1 00:00:02,210 --> 00:00:04,940 So I think John Bell, this is our third interview. 2 00:00:04,940 --> 00:00:12,320 And I'd just like to start by talking about how the whole pandemic experience impacted you personally. 3 00:00:13,250 --> 00:00:20,570 I mean, first of all, that you had presumably I know you had lots of other responsibilities, but you also had a lab research program going. 4 00:00:21,210 --> 00:00:28,550 What happened to that? Well, so so actually, the truth is, I have the odd graduate student here, there, but I don't run a big lab. 5 00:00:28,550 --> 00:00:40,280 So it meant it was easier for me not to be engaged in direct research myself, but to be sitting in the middle trying to mix this with that. 6 00:00:40,280 --> 00:00:46,250 So that that was sort of where that ended up. I was your lab doing any COVID research? 7 00:00:46,550 --> 00:00:51,050 No, no, no, no, no, no. I so I. 8 00:00:51,320 --> 00:00:58,160 Yeah, my lab is pretty distributed, so I've got a graduate because I get other people to take graduate students that I could supervise. 9 00:00:58,250 --> 00:01:02,860 Right. Because I spend so much time in London. Yeah. I can't really run. 10 00:01:02,870 --> 00:01:05,290 It's the same reason I gave up clinical work right. 11 00:01:05,360 --> 00:01:11,989 Ten years ago was that couldn't I can't can be in London talking to a minister when somebody rings up because one of my patients is dying. 12 00:01:11,990 --> 00:01:13,160 So I couldn't do that. 13 00:01:13,160 --> 00:01:22,549 So, so, so I, I spend quite a bit of time milling around, helping stuff happen strategically, getting the right people to talk to each other, 14 00:01:22,550 --> 00:01:26,690 but also setting strategies as to what needs to happen and finding people to get that stuff done. 15 00:01:26,690 --> 00:01:30,530 So so that this wasn't a change. I do that. 16 00:01:30,530 --> 00:01:34,640 That's what I do on a day to day basis. And so this was not a change in that at all. 17 00:01:35,480 --> 00:01:43,190 The thing the only thing that changed was the pace at which that kind of activity was required. 18 00:01:43,790 --> 00:01:55,660 And it started with a lot of discussions between myself and Jeremy Fellow at the Wellcome Trust, Trevor Mandela Gates Foundation. 19 00:01:55,670 --> 00:02:05,270 You know, the people who I interact with at a senior level in those organisations thinking about whether this was going to be a pandemic or not. 20 00:02:05,270 --> 00:02:11,910 So January 2020, actually in December 2019, you know, what is it? 21 00:02:12,230 --> 00:02:18,990 What's going to happen? Can we anticipate where it's going to go and what's the UK doing to sort it out? 22 00:02:19,010 --> 00:02:24,110 And I think we through through January for sure, 23 00:02:24,110 --> 00:02:29,749 we were all a bit frustrated because it didn't seem to be any there didn't seem to be any response at all. 24 00:02:29,750 --> 00:02:33,500 And there was a kind of damping down. Nobody should worry. 25 00:02:33,740 --> 00:02:36,889 It's not going to get here. It's not really a pandemic. Don't worry. Don't worry. 26 00:02:36,890 --> 00:02:44,390 Don't. And so that kind of rumbled on until two things happened. 27 00:02:44,420 --> 00:02:51,720 One was the outbreak in Italy, which then tore through Lombardy and collapsed their health care system. 28 00:02:53,060 --> 00:02:59,270 And secondly, the first initial sentinel cases in the UK, which were that couple, 29 00:02:59,420 --> 00:03:05,480 the Chinese couple in New York, and the guys who'd been on a skiing holiday in Austria or something like that. 30 00:03:05,990 --> 00:03:10,490 So they were the first case, COVID recovery. I think we covered most of that in the first interview. 31 00:03:10,490 --> 00:03:14,149 So I'm really I'm really trying to get at the impact on you personally. 32 00:03:14,150 --> 00:03:21,469 So you set the pace increased. So that I mean, one question I've just been asking everybody is did your working hours increase? 33 00:03:21,470 --> 00:03:25,190 And I'm sure you're somebody who works every other year anyway. But did you find yourself? 34 00:03:25,490 --> 00:03:33,200 Well, I was pretty busy up to so we could see the lockdown company coming and I was pretty busy up to the lockdown, 35 00:03:34,070 --> 00:03:37,420 particularly thinking about things like testing capacity. 36 00:03:37,430 --> 00:03:46,700 Yeah, I lockdown. I actually actually lockdown a week before the official lockdown because we decided just to get the kids home and lockdown at home. 37 00:03:46,760 --> 00:03:55,040 Yeah, but then the pace of stuff really escalated through that period of the initial weeks of the lockdown because you could see that. 38 00:03:56,630 --> 00:04:06,840 You could see the. You could see the pace of the pandemic really picking up in front of our eyes. 39 00:04:07,050 --> 00:04:11,070 And you could also see the impact of black preparedness starting to happen. 