1 00:00:02,920 --> 00:00:08,520 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day fifty since 2 00:00:08,600 --> 00:00:13,480 Speaker 1: coronavirus was declared a global pandemic. Our main story. We 3 00:00:13,640 --> 00:00:16,760 Speaker 1: know that older people and those with lung disease and 4 00:00:16,840 --> 00:00:20,200 Speaker 1: serious heart conditions are at a higher risk of dying 5 00:00:20,239 --> 00:00:25,160 Speaker 1: from COVID nineteen, but researchers are learning that other factors 6 00:00:25,320 --> 00:00:29,440 Speaker 1: can also make the virus deadly. Two of them are 7 00:00:29,480 --> 00:00:35,560 Speaker 1: smoking and obesity. Understanding that also helps us understand why 8 00:00:35,600 --> 00:00:40,800 Speaker 1: the virus seems to work differently in different places. But first, 9 00:00:41,560 --> 00:00:50,159 Speaker 1: here's what happened today. If it's Thursday, that means it's 10 00:00:50,159 --> 00:00:52,360 Speaker 1: another week where we talk about a number in the 11 00:00:52,520 --> 00:00:55,640 Speaker 1: millions that we used to count in the hundreds of 12 00:00:55,680 --> 00:01:03,080 Speaker 1: thousands unemployment. Over three eight million Americans filed for unemployment 13 00:01:03,120 --> 00:01:07,440 Speaker 1: benefits last week. Since the pandemic began shutting down businesses 14 00:01:07,480 --> 00:01:11,440 Speaker 1: across the country six weeks ago, over thirty million have 15 00:01:11,600 --> 00:01:16,000 Speaker 1: now applied. Tomorrow, we'll find out what the unemployment rate 16 00:01:16,160 --> 00:01:20,120 Speaker 1: was for the month of April, but experts say it 17 00:01:20,200 --> 00:01:24,920 Speaker 1: could be as high as we haven't seen a number 18 00:01:24,959 --> 00:01:28,800 Speaker 1: like that since the Great Depression of the nineteen thirties. 19 00:01:31,240 --> 00:01:34,039 Speaker 1: The Food and Drug administration says it is moving at 20 00:01:34,200 --> 00:01:38,399 Speaker 1: lightning speed to review data on the experimental COVID nineteen 21 00:01:38,400 --> 00:01:45,119 Speaker 1: treatment rem dessevere made by Gilliad Sciences. Yesterday, an important 22 00:01:45,240 --> 00:01:49,360 Speaker 1: US trial showed promising results for the drug, but on 23 00:01:49,400 --> 00:01:52,440 Speaker 1: the very same day, the lance AT journal published a 24 00:01:52,480 --> 00:01:57,880 Speaker 1: fully vetted small Chinese study that showed different less promising results. 25 00:01:59,240 --> 00:02:02,480 Speaker 1: F d A Commissioner Stephen Hahn said the agency was 26 00:02:02,560 --> 00:02:07,040 Speaker 1: prioritizing speed while at the same time reviewing all of 27 00:02:07,080 --> 00:02:11,240 Speaker 1: the data to decide how to regulate the drug. In 28 00:02:11,360 --> 00:02:15,320 Speaker 1: other drug news, Astra Zenica agreed to make an experimental 29 00:02:15,360 --> 00:02:21,240 Speaker 1: coronavirus vaccine developed by Oxford University researchers. Astra's goal is 30 00:02:21,240 --> 00:02:24,480 Speaker 1: to have the capacity to produce one hundred million doses 31 00:02:24,800 --> 00:02:28,000 Speaker 1: by the end of the year. The company is one 32 00:02:28,040 --> 00:02:30,520 Speaker 1: of dozens around the world that have joined the race 33 00:02:30,639 --> 00:02:34,919 Speaker 1: to produce an effective vaccine. The Trump administration this week 34 00:02:35,000 --> 00:02:38,120 Speaker 1: announced an effort to make shots available to Americans by 35 00:02:38,120 --> 00:02:42,040 Speaker 1: the end of the year. The agreement between Astra and 36 00:02:42,080 --> 00:02:46,240 Speaker 1: Oxford shows that drug developers are planning to manufacture