1 00:00:07,120 --> 00:00:12,119 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day twenty four 2 00:00:12,320 --> 00:00:18,000 Speaker 1: since coronavirus was declared a global pandemic. Today, Germany has 3 00:00:18,079 --> 00:00:21,520 Speaker 1: been seen as having a model government response to the pandemic. 4 00:00:22,360 --> 00:00:25,200 Speaker 1: Some have compared it to countries like Italy, where the 5 00:00:25,280 --> 00:00:29,200 Speaker 1: virus spread like wildfire after governments took too long to act, 6 00:00:30,280 --> 00:00:35,040 Speaker 1: but that comparison may be unfair and Germany's fate may 7 00:00:35,080 --> 00:00:41,200 Speaker 1: be about to change. But first, here's what happened today. 8 00:00:49,960 --> 00:00:53,640 Speaker 1: How Speaker Nancy Pelosi scaled back her ambitions for Congress's 9 00:00:53,760 --> 00:00:58,120 Speaker 1: next coronavirus stimulus package. She wants to focus on making 10 00:00:58,120 --> 00:01:02,080 Speaker 1: more direct payments to individual and expanding loans to businesses. 11 00:01:02,800 --> 00:01:06,360 Speaker 1: On CNN today, she said she still cared about infrastructure, 12 00:01:06,560 --> 00:01:10,319 Speaker 1: but would possibly leave that and other democratic priorities for 13 00:01:10,400 --> 00:01:14,759 Speaker 1: a later bill. Pelosi said the three and fifty billion 14 00:01:14,800 --> 00:01:17,680 Speaker 1: dollars in the last stimulus meant to keep small business 15 00:01:17,720 --> 00:01:21,679 Speaker 1: afloat for two months won't be enough. She also said 16 00:01:21,680 --> 00:01:25,399 Speaker 1: people would need an extension of the expanded unemployment benefits 17 00:01:25,720 --> 00:01:29,640 Speaker 1: after data showed an unprecedented wave of new unemployment claims 18 00:01:29,800 --> 00:01:31,880 Speaker 1: in the last two weeks. So I'd like to go 19 00:01:32,040 --> 00:01:34,240 Speaker 1: right back and say, let's look at that bill, let's 20 00:01:34,520 --> 00:01:37,160 Speaker 1: update it for what with some other things that we need, 21 00:01:37,680 --> 00:01:40,760 Speaker 1: and again put money in the pockets of the American people, 22 00:01:41,080 --> 00:01:45,840 Speaker 1: another direct payment extending we had unemployment at six months 23 00:01:45,840 --> 00:01:48,400 Speaker 1: in our bill, it's four. Let's take it to six 24 00:01:48,440 --> 00:01:52,640 Speaker 1: for the unemployment so that people have that confidence. US 25 00:01:52,720 --> 00:01:56,600 Speaker 1: employment plunged last month, offering a first look at the 26 00:01:56,640 --> 00:02:00,920 Speaker 1: devastation the coronavirus pandemic has already been on trek on 27 00:02:01,000 --> 00:02:05,440 Speaker 1: the once strong labor market. Pay Rolls fell seven and 28 00:02:05,480 --> 00:02:09,000 Speaker 1: one thousand from the prior month, according to the Labor Department. 29 00:02:09,919 --> 00:02:13,480 Speaker 1: That data mainly covers the early part of March, before 30 00:02:13,560 --> 00:02:18,000 Speaker 1: widespread shutdowns forced firms to lay off millions more workers. 31 00:02:19,560 --> 00:02:23,240 Speaker 1: The jobless rate jumped to four point four, the highest since. 32 00:02:25,320 --> 00:02:28,720 Speaker 1: Economists say it will surge above ten in the coming months. 33 00:02:31,080 --> 00:02:34,919 Speaker 1: The US is expected to suggest Americans consider wearing face 34 00:02:34,960 --> 00:02:38,720 Speaker 1: coverings in public. That's a shift from what health officials 35 00:02:38,760 --> 00:02:43,680 Speaker 1: had previously recommended. Along with some other countries, US authorities 36 00:02:43,720 --> 00:02:48,080 Speaker 1: had discouraged anyone outside of hospitals from wearing masks, but 37 00:02:48,320 --> 00:02:54,640 Speaker 1: more and more officials are reconsidering that guidance. Doctor Anthony Faucci, 38 00:02:54,960 --> 00:02:58,160 Speaker 1: the