40 00:04:11,080 --> 00:04:19,100 So I would start the morning with a call with Lord Bethell, who is the junior minister, 41 00:04:19,100 --> 00:04:24,690 and he was the Lords minister in the Department of Health who was responsible for testing and the pandemic testing response. 42 00:04:25,680 --> 00:04:31,860 And I would spend half an hour to 45 minutes with him every morning talking about what time? 43 00:04:32,370 --> 00:04:36,750 7:00? Yeah. So I would be up and on the phone, cracking on. 44 00:04:37,590 --> 00:04:41,880 And we did that throughout the whole of the first year and all through the summer. 45 00:04:41,990 --> 00:04:45,810 You know, we're just boom, boom, boom. And we've got to be quite good friends. Actually, I still don't put it well. 46 00:04:46,290 --> 00:04:54,359 And in fairness to him, he did a really good job. I knew Matt Hancock because of course I advised Matt about life sciences before. 47 00:04:54,360 --> 00:04:58,830 So I was involved in lots of things with Matt. He brought me into lots of discussions. 48 00:05:00,100 --> 00:05:04,560 And Will Warr, who is one of my graduate students, was in number ten. 49 00:05:04,590 --> 00:05:09,480 So Will, of course, when they didn't know what to do, number ten would pick up the phone to me and say, What do we do next? 50 00:05:10,140 --> 00:05:13,970 So that dragged me into a whole set of different strands of activities. 51 00:05:13,980 --> 00:05:22,469 So my day would be involved in having meetings about the vaccine, having meetings about serological testing, 52 00:05:22,470 --> 00:05:26,610 analysing tests, having meetings about the Lighthouse Labs, which, as you know, we set up. 53 00:05:27,240 --> 00:05:34,280 And then ultimately lateral flow testing a little bit about clinical trials, whether that was really being done on its own. 54 00:05:34,290 --> 00:05:39,870 But I got in April, man did a lot of work on clinical trials, which ended up going nowhere, frankly. 55 00:05:41,010 --> 00:05:47,160 But the but that so that was it. And so I would start the morning and it would be one meeting after another. 56 00:05:47,790 --> 00:05:54,930 There'd be a lot of people who want as I guess after a month or two people wanted to hear 57 00:05:55,530 --> 00:06:01,770 what I thought was happening because there was a massive gap in information distribution. 58 00:06:02,490 --> 00:06:12,810 And I think the the general populace and indeed different organisations didn't trust the Government because they'd made such a hash of the beginning. 59 00:06:13,530 --> 00:06:15,929 And as a result, they wanted somebody independent to talk to them. 60 00:06:15,930 --> 00:06:25,020 So there was a lot of pressure from the press to be on the TV and on the radio, and that wasn't something that was new to you. 61 00:06:25,020 --> 00:06:30,959 I mean, you had done that kind of I'd done that. I'd done that time before, but I'd never done it at this pace, I have to say. 62 00:06:30,960 --> 00:06:36,200 And and I'd also never been I mean, these were everybody listen to these things. 63 00:06:36,210 --> 00:06:40,050 I mean, the stuff I did before, somebody might have heard you, but they weren't as bloody dull again. 64 00:06:40,380 --> 00:06:45,690 But this time, you know, you knew if you were on radio for there, you know, the whole bloody country had that radio thing. 65 00:06:45,990 --> 00:06:52,950 So it was there was quite a bit of pressure. And it was interesting because the government tried to stop me from doing that. 66 00:06:52,950 --> 00:06:56,010 Initially they they said, no, no, you can't talk to the press. 67 00:06:56,970 --> 00:07:02,330 And then they the press kept ringing the app saying, you've got to talk to us about again. 68 00:07:02,580 --> 00:07:05,670 And they said, Look, don't be so bloody ridiculous. I said, They don't pay your salary. 69 00:07:05,670 --> 00:07:06,660 You can talk to as you want. 70 00:07:06,960 --> 00:07:15,150 So in the end, after the third request to go on the Today programme, which had been denied by that, the guys in the HSC, I said, Well, screw this. 71 00:07:15,480 --> 00:07:19,110 So I went on and of course it was a big success for both. I was terrific. 72 00:07:19,110 --> 00:07:22,170 And then Matt Hancock commented, Oh my God. He said, That was terrific. 