1 00:00:03,840 --> 00:00:09,200 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day two seventy 2 00:00:09,240 --> 00:00:14,520 Speaker 1: seven since coronavirus was declared a global pandemic. Today's main 3 00:00:14,560 --> 00:00:19,520 Speaker 1: story healthcare workers at some of the country's most overwhelmed 4 00:00:19,600 --> 00:00:24,959 Speaker 1: hospitals finally have reason to celebrate what it's like to 5 00:00:25,040 --> 00:00:31,040 Speaker 1: be among the first inoculated against the deadly virus. But first, 6 00:00:31,840 --> 00:00:47,400 Speaker 1: here's what happened in virus news today. In the US, 7 00:00:47,800 --> 00:00:52,720 Speaker 1: Congress looks closer to passing a coronavirus relief deal. Two 8 00:00:52,760 --> 00:00:57,440 Speaker 1: people familiar with the negotiations say it includes stimulus payments 9 00:00:57,520 --> 00:01:03,880 Speaker 1: to individuals and supplement to unemployment insurance, but not liability 10 00:01:03,920 --> 00:01:09,560 Speaker 1: protections or direct aid for state and local governments. Leaders 11 00:01:09,640 --> 00:01:12,880 Speaker 1: are rushing to finalize the package in time to attach 12 00:01:12,920 --> 00:01:17,000 Speaker 1: it to crucial government spending legislation and pass it by 13 00:01:17,000 --> 00:01:20,480 Speaker 1: the end of the week. Four people briefed on the 14 00:01:20,520 --> 00:01:24,240 Speaker 1: discussions said it is expected to be less than nine 15 00:01:24,319 --> 00:01:29,440 Speaker 1: hundred billion dollars. Some of the first doses of the 16 00:01:29,520 --> 00:01:33,839 Speaker 1: fies are incorporated bio n Tech. COVID nineteen vaccine were 17 00:01:33,920 --> 00:01:37,200 Speaker 1: held up from delivery in the US this week and 18 00:01:37,240 --> 00:01:42,119 Speaker 1: sent back to the company because they were colder than anticipated. 19 00:01:43,440 --> 00:01:47,520 Speaker 1: Gustav Parana, the Army general who serves as Operation warp 20 00:01:47,560 --> 00:01:52,000 Speaker 1: Speeds Chief operations officer, said that two trades of vials 21 00:01:52,120 --> 00:01:59,160 Speaker 1: at two California locations reached degrees below zero, colder than 22 00:01:59,200 --> 00:02:02,480 Speaker 1: they are supposed to be stored. The same thing happened 23 00:02:02,560 --> 00:02:06,360 Speaker 1: at one location in Alabama, Paranah said at a news 24 00:02:06,400 --> 00:02:15,280 Speaker 1: briefing on Wednesday. Finally, Germany recorded nine ten coronavirus fatalities 25 00:02:15,560 --> 00:02:19,440 Speaker 1: in the twenty four hours through Wednesday morning, the most 26 00:02:19,760 --> 00:02:24,520 Speaker 1: since the pandemic began. A strict shutdown designed to stem 27 00:02:24,560 --> 00:02:28,919 Speaker 1: the surge of infections is being put in place. Chancellor 28 00:02:28,960 --> 00:02:32,280 Speaker 1: Angela Merkel has warned that the country faces a new 29 00:02:32,360 --> 00:02:36,920 Speaker 1: peak of COVID nineteen infections next month, suggesting that the 30 00:02:36,919 --> 00:02:46,840 Speaker 1: tougher restrictions will remain in place beyond January. And now 31 00:02:46,919 --> 00:02:51,760 Speaker 1: for today's main story. Just a month ago, Iowa experienced 32 00:02:51,840 --> 00:02:57,520 Speaker 1: its worst COVID nineteen surge yet. Coronavirus cases began soaring 33 00:02:57,560 --> 00:03:00,959 Speaker 1: there in early November, as they had have throughout the 34 00:03:01,080 --> 00:03:04,959 Speaker 1: United States. By the middle of the month, Iowa was 35 00:03:05,000 --> 00:03:10,560 Speaker 1: recording about four thousand new cases every day, But this week, 36 00:03:10,960 --> 00:03:15,040 Speaker 1: staff at a University of Iowa health Care System finally 37 00:03:15,120 --> 00:03:19,640 Speaker 1: had reason to celebrate. The first doses of Viser's vaccine 38 00:03:19,760 --> 00:03:23,960 Speaker 1: