1 00:00:04,480 --> 00:00:09,399 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day fifty five 2 00:00:09,680 --> 00:00:14,360 Speaker 1: since coronavirus was declared a global pandemic. Our main story. 3 00:00:15,320 --> 00:00:19,479 Speaker 1: US states have started to reopen businesses, even as cases 4 00:00:19,520 --> 00:00:23,280 Speaker 1: continue to rise in some places. But a top public 5 00:00:23,320 --> 00:00:27,240 Speaker 1: health expert and former CDC director who warns there may 6 00:00:27,320 --> 00:00:31,440 Speaker 1: never be an effective vaccine, says ramping up the economy 7 00:00:31,480 --> 00:00:37,360 Speaker 1: too soon could have devastating consequences, especially for lower income people. 8 00:00:38,159 --> 00:00:48,839 Speaker 1: But first, here's what happened today. Early forecasts about the 9 00:00:48,840 --> 00:00:52,280 Speaker 1: spread of coronavirus in the US may have been to rosie. 10 00:00:53,360 --> 00:00:57,480 Speaker 1: In an NBC interview, former f DA chief Scott Gottlieb 11 00:00:57,840 --> 00:01:01,600 Speaker 1: said the country has not seen the clients and infections 12 00:01:01,640 --> 00:01:06,160 Speaker 1: that experts predicted. Gottlieb said he had expected by now 13 00:01:06,240 --> 00:01:10,160 Speaker 1: we'd see sustained declines in new cases around the country. 14 00:01:11,200 --> 00:01:15,440 Speaker 1: In fact, cases are actually increasing and around twenty states. 15 00:01:16,800 --> 00:01:20,199 Speaker 1: GOTTLEIEP is one of the advisors giving guidance on reopening 16 00:01:20,240 --> 00:01:23,960 Speaker 1: the economy to President Donald Trump, and he is also 17 00:01:24,000 --> 00:01:29,320 Speaker 1: advising several states. As the virus spreads in different countries, 18 00:01:29,640 --> 00:01:33,440 Speaker 1: it's becoming clear there's no one size fits all solution. 19 00:01:33,520 --> 00:01:38,280 Speaker 1: For containing it. In Sweden, for example, the infection rate 20 00:01:38,280 --> 00:01:41,840 Speaker 1: seems to have stabilized despite the light touch the government 21 00:01:41,840 --> 00:01:45,080 Speaker 1: has taken to locking down the country. But a team 22 00:01:45,160 --> 00:01:48,560 Speaker 1: of Goldman Sachs economists said in a note today that 23 00:01:48,600 --> 00:01:51,520 Speaker 1: we shouldn't view sweden as a model for others to 24 00:01:51,560 --> 00:01:56,240 Speaker 1: emulate the country's decision to keep schools, gyms, bars and 25 00:01:56,280 --> 00:02:00,160 Speaker 1: shops mostly open during the pandemic maybe working for him 26 00:02:00,480 --> 00:02:05,240 Speaker 1: because of uniquely Swedish demographic factors. According to Goldman, it 27 00:02:05,280 --> 00:02:08,960 Speaker 1: has a far lower population density than Italy and a 28 00:02:09,080 --> 00:02:14,560 Speaker 1: high proportion of single occupancy households. Meanwhile, in New York, 29 00:02:14,919 --> 00:02:18,000 Speaker 1: the virus death toll seems to have jumped because of 30 00:02:18,040 --> 00:02:22,440 Speaker 1: some newly revealed numbers. The state is reporting more than 31 00:02:22,560 --> 00:02:28,560 Speaker 1: seventeen hundred previously undisclosed deaths at nursing homes and adult 32 00:02:28,560 --> 00:02:33,160 Speaker 1: care facilities. New York is under scrutiny over how it 33 00:02:33,200 --> 00:02:38,600 Speaker 1: has protected vulnerable residents during the outbreak. Nearly five thousand 34 00:02:38,680 --> 00:02:41,720 Speaker 1: people have died from COVID nineteen in the state's nursing 35 00:02:41,720 --> 00:02:45,400 Speaker 1: homes since March one, according to numbers released by the 36 00:02:45,440 --> 00:02:51,080 Speaker 1: Governor's office late Monday. Exactly how many nursing home residents 37 00:02:51,120 --> 00:02:56,560 Speaker 1: have died remains uncertain despite the state's latest disclosure, as 38 00:02:56,600 --> 00:02:59,960 Speaker 1: the list doesn't include nursing home residents who were trained 39 00:03:00,000 --> 00:03:09,280 Speaker 1: asferred to hospitals before dying and now our main story. 40 00:03:10,880 --> 00:03:13,520 Speaker 1: New Jersey is one of the U S states that's 41 00:03:13,560 --> 00:03:18,320 Speaker 1: worst hit by coronavirus after New York. So when Governor 42 00:03:18,320 --> 00:03:21,560 Speaker 1: Phil Murphy looked for experts to help understand how to 43 00:03:21,600 --> 00:03:26,080 Speaker 1: provide the state's businesses safely, he tapped doctor Richard Besser. 44 00:03:27,280 --> 00:03:29,840 Speaker 1: Dr Besser was the acting director of the Centers for 45 00:03:29,919 --> 00:03:33,000 Speaker 1: Disease Control and Prevention in two thousand nine when the 46 00:03:33,200 --> 00:03:37,640 Speaker 1: H one N one swine flu pandemic broke out. He's 47 00:03:37,640 --> 00:03:41,960 Speaker 1: a physician turned epidemiologist who now runs the Robert Wood 48 00:03:42,040 --> 00:03:48,560 Speaker 1: Johnson Foundation, the philanthropic health organization. Dr Besser's expertise is 49 00:03:48,600 --> 00:03:51,480 Speaker 1: in health equality, and so he has a lot to 50 00:03:51,480 --> 00:03:55,640 Speaker 1: say about a virus that disproportionately affects communities of color 51 00:03:55,960 --> 00:04:01,200 Speaker 1: and low income people. Dr Besser talked with reporter Riley 52 00:04:01,240 --> 00:04:04,880 Speaker 1: Griffin about what happens to those most vulnerable to the 53 00:04:05,000 --> 00:04:12,160 Speaker 1: virus as states begin to relax social distancing rules. I 54 00:04:12,240 --> 00:04:17,680 Speaker 1: bring the perspective of really having learned to make decisions 55 00:04:17,760 --> 00:04:21,040 Speaker 1: during periods of incredible uncertainty. You know, what we know 56 00:04:21,080 --> 00:04:25,880 Speaker 1: about this virus is far exceeded by what we don't 57 00:04:25,920 --> 00:04:30,240 Speaker 1: know in a period of incredible uncertainty. What people want 58 00:04:30,279 --> 00:04:32,880 Speaker 1: a certainty, and that's just the one thing you can't 59 00:04:32,920 --> 00:04:35,680 Speaker 1: give them. You have to you have to be reacting 60 00:04:35,680 --> 00:04:38,679 Speaker 1: to what's going on. Uh. You know, as states try 61 00:04:38,760 --> 00:04:41,599 Speaker 1: things and start to open up parts of their economy, 62 00:04:42,760 --> 00:04:45,919 Speaker 1: do you think there could be ramifications of reopening too 63 00:04:45,920 --> 00:04:50,400 Speaker 1: early in the near future? And most importantly, who would 64 00:04:50,440 --> 00:04:54,320 Speaker 1: be most impacted by that? Well, I think that who 65 00:04:54,360 --> 00:04:58,360 Speaker 1: will who will be most impacted by that are are 66 00:04:58,400 --> 00:05:02,280 Speaker 1: the same groups who have been impacted so hard by 67 00:05:02,279 --> 00:05:06,120 Speaker 1: by the pandemic so far. When you look at at 68 00:05:06,640 --> 