73 00:07:22,890 --> 00:07:24,480 So I said, Well, do you mind, Matt, 74 00:07:24,480 --> 00:07:31,799 if I do this because it might take the pressure off you guys because when you get on they ask you very different things than when I get on. 75 00:07:31,800 --> 00:07:38,100 So it actually helps cool the thing down. And at that stage I was telling people the testing was a mess. 76 00:07:38,280 --> 00:07:43,210 We're fixing it. We're on a trajectory. It's going to be fine. Everybody stay calm, seatbelts off. 77 00:07:43,440 --> 00:07:50,730 I'll be okay. So that said anyway, that, you know, it was up to a couple of times a week as I was on Channel four. 78 00:07:51,390 --> 00:07:59,550 I did a lot of stuff for ITV, I did breakfast TV and I did all that stuff for radio programmes, New World at one, all that stuff. 79 00:07:59,790 --> 00:08:09,270 So I got to be a sort of fairly familiar figure in the press, and I think if you analysed why that was, 80 00:08:09,720 --> 00:08:16,200 I tried very much to keep it simple and be positive because the truth is, none of us knew where this was all going. 81 00:08:16,440 --> 00:08:22,409 So if you don't know, then there's no harm in painting a slightly brighter picture than lots of other people going, 82 00:08:22,410 --> 00:08:26,280 Oh my God, the world was going to end. And I that was not my approach. 83 00:08:26,490 --> 00:08:31,350 And it turned out I was right and they were completely wrong. So that that was sort of helpful. 84 00:08:31,830 --> 00:08:36,970 But it was I, I almost invariably had stuff going into the evening. 85 00:08:37,370 --> 00:08:45,749 My family was at home and they were busy. The kids were trying to get some university work done and I was bloody hopeless and my wife had her 86 00:08:45,750 --> 00:08:49,950 own things that she had to do because she runs a lab and she was trying to keep that ticking along. 87 00:08:50,370 --> 00:08:55,739 So we had computers and Zoom calls from I had a little study which I worked in, 88 00:08:55,740 --> 00:08:59,340 and she worked out in the kitchen and the kids were up in their bedroom. 89 00:08:59,340 --> 00:09:01,640 So there's stuff going on all the time. And then we would a. 90 00:09:01,690 --> 00:09:08,590 Occasionally cross in the day and the kids would always be interested and say, what's happened today that I do now and then? 91 00:09:09,160 --> 00:09:10,420 And that would go then. 92 00:09:10,420 --> 00:09:16,620 I would usually try and break for dinner, but sometimes I couldn't because I was on a North American call, for example, that wasn't going to work. 93 00:09:18,700 --> 00:09:24,969 So I would probably normally come off the zoom call or come off what I was doing, 94 00:09:24,970 --> 00:09:31,000 because I was also trying to read a lot of papers to keep up to date with what people were saying and talk to, 95 00:09:31,240 --> 00:09:36,160 you know, key opinion leaders who knew what they were talking about. So talking to George Goude, to Jeremy Trevor, 96 00:09:36,430 --> 00:09:42,460 the people who actually knew what was happening in their own jurisdictions, I tried to abuse it back up about 10:00. 97 00:09:43,030 --> 00:09:48,610 I didn't usually go be on the ten, but it was sort of 7 to 10 with the odd break in the day. 98 00:09:49,360 --> 00:09:53,890 And I usually tried to break for dinner, although I occasionally had dinner in front of the zoom call. 99 00:09:54,100 --> 00:09:57,579 And how did that affect your wellbeing? 100 00:09:57,580 --> 00:10:01,510 I mean, some people thrive on adrenaline and some people know I was good. 101 00:10:01,640 --> 00:10:09,969 I was good. So I you know, I'm a pretty busy guy anyway, but it's very I mean, you have to understand, 102 00:10:09,970 --> 00:10:18,880 and I don't want this to be interpreted in the wrong way, but if you're a biomedical scientist slash immunologist, 103 00:10:20,470 --> 00:10:29,740 then this you know, the chance of this happening in your career is tiny and the chance of this happening in your 104 00:10:29,740 --> 00:10:35,500 career when you're at the top of the tree so you can actually get stuff done is even smaller. 105 00:10:35,500 --> 00:10:47,079 So, you know, I was I was in this position of significant authority and strategic I wouldn't say strategic control, 106 00:10:47,080 --> 00:10:54,580 but with an oversight of a lot of strategic decisions with which which was amazing because then you you had to make decisions. 107 00:10:55,240 --> 00:11:01,569 And something I learned because I do a lot of work with industry is that and this is something academics are not 108 00:11:01,570 --> 00:11:07,270 very good at is the most important thing is to make a decision it's not to think about that decision for too long. 109 00:11:07,270 --> 00:11:13,900 It's to make a decision and you have to accept that, provided at least half the decisions you make are the right ones, you'll be fine. 110 00:11:14,380 --> 00:11:22,090 And that so, you know, that was the attitude I took into this is let's just make some decisions if it's not working to stop or do something else. 111 00:11:22,090 --> 00:11:28,270 And so we could navigate this thing one way or another and, and not all the decisions we took were the right ones for sure. 112 00:11:28,690 --> 00:11:37,329 But that that that was it was a curious way, rather exhilarating, because every day you had a whole set of very, 113 00:11:37,330 --> 00:11:43,600 very big decisions that had to be taken or to which you could contribute a view. 114 00:11:44,140 --> 00:11:48,250 And that was yeah, that was good. 115 00:11:48,250 --> 00:11:52,510 So I, that was fine. I didn't, I didn't have sleepless nights. 