top infectious disease expert in the US, said on 39 00:02:58,240 --> 00:03:02,280 Speaker 1: Fox News Friday that asks can help when people are 40 00:03:02,360 --> 00:03:05,120 Speaker 1: unable to keep six feet of distance from each other 41 00:03:05,800 --> 00:03:09,160 Speaker 1: with certain necessities of life, going out to get food, 42 00:03:09,600 --> 00:03:12,679 Speaker 1: while going to a pharmacy to get your medications, that 43 00:03:12,720 --> 00:03:16,520 Speaker 1: you may inadvertently come into closer contact. Because of that, 44 00:03:16,639 --> 00:03:20,679 Speaker 1: and because of some recent information that the virus can 45 00:03:20,720 --> 00:03:25,320 Speaker 1: actually be spread even when people just speak, as opposed 46 00:03:25,560 --> 00:03:29,240 Speaker 1: to coughing and sneezing, the better part of valor is 47 00:03:29,280 --> 00:03:32,400 Speaker 1: that when you're out and you can't maintain that six 48 00:03:32,440 --> 00:03:38,920 Speaker 1: foot distance, to wear some sort of facial covering. In Europe, 49 00:03:39,160 --> 00:03:43,000 Speaker 1: Spain reported the first decline in new coronavirus fatalities in 50 00:03:43,040 --> 00:03:46,800 Speaker 1: four days, while the UK had its deadliest day yet. 51 00:03:47,560 --> 00:03:51,840 Speaker 1: Germany's Angela Merkel ended her self quarantine, while UK Prime 52 00:03:51,840 --> 00:03:55,680 Speaker 1: Minister Boris Johnson still has symptoms and will continue to 53 00:03:55,720 --> 00:04:01,000 Speaker 1: self isolate. The city state of Singapore will shutter schools 54 00:04:01,000 --> 00:04:04,520 Speaker 1: and most workplaces, shifting away from an approach that limited 55 00:04:04,560 --> 00:04:09,160 Speaker 1: interruptions to daily life and commerce. That's after confirmed cases 56 00:04:09,200 --> 00:04:13,360 Speaker 1: of local transmission and unlinked infections in the country rose 57 00:04:13,520 --> 00:04:26,760 Speaker 1: in recent weeks. Now to today's main story, Italy has 58 00:04:26,760 --> 00:04:30,600 Speaker 1: been among the hardest hit countries by the pandemic, an 59 00:04:30,640 --> 00:04:35,120 Speaker 1: outbreak epicenter. Italy's cases are at nearly one twenty thousand, 60 00:04:35,400 --> 00:04:38,640 Speaker 1: with over fourteen thousand deaths as of Friday, April three. 61 00:04:39,920 --> 00:04:43,679 Speaker 1: In recent weeks, Italy's mortality rate from coronavirus had reached 62 00:04:43,720 --> 00:04:47,839 Speaker 1: as high as nine point five it sobering evidence of 63 00:04:47,880 --> 00:04:51,719 Speaker 1: how deadly the virus can be. And yet just to 64 00:04:51,760 --> 00:04:55,000 Speaker 1: the north, Germany seemed like it was escaping the worst 65 00:04:55,000 --> 00:04:59,159 Speaker 1: of the outbreak by enacting widespread testing and taking the 66 00:04:59,240 --> 00:05:04,560 Speaker 1: virus serious lee Earlier, with few cases and until recently 67 00:05:04,760 --> 00:05:08,960 Speaker 1: a mortality rate that hovered under one percent, Germany appeared 68 00:05:09,000 --> 00:05:12,000 Speaker 1: to be a model of how to successfully navigate the crisis. 69 00:05:13,200 --> 00:05:16,919 Speaker 1: Of course, the US now has more than double Italy's cases, 70 00:05:17,520 --> 00:05:21,280 Speaker 1: and experts predict the country will see hundreds of thousands 71 00:05:21,320 --> 00:05:26,320 Speaker 1: of deaths before the pandemic subsides. Many have wondered whether 72 00:05:26,360 --> 00:05:29,720 Speaker 1: the US could have escaped in Italy like fate if 73 00:05:29,760 --> 00:05:34,520 Speaker 1: it followed measures similar to Germany, But now there's some 74 00:05:34,600 --> 00:05:37,920 Speaker 1: doubt about whether Germany is really a COVID nineteen success 75 00:05:37,960 --> 00:05:42,880 Speaker 1: story compared to Italy's cautionary tale. Over the last week, 76 00:05:43,120 --> 00:05:47,359 Speaker 1: Germany's