00:05:12,800 Speaker 1: death rates, hospitalization rates for Black Americans, Latinos, indigenous people, UM, 69 00:05:12,839 --> 00:05:16,400 Speaker 1: there are two three, even more times their representation in 70 00:05:16,440 --> 00:05:20,160 Speaker 1: the in the population UM. Low income workers tend to 71 00:05:20,200 --> 00:05:24,760 Speaker 1: get hit harder frontline workers. UM. Part of the problem 72 00:05:24,880 --> 00:05:29,640 Speaker 1: is mixed messaging. You're seeing messages that, uh, this is serious, 73 00:05:29,680 --> 00:05:31,080 Speaker 1: we all have to do our part. We have the 74 00:05:31,160 --> 00:05:34,640 Speaker 1: social distance, and then you're hearing politicians say we have 75 00:05:34,720 --> 00:05:38,880 Speaker 1: to get everyone back to work. You it's a challenge 76 00:05:38,960 --> 00:05:41,840 Speaker 1: when the messaging that we're getting, when what the public 77 00:05:41,880 --> 00:05:45,200 Speaker 1: is told to do comes more from politicians and from 78 00:05:45,200 --> 00:05:49,719 Speaker 1: public health leaders. It it at its face leads half 79 00:05:49,720 --> 00:05:52,080 Speaker 1: of the of the public to say, I'm not listening 80 00:05:52,080 --> 00:05:54,360 Speaker 1: to this person because I didn't vote for them, uh, 81 00:05:54,400 --> 00:05:57,680 Speaker 1: and others to say, yeah, I'll support them. But is 82 00:05:57,680 --> 00:06:00,400 Speaker 1: it really based on science. You want you want to 83 00:06:00,440 --> 00:06:04,360 Speaker 1: do all you can to have a response being nonpartisan, 84 00:06:04,920 --> 00:06:08,400 Speaker 1: a political and based on the best available public health science. 85 00:06:08,640 --> 00:06:11,560 Speaker 1: And you think right now the discourse is primarily a 86 00:06:11,600 --> 00:06:15,520 Speaker 1: political one. Well, it's the challenges you can't tell. You 87 00:06:15,600 --> 00:06:18,520 Speaker 1: can't tell what things are are being put forward for 88 00:06:18,640 --> 00:06:21,760 Speaker 1: politics and what things are being put forth for for science. 89 00:06:22,279 --> 00:06:25,559 Speaker 1: You know, they're The other aspect of a pandemic that 90 00:06:25,640 --> 00:06:28,320 Speaker 1: that I bring from my experience at CDC is just 91 00:06:28,360 --> 00:06:32,240 Speaker 1: a recognition that when a pandemic hits, or any new 92 00:06:32,279 --> 00:06:35,720 Speaker 1: emerging infection, it doesn't hit every community at the same 93 00:06:35,800 --> 00:06:38,920 Speaker 1: level at the same time, and so it does make 94 00:06:39,000 --> 00:06:41,240 Speaker 1: sense that different things will take place in different parts 95 00:06:41,279 --> 00:06:43,599 Speaker 1: of the country. But you want each of those things 96 00:06:43,640 --> 00:06:46,520 Speaker 1: to be best based on the best available science. And data, 97 00:06:46,800 --> 00:06:49,400 Speaker 1: and right now we're not even able to get the 98 00:06:49,520 --> 00:06:51,680 Speaker 1: data that we need because we don't have the level 99 00:06:51,720 --> 00:06:55,479 Speaker 1: of testing available. We don't have states providing data broken 100 00:06:55,560 --> 00:06:59,839 Speaker 1: down by race and ethnicity, and gender and disability and income, 101 00:07:00,240 --> 00:07:02,880 Speaker 1: so that you even have the ability to see who 102 00:07:02,880 --> 00:07:05,640 Speaker 1: in your community may be doing fine and who in 103 00:07:05,680 --> 00:07:13,400 Speaker 1: your community is really struggling. What can the government do 104 00:07:13,480 --> 00:07:16,120 Speaker 1: to alleviate some of those discrepancies at the state level 105 00:07:16,200 --> 00:07:18,920 Speaker 1: and help inform decisions that are made at the state level. 