116 00:11:52,510 --> 00:11:58,059 I went to bed, I slept, got up early in the morning. I, I ran every day at the beginning. 117 00:11:58,060 --> 00:12:01,780 I like to skull but I didn't skull because I was worried about stuff being in the 118 00:12:01,780 --> 00:12:07,929 river water because there was this story about story about the sewage and the virus. 119 00:12:07,930 --> 00:12:11,680 So but I used to run every day, so I was, you know, stayed pretty fit. 120 00:12:11,680 --> 00:12:15,610 And that helped me kind of get through the day and the night. 121 00:12:15,610 --> 00:12:24,940 So so it was yeah, it was good. That went on absolutely flat out to the summer. 122 00:12:28,610 --> 00:12:36,110 And then, as you remember, the pandemic largely went away and people started to go on vacations and all that sort of stuff. 123 00:12:36,500 --> 00:12:42,020 The family took a short break and my in-laws are living in Swanage. 124 00:12:42,020 --> 00:12:45,380 They're very old and pretty frail, so I thought, Bloody [INAUDIBLE], they're getting down there. 125 00:12:45,680 --> 00:12:51,770 So we went down there for a week, but that was the only break we had that summer and and the rest. 126 00:12:51,770 --> 00:12:53,630 And we were kind of pretty flat out. 127 00:12:54,080 --> 00:13:04,970 And then that carried on through the autumn because by then I was very engaged in the lateral flow testing programme, which was like really literally, 128 00:13:05,690 --> 00:13:13,070 you know, three or four times a week, lots of discussions of Porton Down, lots of evaluation data that was coming in from that programme. 129 00:13:13,640 --> 00:13:15,049 And again, that kept was very busy. 130 00:13:15,050 --> 00:13:23,600 And of course the vaccine thing got pretty interesting starting in about September because we were counting cases as to how many events we needed. 131 00:13:23,600 --> 00:13:30,860 And and then the results from Pfizer came in, I guess, end of October, beginning of November. 132 00:13:30,860 --> 00:13:35,450 So that was the first hit. And we thought, bloody [INAUDIBLE], this is a tractable disease with the vaccines. 133 00:13:35,450 --> 00:13:41,450 So we were pretty optimistic we were going to get there and our data came in and in November then there was a 134 00:13:41,450 --> 00:13:45,979 rush around Christmas to get regulatory approval and there was quite a lot of discussion with AstraZeneca. 135 00:13:45,980 --> 00:13:52,730 So I'd probably talked to AstraZeneca a couple of times a week about where we were and what we were trying to do. 136 00:13:53,300 --> 00:14:01,160 They were they were busy fighting off all kinds of trouble in the in the US because the US decided they didn't like us. 137 00:14:01,160 --> 00:14:09,379 So that was not helpful. And I was also yeah, we were also thinking, trying to think more strategically is if it worked, 138 00:14:09,380 --> 00:14:13,340 how would you, how would you get the vaccine out to people as quickly as possibly could? 139 00:14:13,340 --> 00:14:19,430 So that I was also talking to Oxford, Biomedica, where I know that chairman pretty well and the chief executive, 140 00:14:19,430 --> 00:14:24,880 because they were our major manufacturing site and they they had all kinds of trouble making this stuff in the autumn. 141 00:14:24,890 --> 00:14:28,850 And so I was trying to help them get to where they needed to get to to anyway. 142 00:14:28,850 --> 00:14:36,049 So it was busy, busy, busy. And did you I mean, you do just make that mention about the possible contamination of water. 143 00:14:36,050 --> 00:14:40,310 Water. And how personally threatened did you feel by the virus itself? 144 00:14:41,060 --> 00:14:49,910 So I like everybody else, you know, I didn't I really didn't want to die in an intensive care unit face down. 145 00:14:51,350 --> 00:14:55,489 And, you know, there were enough people dying face down in those days because there was you know, 146 00:14:55,490 --> 00:15:00,080 there's quite a surge of of this terrible pneumonia people got. 147 00:15:00,290 --> 00:15:04,009 And so I was over 60 and I was definitely over 60. 148 00:15:04,010 --> 00:15:11,059 So, you know, that said that, you know, I was, you know, and now one of my BMI is quite low, might be almost 21. 