1 00:00:02,279 --> 00:00:07,760 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day one thirty 2 00:00:07,800 --> 00:00:13,680 Speaker 1: five since coronavirus was declared a global pandemic. Today's main story. 3 00:00:14,720 --> 00:00:18,959 Speaker 1: A few places in the US are still relatively unscathed 4 00:00:19,160 --> 00:00:23,320 Speaker 1: by the virus, but they haven't been able to escape 5 00:00:23,440 --> 00:00:28,159 Speaker 1: the economic devastation. Nowhere is that clear than in the 6 00:00:28,240 --> 00:00:34,199 Speaker 1: lobster towns of rural Maine. But first, here's what happened 7 00:00:34,240 --> 00:00:43,000 Speaker 1: in virus students today. Houston joined Dallas and other Texas 8 00:00:43,000 --> 00:00:46,040 Speaker 1: school systems in delaying the start of the school year 9 00:00:46,600 --> 00:00:49,640 Speaker 1: because of the surge of coronavirus cases in the state. 10 00:00:50,920 --> 00:00:56,960 Speaker 1: President Donald Trump canceled the planned Republican Convention events in Jacksonville, Florida, 11 00:00:57,520 --> 00:01:03,040 Speaker 1: another state where cases are raging. The World Health Organization's 12 00:01:03,200 --> 00:01:07,280 Speaker 1: chief scientist, Dr Sonia Swamy Nathan said the world needs 13 00:01:07,319 --> 00:01:10,640 Speaker 1: to gear up against the virus for the next year 14 00:01:10,680 --> 00:01:14,560 Speaker 1: and a half because it will take time to develop 15 00:01:14,640 --> 00:01:19,560 Speaker 1: a vaccine. She urged countries to develop public health measures 16 00:01:19,760 --> 00:01:24,520 Speaker 1: to combat the virus until a vaccine is developed. While 17 00:01:24,720 --> 00:01:28,760 Speaker 1: twenty four candidates are in clinical trials, the success rate 18 00:01:28,800 --> 00:01:33,920 Speaker 1: of an experimental vaccine is normally just ten, which is 19 00:01:33,959 --> 00:01:38,400 Speaker 1: why it's better to have many in development. She also 20 00:01:38,480 --> 00:01:42,200 Speaker 1: said it's possible that no vaccine will work and the 21 00:01:42,280 --> 00:01:49,280 Speaker 1: world should consider that scenario. And finally, Austria tightened up 22 00:01:49,320 --> 00:01:53,120 Speaker 1: mass requirements because of a new surge of rhinovirus cases. 23 00:01:53,920 --> 00:01:57,880 Speaker 1: The rhinovirus, a cause for the common cold, is unrelated 24 00:01:57,880 --> 00:02:02,200 Speaker 1: to the coronavirus, but it spread signals that people are 25 00:02:02,320 --> 00:02:08,240 Speaker 1: not following social distancing in hygiene rules closely. Rhinovirus cases 26 00:02:08,360 --> 00:02:15,400 Speaker 1: had been curbed during the country's lockdown. And now for 27 00:02:15,480 --> 00:02:20,519 Speaker 1: today's main story, the rural town of Stonington, Maine, has 28 00:02:20,639 --> 00:02:25,200 Speaker 1: barely been touched by the novel coronavirus, with cases numbering 29 00:02:25,480 --> 00:02:29,880 Speaker 1: in the tents, but its economic health is another matter. 30 00:02:30,840 --> 00:02:34,840 Speaker 1: The fallout from COVID nineteen is devastating the town's lobster 31 00:02:34,880 --> 00:02:40,200 Speaker 1: workers and the lobster business statewide. Lobster is a huge 32 00:02:40,280 --> 00:02:44,639 Speaker 1: business in Maine, and what's happening in tiny Stonington is 33 00:02:44,960 --> 00:02:49,160 Speaker 1: in a way a smaller version of the whole US economy, 34 00:02:50,400 --> 00:03:00,160 Speaker 1: as may dupri has more on the side. This up 35 00:03:00,200 --> 00:03:02,720 Speaker 1: sitting on