vaccines 37 00:02:46,760 --> 00:02:53,160 Speaker 1: even before they've cleared human tests. Creating an effective vaccine 38 00:02:53,440 --> 00:02:56,600 Speaker 1: is key to getting back to normal life. But Brazil 39 00:02:57,040 --> 00:03:00,760 Speaker 1: isn't waiting. In the country that's has to becoming a 40 00:03:00,800 --> 00:03:04,480 Speaker 1: global hotspot of the pandemic. Some states have dialed back 41 00:03:04,520 --> 00:03:09,080 Speaker 1: restrictions on malls, gyms, and churches. Demand is up at 42 00:03:09,120 --> 00:03:13,280 Speaker 1: gas stations across the country. Even residents of South Paulo, 43 00:03:13,600 --> 00:03:17,200 Speaker 1: where restrictions remain in place, are getting out more. According 44 00:03:17,200 --> 00:03:21,080 Speaker 1: to government tracking data, a poll shows that support for 45 00:03:21,120 --> 00:03:26,600 Speaker 1: isolation measures is fading. On Tuesday, Brazil reported its highest 46 00:03:26,639 --> 00:03:29,280 Speaker 1: number of deaths since the pandemic hit the country in 47 00:03:29,400 --> 00:03:34,120 Speaker 1: late February. It's twenty four. Our fatality rate lags only 48 00:03:34,200 --> 00:03:42,520 Speaker 1: the US and the UK, and now our main story. 49 00:03:43,760 --> 00:03:47,800 Speaker 1: As COVID nineteen spreads, doctors are learning more about why 50 00:03:47,880 --> 00:03:51,560 Speaker 1: some patients get very sick and why others only get 51 00:03:51,600 --> 00:03:55,360 Speaker 1: mildly ill. Some of the people most at risk for 52 00:03:55,440 --> 00:04:00,480 Speaker 1: severe illness have underlying conditions that affect their lungs. Older 53 00:04:00,520 --> 00:04:04,560 Speaker 1: people are also at a higher risk, but certain factors, 54 00:04:04,720 --> 00:04:08,480 Speaker 1: when combined with age, create a powder kick for the 55 00:04:08,520 --> 00:04:14,080 Speaker 1: effects of the disease. Both smoking and obesity are conditions 56 00:04:14,080 --> 00:04:17,839 Speaker 1: that can lead to fatal results in COVID nineteen patients. 57 00:04:18,640 --> 00:04:22,719 Speaker 1: Bloomberg Senior editor Jason Gale explains how these conditions have 58 00:04:22,839 --> 00:04:29,920 Speaker 1: made the coronavirus more lethal in some countries. Obesity didn't 59 00:04:29,960 --> 00:04:33,760 Speaker 1: feature much among critically ill patients when the pandemic started 60 00:04:33,760 --> 00:04:37,320 Speaker 1: in China in late two nine. That may be because 61 00:04:37,720 --> 00:04:40,320 Speaker 1: it's not as big a problem in China as it 62 00:04:40,400 --> 00:04:44,080 Speaker 1: is in some Western countries. The Chinese government says about 63 00:04:44,200 --> 00:04:48,320 Speaker 1: twelve percent of its adult population is abase. That compares 64 00:04:48,480 --> 00:04:53,159 Speaker 1: with about in the United States. Obesity is associated with 65 00:04:53,200 --> 00:04:56,159 Speaker 1: a range of health problems, from type two diabetes to 66 00:04:56,200 --> 00:05:00,440 Speaker 1: cardiovascular disease to cancer. These can all increase the severity 67 00:05:00,480 --> 00:05:04,560 Speaker 1: of COVID nineteen. But when doctors outside China looked more 68 00:05:04,640 --> 00:05:08,200 Speaker 1: closely at some of their sickest patients, they found obesity 69 00:05:08,360 --> 00:05:11,680 Speaker 1: stood out as an independent risk factor. It seems the 70 00:05:11,720 --> 00:05:16,880 Speaker 1: obesity epidemic could be exacerbating the severity of the coronavirus pandemic. 71 00:05:17,480 --> 00:05:23,480 Speaker 1: Obesity is a very important risk factor, that's Tobias Wealthy. 