149 00:15:11,060 --> 00:15:18,560 And there's this remarkable correlation with BMI. So I thought it's probably I'm pretty fit, but, you know, my wife was really anxious. 150 00:15:18,560 --> 00:15:22,969 So, you know, we were getting deliveries of groceries to the door and then everything was getting wiped 151 00:15:22,970 --> 00:15:28,070 down before it came in the door because and this just reemphasize the point I made, 152 00:15:28,070 --> 00:15:35,720 and that is we started with a massive set of mis assumptions about how this was because everyone said, Oh my God, wash your hands. 153 00:15:36,140 --> 00:15:40,340 There's not a scrap of evidence that this stuff is transmitted by touch. 154 00:15:40,640 --> 00:15:49,970 And yet we went through months and months of everybody washing their hands four times a day, huge amounts of alcohol gel stuff being wiped down. 155 00:15:51,200 --> 00:16:00,200 Anyway, they it just goes to show you that, you know, you don't really I mean, I'm not saying was it inappropriate precautions? 156 00:16:00,200 --> 00:16:01,190 They probably were appropriate, 157 00:16:01,250 --> 00:16:08,660 but we could have worked faster to get the answer to that question that was saved everybody alive and well anyway that the yeah. 158 00:16:08,810 --> 00:16:18,709 So so my wife was pretty aggressive about controlling what came in and out of the house and it, it meant that I couldn't really meet with anybody. 159 00:16:18,710 --> 00:16:27,100 So I didn't meet with anybody face to face from about the second week of March until the. 160 00:16:27,570 --> 00:16:31,660 The lockdown ended in May or June. So, you know, it was bad. 161 00:16:31,670 --> 00:16:37,690 So I didn't go up to Whitehall and I've had people ask me to come up with, you know, why I'm doing that? 162 00:16:37,880 --> 00:16:42,850 But of course Whitehall was awash with the virus and they were all getting it and I got bloody Alan not going in there. 163 00:16:43,300 --> 00:16:49,160 So, so that was, so that was fine because you could do everything on the one hand on the zoom calls which are fun. 164 00:16:49,210 --> 00:16:56,680 So, so anyway, that so busy, busy, busy, but not, you know, tiring to a point, 165 00:16:57,100 --> 00:17:06,310 but at some level pretty interesting work and challenging work because every point I've made before, I've never said this to you before it. 166 00:17:06,790 --> 00:17:11,889 Almost every week something popped up and you learn something about this virus that we didn't know before. 167 00:17:11,890 --> 00:17:18,850 It's a brand new virus, didn't know anything about it. So it was tough. Did you know or did you know a lot of out didn't know that. 168 00:17:19,030 --> 00:17:22,629 Did you know half the people are asymptomatic? Well, no, we didn't know that. 169 00:17:22,630 --> 00:17:26,710 And, you know, the only study we got started in April. 170 00:17:28,660 --> 00:17:35,250 Yes, mid-April and very well. And that started to generate epidemiological data to say, did you know these people are a particular risk? 171 00:17:35,260 --> 00:17:39,040 These people are not at risk. You know, we're not seeing any of this. We're seeing a lot of that. 172 00:17:39,040 --> 00:17:45,759 And so, you know, that data was coming in all the time. And I was trying to assimilate all that data to try and keep the big picture 173 00:17:45,760 --> 00:17:48,909 of what actually was happening and then how you needed to respond to that. 174 00:17:48,910 --> 00:17:59,050 But it was that that was that was very intriguing because it was just an ongoing flow of new information. 175 00:18:00,010 --> 00:18:04,479 Well, that brings us, I think, quite nicely to this, going back to this statement he made to the select committee. 176 00:18:04,480 --> 00:18:08,740 And I'm afraid I haven't got the date for that. But it was quite early on, I think that. 177 00:18:13,160 --> 00:18:16,580 This whole epidemic has relied too heavily on assumptions that have turned out not to be true. 178 00:18:16,610 --> 00:18:19,700 My strong advice is to prepare for the worst. That must have been quite early on. 179 00:18:21,650 --> 00:18:25,640 But what were these assumptions? Well, the first assumption was it wasn't going to be a pandemic. 180 00:18:25,760 --> 00:18:30,860 Right. It was a dumb assumption. And that but that was clearly in people's minds. 181 00:18:31,370 --> 00:18:35,600 The second assumption is, don't worry, the NHS is great and it'll all be fine. 182 00:18:35,630 --> 00:18:38,660 That was a dumb assumption. Turned out to be completely not true. 183 00:18:39,500 --> 00:18:49,100 The third assumption and sequentially was that you can start trying to make a vaccine, but it's going to take at least three years to get there. 