mortality rate from the virus has crept higher, a 77 00:05:47,480 --> 00:05:51,520 Speaker 1: troubling indicator that the country may not have evaded serious 78 00:05:51,680 --> 00:05:56,120 Speaker 1: trouble yet. To understand how the virus is affecting different 79 00:05:56,120 --> 00:06:00,520 Speaker 1: European countries, I recently spoke with Bloomberg's Naomi Kreski from 80 00:06:00,520 --> 00:06:04,920 Speaker 1: my makeshift home studio in Toronto. Naomi is in Germany, 81 00:06:04,960 --> 00:06:07,240 Speaker 1: where you can hear the sounds of family life in 82 00:06:07,279 --> 00:06:15,640 Speaker 1: the background, from under a blanket in Canada to under 83 00:06:15,640 --> 00:06:18,440 Speaker 1: a blanket in Germany. Naomi, thank you for joining us. 84 00:06:19,000 --> 00:06:22,360 Speaker 1: What I really wanted to dig in here is about 85 00:06:22,400 --> 00:06:26,560 Speaker 1: these what looked like very startling differences among countries in 86 00:06:26,640 --> 00:06:30,120 Speaker 1: terms of cases and of course death rates in Europe. 87 00:06:30,360 --> 00:06:34,480 Speaker 1: I think the major examples have been Italy versus Germany. 88 00:06:34,560 --> 00:06:37,040 Speaker 1: Why do you think the death rates in Germany and 89 00:06:37,120 --> 00:06:41,679 Speaker 1: Italy are are so different? To some extent In Germany, 90 00:06:41,800 --> 00:06:45,480 Speaker 1: what we're seeing here is the effect of broad, broad 91 00:06:45,600 --> 00:06:49,720 Speaker 1: testing that the German government has done. They are now 92 00:06:49,960 --> 00:06:55,480 Speaker 1: testing some fifty thousand people a day for coronavirus. They're 93 00:06:55,560 --> 00:06:58,280 Speaker 1: they're going out and they're testing people who are not 94 00:06:58,360 --> 00:07:01,120 Speaker 1: that sick, people who are not showing up at the 95 00:07:01,160 --> 00:07:05,520 Speaker 1: hospital because they're very ill. Um they're following sort of 96 00:07:05,600 --> 00:07:10,640 Speaker 1: chains of disease and by finding the people who have 97 00:07:10,680 --> 00:07:13,920 Speaker 1: been in contact with people who were sick with coronavirus 98 00:07:13,960 --> 00:07:16,280 Speaker 1: and testing them if they show any symptoms at all. 99 00:07:16,640 --> 00:07:19,200 Speaker 1: And so partly as a result of that, you have 100 00:07:19,320 --> 00:07:22,920 Speaker 1: an age curve in Germany that just looks totally different 101 00:07:23,320 --> 00:07:26,600 Speaker 1: than the age curve of people who have the virus 102 00:07:27,120 --> 00:07:30,600 Speaker 1: in Italy or also in Spain, which is another place 103 00:07:30,640 --> 00:07:34,520 Speaker 1: in Europe that has had a tremendous number of people 104 00:07:34,600 --> 00:07:39,160 Speaker 1: die from coronavirus. You raised two really important points there, 105 00:07:39,160 --> 00:07:42,600 Speaker 1: and that it is a testing question and there is 106 00:07:42,760 --> 00:07:45,800 Speaker 1: at least a demographic and age demographic to consider there. 107 00:07:46,240 --> 00:07:51,080 Speaker 1: So I'm wondering, is this explained at all by how 108 00:07:51,920 --> 00:07:57,200 Speaker 1: generations lived together actually in Germany versus Italy. Yeah, that's 109 00:07:57,240 --> 00:08:01,880 Speaker 1: a super interesting question. So they're actually some academics who 110 00:08:01,920 --> 00:08:04,600 Speaker 1: have already started looking at at this and trying to 111 00:08:04,640 --> 00:08:08,360 Speaker 1: find some correlations, and they're just correlations at this point. 