1 00:00:15,396 --> 00:00:22,196 Speaker 1: Pushkin from Pushkin Industries. This is Deep Background, the show 2 00:00:22,236 --> 00:00:25,676 Speaker 1: where we explore the stories behind the stories in the news. 3 00:00:26,196 --> 00:00:30,476 Speaker 1: I'm Noah Feldman. The CDC, also known as the Centers 4 00:00:30,516 --> 00:00:33,956 Speaker 1: for Disease Control and Prevention, has been emphasizing that a 5 00:00:33,996 --> 00:00:37,276 Speaker 1: strategy called contact tracing is going to be essential to 6 00:00:37,316 --> 00:00:41,356 Speaker 1: reopening the country. Here's Robert Redfield, the head of the CDC, 7 00:00:41,876 --> 00:00:44,596 Speaker 1: speaking at a White House press conference earlier this month. 8 00:00:44,996 --> 00:00:51,516 Speaker 1: We're going to be very aggressively focused on early case recognition, isolation, 9 00:00:51,556 --> 00:00:55,436 Speaker 1: and contact tracing. Contact tracing is the process of identifying 10 00:00:55,476 --> 00:00:58,596 Speaker 1: people who've come into contact with an infected person and 11 00:00:58,676 --> 00:01:01,596 Speaker 1: alerting them so that they can get tested and isolate 12 00:01:01,636 --> 00:01:05,796 Speaker 1: themselves to slow the spread of the disease. This is 13 00:01:05,796 --> 00:01:08,076 Speaker 1: a job that has traditionally been done by public health 14 00:01:08,076 --> 00:01:13,396 Speaker 1: workers in several countries around the world, including Singapore, South Korea. 15 00:01:13,596 --> 00:01:16,716 Speaker 1: Much contact tracing was done digitally with the help of 16 00:01:16,796 --> 00:01:20,836 Speaker 1: apps the people downloaded onto their phones. To learn more 17 00:01:20,876 --> 00:01:23,996 Speaker 1: about contact tracing, how it works, what it's good for, 18 00:01:24,116 --> 00:01:27,676 Speaker 1: and what the challenges are facing contact tracing. We're joined 19 00:01:27,676 --> 00:01:31,556 Speaker 1: by doctor Louise Iverse. She's the executive director of the 20 00:01:31,596 --> 00:01:35,596 Speaker 1: Massachusetts General Center for Global Health at the Massachusetts General 21 00:01:35,636 --> 00:01:39,156 Speaker 1: Hospital in Boston. She's a doctor who specializes in infectious 22 00:01:39,196 --> 00:01:42,836 Speaker 1: disease and IT outbreaks, and she's been thinking very deeply 23 00:01:42,956 --> 00:01:46,436 Speaker 1: about that question. Louise, thank you for being here. I 24 00:01:46,476 --> 00:01:48,996 Speaker 1: wonder if you could start by just explaining to us 25 00:01:48,996 --> 00:01:51,836 Speaker 1: contact tracing one oh one, what is it? And then 26 00:01:51,836 --> 00:01:55,716 Speaker 1: we'll move to what's it for. So contact tracing is 27 00:01:56,236 --> 00:02:03,156 Speaker 1: basically identifying and then isolating people who have been exposed 28 00:02:03,196 --> 00:02:07,636 Speaker 1: to an infectious disease. And the idea is that by 29 00:02:07,676 --> 00:02:11,636 Speaker 1: isolating those people who been exposed, you can interrupt the 30 00:02:11,716 --> 00:02:17,436 Speaker 1: chains of transmission and in good quality contact tracing. Explain 31 00:02:17,476 --> 00:02:19,716 Speaker 1: to me what the mechanics are. First we discover that 32 00:02:20,076 --> 00:02:23,676 Speaker 1: person X call M Noah has been exposed to the 33 00:02:23,756 --> 00:02:28,316 Speaker 1: virus and is infectious. Then what happens. So the first 34 00:02:28,356 --> 00:02:32,356 Speaker 1: step is identifying what we call an index case. So 35 00:02:32,476 --> 00:02:35,516 Speaker 1: an index case is a person who is confirmed to 36 00:02:35,556 --> 00:02:39,236 Speaker 1: have the illness in this situation COVID nineteen. So let's 37 00:02:39,276 --> 00:02:43,756 Speaker 1: say you have a positive COVID nineteen test. Then that 38 00:02:43,836 --> 00:02:48,316 Speaker 1: triggers a notification to the public health authorities. So then 39 00:02:48,356 --> 00:02:52,356 Speaker 1: what they do is call you up and speak with 40 00:02:52,396 --> 00:02:56,756 Speaker 1: you and try to motivationally interview you to remember where 41 00:02:56,796 --> 00:03:00,476 Speaker 1: you've been, who you've been in contact with. For COVID nineteen, 42 00:03:00,596 --> 00:03:05,636 Speaker 1: we think especially about being with someone within about six 43 00:03:05,676 --> 00:03:09,436 Speaker 1: feet of distance physically for about ten or fifteen minutes more. 44 00:03:09,996 --> 00:03:12,516 Speaker 1: And we make a list of all your contacts, and 45 00:03:12,556 --> 00:03:16,116 Speaker 1: then we set about communicating with those people who are 46 00:03:16,196 --> 00:03:20,036 Speaker 1: contacts and giving them particular pieces of advice. You might 47 00:03:20,276 --> 00:03:23,436 Speaker 1: offer contacts a test. You certainly want to know if 48 00:03:23,516 --> 00:03:27,116 Speaker 1: any contact is already having symptoms, because they might actually 49 00:03:27,156 --> 00:03:29,276 Speaker 1: become a case. Then if you have symptoms and a 50 00:03:29,276 --> 00:03:33,316 Speaker 1: positive test, you become a case. You definitely want those 51 00:03:33,356 --> 00:03:39,356 Speaker 1: folks to quarantine. And you know, many people are not 52 00:03:39,396 --> 00:03:42,916 Speaker 1: in a position to easily self isolate, so many people 53 00:03:42,996 --> 00:03:47,116 Speaker 1: talk about supported isolation or supported quarantine. You know, where 54 00:03:47,156 --> 00:03:50,996 Speaker 1: you investigate in speaking with the contact what their barriers 55 00:03:51,036 --> 00:03:53,276 Speaker 1: are to being able to stay home for two weeks. 