184 00:18:49,100 --> 00:18:52,580 So get yourself ready for a long haul. Turned out not to be true. 185 00:18:53,540 --> 00:18:56,810 Fourth assumption. How's the facts? How was the virus transmitted? 186 00:18:57,200 --> 00:19:00,960 That we still don't know. It is unbelievable. We don't know that, but we still don't know. 187 00:19:01,250 --> 00:19:05,000 I mean, it's obviously aerosol, but is it really aerosol? Is it particulates? 188 00:19:05,270 --> 00:19:07,670 Do the how much how well do the masks work? 189 00:19:08,910 --> 00:19:14,300 You know, probably work a bit, but they're not they don't work anywhere near as well as everybody thought that might have worked. 190 00:19:16,130 --> 00:19:23,300 And then this massive assumption that if you had the virus, 191 00:19:24,110 --> 00:19:28,880 you could just go back to work because you were then you knew you weren't going to get the virus again. 192 00:19:29,780 --> 00:19:36,710 And that underpins the search for a serological test to see who had had the virus, who hadn't had the virus. 193 00:19:37,280 --> 00:19:43,880 And the assumption was after that first wave or midway through the first wave, that, you know, half the population would have been exposed. 194 00:19:44,450 --> 00:19:48,670 Turned out only 5% of the population had been exposed. So that was a bit of a disaster. 195 00:19:48,680 --> 00:19:52,070 So that just showed that this was going to be a long grind. 196 00:19:52,580 --> 00:19:56,510 You know, after that first big wave. I don't think anybody expected 5%. 197 00:19:56,990 --> 00:20:02,480 Although interestingly, the Chinese after the Wuhan wave, they were only 5% as well. 198 00:20:02,490 --> 00:20:09,139 So it was it was incredibly severe lockdown. They had a massive lockdown, but they also had lots and lots of sick people. 199 00:20:09,140 --> 00:20:13,730 Germany, they were building those hospitals in a week. And I thought, boy, oh, boy, they got a problem. 200 00:20:14,300 --> 00:20:18,530 And so when the first data came out, actually, it was on the Georgia papers. 201 00:20:18,530 --> 00:20:22,069 And it's, you know, it was five, 6% that that was all it was. 202 00:20:22,070 --> 00:20:26,479 So so that all that was all that was a problem. 203 00:20:26,480 --> 00:20:29,900 And then then we sort of paused. 204 00:20:30,590 --> 00:20:40,580 So it took a while for everybody to understand that this was an immunological problem, not a viral, logical problem. 205 00:20:40,820 --> 00:20:45,740 It could be any of us. But the real question, what's the immune response? Because that's the thing that that's what vaccines do. 206 00:20:45,740 --> 00:20:46,670 That's what protects us. 207 00:20:48,200 --> 00:20:57,560 And so we started with the view that the antibodies, if you had antibodies to the virus, they would protect you against being reinfected. 208 00:20:58,220 --> 00:21:02,600 And it turned out that that was not true. So we've all got antibodies and we're still all getting infected. 209 00:21:02,600 --> 00:21:07,940 So that, you know, that is that turned out a completely inappropriate conclusion. 210 00:21:09,110 --> 00:21:12,229 And although antibodies are a reflection about whether you've been exposed to the virus, 211 00:21:12,230 --> 00:21:18,290 I'm not sure it wasn't true that they protected you, protect you from severe disease today. 212 00:21:19,100 --> 00:21:24,709 Probably not the antibodies. It's probably the T cells that protect you get severe disease because there isn't a very 213 00:21:24,710 --> 00:21:29,690 good correlation between the presence of antibodies and the presence of severe disease. 214 00:21:29,690 --> 00:21:38,030 So for example, there are lots of people who have very low levels of antibodies but who still don't get severe disease. 215 00:21:38,330 --> 00:21:45,440 And that so that's probably and severe disease is different than transmitting and getting a head cold. 216 00:21:45,440 --> 00:21:51,799 So so we hadn't nobody had thought about that and thought about well, actually, 217 00:21:51,800 --> 00:21:57,290 it may well be that you could protect yourself against the worst effects, but still have trouble in the background of the thing. 218 00:21:57,290 --> 00:22:04,700 Flipping along and remember, we were globally a completely naive population, so immunologically none of us had seen this virus before. 219 00:22:05,270 --> 00:22:11,340 Which is quite an interesting problem because with flu we've all kind of seen flu of one sort or another in a flu epidemic here. 220 00:22:11,360 --> 00:22:16,970 But some are worse and some are better. So so that that was all completely brand new. 221 00:22:17,150 --> 00:22:26,690 And so the understanding of what you are going to need to see the end of the pandemic was also very muddled. 