the rail and a lobster wants to walk 36 00:03:02,720 --> 00:03:07,239 Speaker 1: out land on my floor. If I'm a lobster I'm 37 00:03:07,440 --> 00:03:10,200 Speaker 1: entering through here, and then the baits sitting right here, 38 00:03:10,880 --> 00:03:13,960 Speaker 1: and then at some point they'll go there. Why am 39 00:03:13,960 --> 00:03:16,600 Speaker 1: I crawling back there? Just because said, look at something new. 40 00:03:17,120 --> 00:03:20,320 Speaker 1: This is what catches them. This is called the kitchen, 41 00:03:20,600 --> 00:03:28,400 Speaker 1: and this is and this is the and they just 42 00:03:28,840 --> 00:03:30,639 Speaker 1: like they just want to go explore and move a 43 00:03:30,680 --> 00:03:33,600 Speaker 1: little bit, so they go back. They keep going in 44 00:03:34,360 --> 00:03:36,120 Speaker 1: and then it's harder for them to get out of 45 00:03:36,160 --> 00:03:39,120 Speaker 1: that section than it is this. And will all these 46 00:03:39,160 --> 00:03:42,400 Speaker 1: traps be in the water eventually? That's me standing outside 47 00:03:42,400 --> 00:03:45,640 Speaker 1: Blaine and Jinny Olsen's house in Stonington, Maine, as they 48 00:03:45,680 --> 00:03:49,040 Speaker 1: explain how a lobster trap works. I probably couldn't have 49 00:03:49,080 --> 00:03:52,960 Speaker 1: found more appropriate instructors. Blaine and Jinny have been married 50 00:03:53,000 --> 00:03:55,200 Speaker 1: for twenty five years and work side by side on 51 00:03:55,240 --> 00:03:59,200 Speaker 1: their boat Virginia. Don Blaine has been lobster fishing the 52 00:03:59,240 --> 00:04:02,320 Speaker 1: cold Atlantic quaters here since he was fourteen years old. 53 00:04:02,840 --> 00:04:05,800 Speaker 1: He's now fifty three and has a tidy white mustache 54 00:04:05,840 --> 00:04:09,040 Speaker 1: and a bigger belly than he did pre quarantine. Jinny 55 00:04:09,160 --> 00:04:12,960 Speaker 1: is forty six and a fourth generation lobster fisher. Their 56 00:04:13,000 --> 00:04:16,640 Speaker 1: two year old son, Devon, used to lobster too. But 57 00:04:16,920 --> 00:04:20,800 Speaker 1: he's been smart vision he took a job bout McCloy. 58 00:04:21,040 --> 00:04:25,039 Speaker 1: I hope. I don't know what's gonna happen. Blame that 59 00:04:25,120 --> 00:04:28,560 Speaker 1: uncertainty on the novel coronavirus. But it's not that the 60 00:04:28,640 --> 00:04:31,120 Speaker 1: virus itself has hit hard here in this corner of 61 00:04:31,240 --> 00:04:35,520 Speaker 1: rural downeas Maine. In fact, it's barely touched. The public 62 00:04:35,560 --> 00:04:39,000 Speaker 1: health Hancock County had reported just twenty one cases and 63 00:04:39,080 --> 00:04:42,839 Speaker 1: one death as of earlier this week. Instead, it's the 64 00:04:42,880 --> 00:04:46,880 Speaker 1: area's economic health that's hurting. The fallout from COVID nineteen 65 00:04:46,960 --> 00:04:49,400 Speaker 1: threatens a historically bad year for the Olsen's and the 66 00:04:49,440 --> 00:04:53,800 Speaker 1: rest of the state's lobster industry, And in Maine, lobsters 67 00:04:53,839 --> 00:04:57,120 Speaker 1: are a big deal, so it has a ripple effect 68 00:04:57,800 --> 00:05:01,080 Speaker 1: throughout the whole community. When lobster was god a bad year. 69 00:05:02,000 --> 00:05:05,680 Speaker 1: The biggest problem is lack of demand. Most consumers eat 70 00:05:05,720 --> 00:05:09,200 Speaker 1: the crustaceans at restaurants and a board cruise ships, and those, 71 00:05:09,279 --> 00:05:11,600 Speaker 1: of course have been shuttered for