arrived at the Iowa City location Monday morning in tiny 39 00:03:24,080 --> 00:03:29,280 Speaker 1: vials packed in dry ice. Angelica Levito spoke to healthcare 40 00:03:29,360 --> 00:03:32,520 Speaker 1: workers there just after they became some of the first 41 00:03:32,560 --> 00:03:37,200 Speaker 1: Americans outside of clinical trials to get immunized against the 42 00:03:37,280 --> 00:03:41,480 Speaker 1: deadly disease. I spoke to her today about how it 43 00:03:41,560 --> 00:03:55,560 Speaker 1: went so, Angelica, you spoke to someone who is among 44 00:03:55,640 --> 00:03:57,920 Speaker 1: the first in the US to be given the COVID 45 00:03:58,000 --> 00:04:02,320 Speaker 1: nineteen vaccine developed by Fiser and Bio n Tech, Chitana Daniels. 46 00:04:02,440 --> 00:04:04,480 Speaker 1: I was wondering if you might just tell us a 47 00:04:04,520 --> 00:04:08,240 Speaker 1: bit about her. Chitana Daniels is a staff nurse in 48 00:04:08,280 --> 00:04:11,480 Speaker 1: the Medical Intensive Care Unit at the University of Iowa 49 00:04:11,800 --> 00:04:15,920 Speaker 1: Hospitals and Clinics, and so at her hospital in Iowa City, 50 00:04:16,120 --> 00:04:19,800 Speaker 1: she sees some of the most complex critical care patients 51 00:04:19,839 --> 00:04:23,679 Speaker 1: in the state. The University of Iowa is really the 52 00:04:23,720 --> 00:04:27,159 Speaker 1: only academic medical center in the state, and so they 53 00:04:27,240 --> 00:04:30,560 Speaker 1: see patients from all over Iowa and even in parts 54 00:04:30,560 --> 00:04:34,839 Speaker 1: of Illinois who are coming in with the coronavirus. And 55 00:04:34,920 --> 00:04:37,520 Speaker 1: so she's been working in the i c U since 56 00:04:37,560 --> 00:04:41,039 Speaker 1: the pandemic started, and her experience has been a little 57 00:04:41,040 --> 00:04:44,400 Speaker 1: bit unique in that in the spring, when cases were 58 00:04:44,440 --> 00:04:47,760 Speaker 1: exploding in New York City, it was pretty quiet in Iowa. 59 00:04:48,200 --> 00:04:52,240 Speaker 1: But then, unfortunately, as the year progressed, and especially during 60 00:04:52,240 --> 00:04:55,680 Speaker 1: the fall, she started seeing more and more patients and 61 00:04:56,000 --> 00:04:58,520 Speaker 1: caring for some of the sickest people in the state. 62 00:04:58,880 --> 00:05:02,320 Speaker 1: In beginning middle of November, we had like lists of 63 00:05:02,320 --> 00:05:06,039 Speaker 1: patients just waiting to get to bed, even from Illinois, 64 00:05:06,080 --> 00:05:10,000 Speaker 1: like the hospitals on the Illinois Iowa border. We're calling 65 00:05:10,720 --> 00:05:14,760 Speaker 1: places like Chicago and St. Louis trying to send their 66 00:05:14,800 --> 00:05:18,840 Speaker 1: patients and there was nowhere for them to go. You 67 00:05:18,880 --> 00:05:22,800 Speaker 1: mentioned Iowa City seeing an increase in an uptick of 68 00:05:23,040 --> 00:05:26,160 Speaker 1: COVID nineteen patients throughout the year. So how does this 69 00:05:26,200 --> 00:05:31,360 Speaker 1: play into how Iowa City was chosen or was able 70 00:05:31,400 --> 00:05:34,000 Speaker 1: to be one of the first place to begin administering 71 00:05:34,040 --> 00:05:39,120 Speaker 1: the COVID nineteen vaccine. So states are able to choose 72 00:05:39,360 --> 00:05:42,039 Speaker 1: where they want to send the doses that they're being 73 00:05:42,080 --> 00:05:45,880 Speaker 1: allocated from the federal government, and really across the country, 74 00:05:45,920 --> 00:05:50,320 Speaker 1: what we're seeing is states sending their doses to the 75 00:05:50,360 --> 00:05:53,719 Speaker 1: people who are really on the front lines dealing with 76 00:05:53,880 --> 00:05:57,119 Speaker 1: COVID patients all day, every day. And what that means 77 00:05:57,200 --> 00:06:00,440 Speaker 1: is that a lot of health systems, the large health systems, 78 00:06:00,480 --> 00:06:04,040 Speaker 1: including the University of Iowa, are getting the very first doses. 