222 00:22:26,690 --> 00:22:34,999 And I remember there were lots of authorities who would get on and say, well, we've got to vaccinate everybody and then we'll eliminate the virus. 223 00:22:35,000 --> 00:22:38,000 And then, you know, we've got to have zero COVID. 224 00:22:38,000 --> 00:22:42,799 That's the only end to this. And I remember I got on the radio, so you've got to be bloody joking. 225 00:22:42,800 --> 00:22:48,500 I said, That is never, never, never going to happen. So get that out of your minds because it's going to be here forever. 226 00:22:48,500 --> 00:22:55,790 So get used to it. And lots of people didn't like that, but in the course, it turns out to be to make sure that you know it is what it is, 227 00:22:55,790 --> 00:23:00,320 it's now with us and it'll be with us forever and it'll be really impossible to get rid of it. 228 00:23:01,490 --> 00:23:12,490 The the other thing is that was an inappropriate mis assumption, which I, in fairness, I got wrong in the beginning because people started to. 229 00:23:12,580 --> 00:23:19,330 Sequence a bit and they didn't start the sequence looking for variants. They started to sequence to use it for clinical epidemiology in hospital. 230 00:23:19,330 --> 00:23:25,340 In other words, that guy had that particular virus and the guy on level seven got the same virus. 231 00:23:25,340 --> 00:23:27,310 So they must have it must have gone from here to here. 232 00:23:27,790 --> 00:23:33,159 But honestly, it really helped very much because usually when there was a ward of people with COVID, 233 00:23:33,160 --> 00:23:38,330 they all had the same virus because they given it to each other. So that was, you know, that all looked at the dumped me so. 234 00:23:38,700 --> 00:23:42,609 So I remember he called me and they said, what do you think about this? I said, I think it's a load of noise. 235 00:23:42,610 --> 00:23:45,910 I said, I said I wouldn't pay much attention to it because it's not going to help very much. 236 00:23:46,600 --> 00:23:51,520 It then emerged that the variant started to appear and then it was pretty clear that you were going to need surveillance, 237 00:23:51,520 --> 00:23:56,860 genetic surveillance as well. But again, we didn't start out with genetic surveillance at all. 238 00:23:56,860 --> 00:24:02,980 We we we, in fact, quite the opposite. And although we were one of the first in the world to do genetic surveillance, 239 00:24:03,220 --> 00:24:07,750 the whole world was asleep at the switch because they should have started with that on day one, frankly. 240 00:24:08,290 --> 00:24:15,190 So there were lots of I mean, I think it was a mass, but I do remind people that we've never done this before. 241 00:24:15,220 --> 00:24:25,360 This was a new virus. We've never done it before. And we didn't have very many people who were expert at managing infectious disease outbreaks. 242 00:24:26,800 --> 00:24:33,490 Ebola was the last one we had. A few people were involved in that that had similar characteristics. 243 00:24:34,420 --> 00:24:38,770 And then there had been flu, which had never really got airborne. 244 00:24:40,330 --> 00:24:45,850 They got off the runway and actually turned out to be much less severe than we thought it was going to be. 245 00:24:46,060 --> 00:24:50,560 So there hadn't been anything in living memory where people got really good at this. 246 00:24:50,560 --> 00:25:01,450 And I think that lack of experience and lack of capacity and capability is was a really big issue for us. 247 00:25:02,170 --> 00:25:11,050 And it was made even worse by the fact that we had to make a lot of assumptions and a lot of those assumptions were turned out to be wrong. 248 00:25:12,550 --> 00:25:15,910 The modelling turned out to be particularly wrong, I have to say. 249 00:25:15,910 --> 00:25:22,030 And that was that was a massive source of misinformation they carried on throughout the pandemic. 250 00:25:22,660 --> 00:25:28,930 Well, there were different models when there. And that was another question that that I had that, you know, even within the scientific community, 251 00:25:28,930 --> 00:25:33,459 there have been differences of opinion based on these massive, massive differences. 252 00:25:33,460 --> 00:25:37,840 How how difficult was that to deal with? Well, it was very difficult to deal with. 253 00:25:37,840 --> 00:25:44,049 And I think the particular problem was that politicians who were terrified of making yet another 254 00:25:44,050 --> 00:25:52,840 mistake tended to take the most conservative view about the models and and and the academics 255 00:25:53,740 --> 00:26:02,350 and sage in particular promoted the the engineer type modelling and unfortunately those and quite 256 00:26:02,350 --> 00:26:06,969 a lot about that around for a very long time in the infectious disease modelling community. 