56 00:03:53,276 --> 00:03:56,276 Speaker 1: So that's kind of the process. And why does that 57 00:03:56,396 --> 00:03:59,356 Speaker 1: not very quickly spiral to enormous numbers. I mean, I 58 00:03:59,396 --> 00:04:02,476 Speaker 1: can understand that under social distancing it might not spiral 59 00:04:02,516 --> 00:04:04,556 Speaker 1: that much because I'm not sure I've actually been in 60 00:04:04,596 --> 00:04:07,076 Speaker 1: contact that much with anybody except from my kids. But 61 00:04:07,156 --> 00:04:09,356 Speaker 1: if I had been out and about because there wasn't 62 00:04:09,396 --> 00:04:12,316 Speaker 1: social distancing, there would presumably be many people, and then 63 00:04:12,356 --> 00:04:14,076 Speaker 1: that would lead to many other people and the tree 64 00:04:14,116 --> 00:04:17,956 Speaker 1: would grow very, very rapidly. So how is this doable 65 00:04:18,196 --> 00:04:22,396 Speaker 1: in a non socially distanced environment. I mean, you just 66 00:04:22,676 --> 00:04:28,236 Speaker 1: perfectly described the pandemic, you know, because that's exactly why 67 00:04:28,396 --> 00:04:32,676 Speaker 1: there's exponential spread, is because every person potentially infects other people. 68 00:04:33,036 --> 00:04:37,116 Speaker 1: So you're totally right. Contact tracing is a big task. 69 00:04:37,756 --> 00:04:42,156 Speaker 1: It quickly becomes very many people, and you are essentially 70 00:04:42,196 --> 00:04:46,276 Speaker 1: trying to chase ahead of the speed of the virus 71 00:04:46,516 --> 00:04:52,796 Speaker 1: and at least take out of circulation enough people so 72 00:04:52,836 --> 00:04:55,876 Speaker 1: that they don't go on to contribute to that exponential spread. 73 00:04:56,036 --> 00:04:58,876 Speaker 1: So it is a very very big task. It is 74 00:04:59,116 --> 00:05:02,436 Speaker 1: certainly normally in public health what we try to do 75 00:05:02,556 --> 00:05:06,676 Speaker 1: at the beginning of epidemics, and so there's certainly debate 76 00:05:06,756 --> 00:05:11,396 Speaker 1: at the moment in Massachusetts, say about how helpful it 77 00:05:11,476 --> 00:05:14,916 Speaker 1: is to be trying to do contact tracing. I do 78 00:05:15,036 --> 00:05:21,516 Speaker 1: think that the human capacity to do it gets quickly stretched. 79 00:05:21,916 --> 00:05:24,876 Speaker 1: If we had over two thousand positive cases and new 80 00:05:24,996 --> 00:05:28,516 Speaker 1: positive cases in Massachusetts yesterday and the same amount the 81 00:05:28,596 --> 00:05:32,676 Speaker 1: day before you quickly get into the number of contacts. 82 00:05:32,676 --> 00:05:35,916 Speaker 1: It's very, very many. And this is why I personally 83 00:05:36,076 --> 00:05:39,836 Speaker 1: became interested in the idea that technology should be able 84 00:05:39,876 --> 00:05:43,956 Speaker 1: to somehow help us in trying to deal with this 85 00:05:44,036 --> 00:05:47,636 Speaker 1: huge task. In a place like Massachusetts is a good 86 00:05:47,636 --> 00:05:50,756 Speaker 1: example where we both are, where there's already what you 87 00:05:50,836 --> 00:05:55,436 Speaker 1: epidemiologists call community spread. What would the scale of contact 88 00:05:55,436 --> 00:05:58,436 Speaker 1: tracing have to be actually to use it to beat 89 00:05:58,476 --> 00:06:01,276 Speaker 1: the virus down? Has that ever been done? I mean, obviously, 90 00:06:01,316 --> 00:06:03,316 Speaker 1: contact tracing has been used successfully as it was in 91 00:06:03,316 --> 00:06:05,716 Speaker 1: South Korea to help control the virus, but only a 92 00:06:05,716 --> 00:06:08,196 Speaker 1: few people have it. But are there any examples in 93 00:06:08,236 --> 00:06:11,036 Speaker 1: the world where contact tracing has been used to knock 94 00:06:11,076 --> 00:06:14,876 Speaker 1: back community spread? I think you could look at Ebola 95 00:06:14,956 --> 00:06:19,316 Speaker 1: virus disease as a example of a very frightening illness 96 00:06:20,076 --> 00:06:23,076 Speaker 1: with a much higher mortality rate that we're seeing for 97 00:06:23,116 --> 00:06:29,556 Speaker 1: COVID nineteen, where contact tracing has essentially been a major 98 00:06:29,636 --> 00:06:33,156 Speaker 1: contributor to ending the outbreak. Certainly in the twenty fourteen 99 00:06:33,236 --> 00:06:37,796 Speaker 1: twenty fifteen outbreak in West Africa before there was a vaccine. 