112 00:08:08,400 --> 00:08:11,760 Speaker 1: We don't know for sure, but what we can say 113 00:08:12,000 --> 00:08:16,320 Speaker 1: is that more than of Italians between the ages of 114 00:08:16,400 --> 00:08:20,320 Speaker 1: thirty and forty nine, so sort of prime time to 115 00:08:20,520 --> 00:08:25,160 Speaker 1: be traveling, picking up the virus from somewhere out, you know, 116 00:08:25,640 --> 00:08:31,360 Speaker 1: meeting people UM getting germs. More than of these people 117 00:08:31,800 --> 00:08:35,240 Speaker 1: live with their parents, and that is more than double 118 00:08:35,280 --> 00:08:38,719 Speaker 1: the rate for Germans in that same age bracket. So 119 00:08:38,760 --> 00:08:42,520 Speaker 1: a pair of economists from Bond University actually looked at 120 00:08:42,559 --> 00:08:47,360 Speaker 1: this and found a correlation between generations living under one 121 00:08:47,480 --> 00:08:52,600 Speaker 1: roof and case fatality for coronavirus. What what are if 122 00:08:52,679 --> 00:08:57,160 Speaker 1: any lessons we can take from the Germany and Italy examples, Well, 123 00:08:57,280 --> 00:09:01,760 Speaker 1: sort of a twofold lesson UM. On the one hand, 124 00:09:02,040 --> 00:09:05,920 Speaker 1: Um the the economists who are looking at this, and 125 00:09:06,280 --> 00:09:11,320 Speaker 1: they suggested that in countries where this kind of multi 126 00:09:11,400 --> 00:09:15,360 Speaker 1: generational living is common, so in Europe that would be 127 00:09:15,400 --> 00:09:20,880 Speaker 1: places like Greece or bulk Area, Poland Serbia, places where 128 00:09:20,920 --> 00:09:23,840 Speaker 1: families often share a house or share an apartment, that 129 00:09:23,960 --> 00:09:28,440 Speaker 1: these countries should move swiftly to protect the elderly. Some 130 00:09:28,640 --> 00:09:31,680 Speaker 1: countries have spoken about school closures as one way to 131 00:09:31,679 --> 00:09:35,080 Speaker 1: do this. If you can prevent um children from passing 132 00:09:35,080 --> 00:09:37,080 Speaker 1: it among themselves and then taking it home and passing 133 00:09:37,120 --> 00:09:41,319 Speaker 1: it to their to to their older relatives. The second 134 00:09:41,400 --> 00:09:44,880 Speaker 1: thing to to maybe look at in this context is 135 00:09:45,400 --> 00:09:49,079 Speaker 1: um for countries where elderly people are not living together 136 00:09:49,160 --> 00:09:52,320 Speaker 1: with their families. UM. But this is one reason why 137 00:09:52,600 --> 00:09:56,000 Speaker 1: nursing homes, for example in in the US have closed 138 00:09:56,000 --> 00:09:58,600 Speaker 1: down their visiting hours, have said that families can't come 139 00:09:58,600 --> 00:10:02,120 Speaker 1: and visit older frail p bowl and are you know, 140 00:10:02,200 --> 00:10:04,760 Speaker 1: taking people's temperature at the door when they come in 141 00:10:05,080 --> 00:10:07,719 Speaker 1: and testing workers on a day to day basis just 142 00:10:07,760 --> 00:10:11,840 Speaker 1: this effort to try to prevent the virus from sort 143 00:10:11,840 --> 00:10:21,520 Speaker 1: of being unleashed among this really frail population. Early on 144 00:10:21,600 --> 00:10:23,920 Speaker 1: it looked like Germany was really going to escape this thing, 145 00:10:24,120 --> 00:10:28,240 Speaker 1: and and Italy was almost immediately hit hard and became 146 00:10:28,840 --> 00:10:33,280 Speaker 1: one of these epicenters of the global outbreak. How has 147 00:10:33,440 --> 00:10:37,480 Speaker 1: that perception perhaps changed in the last week, UM, Is 148 00:10:37,559 --> 00:10:40,680 Speaker 1: it's still that we're looking to Germany to say, Okay, 149 00:10:40,679 --> 00:10:42,640 Speaker 1: there are a model that we can imitate in some 150 00:10:42,720 --> 00:10:46,800 Speaker 1: way to hopefully tamp down the curve, and what can 151 00:10:46,880 --> 00:10:51,840 Speaker 1: we avoid doing using Italy as perhaps a warning example? 