier this year, we saw 61 00:04:32,800 --> 00:04:35,560 Speaker 1: New York City get hit really hard. We saw New 62 00:04:35,680 --> 00:04:38,720 Speaker 1: Jersey have really high numbers. We saw Seattle get hit 63 00:04:38,760 --> 00:04:42,080 Speaker 1: really hard early in the pandemic, and more recently over 64 00:04:42,120 --> 00:04:46,040 Speaker 1: the summer, the burden of the virus really shifted towards 65 00:04:46,080 --> 00:04:50,480 Speaker 1: these you know, southern and southwestern states that dominated the news. 66 00:04:50,560 --> 00:04:54,880 Speaker 1: Right We had you know, Texas, Arizona, Florida, California. Really 67 00:04:55,240 --> 00:04:58,680 Speaker 1: the virus sort of blaze through those areas, and you know, 68 00:04:58,760 --> 00:05:02,080 Speaker 1: fast forwarding to now to the fall. Uh. You know, 69 00:05:02,160 --> 00:05:04,280 Speaker 1: we've been talking about the fall as a time of 70 00:05:04,440 --> 00:05:08,680 Speaker 1: great concern for months now because schools are reopening, we're 71 00:05:08,680 --> 00:05:12,400 Speaker 1: seeing colleges reopening, um, you know many in several parts 72 00:05:12,440 --> 00:05:15,240 Speaker 1: of the country, the temperatures are getting a lot cooler, 73 00:05:15,279 --> 00:05:19,000 Speaker 1: people are moving their socializing indoors, where obviously there's a 74 00:05:19,080 --> 00:05:22,680 Speaker 1: higher risk of the virus being transmitted. So when you 75 00:05:22,720 --> 00:05:26,520 Speaker 1: think about these different phases of the virus right now, 76 00:05:26,520 --> 00:05:28,760 Speaker 1: we're a little bit at a at an inflection point, 77 00:05:28,800 --> 00:05:31,120 Speaker 1: and we don't really know what's going to happen. We're 78 00:05:31,120 --> 00:05:34,480 Speaker 1: seeing those hotspots from the summer really dying down, and 79 00:05:34,520 --> 00:05:38,480 Speaker 1: that's reflected in overall the case numbers declining. We've seen 80 00:05:38,560 --> 00:05:42,320 Speaker 1: deaths decline as well. We have more understanding of the 81 00:05:42,320 --> 00:05:45,880 Speaker 1: public health measures that are needed to try to stop 82 00:05:45,960 --> 00:05:49,280 Speaker 1: the virus from spreading. But you know, whether we see 83 00:05:49,320 --> 00:05:52,880 Speaker 1: all this happen for a third time again is really 84 00:05:52,960 --> 00:05:57,440 Speaker 1: kind of up in the air now. Is it's a 85 00:05:57,560 --> 00:06:01,320 Speaker 1: very grim number, but is there any doubt as to 86 00:06:01,480 --> 00:06:05,520 Speaker 1: its accuracy? There's a lot of doubt. I think we 87 00:06:05,560 --> 00:06:09,360 Speaker 1: can all agree that two hundred thousand is a floor 88 00:06:09,680 --> 00:06:13,320 Speaker 1: for death. So we know, you know, when we hit 89 00:06:13,400 --> 00:06:17,120 Speaker 1: this two hundred thousand number, it will be two official deaths. 90 00:06:17,120 --> 00:06:20,000 Speaker 1: But we also know that our our system hasn't, through 91 00:06:20,040 --> 00:06:22,680 Speaker 1: the course of the pandemic, been very good at recognizing 92 00:06:22,800 --> 00:06:27,360 Speaker 1: all coronavirus deaths for a variety of different reasons um 93 00:06:27,560 --> 00:06:31,120 Speaker 1: And so we know, for instance, looking at CDC data, 94 00:06:31,600 --> 00:06:35,560 Speaker 1: that we have this marker called, you know, excess mortality, 95 00:06:35,600 --> 00:06:39,360 Speaker 1: and basically you look at historically how many deaths you've 96 00:06:39,400 --> 00:06:41,680 Speaker 1: had in a given year, and