100 00:06:38,436 --> 00:06:41,476 Speaker 1: They're very different diseases, so I'm not trying to say 101 00:06:41,556 --> 00:06:44,676 Speaker 1: that they are transmitted the same way. But the question 102 00:06:44,716 --> 00:06:49,716 Speaker 1: for COVID nineteen is if we don't try to contain 103 00:06:49,876 --> 00:06:55,916 Speaker 1: the virus, what is our alternative. We don't have a treatment, 104 00:06:56,756 --> 00:07:00,476 Speaker 1: we don't have a prevention, a vaccine. I think from 105 00:07:00,476 --> 00:07:04,356 Speaker 1: the perspective of public health folks, if we don't try 106 00:07:04,396 --> 00:07:07,116 Speaker 1: to do contact racing, we're just kind of sitting back 107 00:07:07,156 --> 00:07:10,716 Speaker 1: to say, well, it escaped and there's nothing we can do. 108 00:07:10,756 --> 00:07:12,836 Speaker 1: We just have to wait. So I think when you 109 00:07:12,876 --> 00:07:15,836 Speaker 1: look at the numbers in the United States and certainly Massachusetts, 110 00:07:15,876 --> 00:07:19,796 Speaker 1: it just seem overwhelming. But basically, the two features around 111 00:07:19,796 --> 00:07:22,996 Speaker 1: contact tracing that are important are you have to be fast, 112 00:07:23,716 --> 00:07:26,476 Speaker 1: because you need to identify the contacts and put them 113 00:07:26,476 --> 00:07:29,796 Speaker 1: in isolation quickly, and then you have to have good 114 00:07:29,876 --> 00:07:33,436 Speaker 1: quality testing. So if you have an accurate test that's widespread, 115 00:07:33,836 --> 00:07:37,836 Speaker 1: and you have contact tracing that's fast, then you could 116 00:07:37,876 --> 00:07:41,276 Speaker 1: be successful. You know, Massachusetts just hired or is in 117 00:07:41,316 --> 00:07:44,596 Speaker 1: the process of hiring a thousand people to work on 118 00:07:44,676 --> 00:07:48,316 Speaker 1: contact tracing, and I think that's a big start. I 119 00:07:48,356 --> 00:07:51,316 Speaker 1: think even if we don't really believe that it's possible 120 00:07:51,396 --> 00:07:55,276 Speaker 1: right now at the peak of our epidemics, we definitely 121 00:07:55,316 --> 00:07:58,796 Speaker 1: need to have contact tracing set up and established and 122 00:07:58,956 --> 00:08:02,236 Speaker 1: robust for when we do all start coming back into 123 00:08:02,636 --> 00:08:05,276 Speaker 1: circulation and moving around, when we get to the bottom 124 00:08:05,276 --> 00:08:08,356 Speaker 1: of our plateau, because we're going to have other waves 125 00:08:08,356 --> 00:08:10,876 Speaker 1: of illness and we need to be able to blunt 126 00:08:10,916 --> 00:08:13,756 Speaker 1: those much more aggressively than we did with this first wave. 127 00:08:14,316 --> 00:08:17,076 Speaker 1: If you have a thousand contact tracers up and doing 128 00:08:17,116 --> 00:08:21,156 Speaker 1: their jobs at their phones, and you have two thousand 129 00:08:21,196 --> 00:08:24,996 Speaker 1: cases in a day, does that ratio work? I mean, 130 00:08:25,036 --> 00:08:28,116 Speaker 1: how long does it take one contact tracer to trace 131 00:08:28,196 --> 00:08:30,596 Speaker 1: all of the contacts of a person? So I think 132 00:08:30,636 --> 00:08:34,316 Speaker 1: the first job is really the case investigation, so they 133 00:08:34,316 --> 00:08:37,196 Speaker 1: speak to the case. I've spoken with some people who 134 00:08:37,236 --> 00:08:39,996 Speaker 1: are working on this now and they say that first 135 00:08:39,996 --> 00:08:43,556 Speaker 1: call can be forty minutes, forty five minutes. Speaking to 136 00:08:43,676 --> 00:08:47,516 Speaker 1: contacts can be shorter. Some contacts don't answer the phone. 137 00:08:48,116 --> 00:08:52,356 Speaker 1: Some contacts immediately say okay, no problem. Others may take 138 00:08:52,396 --> 00:08:56,916 Speaker 1: a little more time. Others may be in difficulties, you know, 139 00:08:56,956 --> 00:08:58,916 Speaker 1: they're worried about their job. They need to be referred 140 00:08:58,916 --> 00:09:02,756 Speaker 1: to social services. It's not a fast task, so that 141 00:09:03,196 --> 00:09:06,916 Speaker 1: I grant you, It is not fast. And how does 142 00:09:06,956 --> 00:09:10,156 Speaker 1: one find people whose phone numbers one doesn't know, or 143 00:09:10,156 --> 00:09:11,716 Speaker 1: whose name is one doesn't know. Do you just have 144 00:09:11,716 --> 00:09:13,236 Speaker 1: to sort of give up on that person you try 145 00:09:13,236 --> 00:09:15,596 Speaker 1: to use some reasonable detective efforts to find them. Yeah, 146 00:09:15,636 --> 00:09:19,996 Speaker 1: I think you know. Again. Contact tracing historically is a 147 00:09:19,996 --> 00:09:24,436 Speaker 1: pretty nuanced activity, and the people who are trained to 148 00:09:24,476 --> 00:09:29,516 Speaker 1: do it in normal public health circumstances are like investigators. 149 00:09:29,516 --> 00:09:33,276 Speaker 1: They're like disease detectives. They tried to understand what's going on. 150 00:09:33,396 --> 00:09:37,596 Speaker 1: They tried to look at how many contacts became sick, 151 00:09:37,636 --> 00:09:40,396 Speaker 1: and so if many of the contacts became sick, you 152 00:09:40,476 --> 00:09:43,876 Speaker 1: might need to do a deeper investigation. It's nuanced, and 153 00:09:43,996 --> 00:09:46,716 Speaker 1: we are in the middle of this massive crisis in 154 00:09:46,756 --> 00:09:52,836 Speaker 1: some ways, you know, trying to adapt what's a thoughtful 155 00:09:52,876 --> 00:09:56,956 Speaker 1: and specialized and very human interaction into perhaps something that 156 00:09:56,996 --> 00:10:00,876 Speaker 1: can happen faster. But yes, one may not know all 157 00:10:00,876 --> 00:10:03,036 Speaker 1: of the people that you were in contact with. If 158 00:10:03,076 --> 00:10:06,316 Speaker 1: you took a bus or a commuter rail, you may 159 00:10:06,316 --> 00:10:08,876 Speaker 1: have been in the same car as someone for twenty minutes. 