72 00:05:23,520 --> 00:05:26,440 Speaker 1: He's the head of medicine at Hanover University in Germany 73 00:05:26,640 --> 00:05:29,080 Speaker 1: and a member of the COVID nineteen task force in 74 00:05:29,120 --> 00:05:32,640 Speaker 1: the state of Lower Saxony. Tobias says the virus may 75 00:05:32,720 --> 00:05:36,000 Speaker 1: get past the body's immune defenses easier and obese patients 76 00:05:36,279 --> 00:05:39,239 Speaker 1: than in patients whose body mass is in the healthy range. 77 00:05:40,160 --> 00:05:46,160 Speaker 1: My explanation is that in patients who are OBEs, there 78 00:05:46,320 --> 00:05:51,840 Speaker 1: is a change in the structure of the lungs. Scientists 79 00:05:51,880 --> 00:05:55,640 Speaker 1: have found that excess fat accumulates in the airway walls, 80 00:05:55,920 --> 00:05:59,120 Speaker 1: where it takes up space and seems to increase inflammation 81 00:05:59,200 --> 00:06:03,160 Speaker 1: within the lungs. Demias thinks that in obese patients, low 82 00:06:03,200 --> 00:06:07,359 Speaker 1: grade inflammation depresses the body's initial innate immune response to 83 00:06:07,400 --> 00:06:11,640 Speaker 1: respiratory infections. That also makes it easier for pathogens like 84 00:06:11,720 --> 00:06:14,640 Speaker 1: the coronavirus to go from the nose and throat to 85 00:06:14,760 --> 00:06:17,839 Speaker 1: the lower respiratory tract, where it can damage the tiny 86 00:06:18,000 --> 00:06:22,039 Speaker 1: grape like air sax or alveola through which gas exchange 87 00:06:22,040 --> 00:06:25,280 Speaker 1: occurs for oxygen eating the blood, and then that can 88 00:06:25,360 --> 00:06:33,919 Speaker 1: lead to more inflammation and ultimately to difficulty breathing. We 89 00:06:34,000 --> 00:06:38,279 Speaker 1: don't know that the coronavirus selectively targets people with obesity 90 00:06:38,360 --> 00:06:41,039 Speaker 1: or that they're more prone to the infection, but the 91 00:06:41,080 --> 00:06:44,039 Speaker 1: emerging evidence from studies coming out of North America and 92 00:06:44,080 --> 00:06:47,360 Speaker 1: Europe over the past few weeks points to obesity being 93 00:06:47,400 --> 00:06:50,719 Speaker 1: a risk factor for getting sicker from COVID nineteen needing 94 00:06:50,760 --> 00:06:55,560 Speaker 1: intensive care and mechanical ventilation, and also for dying as 95 00:06:55,600 --> 00:06:59,479 Speaker 1: a result of the disease. Dr Margaret Pezzani Tommy she 96 00:06:59,560 --> 00:07:02,440 Speaker 1: saw the same phenomenon when she was treating H one 97 00:07:02,600 --> 00:07:05,360 Speaker 1: N one or swine flu patients during the two thousand 98 00:07:05,360 --> 00:07:09,680 Speaker 1: and nine influenza pandemic. Margaret is an associate professor of 99 00:07:09,720 --> 00:07:13,920 Speaker 1: pulmonary and Critical Care Medicine at Yale University in Connecticut. 100 00:07:14,280 --> 00:07:17,880 Speaker 1: She now treats critically ill COVID patients at Yale New 101 00:07:17,920 --> 00:07:21,840 Speaker 1: Haven Hospital. She says there are also physical challenges to 102 00:07:22,000 --> 00:07:25,560 Speaker 1: caring for obese patients. It's harder to do things like 103 00:07:25,640 --> 00:07:28,200 Speaker 1: throwing them so put them out on their valies. It's 104 00:07:28,200 --> 00:07:31,240 Speaker 1: harder to manage them on the ventilator because their airway 105 00:07:31,240 --> 00:07:33,840 Speaker 1: pressures tend to be hired just because of their body habits, 106 00:07:34,440 --> 00:07:36,760 Speaker 1: and so I think in general they're harder to care for, 107 00:07:36,880 --> 00:07:39,360 Speaker 1: and then we just have a harder time than with 108 00:07:39,600 --> 00:07:43,400 Speaker 1: ventilating them and oxygen