then you look at 97 00:06:41,680 --> 00:06:44,480 Speaker 1: how many deaths you've actually had this year. And we 98 00:06:44,560 --> 00:06:48,839 Speaker 1: know we've already seen more than two hundred thousand deaths 99 00:06:48,839 --> 00:06:51,760 Speaker 1: occur this year than we were expecting, and so that 100 00:06:51,880 --> 00:06:55,680 Speaker 1: might not all be COVID nineteen. By the way, Um, 101 00:06:55,880 --> 00:06:59,200 Speaker 1: you know, people were avoiding medical care for a long 102 00:06:59,279 --> 00:07:03,000 Speaker 1: time because they afraid of going to these virus written hospitals. 103 00:07:03,200 --> 00:07:06,039 Speaker 1: They didn't want to get sick. We know people died 104 00:07:06,400 --> 00:07:09,600 Speaker 1: of heart attacks things like that at home. Unfortunately, so 105 00:07:10,280 --> 00:07:13,520 Speaker 1: this number isn't you know, it's not a hundred clear 106 00:07:14,000 --> 00:07:18,400 Speaker 1: exactly how this pans out, but we do know that unfortunately, 107 00:07:18,840 --> 00:07:21,280 Speaker 1: likely more than a hundred two hundred thousand people have 108 00:07:21,320 --> 00:07:24,400 Speaker 1: already died from this virus. I was wondering, if you 109 00:07:24,480 --> 00:07:28,360 Speaker 1: might go into how does perhaps this two hundred thousand 110 00:07:28,480 --> 00:07:31,480 Speaker 1: number or where the US is right now with COVID, 111 00:07:31,920 --> 00:07:35,040 Speaker 1: how does this relate to testing rates in the US. 112 00:07:36,200 --> 00:07:40,440 Speaker 1: Testing has remained a challenge in the US, and it 113 00:07:40,600 --> 00:07:43,960 Speaker 1: does obscure our view of the virus when we aren't 114 00:07:44,000 --> 00:07:49,240 Speaker 1: testing enough. We actually know testing has been declining each 115 00:07:49,280 --> 00:07:52,440 Speaker 1: week since the summer, and we're doing about you know, 116 00:07:52,480 --> 00:07:56,000 Speaker 1: a million tests, uh, less than we were doing in 117 00:07:56,120 --> 00:08:00,760 Speaker 1: July of the summer. So it's unclear whether when we 118 00:08:00,800 --> 00:08:05,920 Speaker 1: see cases decline we can be certain that it's entirely 119 00:08:05,960 --> 00:08:10,160 Speaker 1: because cases are declining and not because, uh, we're doing 120 00:08:10,200 --> 00:08:13,600 Speaker 1: less testing. So as always, that remains kind of a 121 00:08:13,640 --> 00:08:16,840 Speaker 1: fog through which we're viewing these numbers, and we can't 122 00:08:16,880 --> 00:08:19,840 Speaker 1: be totally sure. We have some other metrics we can 123 00:08:19,880 --> 00:08:22,480 Speaker 1: turn to to try to make sense of these numbers, 124 00:08:22,520 --> 00:08:26,280 Speaker 1: like test positivity rates. If test positivity rates are pretty high, 125 00:08:26,360 --> 00:08:28,520 Speaker 1: as we've seen, you know, just a couple of months 126 00:08:28,560 --> 00:08:31,280 Speaker 1: ago in the US, we know for sure that we're 127 00:08:31,280 --> 00:08:35,040 Speaker 1: probably not testing enough, but it's hard to know until 128 00:08:35,480 --> 00:08:37,520 Speaker 1: you really see all this stuff pan out in terms 129 00:08:37,559 --> 00:08:41,400 Speaker 1: of hospitalization and death rates. And of course the issue 130 00:08:41,440 --> 00:08:44,320 Speaker 1: with that is these numbers come a lot down the road, 131 00:08:44,360 --> 00:08:46,760 Speaker 1: and by the time you know you're having a problem, 132 00:08:46,800 --> 00:08:49,240 Speaker 1: you're you're kind of late to be doing anything to 133 