106 00:07:19,320 --> 00:07:22,920 Speaker 1: It's really important to have standards in place that protect 107 00:07:22,960 --> 00:07:26,800 Speaker 1: workers UM or those or or workers are really going 108 00:07:26,880 --> 00:07:31,800 Speaker 1: to pay the price for for that reopening. UH. What 109 00:07:31,840 --> 00:07:34,320 Speaker 1: you'd really like to see is the c d C, 110 00:07:35,120 --> 00:07:38,119 Speaker 1: through NIOSH, which is the National Institute of Occupational Safety 111 00:07:38,160 --> 00:07:41,640 Speaker 1: and Health, and OSHA, which is in the Department of Labor, 112 00:07:42,200 --> 00:07:46,800 Speaker 1: coming together to develop not voluntary standards, but mandatory standards 113 00:07:46,800 --> 00:07:50,040 Speaker 1: for for each sector. Having federal standards that can be 114 00:07:50,080 --> 00:07:54,720 Speaker 1: adopted UM and adapted locally makes a lot more sense 115 00:07:54,760 --> 00:07:57,840 Speaker 1: and leads to more trust that things are being done 116 00:07:58,560 --> 00:08:02,600 Speaker 1: based on on good science, based on principles of of 117 00:08:02,600 --> 00:08:05,920 Speaker 1: of safety first UM. Right now, it's a little challenging 118 00:08:05,960 --> 00:08:08,560 Speaker 1: to to know how all the decisions are being made. 119 00:08:09,040 --> 00:08:13,760 Speaker 1: Following two thousand nine, after you had this experience navigating 120 00:08:14,000 --> 00:08:17,640 Speaker 1: the swine flu, were there certain recommendations that you made, 121 00:08:18,400 --> 00:08:22,760 Speaker 1: UM or others made to help prepare health agencies moving 122 00:08:22,840 --> 00:08:28,000 Speaker 1: forward in anticipation of other pandemics. Well, I I left 123 00:08:28,000 --> 00:08:32,360 Speaker 1: c d C a few months into the swine flu pandemic, 124 00:08:32,679 --> 00:08:35,680 Speaker 1: and so um I wasn't there for those recommendations. But 125 00:08:35,679 --> 00:08:38,120 Speaker 1: I can tell you I I started my job as 126 00:08:38,160 --> 00:08:40,840 Speaker 1: head of emergency prepared to some response the day Katrina 127 00:08:40,920 --> 00:08:44,440 Speaker 1: hit New Orleans, and so I was very involved in 128 00:08:44,480 --> 00:08:49,120 Speaker 1: that response and very involved in the post Katrina commissions 129 00:08:49,160 --> 00:08:52,320 Speaker 1: and reports, and they all said the same thing, that 130 00:08:52,440 --> 00:08:56,160 Speaker 1: we were not prepared for a hurricane of that magnitude, 131 00:08:56,240 --> 00:08:59,559 Speaker 1: that we weren't prepared for the wide array of public 132 00:08:59,600 --> 00:09:02,120 Speaker 1: health and agencies that could hit our our country, That 133 00:09:02,200 --> 00:09:06,240 Speaker 1: we had to invest more in public health, in our 134 00:09:06,280 --> 00:09:11,280 Speaker 1: public health system, in emergency preparedness and response, and we 135 00:09:11,400 --> 00:09:15,120 Speaker 1: dropped the ball, as we have time and time again. 