160 00:10:09,236 --> 00:10:11,516 Speaker 1: You don't know who they are. So there are certainly 161 00:10:11,516 --> 00:10:17,036 Speaker 1: weaknesses in the capacity at this level of scale to 162 00:10:17,196 --> 00:10:20,596 Speaker 1: do it. If we look at say South Korea, who 163 00:10:20,956 --> 00:10:26,556 Speaker 1: had a very successful containment effort. They used many components 164 00:10:26,596 --> 00:10:30,916 Speaker 1: to their contact tracing activities. They looked at closed circuit television, 165 00:10:31,436 --> 00:10:35,676 Speaker 1: they looked at credit card transactions. They had a lot 166 00:10:35,756 --> 00:10:38,476 Speaker 1: of components to their contact tracing, and they had large 167 00:10:38,556 --> 00:10:42,636 Speaker 1: numbers of people doing it. So I think on principle, 168 00:10:43,036 --> 00:10:45,636 Speaker 1: it's clear that it works. And I think the question 169 00:10:45,676 --> 00:10:48,876 Speaker 1: that you're coming back to me with is really is 170 00:10:48,916 --> 00:10:53,076 Speaker 1: this feasible at the scale that we're at. And my 171 00:10:53,636 --> 00:10:56,996 Speaker 1: response to that is, we have to make it feasible, 172 00:10:57,236 --> 00:11:01,076 Speaker 1: because in the absence of a vaccine, in the absence 173 00:11:01,116 --> 00:11:06,036 Speaker 1: of a treatment, if we don't try to expand our 174 00:11:06,076 --> 00:11:09,316 Speaker 1: contact tracing, I don't really see other solutions for us 175 00:11:09,596 --> 00:11:12,356 Speaker 1: for the eyebreak. We'll be back in just a moment. 176 00:11:21,596 --> 00:11:26,236 Speaker 1: You mentioned the obvious appeal of so called digital contact 177 00:11:26,276 --> 00:11:30,196 Speaker 1: tracing or automated depending on what terminology you like better, 178 00:11:30,236 --> 00:11:32,156 Speaker 1: as opposed to the manual or what I would call 179 00:11:32,196 --> 00:11:36,436 Speaker 1: the human form. And South Korea has gotten attention for 180 00:11:36,676 --> 00:11:40,956 Speaker 1: what it's done. Israel has also gotten attention, positive and negative, 181 00:11:41,076 --> 00:11:44,596 Speaker 1: for the fact that it's internal intelligence services. Just told 182 00:11:44,636 --> 00:11:46,716 Speaker 1: everybody one day, by the way we've been tracking where 183 00:11:46,756 --> 00:11:50,196 Speaker 1: you all are on your GPS phone data this entire time, 184 00:11:50,396 --> 00:11:53,196 Speaker 1: and now we're going to put that to COVID. I 185 00:11:53,196 --> 00:11:55,276 Speaker 1: actually know somebody who, as far as she knows, she 186 00:11:55,396 --> 00:11:57,636 Speaker 1: was just in her house and she got a text 187 00:11:57,676 --> 00:12:00,996 Speaker 1: message from the Internal Security Services in Israel saying you've 188 00:12:01,036 --> 00:12:04,116 Speaker 1: been close to somebody who has the virus, and you know, 189 00:12:04,156 --> 00:12:06,716 Speaker 1: she tried to reach some human being to say no, 190 00:12:06,836 --> 00:12:09,436 Speaker 1: I wasn't you know, maybe someone stood outside my housin 191 00:12:09,476 --> 00:12:12,196 Speaker 1: smoked a cigarette, but she wasn't able to reach anybody, 192 00:12:12,236 --> 00:12:16,396 Speaker 1: so she self isolated. So that's a very immediately intrusive 193 00:12:16,396 --> 00:12:19,316 Speaker 1: form of this. My questions about this are really fond 194 00:12:19,396 --> 00:12:23,956 Speaker 1: of two categories. One is can it work? That's question one, 195 00:12:24,076 --> 00:12:26,916 Speaker 1: and then question two will be can it be ethical? 196 00:12:27,436 --> 00:12:31,356 Speaker 1: So I think we see that it can work because 197 00:12:31,516 --> 00:12:38,196 Speaker 1: it has worked. So it worked in South Korea, some 198 00:12:38,236 --> 00:12:41,716 Speaker 1: component of it worked in Wuhan, and actually, from a 199 00:12:41,756 --> 00:12:46,236 Speaker 1: public health perspective, if we could identify every case and 200 00:12:46,916 --> 00:12:50,036 Speaker 1: identify every person who'd been in contact with that case 201 00:12:50,796 --> 00:12:55,516 Speaker 1: and isolate them, we would be able to stop transmission. 202 00:12:56,196 --> 00:13:00,196 Speaker 1: So theoretically it can work, and in practice we've seen 203 00:13:00,396 --> 00:13:03,316 Speaker 1: places being able to implement it, especially at the beginning 204 00:13:03,396 --> 00:13:08,596 Speaker 1: of their eyebreaks. So I do think it's feasible. The 205 00:13:08,716 --> 00:13:14,476 Speaker 1: question is, in terms of technology, what can work Bluetooth. 