00:08:49,320 --> 00:08:54,040 Speaker 1: really stop it quickly. Now you've mentioned that the US 134 00:08:54,120 --> 00:08:56,680 Speaker 1: is really at an inflection point, and I was wondering 135 00:08:56,720 --> 00:08:59,040 Speaker 1: if maybe we could talk a little bit more about 136 00:08:59,040 --> 00:09:02,320 Speaker 1: that in terms of the trajectory of the virus coming 137 00:09:02,360 --> 00:09:05,000 Speaker 1: off the summer. As you were mentioning into the fall, 138 00:09:05,600 --> 00:09:09,360 Speaker 1: what are the major concerns going into the next several 139 00:09:09,400 --> 00:09:13,520 Speaker 1: months or even say into one in terms of what 140 00:09:13,679 --> 00:09:16,880 Speaker 1: might be happening with the trajectory of the virus in 141 00:09:16,920 --> 00:09:20,400 Speaker 1: the US. I think it can be really hard to 142 00:09:20,440 --> 00:09:22,800 Speaker 1: get a sense of where the U S is in 143 00:09:22,840 --> 00:09:26,319 Speaker 1: this outbreak because it's all relative, right So things appear 144 00:09:26,440 --> 00:09:29,520 Speaker 1: to be on the upswaying from where they were the summer, 145 00:09:29,559 --> 00:09:32,559 Speaker 1: but things were really quite bad this summer. I mean, 146 00:09:32,559 --> 00:09:34,960 Speaker 1: if you look at you know, for instance, the Kaiser 147 00:09:35,000 --> 00:09:39,520 Speaker 1: Family Foundation, which is an independent nonprofit, maintains this map 148 00:09:39,679 --> 00:09:42,040 Speaker 1: of COVID nineteen hot spots in the U S. If 149 00:09:42,040 --> 00:09:44,120 Speaker 1: you look at the map today, you know, as of 150 00:09:44,120 --> 00:09:46,920 Speaker 1: the time we take this, thirty three states were considered 151 00:09:46,960 --> 00:09:49,760 Speaker 1: hot spots. I mean, the country is you know, a 152 00:09:49,800 --> 00:09:52,560 Speaker 1: massive red right now if you look at this map. 153 00:09:52,679 --> 00:09:56,080 Speaker 1: So it's important to note, like we are still in 154 00:09:56,120 --> 00:09:58,840 Speaker 1: the trenches here. You know, things appear to be getting better, 155 00:09:58,880 --> 00:10:02,040 Speaker 1: but it's all relative to where we were before. One 156 00:10:02,080 --> 00:10:05,440 Speaker 1: of the big concerns about this fall again is more 157 00:10:05,520 --> 00:10:09,439 Speaker 1: institutions are reopening. The weather in parts of the country 158 00:10:09,559 --> 00:10:13,240 Speaker 1: is getting cooler. People meeting indoors. And then, of course 159 00:10:13,240 --> 00:10:16,160 Speaker 1: there's the fact that you know, traditionally we can have 160 00:10:16,240 --> 00:10:19,640 Speaker 1: really bad flu seasons, and the symptoms of flu are 161 00:10:19,720 --> 00:10:24,000 Speaker 1: extremely similar the symptoms of COVID nineteen. And in a 162 00:10:24,080 --> 00:10:27,200 Speaker 1: country where the medical infrastructure has already been placed under 163 00:10:27,240 --> 00:10:30,679 Speaker 1: strain by COVID nineteen, the chances of having a bad 164 00:10:30,720 --> 00:10:34,000 Speaker 1: flu season are are concerning, to say the least. I mean, 165 00:10:34,160 --> 00:10:37,320 Speaker 1: we've seen from other parts of the world that the 166 00:10:37,360 --> 00:10:41,720 Speaker 1: flu seasons have actually been milder in many cases because 167 00:10:41,760 --> 00:10:45,360 Speaker 1: people are doing these things like social distancing and wearing masks. 