months and slow to 72 00:05:11,640 --> 00:05:15,760 Speaker 1: reopen when they do. Infection prevention protocols have cut capacity 73 00:05:15,800 --> 00:05:19,240 Speaker 1: at processing plants where workers pick out meat destined for 74 00:05:19,279 --> 00:05:22,720 Speaker 1: lobster rolls, and lobster stew, and the drop in air 75 00:05:22,760 --> 00:05:27,040 Speaker 1: traffic has snarled the logistics of shipping live creatures. The 76 00:05:27,080 --> 00:05:29,719 Speaker 1: result is that lobster fishers like the Ulsan's are getting 77 00:05:29,720 --> 00:05:32,800 Speaker 1: paid to pittance for their catch. The doc price was 78 00:05:32,839 --> 00:05:35,240 Speaker 1: two dollars and fifty cents a pound last week for 79 00:05:35,279 --> 00:05:38,880 Speaker 1: soft shell lobsters here. That's about half what it was 80 00:05:38,920 --> 00:05:41,479 Speaker 1: a year ago and makes it virtually impossible to earn 81 00:05:41,480 --> 00:05:45,800 Speaker 1: a profit by catching lobster. Hopes for recovery anytime soon 82 00:05:45,880 --> 00:05:51,800 Speaker 1: are dim in the summertime, on average at cassis to 83 00:05:51,960 --> 00:05:55,720 Speaker 1: dollars a pound, you get a catch to crate some 84 00:05:55,800 --> 00:05:59,799 Speaker 1: lobsters just to pay a build h and then after 85 00:05:59,839 --> 00:06:03,840 Speaker 1: that we stopped making money. Last summer was terrible. We 86 00:06:03,920 --> 00:06:11,040 Speaker 1: had we averaged fifty five that our price was four 87 00:06:11,080 --> 00:06:15,800 Speaker 1: dollars and up. That helped last year price, but this 88 00:06:15,920 --> 00:06:18,760 Speaker 1: year has been be a different story. You don't have 89 00:06:18,880 --> 00:06:22,839 Speaker 1: the tourism market, you don't have the exports because of 90 00:06:22,839 --> 00:06:26,599 Speaker 1: the tariffs and COVID, and you don't have the processes 91 00:06:26,720 --> 00:06:30,599 Speaker 1: because of COVID, and then i'll mixes together and equals 92 00:06:30,640 --> 00:06:36,600 Speaker 1: what a low price devastating. The low price lobstering is 93 00:06:36,640 --> 00:06:40,560 Speaker 1: America's most lucrative marine fishery, and Stonington, Maine, is the 94 00:06:40,600 --> 00:06:47,000 Speaker 1: capitol of American Lobster comes from Maine, and more so 95 00:06:47,080 --> 00:06:50,839 Speaker 1: than anywhere else Maine, lobster comes from the waters around Stonington. 96 00:06:52,120 --> 00:06:54,560 Speaker 1: Lobsterman in this county hauled almost a third of the 97 00:06:54,600 --> 00:06:58,640 Speaker 1: one d one million pounds landed statewide last year, worth 98 00:06:58,680 --> 00:07:02,360 Speaker 1: four hundred and eighty five million dollars. The industry has 99 00:07:02,400 --> 00:07:05,120 Speaker 1: been trying to mitigate the economic damage of low prices 100 00:07:05,120 --> 00:07:08,880 Speaker 1: and low demand. One technique is simply don't fish or 101 00:07:08,880 --> 00:07:12,080 Speaker 1: fish a lot less to prevent abundant supply from causing 102 00:07:12,120 --> 00:07:15,760 Speaker 1: further price declines. Take a drive around Stonington's in the 103 00:07:15,800 --> 00:07:18,400 Speaker 1: nearby town of Darisle, and you see a lot of 104 00:07:18,480 --> 00:07:22,640 Speaker 1: lobster traps stacked dry in people's yards. In a typical year, 105 00:07:22,840 --> 00:07:24,680 Speaker 1: those traps would be sitting on the bottom of the 106 00:07:24,720 --> 00:07:27,720 Speaker 1: ocean floor by now, you know, usually when we go 107 00:07:27,800 --> 00:07:31,400 Speaker 1: to set. But there's a bunch of traps already in 108 00:07:31,480 --> 00:07:35,040 Speaker 1: an area where we sat, and right now it's still 109 00:07:35,080 --> 00:07:38,160 Speaker 1: pretty open. It's just like today. When I went out 110 00:07:38,160 --> 00:07:40,200 Speaker 1: to the cow, I was expecting to see a ton 111 00:07:40,280 --> 00:07:44,160 Speaker 1: of trap okay, and that wasn't those big boats. They 112 00:07:44,200 --> 00:07:50,840 Speaker 1: can't make it. Okay, okay, they got three men plus 113 00:07:50,840 --> 00:07:54,680 Speaker 1: a captain. When the lobster industry suffers, the pain ripples 114 00:07:54,720 --> 00:07:58,480 Speaker 1: throughout the local economy. The Olsen's won't hire carpenters to 115 00:07:58,520 --> 00:08:01,120 Speaker 1: remodel their kitchen or in us to new lobster traps. 116 00:08:01,160 --> 00:08:04,400 Speaker 1: This year, they didn't even refresh their booies with day 117 00:08:04,440 --> 00:08:08,080 Speaker 1: globe paint. They opted to buy regular paint instead because 118 00:08:08,080 --> 00:08:12,560 Speaker 1: it was cheaper. So it means that you don't go 119 00:08:12,600 --> 00:08:16,320 Speaker 1: out to eat. It means that you don't buy a 120 00:08:16,400 --> 00:08:19,840 Speaker 1: bunch of new clothes this year. Like we wanted to 121 00:08:21,240 --> 00:08:26,240 Speaker 1: get more new traps this year, that won't happen. So 122 00:08:26,760 --> 00:08:31,680 Speaker 1: anything that is not a necessity will not happen this year. 123 00:08:32,280 --> 00:08:38,040 Speaker 1: This year will be a bare bones municipal services here 124 00:08:38,160 --> 00:08:43,320 Speaker 1: run on lobster revenue. If our lobster industry ceases to exist, 125 00:08:44,400 --> 00:08:48,720 Speaker 1: then this town really there won't be no school, there 126 00:08:48,720 --> 00:08:52,040 Speaker 1: won't be no town office, won't be no road troup. 127 00:08:53,000 --> 00:08:55,640 Speaker 1: What's happening in the lobster industry is a microcosm of 128 00:08:55,640 --> 00:08:57,840 Speaker 1: what's happening in the global economy. In the age of 129 00:08:57,880 --> 00:09:03,360 Speaker 1: COVID nineteen at least the meat still tastes good. Okay, 130 00:09:03,400 --> 00:09:12,000 Speaker 1: feel you'll eat these all nights to If we have 131 00:09:12,040 --> 00:09:16,719 Speaker 1: any left overall, we'll have tomorrow and I'll just have 132 00:09:16,840 --> 00:09:37,640 Speaker 1: a nice That was as Ma Dupre. And that's it 133 00:09:37,720 --> 00:09:40,480 Speaker 1: for our show today. For coverage of the outbreak from 134 00:09:40,480 --> 00:09:45,120 Speaker 1: one bureaus around the world, visit bloomberg dot com slash 135 00:09:45,200 --> 00:09:49,160 Speaker 1: coronavirus and if you like the show, please leave us 136 00:09:49,160 --> 00:09:52,440 Speaker 1: a review and a rating on Apple Podcasts or Spotify. 137 00:09:52,720 --> 00:09:55,280 Speaker 1: It's the best way to help more listeners find our 138 00:09:55,320 --> 00:10:00,400 Speaker 1: global reporting. The Prognosis Daily edition is produced by Toph 139 00:10:00,400 --> 00:10:06,840 Speaker 1: foreheads Jordan Gaspoure, Magnus Henrickson, and mat Loura Carlson. Today's 140 00:10:06,840 --> 00:10:11,280 Speaker 1: main story was reported by Esme Dupre, original music by 141 00:10:11,360 --> 00:10:15,680 Speaker 1: Leo Sidrin. Our editors are Rick Shine and Francesca Levi. 142 00:10:16,400 --> 00:10:20,840 Speaker 1: Francesca Levi is Bloomberg's head of podcasts. Thanks for listening. 143 00:10:27,000 --> 00:10:27,040 Speaker 1: H