206 00:13:14,596 --> 00:13:18,716 Speaker 1: I'm learning a lot about. It's very interesting because our phones, 207 00:13:18,836 --> 00:13:22,556 Speaker 1: if they have Bluetooth in it, are emitting Bluetooth signals 208 00:13:22,636 --> 00:13:26,116 Speaker 1: all the time. And the idea that your phone itself 209 00:13:26,356 --> 00:13:30,236 Speaker 1: could identify other phones that you have been around and 210 00:13:30,396 --> 00:13:33,556 Speaker 1: hold that information for some period of time and then 211 00:13:33,676 --> 00:13:38,116 Speaker 1: notify you if and only if another phone gets flagged 212 00:13:38,156 --> 00:13:42,356 Speaker 1: as being infected. It's an interesting opportunity to use a 213 00:13:42,396 --> 00:13:45,436 Speaker 1: piece of technology that already exists, that many of us 214 00:13:45,516 --> 00:13:48,876 Speaker 1: already have. So I think the idea of using Bluetooth 215 00:13:48,916 --> 00:13:53,116 Speaker 1: proximity to try to help discover contacts is a very 216 00:13:53,156 --> 00:13:57,076 Speaker 1: interesting and intriguing idea, And I think we have to 217 00:13:57,116 --> 00:14:01,556 Speaker 1: figure out how it can be used, how accurate it is, 218 00:14:02,156 --> 00:14:05,836 Speaker 1: how many false alarms it might give, how well it 219 00:14:05,916 --> 00:14:08,716 Speaker 1: is at picking up whether you've been within six feet 220 00:14:08,876 --> 00:14:10,596 Speaker 1: or if that's an error, If it can tell if 221 00:14:10,596 --> 00:14:12,396 Speaker 1: there's a wall between your six feed like. There are 222 00:14:12,436 --> 00:14:15,236 Speaker 1: many questions about it, but I do think it's intriguing 223 00:14:15,916 --> 00:14:20,276 Speaker 1: and it's very laborious to do all the manual tracing yourself. 224 00:14:20,676 --> 00:14:23,116 Speaker 1: So I think technology should be able to help us. 225 00:14:24,356 --> 00:14:27,116 Speaker 1: Here's what seems to me to be the biggest challenge 226 00:14:27,116 --> 00:14:30,156 Speaker 1: there in order to do the human contact tracing, the 227 00:14:30,236 --> 00:14:34,036 Speaker 1: manual contact tracing. You said, what triggers the whole thing 228 00:14:34,116 --> 00:14:36,996 Speaker 1: is that the public health authorities are informed that someone 229 00:14:37,076 --> 00:14:39,516 Speaker 1: has had a positive test, and the people who are 230 00:14:39,516 --> 00:14:42,356 Speaker 1: doing the contact tracing are indirectly working for the government. 231 00:14:42,356 --> 00:14:46,516 Speaker 1: And if you're going to connect up the digital data 232 00:14:46,716 --> 00:14:50,116 Speaker 1: to actual human tracing in order to give people the 233 00:14:50,236 --> 00:14:54,676 Speaker 1: support and advice that you need, at some point you're 234 00:14:54,676 --> 00:14:57,636 Speaker 1: going to have to connect the digital data that's been 235 00:14:57,676 --> 00:15:00,436 Speaker 1: gathered to the real human being who is connected to 236 00:15:00,476 --> 00:15:02,836 Speaker 1: the government. And I imagine there are some barriers we 237 00:15:02,876 --> 00:15:06,116 Speaker 1: could put there to maybe keep certain aspects of the 238 00:15:06,196 --> 00:15:08,716 Speaker 1: data from the government. But I think for the ordinary 239 00:15:08,716 --> 00:15:12,116 Speaker 1: person going to think, well, look if my phone tells 240 00:15:12,476 --> 00:15:15,276 Speaker 1: somebody everyone I've seen and what that means where I've been, 241 00:15:15,396 --> 00:15:19,436 Speaker 1: that effectively the government is going to know that. How 242 00:15:19,476 --> 00:15:22,676 Speaker 1: does one begin to think about making people feel safe 243 00:15:22,676 --> 00:15:27,996 Speaker 1: and secure under those circumstances in the normal process. COVID 244 00:15:28,076 --> 00:15:32,876 Speaker 1: nineteen is a notifiable illness Therefore, anyone who runs a 245 00:15:32,916 --> 00:15:37,116 Speaker 1: test a laboratory, who runs the test, they must notify 246 00:15:37,556 --> 00:15:41,716 Speaker 1: the public health authorities of a positive result. So already 247 00:15:42,076 --> 00:15:46,476 Speaker 1: there's a kind of trust given to the state about 248 00:15:46,476 --> 00:15:49,836 Speaker 1: a medical condition. I think many people don't realize that 249 00:15:49,836 --> 00:15:53,916 Speaker 1: that exists. Already. There are notifiable diseases. They've always been 250 00:15:53,956 --> 00:15:58,476 Speaker 1: notifiable diseases that the public health authorities are told about 251 00:15:59,116 --> 00:16:01,276 Speaker 1: with your name, not just that there is a kise. Yes, 252 00:16:03,836 --> 00:16:08,116 Speaker 1: effilment has this problem, and that is what normally triggers 253 00:16:08,796 --> 00:16:13,596 Speaker 1: case investigators and contact tracers for other illnesses, although of 254 00:16:13,636 --> 00:16:16,636 Speaker 1: course they're much more snow moving in general, so it 255 00:16:16,676 --> 00:16:19,436 Speaker 1: happens at a much smaller volume. So no one has 256 00:16:19,476 --> 00:16:22,876 Speaker 1: really heard of contact tracing before. So if in a 257 00:16:22,956 --> 00:16:25,916 Speaker 1: perfect I'm calling it a human system. But of course 258 00:16:25,956 --> 00:16:28,276 Speaker 1: the people who do this for a living keep reminding me, 259 00:16:28,436 --> 00:16:32,796 Speaker 1: like we use software, it's not an unaided human process exactly. 260 00:16:33,076 --> 00:16:36,316 Speaker 1: But if you had a perfect process, there would be 261 00:16:36,356 --> 00:16:41,036 Speaker 1: this huge notebook or database that already did have all 262 00:16:41,076 --> 00:16:44,116 Speaker 1: your contacts and all your information, and we already allow 263 00:16:44,236 --> 00:16:49,436 Speaker 1: that to happen in the public interest because of notifiable infections. 