168 00:10:45,400 --> 00:10:48,560 Speaker 1: So we know these measures, if we undertake them, will 169 00:10:48,600 --> 00:10:52,000 Speaker 1: not only prevent COVID nineteen from spreading, but also other 170 00:10:52,280 --> 00:10:56,199 Speaker 1: concerns like flu. But again, it's it is a concerning 171 00:10:56,200 --> 00:10:59,880 Speaker 1: time of year. There were beliefs that summer would be 172 00:11:01,040 --> 00:11:04,000 Speaker 1: a better time for the coronavirus crisis, and that just 173 00:11:04,120 --> 00:11:06,840 Speaker 1: didn't turn out to be true and and that's not 174 00:11:07,040 --> 00:11:13,240 Speaker 1: what happened. So let's look big picture. What does this 175 00:11:13,320 --> 00:11:17,120 Speaker 1: number two hundred thousand say. Do you think about the 176 00:11:17,280 --> 00:11:22,240 Speaker 1: US is overall response to COVID nineteen throughout this year? 177 00:11:23,800 --> 00:11:28,160 Speaker 1: It says we have done a very poor job of 178 00:11:28,240 --> 00:11:31,040 Speaker 1: containing this virus. You know, we have four percent of 179 00:11:31,080 --> 00:11:35,600 Speaker 1: the world's population and about of global coronavirus deaths. I mean, 180 00:11:36,120 --> 00:11:40,000 Speaker 1: this is something that has to be taken really seriously, 181 00:11:40,440 --> 00:11:44,840 Speaker 1: you know, especially considering where these deaths have occurred, who 182 00:11:45,040 --> 00:11:48,480 Speaker 1: these deaths have affected. We know people with other medical 183 00:11:48,520 --> 00:11:51,880 Speaker 1: conditions have disproportionately died from this virus. We know elderly 184 00:11:51,960 --> 00:11:54,320 Speaker 1: people have died from this virus. We know people of 185 00:11:54,400 --> 00:11:57,680 Speaker 1: color have disproportionately died from this virus. We also know 186 00:11:57,760 --> 00:12:02,199 Speaker 1: geographically that the virus deaths have been, you know, especially 187 00:12:02,200 --> 00:12:06,120 Speaker 1: concentrated in just about twelve states, and seventy percent more 188 00:12:06,160 --> 00:12:09,520 Speaker 1: than seventy of virus deaths in the US happened in 189 00:12:09,600 --> 00:12:12,120 Speaker 1: just twelve states, including some of the names that you 190 00:12:12,200 --> 00:12:16,120 Speaker 1: might assume you know in New York, California, Texas. It's 191 00:12:16,120 --> 00:12:19,400 Speaker 1: really striking when you think about this two number in 192 00:12:19,480 --> 00:12:21,760 Speaker 1: more death I mean, that is a really that's a 193 00:12:21,840 --> 00:12:24,360 Speaker 1: large number, and and it's an amount of deaths that 194 00:12:24,720 --> 00:12:27,319 Speaker 1: weren't we didn't expect to happen this year, right, I mean, 195 00:12:27,360 --> 00:12:30,079 Speaker 1: this is a new pandemic um. I think it can 196 00:12:30,120 --> 00:12:33,400 Speaker 1: be helpful to think about it in terms of even 197 00:12:33,480 --> 00:12:37,400 Speaker 1: just cities in the U S. So, um, you know, Yonkers, 198 00:12:37,440 --> 00:12:41,160 Speaker 1: New York has a population of two people. Huntsville, Alabama, 199 00:12:41,200 --> 00:12:43,480 Speaker 1: has a population of two people. I mean, we're talking 200 00:12:43,480 --> 00:12:48,160 Speaker 1: about an entire city die basically, if if you think 201 00:12:48,160 --> 00:12:54,760 Speaker 1: about it in just geographic terms. Is there any good 202 00:12:54,760 --> 00:12:58,920 Speaker 1: news for folks looking for some regarding COVID nineteen in 203 00:12:58,960 --> 00:13:01,400 Speaker 1: the US. I think you can see good news in 204 00:13:01,440 --> 00:13:04,880 Speaker 1: a couple of places. I mean, from a public health