152 00:10:52,280 --> 00:10:55,560 Speaker 1: Is that still the case? From the beginning, public health 153 00:10:55,600 --> 00:10:59,360 Speaker 1: authorities in Germany warned that the death rate here would 154 00:10:59,400 --> 00:11:03,680 Speaker 1: also rise, and part of that has to do with 155 00:11:04,200 --> 00:11:08,840 Speaker 1: as time goes by, younger people, people who are more 156 00:11:08,920 --> 00:11:13,360 Speaker 1: healthy who have the virus. Unfortunately, as time goes by, 157 00:11:13,440 --> 00:11:16,480 Speaker 1: the weeks go on, they can tip over to a 158 00:11:16,480 --> 00:11:20,440 Speaker 1: point where they are also sick enough to also pass away. 159 00:11:20,600 --> 00:11:23,600 Speaker 1: And we've seen that start to happen in Germany in 160 00:11:23,600 --> 00:11:27,160 Speaker 1: the last week or so, the first deaths of really 161 00:11:27,600 --> 00:11:31,560 Speaker 1: young people as well. Um, although one should say the 162 00:11:31,640 --> 00:11:35,920 Speaker 1: vast majority, um more than of deaths in Germany are 163 00:11:35,920 --> 00:11:40,360 Speaker 1: still people ages seventy and over. And and the other 164 00:11:40,480 --> 00:11:43,240 Speaker 1: thing that we're seeing happen in Germany now in the 165 00:11:43,280 --> 00:11:45,959 Speaker 1: past week is that the death rate is creeping up. 166 00:11:46,320 --> 00:11:49,600 Speaker 1: And part of that is that the virus has now 167 00:11:49,760 --> 00:11:53,720 Speaker 1: popped up in some senior living facilities, in some nursing homes, 168 00:11:54,160 --> 00:11:58,040 Speaker 1: and they are seeing a high mortality of people who 169 00:11:58,080 --> 00:12:01,760 Speaker 1: have gotten the virus in those facilities. So it sounds like, 170 00:12:02,120 --> 00:12:04,640 Speaker 1: you know, we we may have once looked to Germany 171 00:12:04,679 --> 00:12:07,439 Speaker 1: to say, what can we emulate around the world to 172 00:12:07,600 --> 00:12:11,520 Speaker 1: maybe avoid the hardest elements of this crisis, But it 173 00:12:11,640 --> 00:12:14,800 Speaker 1: may just simply be they were maybe a little delayed 174 00:12:14,880 --> 00:12:17,959 Speaker 1: and maybe facing the same issues as as everyone else. 175 00:12:18,679 --> 00:12:21,560 Speaker 1: I think we'll really see in the next week or two, 176 00:12:22,080 --> 00:12:25,480 Speaker 1: whether it was purely an issue of delay or whether 177 00:12:25,520 --> 00:12:29,959 Speaker 1: there is a deeper thing that we can learn um 178 00:12:30,000 --> 00:12:32,080 Speaker 1: And so often you learn what you can learn after 179 00:12:32,160 --> 00:12:35,360 Speaker 1: it's already too late to learn it right. But you know, 180 00:12:35,400 --> 00:12:38,440 Speaker 1: we'll see how high the death rate does creep and 181 00:12:38,640 --> 00:12:41,319 Speaker 1: whether it was just an issue of delay or whether 182 00:12:41,360 --> 00:12:45,240 Speaker 1: they were able to sidesteps some of these really high 183 00:12:45,280 --> 00:12:53,600 Speaker 1: death rates that we've seen. That's it for the Prognosis 184 00:12:53,640 --> 00:12:57,120 Speaker 1: Daily Edition. For more on the coronavirus crisis from a 185 00:12:57,200 --> 00:13:00,680 Speaker 1: hundred and twenty bureaus around the world, visit Blueberg dot 186 00:13:00,679 --> 00:13:05,719 Speaker 1: com slash coronavirus. If you appreciate the podcast, please take 187 00:13:05,760 --> 00:13:07,720 Speaker 1: a moment to rate us and leave us a review 188 00:13:07,800 --> 00:13:11,760 Speaker 1: on Apple Podcasts or Spotify to help more listeners find 189 00:13:11,760 --> 00:13:16,000 Speaker 1: our global reporting. The Prognosis Daily Edition is hosted by 190 00:13:16,000 --> 00:13:20,160 Speaker 1: me Laura Carlson. The show is produced by Me Topher Foreheads, 191 00:13:20,280 --> 00:13:26,040 Speaker 1: Jordan Gaspoure and Magnus Henriksson. Additional reporting by Naomi Kresky. 192 00:13:26,360 --> 00:13:30,839 Speaker 1: Original music by Leo Sidrin. Our editors are Francesca Levi 193 00:13:31,200 --> 00:13:35,720 Speaker 1: and Rick Shine. Francesco Levi is Bloomberg's head of Podcasts. 194 00:13:36,200 --> 00:13:37,040 Speaker 1: Thanks for listening,