136 00:09:15,400 --> 00:09:20,160 Speaker 1: Drug makers are certainly already building and buying infrastructure to 137 00:09:20,200 --> 00:09:23,720 Speaker 1: be able to manufacture hundreds of millions of doses of 138 00:09:23,760 --> 00:09:27,960 Speaker 1: a vaccine. What are your personal hopes for a vaccine, 139 00:09:28,000 --> 00:09:30,360 Speaker 1: and how long do you think until we have one 140 00:09:30,520 --> 00:09:34,840 Speaker 1: easily accessible across the board for the public. You know, 141 00:09:34,920 --> 00:09:38,920 Speaker 1: I I think it's terrific that there is such a 142 00:09:39,040 --> 00:09:43,400 Speaker 1: push to develop a vaccine, to develop treatments for the 143 00:09:43,480 --> 00:09:48,000 Speaker 1: virus itself. UM. It's great that there's now an antiviral 144 00:09:48,080 --> 00:09:53,840 Speaker 1: that's showing some some effect against the coronavirus UM. When 145 00:09:53,840 --> 00:09:59,360 Speaker 1: it comes to vaccine, I worry that people assume we 146 00:09:59,480 --> 00:10:02,680 Speaker 1: definitely will have a vaccine. All of the efforts that 147 00:10:02,720 --> 00:10:05,800 Speaker 1: are going on are terrific, but there's no guarantee that 148 00:10:05,840 --> 00:10:08,920 Speaker 1: we will ever see a vaccine for coronavirus. There's quite 149 00:10:08,920 --> 00:10:11,760 Speaker 1: a number of viruses where researchers have been working for 150 00:10:11,840 --> 00:10:15,120 Speaker 1: decades and haven't been able to develop a safe and 151 00:10:15,160 --> 00:10:19,800 Speaker 1: effective vaccine. HIV, danky fever, those are two. Those are 152 00:10:19,800 --> 00:10:22,640 Speaker 1: two where the efforts have been there and they just 153 00:10:22,760 --> 00:10:26,080 Speaker 1: haven't produced something that was both safe and effective. I'm 154 00:10:26,120 --> 00:10:28,200 Speaker 1: hopeful that these efforts will pay off, but we have 155 00:10:28,320 --> 00:10:35,880 Speaker 1: to be planning for both scenarios. What do we do 156 00:10:35,960 --> 00:10:38,320 Speaker 1: to ensure that your income or the color of your 157 00:10:38,320 --> 00:10:41,120 Speaker 1: skin doesn't determine whether you get a vaccine? If you 158 00:10:41,160 --> 00:10:44,840 Speaker 1: look over history, Uh, that's been the case. And so 159 00:10:45,440 --> 00:10:47,720 Speaker 1: you know, domestically in the US, how do we ensure 160 00:10:47,840 --> 00:10:51,560 Speaker 1: that everyone has has fair access to that vaccine? And 161 00:10:51,559 --> 00:10:55,000 Speaker 1: then globally, how do we ensure that the vaccines are 162 00:10:55,000 --> 00:10:58,160 Speaker 1: not just for the wealthiest nations. I think it's much 163 00:10:58,200 --> 00:11:00,760 Speaker 1: more likely that we will see more rugs to treat 164 00:11:00,800 --> 00:11:03,240 Speaker 1: the virus in the short term, then then we'll see 165 00:11:03,760 --> 00:11:08,479 Speaker 1: a vaccine. Everybody wants to get that sense of certainty 166 00:11:08,679 --> 00:11:12,439 Speaker 1: that that you're addressing is missing. It's the first question 167 00:11:12,480 --> 00:11:14,840 Speaker 1: I get every day, and I imagine it's one you 168 00:11:14,880 --> 00:11:18,640 Speaker 1: get most frequently. What what's the timeline look like? Are 169 00:11:18,679 --> 00:11:25,160 Speaker 1: you able to provide some kind of general idea of 170 00:11:25,160 --> 00:11:28,160 Speaker 1: when you think we will return to some subblance of 171 00:11:28,200 --> 00:11:32,280 Speaker 1: normalcy or are we too far from that question? If 172 00:11:32,320 --> 00:11:35,880 Speaker 1: there isn't widespread available availability of treatment or a vaccine, 173 00:11:36,240 --> 00:11:39,240 Speaker 1: then you have to envision some form of social distancing, 174 00:11:39,840 --> 00:11:43,920 Speaker 1: uh continuing for an extended period of time. Yeah, you 175 00:11:43,960 --> 00:11:48,200 Speaker 1: know we're talking years. We're not talking months until the 176 00:11:48,320 --> 00:11:53,720 Speaker 1: virus mutates or changes or or Uh there's there is 177 00:11:53,760 --> 00:11:57,080 Speaker 1: immunity in the community, herd immunity that develops UM but 178 00:11:57,200 --> 00:11:59,760 Speaker 1: that's that sense of uncertainty that we were talking about earlier, 179 00:11:59,800 --> 00:12:03,000 Speaker 1: is it um? You know? Dr Fauci said it really 180 00:12:03,000 --> 00:12:05,400 Speaker 1: well a couple of months ago, that we don't we 181 00:12:05,480 --> 00:12:09,079 Speaker 1: don't determine the timeline here. The virus does, and we can't. 182 00:12:09,080 --> 00:12:11,760 Speaker 1: We can't fully predict what this virus will do as 183 00:12:11,800 --> 00:12:15,280 Speaker 1: the weather gets warmer over the summer. We can't predict 184 00:12:16,000 --> 00:12:19,199 Speaker 1: what will happen this fall, whether it comes back stronger, 185 00:12:19,400 --> 00:12:22,439 Speaker 1: whether it hits hard during flu season. These are things. 186 00:12:22,640 --> 00:12:25,040 Speaker 1: These are all different scenarios we need to be thinking 187 00:12:25,080 --> 00:12:30,360 Speaker 1: about planning for so that which ever one comes to fruition, 188 00:12:30,800 --> 00:12:34,160 Speaker 1: we will have done the legwork to be ready. Where 189 00:12:34,200 --> 00:12:37,360 Speaker 1: do you see the role of philanthropy right now? You know, 190 00:12:37,400 --> 00:12:40,360 Speaker 1: as as the public sector the private sector, they're looking 191 00:12:40,400 --> 00:12:45,120 Speaker 1: to expedite the drug and vaccine development process. But what 192 00:12:45,360 --> 00:12:49,920 Speaker 1: can foundations like the Robert Wood Johnson Foundation and others, 193 00:12:50,360 --> 00:12:54,360 Speaker 1: even individual philanthropists, what can they do right now? We 194 00:12:55,240 --> 00:12:58,160 Speaker 1: very quickly, we we put out some money for humanitarian 195 00:12:58,200 --> 00:13:02,400 Speaker 1: aid fifty million dollars to to target groups that were 196 00:13:02,440 --> 00:13:07,640 Speaker 1: being hit particularly hard here, uh, people of color, Indigenous people, 197 00:13:07,679 --> 00:13:12,240 Speaker 1: people with disabilities, domestic workers, groups that that we're falling 198 00:13:12,280 --> 00:13:15,400 Speaker 1: through the cracks in a lot of the federal relief 199 00:13:15,440 --> 00:13:19,440 Speaker 1: that was coming forward. Um, that's not our normal approach 200 00:13:19,600 --> 00:13:23,640 Speaker 1: humanitarian assistance. UM. We take a longer term view, and 201 00:13:23,679 --> 00:13:27,120 Speaker 1: we're working to help change how people think about health. 