264 00:16:50,156 --> 00:16:53,596 Speaker 1: The interesting thing is that the human ability to do 265 00:16:53,636 --> 00:16:57,396 Speaker 1: that is flawed, and so that massive database is not 266 00:16:57,476 --> 00:17:02,556 Speaker 1: really there. And also in Massachusetts, for example, there are 267 00:17:02,596 --> 00:17:05,396 Speaker 1: three hundred and fifty one boards of health. Those are 268 00:17:05,476 --> 00:17:08,956 Speaker 1: municipal boards of health essentially county and municipal authorities exactly, 269 00:17:09,196 --> 00:17:13,396 Speaker 1: And so there's some decentralization of the process, there's some 270 00:17:13,756 --> 00:17:16,756 Speaker 1: kind of enactment of local authorities to do things. So 271 00:17:16,796 --> 00:17:22,476 Speaker 1: there's not one massive, big data set of where everyone 272 00:17:22,516 --> 00:17:24,276 Speaker 1: has been and who they've been in contact with, but 273 00:17:24,356 --> 00:17:28,076 Speaker 1: in theory there could be. And yet when we propose 274 00:17:28,196 --> 00:17:32,196 Speaker 1: to do that through technology, it does increase I think 275 00:17:32,276 --> 00:17:35,316 Speaker 1: both the power of that creation of a data set, 276 00:17:35,316 --> 00:17:38,836 Speaker 1: which makes us concerned rightly so, and I think it 277 00:17:38,956 --> 00:17:44,996 Speaker 1: also would potentially increase the scale of the data that's available, 278 00:17:44,996 --> 00:17:47,676 Speaker 1: and it would congregate it in a single place potentially, 279 00:17:48,116 --> 00:17:52,876 Speaker 1: and it makes people concerned understandably about having a data 280 00:17:52,876 --> 00:17:57,516 Speaker 1: set that others could access or use. So two people 281 00:17:57,556 --> 00:18:00,596 Speaker 1: who I've been listening very carefully to and learning a 282 00:18:00,596 --> 00:18:05,756 Speaker 1: lot from in the discussion about digital tools, especially bluetooth tools, 283 00:18:05,796 --> 00:18:09,356 Speaker 1: have been a professor Ron Revest and Dannie Weisner, both 284 00:18:09,436 --> 00:18:15,436 Speaker 1: at mit Ron actually created this group which creates a 285 00:18:15,476 --> 00:18:23,196 Speaker 1: protocol a Bluetooth Proximity protocol CULPACKED that would ostensibly always 286 00:18:23,236 --> 00:18:27,476 Speaker 1: have the information remaining on the phone and really only 287 00:18:27,516 --> 00:18:32,956 Speaker 1: allow anonymized information into a centralized cloud. What Apple and 288 00:18:32,996 --> 00:18:38,716 Speaker 1: Google have proposed to do with their operating systems on 289 00:18:38,836 --> 00:18:42,516 Speaker 1: iPhones and androids to as far as I can see, 290 00:18:42,756 --> 00:18:46,836 Speaker 1: is following the recommendations that are in the PACKED protocol 291 00:18:47,396 --> 00:18:51,116 Speaker 1: that Ron has led, and that will maintain a degree 292 00:18:51,276 --> 00:18:57,596 Speaker 1: of privacy for individuals. That seems robust technological solutions, I'm 293 00:18:57,636 --> 00:19:00,276 Speaker 1: sure are part of the answer here, but they will 294 00:19:00,276 --> 00:19:04,116 Speaker 1: also have to be a policy component to it as well, 295 00:19:04,276 --> 00:19:08,916 Speaker 1: especially if we need to ultimately connect the data on 296 00:19:08,956 --> 00:19:12,676 Speaker 1: people's phones about their contact to human tracing. The state 297 00:19:12,716 --> 00:19:15,556 Speaker 1: will have to make a policy decision about that in 298 00:19:15,676 --> 00:19:18,876 Speaker 1: light of the full set of public values and public 299 00:19:18,916 --> 00:19:20,836 Speaker 1: norms and constitutional rules in it. That's going to be 300 00:19:20,876 --> 00:19:26,076 Speaker 1: a tricky moment. Yeah, no single component of addressing the 301 00:19:26,116 --> 00:19:31,196 Speaker 1: pandemic will work on its own. It just won't. Outbreaks 302 00:19:31,236 --> 00:19:38,876 Speaker 1: are complex social phenomena as well as scientific events, so 303 00:19:39,196 --> 00:19:45,756 Speaker 1: we have to have a comprehensive, integrated approach that acknowledges 304 00:19:45,876 --> 00:19:51,516 Speaker 1: that humans don't make rational choices, that the virus is 305 00:19:51,756 --> 00:19:55,236 Speaker 1: brand new and we're still learning about it. That we 306 00:19:55,316 --> 00:19:58,516 Speaker 1: have to test more, that we have to connect testing 307 00:19:58,556 --> 00:20:02,916 Speaker 1: to contact tracing, that some people can't self isolate without support, 308 00:20:03,556 --> 00:20:06,876 Speaker 1: that some people a particularly vulnerable boat to being infected, 309 00:20:07,356 --> 00:20:11,116 Speaker 1: and to the solutions we're proposed here, like the contact racing, 310 00:20:11,556 --> 00:20:15,716 Speaker 1: and that we have to have a smart approach that 311 00:20:16,556 --> 00:20:20,156 Speaker 1: can take care of the most vulnerable people, take care 312 00:20:20,196 --> 00:20:24,356 Speaker 1: of sick people, help other people from getting infected, and 313 00:20:24,476 --> 00:20:28,876 Speaker 1: allow us to start going back into society. Again, no 314 00:20:29,276 --> 00:20:32,636 Speaker 1: one thing is a silver bullet, and it really requires 