79 00:06:05,160 --> 00:06:10,880 Speaker 1: What was the process of getting the vaccine like for Chitana. So, hospitals, 80 00:06:10,920 --> 00:06:15,320 Speaker 1: including the University of Iowa, are creating algorithms and formulas 81 00:06:15,360 --> 00:06:18,760 Speaker 1: to determine who should get the first few doses because 82 00:06:19,320 --> 00:06:23,080 Speaker 1: there are a very limited um quantity at the beginning 83 00:06:23,640 --> 00:06:27,040 Speaker 1: that we see ourselves in right now. And so Titana, 84 00:06:27,320 --> 00:06:30,360 Speaker 1: given her role as a staff nurse in the medical 85 00:06:30,400 --> 00:06:34,040 Speaker 1: Intensive Care unit, UM was among the first at the 86 00:06:34,120 --> 00:06:38,120 Speaker 1: University of Iowa health system to get vaccinated. And she 87 00:06:38,240 --> 00:06:40,919 Speaker 1: got a call late last week asking her if she 88 00:06:40,960 --> 00:06:43,680 Speaker 1: would want to come in on Monday to get her shot. 89 00:06:43,880 --> 00:06:46,440 Speaker 1: And you know, at first she said she just thought 90 00:06:46,480 --> 00:06:49,400 Speaker 1: it was something normal. The next step in the process. 91 00:06:49,760 --> 00:06:51,600 Speaker 1: I think I got to call at the very end 92 00:06:51,640 --> 00:06:56,719 Speaker 1: of last week, um my manager said, we're scheduling people 93 00:06:56,880 --> 00:07:01,200 Speaker 1: to get vaccinated. We're trying to do it UM when 94 00:07:01,240 --> 00:07:03,120 Speaker 1: they have a little bit of a stretch off, a 95 00:07:03,120 --> 00:07:06,120 Speaker 1: few days off, so that if there are any side effects. 96 00:07:06,160 --> 00:07:08,160 Speaker 1: There's not a huge volume of people trying to call 97 00:07:08,200 --> 00:07:11,480 Speaker 1: off work. So I said, sure, I'll do Monday. I'll 98 00:07:11,520 --> 00:07:15,160 Speaker 1: do Monday morning, Monday afternoon now. But I didn't really feel, 99 00:07:15,800 --> 00:07:18,800 Speaker 1: I don't know, any excitement about it. Um. I was 100 00:07:18,840 --> 00:07:21,880 Speaker 1: just like, Okay, yeah, this is like just the next step, 101 00:07:22,080 --> 00:07:24,920 Speaker 1: the next thing I do. But now that it's so close, 102 00:07:25,120 --> 00:07:27,160 Speaker 1: and I saw a picture of my friend getting one 103 00:07:27,160 --> 00:07:32,040 Speaker 1: of the first vaccinations this morning, like I'm I'm so excited. 104 00:07:32,560 --> 00:07:35,480 Speaker 1: And so she went up and they were hosting the 105 00:07:35,480 --> 00:07:40,200 Speaker 1: clinic in the Children's Hospital. And this hospital is right 106 00:07:40,240 --> 00:07:44,320 Speaker 1: across from the University of Iowa's football stadium, and so 107 00:07:44,520 --> 00:07:47,160 Speaker 1: they have this room what they call the press box 108 00:07:47,280 --> 00:07:49,920 Speaker 1: because it's glass and you can see over the football 109 00:07:50,000 --> 00:07:53,320 Speaker 1: field and up there on the twelve floor is where 110 00:07:53,360 --> 00:07:55,840 Speaker 1: they have this clinic. And so she went up there, 111 00:07:55,920 --> 00:07:59,440 Speaker 1: and she said the energy was amazing. You know, people 112 00:07:59,480 --> 00:08:01,840 Speaker 1: weren't as a the really cheering, but it just felt 113 00:08:01,880 --> 00:08:05,920 Speaker 1: like everybody was kind of bouncing and and so excited 114 00:08:05,960 --> 00:08:08,440 Speaker 1: to get This is your vaccination card. You want to 115 00:08:08,440 --> 00:08:10,200 Speaker 1: hang onto your badge because they're gonna have you swipe 116 00:08:10,240 --> 00:08:12,400 Speaker 1: it more time. If you just want to hang out 117 00:08:12,480 --> 00:08:17,680 Speaker 1: right here. That it's interesting too, is that there was 118 00:08:17,720 --> 00:08:20,400 Speaker 1: a lot of security, because of course these are really 119 00:08:20,520 --> 00:08:24,720 Speaker 1: precious products. Right now, there's a security guard standing in 120 00:08:24,800 --> 00:08:27,840 Speaker 1: front of the one elevator that gets you there. You 121 00:08:27,920 --> 00:08:30,880 Speaker 1: had to scam me in and then get into the elevator, 122 00:08:31,360 --> 00:08:33,480 Speaker 1: scan his badge again so I could go up, and 123 00:08:33,520 --> 00:08:36,040 Speaker 1: then you know, there was somebody there who was checking 124 00:08:36,040 --> 00:08:38,319 Speaker 1: off names of people who were expected to get the 125 00:08:38,400 --> 00:08:42,280 Speaker 1: vaccine that day. She arrived a little bit early, and 126 00:08:42,480 --> 00:08:45,280 Speaker 1: people in line were just talking about how excited they were, 127 00:08:45,760 --> 00:08:48,600 Speaker 1: and there were some posters reminding people that just because 128 00:08:48,640 --> 00:08:51,160 Speaker 1: you were vaccinated doesn't mean you can stop wearing your 129 00:08:51,200 --> 00:08:54,760 Speaker 1: mask ppe And there were about two or three stations 130 00:08:54,800 --> 00:08:59,160 Speaker 1: where nursing and medical assistance were administering the vaccines. And 131 00:08:59,240 --> 00:09:01,680 Speaker 1: she sat with her back to the football field and 132 00:09:01,760 --> 00:09:04,080 Speaker 1: she got her shot. She said she didn't even feel 133 00:09:04,080 --> 00:09:11,160 Speaker 1: it go in reference day. I don't care left un that. 134 00:09:11,320 --> 00:09:18,400 Speaker 1: Just a second thing on three, alright, I'll go for it. 135 00:09:18,440 --> 00:09:22,760 Speaker 1: I'm gonna sign your okay, thanks, And then they gave 136 00:09:22,760 --> 00:09:26,119 Speaker 1: her her card, these cards that the CDC is including 137 00:09:26,640 --> 00:09:30,520 Speaker 1: in the supply kits that everyone all of the vaccinators 138 00:09:30,559 --> 00:09:32,600 Speaker 1: are getting. And so she got her card with a 139 00:09:32,640 --> 00:09:36,120 Speaker 1: sticker on it saying which vaccine she got when in 140 00:09:36,160 --> 00:09:38,840 Speaker 1: reminding her to come for her second dose in a 141 00:09:38,880 --> 00:09:42,720 Speaker 1: few weeks. What is the next step for her? How 142 00:09:42,880 --> 00:09:46,280 Speaker 1: does her her work or even her daily life change 143 00:09:46,360 --> 00:09:49,960 Speaker 1: now that she's gotten part one of the vaccine. So 144 00:09:50,000 --> 00:09:52,920 Speaker 1: this vaccine is a two dose vaccine, and so she 145 00:09:52,960 --> 00:09:55,760 Speaker 1: will have to come back in in about three weeks 146 00:09:55,800 --> 00:09:58,360 Speaker 1: to get her second shot. And so far I haven't 147 00:09:58,400 --> 00:10:01,240 Speaker 1: heard her say that she's sket well that next dose. 148 00:10:01,559 --> 00:10:05,120 Speaker 1: And you know, the data from viser suggests that there 149 00:10:05,280 --> 00:10:09,240 Speaker 1: is some protection after the first shot, which is good, 150 00:10:09,280 --> 00:10:12,120 Speaker 1: but it's not nearly as much as that second shot, 151 00:10:12,559 --> 00:10:15,880 Speaker 1: so her life will not change overnight. But you know, 152 00:10:16,000 --> 00:10:20,200 Speaker 1: she is really excited about the possibility of maybe seeing 153 00:10:20,200 --> 00:10:23,839 Speaker 1: her parents after her second shot and returning to some 154 00:10:23,960 --> 00:10:27,040 Speaker 1: sense of normalcy because you know, a lot of healthcare 155 00:10:27,080 --> 00:10:30,760 Speaker 1: workers haven't done much since this all started. She says 156 00:10:30,800 --> 00:10:34,320 Speaker 1: that she's mostly seen just her husband, who she lives with, 157 00:10:34,440 --> 00:10:37,480 Speaker 1: and that's it. And you know, she's been tempted to 158 00:10:37,520 --> 