eating them. So if a patient 109 00:07:43,520 --> 00:07:46,680 Speaker 1: is obese and becomes infected with COVID, they are more 110 00:07:46,720 --> 00:07:49,800 Speaker 1: likely to do worse than someone in a healthy weight range, 111 00:07:50,520 --> 00:07:53,640 Speaker 1: and there's another risk factor that's adding to the severity 112 00:07:53,640 --> 00:08:07,239 Speaker 1: of this pandemic, smoking newport cigarettes carefully selected blend. Previous 113 00:08:07,240 --> 00:08:10,080 Speaker 1: studies have shown that smokers are twice as likely as 114 00:08:10,240 --> 00:08:14,240 Speaker 1: non smokers to contract influenza and to have more severe symptoms. 115 00:08:14,720 --> 00:08:17,680 Speaker 1: We're now seeing a similar effect in COVID nineteen cases. 116 00:08:18,440 --> 00:08:21,920 Speaker 1: When you inhale through a cigarette, the smoke damages protective 117 00:08:22,000 --> 00:08:26,200 Speaker 1: cells that line your respiratory tract. The coronavirus also happens 118 00:08:26,240 --> 00:08:29,360 Speaker 1: to target these cells, so when a smoker develops COVID, 119 00:08:29,640 --> 00:08:32,920 Speaker 1: the cells are already vulnerable and the virus just takes 120 00:08:32,920 --> 00:08:36,920 Speaker 1: advantage of that weakness. Once the virus gets into the body, 121 00:08:37,240 --> 00:08:40,439 Speaker 1: it tries to replicate by invading cells with a specific 122 00:08:40,520 --> 00:08:44,920 Speaker 1: protein receptor. Dr Janice Leon is a respiratory physician at 123 00:08:45,000 --> 00:08:48,200 Speaker 1: Vancouver Saint Paul's Hospital and the University of British Columbia. 124 00:08:48,760 --> 00:08:51,560 Speaker 1: Janice found there were more of these receptors in the 125 00:08:51,600 --> 00:08:55,320 Speaker 1: airways of patients with a common smoking related condition called 126 00:08:55,400 --> 00:09:00,559 Speaker 1: chronic obstructive pulmonary disease or COPD, So it may be 127 00:09:00,760 --> 00:09:03,640 Speaker 1: that the virus has an easier time undering the lungs 128 00:09:03,640 --> 00:09:06,880 Speaker 1: of people who have CELPD. That's one possibility as to 129 00:09:06,920 --> 00:09:10,520 Speaker 1: why they may actually do worse. Right now, Janice is 130 00:09:10,559 --> 00:09:14,600 Speaker 1: studying whether these receptors can be manipulated with certain drugs 131 00:09:14,600 --> 00:09:18,200 Speaker 1: to ward off COVID nineteen to bias wealthy yet Hanover 132 00:09:18,280 --> 00:09:22,280 Speaker 1: University says data coming from Southern European countries like Spain 133 00:09:22,320 --> 00:09:25,200 Speaker 1: and Italy show that smokers have a higher risk of 134 00:09:25,320 --> 00:09:29,120 Speaker 1: worst disease compared with non smokers. But there's one country 135 00:09:29,120 --> 00:09:33,040 Speaker 1: that at least initially didn't match that pattern despite having 136 00:09:33,040 --> 00:09:39,320 Speaker 1: a high rate of smokers, and that's China. When the 137 00:09:39,320 --> 00:09:42,840 Speaker 1: pandemic started in the Chinese city of Wuhan, smokers weren't 138 00:09:42,840 --> 00:09:47,000 Speaker 1: predominant among the sickest patients, and this didn't square with 139 00:09:47,080 --> 00:09:49,960 Speaker 1: what researchers have since found in other parts of the world, 140 00:09:50,600 --> 00:09:55,120 Speaker 1: and especially stump scientists because smoking is so prevalent in China. 