perspective, 205 00:13:05,840 --> 00:13:08,800 Speaker 1: I would say the good news is we do know 206 00:13:08,960 --> 00:13:11,400 Speaker 1: what the right thing is to do, even though it's 207 00:13:11,440 --> 00:13:13,840 Speaker 1: hard to do and it's hard to sustain for such 208 00:13:13,840 --> 00:13:17,640 Speaker 1: a long period of time. Where now eight months into 209 00:13:17,720 --> 00:13:20,880 Speaker 1: a virus that was first confirmed on US soil back 210 00:13:20,880 --> 00:13:24,360 Speaker 1: in late January, right, I think it's almost become a 211 00:13:24,360 --> 00:13:26,160 Speaker 1: bit of a cliche at this point. We know you're 212 00:13:26,160 --> 00:13:27,880 Speaker 1: supposed to wear a mask, we know you're supposed to 213 00:13:27,920 --> 00:13:31,240 Speaker 1: social distance, wash your hands, all that good stuff. But 214 00:13:31,320 --> 00:13:33,880 Speaker 1: we do know that we have that information and we 215 00:13:33,920 --> 00:13:36,680 Speaker 1: have the ability. You know, most of us hopefully have 216 00:13:36,720 --> 00:13:39,360 Speaker 1: the ability to adhere to these things, and not everyone 217 00:13:39,400 --> 00:13:42,520 Speaker 1: because of their circumstances and jobs and things like that, 218 00:13:42,600 --> 00:13:46,600 Speaker 1: but intrinsically that's positive because that's information that we can 219 00:13:46,720 --> 00:13:49,120 Speaker 1: use and we can put to good use. There's also 220 00:13:49,200 --> 00:13:52,720 Speaker 1: encouraging news, I think on the vaccine front, although it's 221 00:13:52,720 --> 00:13:56,520 Speaker 1: still very much remains to be seen whether these experimental 222 00:13:57,080 --> 00:14:01,440 Speaker 1: drugs are going to be effective and safe for Americans 223 00:14:01,480 --> 00:14:04,800 Speaker 1: and for the global population. I think there's a real 224 00:14:04,960 --> 00:14:08,600 Speaker 1: effort from the private sector to try to find a 225 00:14:08,679 --> 00:14:11,880 Speaker 1: solution to this. But I think we've seen the public 226 00:14:11,920 --> 00:14:15,960 Speaker 1: health response to this lag behind. And what does that 227 00:14:16,000 --> 00:14:18,560 Speaker 1: say about America. I think it says a lot about 228 00:14:19,000 --> 00:14:21,480 Speaker 1: you know, where we invest, where our priorities have been 229 00:14:21,520 --> 00:14:24,360 Speaker 1: historically um and it gives us the opportunity to do 230 00:14:24,440 --> 00:14:32,000 Speaker 1: better that was in the corps. And that's it for 231 00:14:32,040 --> 00:14:34,720 Speaker 1: our show today. For coverage of the outbreak from one 232 00:14:35,520 --> 00:14:40,240 Speaker 1: bureaus around the world, visit Bloomberg dot com slash Coronavirus 233 00:14:41,240 --> 00:14:43,600 Speaker 1: and if you like the show, please leave us a 234 00:14:43,600 --> 00:14:47,680 Speaker 1: review and a rating on Apple Podcasts or Spotify. It's 235 00:14:47,720 --> 00:14:51,000 Speaker 1: the best way to help more listeners find our global reporting. 236 00:14:52,000 --> 00:14:55,520 Speaker 1: The Prognosis Daily edition is produced by Top for fourheads 237 00:14:55,680 --> 00:15:01,360 Speaker 1: Jordan Gospore, Magnus Hendrickson and me Laura Carlson. Today's main 238 00:15:01,440 --> 00:15:05,920 Speaker 1: story was reported by Emma Court. Original music by Leo Sigrin. 239 00:15:06,720 --> 00:15:11,080 Speaker 1: Our editors are Rick Shine and Francesca Levi. Francesca Leavi 240 00:15:11,320 --> 00:15:14,680 Speaker 1: is Bloomberg's head of podcasts. Thanks for listening.