00:10:42,000 Speaker 1: see some friends and and really engage in normal life 159 00:10:42,000 --> 00:10:45,120 Speaker 1: that so many people have resumed. But she hasn't felt 160 00:10:45,120 --> 00:10:48,600 Speaker 1: comfortable doing that given that she sees the sickest of 161 00:10:48,640 --> 00:10:52,640 Speaker 1: the sick patients every day, and so she's excited to 162 00:10:52,640 --> 00:10:57,600 Speaker 1: get some sense of normalcy back. So, as a nurse, 163 00:10:57,760 --> 00:11:00,560 Speaker 1: Titana was among the first received the vaccine, but it 164 00:11:00,800 --> 00:11:03,840 Speaker 1: obviously maybe several months before others can receive it as well. 165 00:11:04,559 --> 00:11:07,719 Speaker 1: What are some of her recommendations for those who may 166 00:11:07,800 --> 00:11:10,480 Speaker 1: have to wait a bit before receiving their own shot. 167 00:11:11,960 --> 00:11:15,760 Speaker 1: You know, her recommendation is that people should really know 168 00:11:16,000 --> 00:11:18,280 Speaker 1: that this virus is real and that they need to 169 00:11:18,320 --> 00:11:22,160 Speaker 1: take it seriously. That we have tried and true measures 170 00:11:22,200 --> 00:11:27,000 Speaker 1: that we know work. Wearing a mask, not attending extended gatherings. 171 00:11:27,400 --> 00:11:29,760 Speaker 1: So these are things that you know, they might feel 172 00:11:29,840 --> 00:11:33,800 Speaker 1: tiring or they might feel worrisome, but you know, she 173 00:11:34,000 --> 00:11:37,600 Speaker 1: herself has seen that since Iowa implemented a mask mandate 174 00:11:38,080 --> 00:11:41,560 Speaker 1: late last month that her own hospital census has started 175 00:11:41,600 --> 00:11:45,040 Speaker 1: going downward. So she just reminds people to be patient 176 00:11:45,280 --> 00:11:49,080 Speaker 1: and do the things we know work. While we're still 177 00:11:49,120 --> 00:11:52,560 Speaker 1: in this period where a very very small number of 178 00:11:52,600 --> 00:11:56,679 Speaker 1: people are vaccinated. I sort of take for granted how 179 00:11:57,520 --> 00:12:00,640 Speaker 1: lucky I am to be getting at this early because 180 00:12:00,760 --> 00:12:06,160 Speaker 1: even other you know, medical facilities don't have vaccines yet. Yeah, 181 00:12:06,200 --> 00:12:10,480 Speaker 1: I just feel really grateful to be where I am 182 00:12:10,920 --> 00:12:15,320 Speaker 1: and to like work for a hospital that protect the 183 00:12:15,400 --> 00:12:19,680 Speaker 1: people that work for them, And I'm just I'm just like, 184 00:12:20,240 --> 00:12:26,680 Speaker 1: for the first time in months, actually hopeful and maybe 185 00:12:26,760 --> 00:12:28,960 Speaker 1: seeing a glimmer of a light at the end of 186 00:12:28,960 --> 00:12:37,400 Speaker 1: the tunnel. That was Angelica Levito. And that's it for 187 00:12:37,440 --> 00:12:39,920 Speaker 1: our show today. For coverage of the outbreak from one 188 00:12:40,280 --> 00:12:43,800 Speaker 1: and twenty bureaus around the world, visit Bloomberg dot com 189 00:12:43,960 --> 00:12:48,040 Speaker 1: slash coronavirus and if you like the show, please leave 190 00:12:48,120 --> 00:12:51,680 Speaker 1: us a review and a rating on Apple Podcasts or Spotify. 191 00:12:52,000 --> 00:12:54,480 Speaker 1: It's the best way to help more listeners find our 192 00:12:54,480 --> 00:12:59,040 Speaker 1: global purporting. The Prognosis Daily edition is produced by tophrah 193 00:12:59,040 --> 00:13:04,880 Speaker 1: foreheads in Gospora, Magnus Henrickson, and me Laura Carlson. Today's 194 00:13:04,920 --> 00:13:09,080 Speaker 1: main story was reported by Angelica Levito. Original music by 195 00:13:09,160 --> 00:13:13,160 Speaker 1: Leo Sedrin. Our editors are Rick Shine and Francesco Levi. 196 00:13:13,720 --> 00:13:18,240 Speaker 1: Francesco Levi is Bloomberg's head of Podcasts. Thanks for listening.