141 00:09:55,640 --> 00:09:59,120 Speaker 1: For example, in Hubei Province, in which Wuhan is the capital, 142 00:09:59,600 --> 00:10:03,679 Speaker 1: close to six of mid smoke, but study showed only 143 00:10:03,720 --> 00:10:07,640 Speaker 1: a fraction of severely ill COVID nineteen patients were smokers, 144 00:10:07,880 --> 00:10:11,680 Speaker 1: and that was puzzling. Tobia says. One explanation might be 145 00:10:11,720 --> 00:10:14,640 Speaker 1: that the data weren't reliably collected and recorded in the 146 00:10:14,640 --> 00:10:18,120 Speaker 1: early days of the pandemic, but even past that, there 147 00:10:18,240 --> 00:10:21,920 Speaker 1: was another factor, one that might have predisposed the wider 148 00:10:21,960 --> 00:10:25,520 Speaker 1: population to more severe illness once they're called COVID nineteen, 149 00:10:26,120 --> 00:10:30,960 Speaker 1: and that's air pollution. What is cigarette smoke. Cigarette smoke 150 00:10:31,480 --> 00:10:36,560 Speaker 1: is a kind of very intensive pollution, but if there 151 00:10:36,880 --> 00:10:41,800 Speaker 1: is a high pollution, it could overcome the effects of 152 00:10:42,000 --> 00:10:47,400 Speaker 1: cigarette smoking alone. Tobiasis theory hasn't been confirmed yet. Wohound, 153 00:10:47,520 --> 00:10:51,720 Speaker 1: with about eleven million people, is known for its still smelting. 154 00:10:52,160 --> 00:10:55,040 Speaker 1: Tobias says that the connection to poor air quality in 155 00:10:55,120 --> 00:10:59,560 Speaker 1: China and severely ill COVID patients lines up with trends 156 00:10:59,559 --> 00:11:03,600 Speaker 1: and parts of the world. When the pandemic started in 157 00:11:03,760 --> 00:11:07,680 Speaker 1: China and also when it started in nos and Italy, 158 00:11:07,960 --> 00:11:12,480 Speaker 1: very surprisingly, our pollution had been very high at this 159 00:11:12,640 --> 00:11:18,760 Speaker 1: time point, so there may be a synergistic effect of 160 00:11:18,880 --> 00:11:23,640 Speaker 1: different types of air pollution. As COVID nineteen spreads, we're 161 00:11:23,760 --> 00:11:27,640 Speaker 1: seeing it play out slightly differently in communities around the world, 162 00:11:28,160 --> 00:11:34,840 Speaker 1: exposing different vulnerabilities and sometimes exacerbating longstanding health problems. In 163 00:11:34,880 --> 00:11:37,920 Speaker 1: the case of air pollution, it isn't something that can 164 00:11:37,960 --> 00:11:41,360 Speaker 1: be easily tackled, at least on an individual level to 165 00:11:41,480 --> 00:11:46,480 Speaker 1: reduce the risk from COVID nineteen. But smoking is of 166 00:11:46,520 --> 00:11:50,400 Speaker 1: all the good reasons to quit smoking, The current pandemic 167 00:11:50,720 --> 00:11:58,120 Speaker 1: amounts to one more. That was just in Gale in Melbourne, 168 00:11:59,000 --> 00:12:02,000 Speaker 1: And that's our show today. For coverage of the outbreak 169 00:12:02,000 --> 00:12:05,599 Speaker 1: from one and twenty bureaus around the world, visit Bloomberg 170 00:12:05,720 --> 00:12:10,480 Speaker 1: dot com slash coronavirus and if you like the show, 171 00:12:10,880 --> 00:12:13,280 Speaker 1: please leave us a review and a rating on Apple 172 00:12:13,360 --> 00:12:16,680 Speaker 1: Podcasts or Spotify. It's the best way to help more 173 00:12:16,720 --> 00:12:21,760 Speaker 1: listeners find our global reporting. The Prognosis Daily edition is 174 00:12:21,800 --> 00:12:25,600 Speaker 1: hosted by Me Laura Carlson. The show is produced by Me, 175 00:12:25,960 --> 00:12:32,040 Speaker 1: top Foreheads, Jordan Gaspoure and Magnus Hendrickson. Today's main story 176 00:12:32,280 --> 00:12:36,559 Speaker 1: was reported by Jason Gale. Original music by Leo Sidran. 177 00:12:37,440 --> 00:12:42,360 Speaker 1: Our editors are Francesco Levi and Rick Shine. Francesco Levi 178 00:12:42,800 --> 00:13:00,280 Speaker 1: is Bloomberg's head of Podcasts. Thanks for listening. Two