315 00:20:33,396 --> 00:20:38,476 Speaker 1: strong leadership that has good scientific understanding and that embraces 316 00:20:39,036 --> 00:20:43,156 Speaker 1: the social component of disease as well as just the 317 00:20:43,236 --> 00:20:47,836 Speaker 1: medical component of disease. Sometimes when I'm listening to the 318 00:20:47,836 --> 00:20:52,356 Speaker 1: debates about should we quote unquote reopen things, it starts 319 00:20:52,396 --> 00:20:55,796 Speaker 1: with some people saying no, too dangerous, other people saying 320 00:20:55,796 --> 00:20:58,756 Speaker 1: we must do it, and then comes a sort of 321 00:20:58,836 --> 00:21:03,356 Speaker 1: reasonable voice saying, well, we can reopen once we have 322 00:21:03,756 --> 00:21:09,716 Speaker 1: sufficient testing and sufficient contact tracing and supported isolation, and 323 00:21:09,836 --> 00:21:13,076 Speaker 1: in a kind of Goldilocks way that seems to be, 324 00:21:13,516 --> 00:21:16,956 Speaker 1: you know, the reasonable middle answer. One takeaway from me 325 00:21:17,036 --> 00:21:19,396 Speaker 1: of our conversation is that it actually may not be 326 00:21:19,436 --> 00:21:23,116 Speaker 1: that simple, and that the presence of robust testing and 327 00:21:23,196 --> 00:21:28,756 Speaker 1: robust contact tracing where there's community spread doesn't guarantee successful 328 00:21:28,916 --> 00:21:32,676 Speaker 1: control of the epidemic. Am I hearing you correctly in 329 00:21:32,716 --> 00:21:35,956 Speaker 1: that regard? I think you know so. I'm an infectious 330 00:21:35,956 --> 00:21:39,876 Speaker 1: diseases doctor at Mass Journal Hospital in Boston, and as 331 00:21:39,956 --> 00:21:43,196 Speaker 1: a doctor in the hospital, it's been really terrifying over 332 00:21:43,236 --> 00:21:45,996 Speaker 1: the last few weeks to see our cases going up 333 00:21:46,036 --> 00:21:48,796 Speaker 1: and up and up. So I think that some of 334 00:21:48,836 --> 00:21:53,236 Speaker 1: the hesitancies about reopening, so to speak, are that we 335 00:21:53,316 --> 00:21:58,196 Speaker 1: fear that reopening in a trickle wouldn't really work and 336 00:21:58,276 --> 00:22:02,756 Speaker 1: that we would quickly become overwhelmed. And I think the 337 00:22:02,956 --> 00:22:08,436 Speaker 1: tentativeness over the medical side's capacity to care for sick 338 00:22:08,476 --> 00:22:14,716 Speaker 1: people is really understandably a large part of the hesitancy 339 00:22:15,356 --> 00:22:18,276 Speaker 1: in terms of opening up. I do think if we 340 00:22:18,356 --> 00:22:21,636 Speaker 1: have really widespread testing, but we have to scale up 341 00:22:21,636 --> 00:22:24,676 Speaker 1: testing really a lot, a lot more than we're doing, 342 00:22:25,276 --> 00:22:29,236 Speaker 1: and if we have robust contact tracing in place, we 343 00:22:29,356 --> 00:22:34,236 Speaker 1: could start reopening. The fear is that that brings us 344 00:22:34,276 --> 00:22:37,076 Speaker 1: into a certain amounte of uncertainty, and none of us 345 00:22:37,116 --> 00:22:41,316 Speaker 1: like uncertainty. We're really fearful that our hospitals will be 346 00:22:41,556 --> 00:22:45,276 Speaker 1: overwhelmed and that people will die unnecessarily. And that's a 347 00:22:45,316 --> 00:22:50,076 Speaker 1: scary thought. But at some point, you know, my opinion 348 00:22:50,196 --> 00:22:53,436 Speaker 1: is that we have to make a plan. I think. 349 00:22:53,916 --> 00:22:57,076 Speaker 1: I think the biggest challenge right now is that I 350 00:22:57,116 --> 00:23:00,436 Speaker 1: don't really see the plan. I haven't seen the plan. 351 00:23:02,076 --> 00:23:05,556 Speaker 1: You have you seen the plan? The plan, you know, 352 00:23:05,796 --> 00:23:08,276 Speaker 1: and if you haven't seen it and I haven't seen it, 353 00:23:08,316 --> 00:23:10,836 Speaker 1: there is no plan. I mean, I think, Yeah, there's 354 00:23:10,836 --> 00:23:14,436 Speaker 1: a lot of magical thinking. There's a lot of thought about, well, 355 00:23:14,476 --> 00:23:17,396 Speaker 1: maybe we could hold out until there's a vaccine, but 356 00:23:17,436 --> 00:23:19,076 Speaker 1: there may not be a vaccine. There's a lot of 357 00:23:19,076 --> 00:23:21,236 Speaker 1: thought of we have to hold out until the therapies 358 00:23:21,276 --> 00:23:23,396 Speaker 1: get much better, but we don't have any guarantee that 359 00:23:23,396 --> 00:23:25,916 Speaker 1: the therapies will work. And then the fallback is when 360 00:23:25,916 --> 00:23:28,556 Speaker 1: people say herd immunity in some generic sense, as though 361 00:23:28,556 --> 00:23:32,236 Speaker 1: they knew exactly what that meant. And that's obviously a 362 00:23:32,276 --> 00:23:34,236 Speaker 1: scenario in which you will be very difficult to avoid 363 00:23:34,276 --> 00:23:37,996 Speaker 1: overwhelming the hospital. So I agree with you. So I 364 00:23:38,076 --> 00:23:41,116 Speaker 1: have in my global health career, spent a lot of 365 00:23:41,156 --> 00:23:45,916 Speaker 1: time responding to eyebreaks. You know, none like this but 366 00:23:46,956 --> 00:23:50,836 Speaker 1: in disaster settings, you know, you have to move quickly 367 00:23:51,476 --> 00:23:55,996 Speaker 1: and make decisions in the context of uncertainty. You know, 368 00:23:56,156 --> 00:23:58,956 Speaker 1: in the US we are not as used to doing 369 00:23:58,996 --> 00:24:04,796 Speaker 1: that because we have always really got the resources to 370 00:24:05,116 --> 00:24:07,796 Speaker 1: do the modeling and get the science and wait until 371 00:24:07,836 --> 00:24:11,076 Speaker 1: it's perfect. And I think we have to move ahead 372 00:24:11,996 --> 00:24:16,476 Speaker 1: with making decisions that are imperfect using the best data 373 00:24:16,516 --> 00:24:18,196 Speaker 1: that we have. But we do have to use the 374 00:24:18,276 --> 00:24:21,756 Speaker 1: data that we have. I mean, we have to move forward. 