202 00:13:27,400 --> 00:13:30,320 Speaker 1: So it's uh, it's not just about having access to 203 00:13:30,480 --> 00:13:33,439 Speaker 1: health care. You need that, and twenty eight million people 204 00:13:33,440 --> 00:13:36,360 Speaker 1: don't have health insurance in America. But health is about 205 00:13:36,400 --> 00:13:39,280 Speaker 1: the conditions in which we live in our communities. It's 206 00:13:39,280 --> 00:13:41,840 Speaker 1: where we live and where our kids go to school, 207 00:13:42,120 --> 00:13:45,800 Speaker 1: and and where we work, and and having access to 208 00:13:46,400 --> 00:13:50,720 Speaker 1: to to high quality food in places to play. One 209 00:13:50,720 --> 00:13:52,880 Speaker 1: thing about pandemics over the course of history is that 210 00:13:52,920 --> 00:13:56,960 Speaker 1: they have frequently led to reshaping of society. So we 211 00:13:57,040 --> 00:13:59,480 Speaker 1: have the opportunity to say, what kind of America do 212 00:13:59,559 --> 00:14:02,360 Speaker 1: we want to see? Do we want an American which 213 00:14:02,520 --> 00:14:06,360 Speaker 1: people truly have have that opportunity for an American dream, 214 00:14:06,480 --> 00:14:10,480 Speaker 1: which which is is purely aspirational at this point, or 215 00:14:10,520 --> 00:14:13,080 Speaker 1: do we want to continue to have in America where 216 00:14:13,080 --> 00:14:15,360 Speaker 1: how much wealth you have, how much income, where the 217 00:14:15,440 --> 00:14:18,600 Speaker 1: color of your skin determines how long you live. That's 218 00:14:18,600 --> 00:14:21,400 Speaker 1: the way it was coming into this pandemic. I live 219 00:14:21,440 --> 00:14:24,200 Speaker 1: in Princeton, New Jersey, where life expectancy at birth is 220 00:14:24,240 --> 00:14:28,880 Speaker 1: eighty seven years. I volunteer as a pediatrician in a 221 00:14:28,880 --> 00:14:31,840 Speaker 1: clinic in Trenton, which is in the same county. It's 222 00:14:31,840 --> 00:14:35,120 Speaker 1: fourteen miles away, and children born there have a life 223 00:14:35,120 --> 00:14:39,040 Speaker 1: expectancy of seventy three years, So fourteen miles and a 224 00:14:39,120 --> 00:14:43,200 Speaker 1: fifteen year different. Fourteen year difference in life expectancy. How 225 00:14:43,240 --> 00:14:46,000 Speaker 1: can we accept that as a society. So we're working 226 00:14:46,000 --> 00:14:49,120 Speaker 1: to lift up policy changes that could make a difference, 227 00:14:49,520 --> 00:14:52,560 Speaker 1: not just during this crisis, but for the America we 228 00:14:52,600 --> 00:14:59,720 Speaker 1: believe we should have. That was Bloomberg's Riley Griffin, And 229 00:14:59,760 --> 00:15:02,760 Speaker 1: that's our show today. For coverage of the outbreak from 230 00:15:02,800 --> 00:15:07,560 Speaker 1: one bureaus around the world, visit Bloomberg dot com slash 231 00:15:07,600 --> 00:15:12,000 Speaker 1: coronavirus and if you like the show, please leave us 232 00:15:12,000 --> 00:15:15,320 Speaker 1: a review and a rating on Apple Podcasts or Spotify. 233 00:15:16,080 --> 00:15:18,720 Speaker 1: It's the best way to help more listeners find our 234 00:15:18,720 --> 00:15:23,160 Speaker 1: global reporting. The Prognosis Daily edition is hosted by me 235 00:15:23,680 --> 00:15:27,360 Speaker 1: Laura Carlson. The show is produced by Me Tophor Forehead, 236 00:15:27,680 --> 00:15:32,760 Speaker 1: Jordan goas Pure and Magnus Hendrickson. Today's main story was 237 00:15:32,800 --> 00:15:38,440 Speaker 1: reported by Riley Griffin, original music by Leo Sidrin. Our 238 00:15:38,600 --> 00:15:43,680 Speaker 1: editors are Francesca Levi and Rick Shine. Francesco Levi is 239 00:15:43,680 --> 00:16:00,240 Speaker 1: Bloomberg's head of podcasts. Thanks for listening one