375 00:24:22,556 --> 00:24:26,916 Speaker 1: So you know, technology and other ideas they may seem ambitious, 376 00:24:26,956 --> 00:24:30,316 Speaker 1: contact tracing might seem oh, it's not feasible, it's too many, 377 00:24:30,396 --> 00:24:34,716 Speaker 1: But the way to be successful is just to take 378 00:24:35,036 --> 00:24:39,236 Speaker 1: the next step forward and believe it's possible and keep 379 00:24:39,276 --> 00:24:42,636 Speaker 1: building it as you're doing it. I think that's what 380 00:24:42,796 --> 00:24:46,276 Speaker 1: we have to think about, or else, you know, we're 381 00:24:46,276 --> 00:24:49,476 Speaker 1: just going to be struck. Thank you so much. This 382 00:24:49,636 --> 00:24:52,516 Speaker 1: is tremendously clarifying, and there are bits of it that 383 00:24:52,596 --> 00:24:55,556 Speaker 1: are inspiring and make one think there is a way forward, 384 00:24:55,556 --> 00:24:57,636 Speaker 1: and then there are bits of it that cause one 385 00:24:57,676 --> 00:25:00,636 Speaker 1: to feel a bit more panic. And I really appreciate 386 00:25:00,636 --> 00:25:02,796 Speaker 1: it your honestly about it. Thank you all right, thank 387 00:25:02,796 --> 00:25:07,436 Speaker 1: you Here on deep background. We've spoken to several guests 388 00:25:07,636 --> 00:25:10,836 Speaker 1: who focused on the mechan that we can use gradually 389 00:25:10,836 --> 00:25:13,676 Speaker 1: to emerge from the conditions of social isolation that we're 390 00:25:13,676 --> 00:25:17,356 Speaker 1: presently in. Testing has been a consistent theme that we've 391 00:25:17,396 --> 00:25:20,876 Speaker 1: heard about again and again and again, more and better testing. 392 00:25:21,676 --> 00:25:24,796 Speaker 1: Speaking to doctor Ivers makes it clear that the testing 393 00:25:24,956 --> 00:25:28,436 Speaker 1: is primarily valuable, however, to the extent that it is 394 00:25:28,476 --> 00:25:32,596 Speaker 1: then used to lead to contact tracing, and the idea 395 00:25:32,676 --> 00:25:35,996 Speaker 1: is that contact tracing itself can help manage the disease. 396 00:25:36,836 --> 00:25:39,276 Speaker 1: This may be the only long run strategy that can 397 00:25:39,316 --> 00:25:41,836 Speaker 1: be used in the absence of a vaccine and in 398 00:25:41,876 --> 00:25:45,836 Speaker 1: the absence of better therapies. But contact tracing on its 399 00:25:45,836 --> 00:25:49,396 Speaker 1: own is not a magic bullet. You have to reach 400 00:25:49,556 --> 00:25:52,956 Speaker 1: enough people and that's a challenge. It's also very difficult 401 00:25:52,996 --> 00:25:55,876 Speaker 1: to make contact tracing work in a scenario where as 402 00:25:55,916 --> 00:25:59,116 Speaker 1: we have, the disease has spread into the entire community 403 00:25:59,116 --> 00:26:01,716 Speaker 1: and we're not just tracking down a handful of names. 404 00:26:03,356 --> 00:26:05,676 Speaker 1: Contact tracing is going to be central to our public 405 00:26:05,676 --> 00:26:10,276 Speaker 1: discussion in the weeks and months ahead, its successes, its limitations, 406 00:26:10,396 --> 00:26:13,076 Speaker 1: and the challenges that it faces. We will keep a 407 00:26:13,076 --> 00:26:15,996 Speaker 1: close eye on this subject going forward and come back 408 00:26:15,996 --> 00:26:19,236 Speaker 1: to you with more about contact tracing as this story develops. 409 00:26:20,236 --> 00:26:23,516 Speaker 1: Until I speak to you next time, Be careful, be safe, 410 00:26:23,756 --> 00:26:27,236 Speaker 1: and be well. Deep Background is brought to you by 411 00:26:27,316 --> 00:26:31,276 Speaker 1: Pushkin Industries. Our producer is Lydia gene Coott, with research 412 00:26:31,316 --> 00:26:34,876 Speaker 1: help from zooe Wynn. Mastering is by Jason Gambrell and 413 00:26:34,916 --> 00:26:38,876 Speaker 1: Martin Gonzalez. Our showrunner is Sophie mckibbon. Our theme music 414 00:26:38,956 --> 00:26:42,316 Speaker 1: is composed by Luis GERA special thanks to the Pushkin Brass, 415 00:26:42,596 --> 00:26:46,516 Speaker 1: Malcolm Gladwell, Jacob Weisberg, and Mia Lobel. I'm Noah Feldman. 416 00:26:46,956 --> 00:26:49,676 Speaker 1: I also write a regular column from Bloomberg Opinion, which 417 00:26:49,676 --> 00:26:52,956 Speaker 1: you can find at Bloomberg dot com slash Feldman. To 418 00:26:53,036 --> 00:26:56,596 Speaker 1: discover Bloomberg's original slate of podcasts, go to Bloomberg dot 419 00:26:56,636 --> 00:27:00,356 Speaker 1: com slash Podcasts. You can follow me on Twitter at 420 00:27:00,436 --> 00:27:03,556 Speaker 1: Noah R. Feldman. This is Deep Background.