257 00:26:06,970 --> 00:26:17,860 So they have always, always overstated the severity of these epidemics, the extent of the the spread, this verity of the outcome. 258 00:26:18,640 --> 00:26:25,090 And they did it in spades here because you could you might well have argued that as 259 00:26:25,090 --> 00:26:31,600 the population got vaccinated in 2021 and through that first six months of 2021, 260 00:26:32,050 --> 00:26:39,190 to the point at the summer of 2021, almost not everybody, but most people wanted the vaccine that had two doses of vaccine. 261 00:26:39,910 --> 00:26:44,860 It was all fine. They could have just stopped them because I don't you know, the lockdowns didn't make any difference to that. 262 00:26:45,460 --> 00:26:52,540 The death rate stayed absolutely the same with or without boosters, with or without variants, with or without it, right along the bottom. 263 00:26:52,990 --> 00:26:58,330 And yet we kept going on for another nine months saying, Oh, my God, we need a lockdown. 264 00:26:58,330 --> 00:27:05,319 And the government was running out. That was that's been very damaging to the scientific community's credibility, 265 00:27:05,320 --> 00:27:10,360 frankly, because politicians are now saying, why did we listen to those guys? 266 00:27:10,660 --> 00:27:19,120 They clearly got it completely wrong and we just lied there and let them tell us what to do when in fact, if we'd had people in the room saying, 267 00:27:19,720 --> 00:27:26,860 you know, the economy is on its knees, sort yourselves out, get back to work, we would have actually got to a much better place faster. 268 00:27:27,100 --> 00:27:34,329 I mean, the sort of say the word scientists, including scientists here in Oxford who were saying lockdowns were a bad thing and that what we needed 269 00:27:34,330 --> 00:27:42,940 to do was focus the protection on the extremely vulnerable and that everybody else would be fine. 270 00:27:42,940 --> 00:27:45,000 Yeah. And they were vilified largely. Yeah. 271 00:27:45,300 --> 00:27:56,500 That, that, that was a bad period actually because I think that was, I think at the beginning that was probably if I look retrospectively, 272 00:27:56,500 --> 00:28:03,670 that was probably not the right advice because the consequences of severe disease were pretty profound. 273 00:28:03,670 --> 00:28:10,210 And the worry was that if the health system collapses, which is what happened in Italy, then we're all toast. 274 00:28:10,630 --> 00:28:19,760 So the. I think the lockdown was probably and I say probably this gets back to our assumptions. 275 00:28:20,000 --> 00:28:24,890 I'm still not sure we've got the data to show that it actually made a difference, frankly, 276 00:28:25,520 --> 00:28:31,830 but I think it was the right thing to do given the the threat that once the March lockdown. 277 00:28:31,850 --> 00:28:42,740 That's right. But but as soon as as soon as the the disease became different because of widespread vaccination or previous exposure, 278 00:28:43,730 --> 00:28:47,260 then you could have easily said, no, no, no, no, no, no, no. 279 00:28:47,270 --> 00:28:53,270 We you know, by all means, if you've got frail, elderly people who you think are at risk and protect them, 280 00:28:53,600 --> 00:28:57,320 but the rest of the country could definitely get back to work and get stuff done. 281 00:28:58,100 --> 00:29:03,590 And that didn't happen with any pace at all. It was very slow because we've been in this lockdown mentality now. 282 00:29:03,890 --> 00:29:11,720 A couple of things about lockdown. So we were the manual for pandemic management. 283 00:29:12,740 --> 00:29:22,069 Two metres distancing mask is all 19th century and there's been a spectacular failure 284 00:29:22,070 --> 00:29:27,740 to gain evid evidence and an evidence base as to what works and what doesn't work. 285 00:29:28,610 --> 00:29:37,849 And the the example I like the best is in Africa where they had they couldn't do any lockdowns because of the lockdown in Africa, 286 00:29:37,850 --> 00:29:41,240 people starved to death because they've got to go out and do stuff. Otherwise can't get any food. 287 00:29:41,660 --> 00:29:45,139 So didn't they? And South Africa in prove lockdown. They said, forget this, we're not doing this. 288 00:29:45,140 --> 00:29:46,070 Everybody's going to die. 289 00:29:46,550 --> 00:29:54,470 So they let everybody else and none of the other African countries had any significant lockdowns, big urban areas, lots of transmission, quite stuff. 290 00:29:55,550 --> 00:30:02,209 And before they could ever get a vaccine, they most of those countries had auto vaccinated themselves with natural infection. 291 00:30:02,210 --> 00:30:08,000 They had serological rates of infection, were sitting at 70 to 80% before anybody had had a vaccine. 292 00:30:08,000 --> 00:30:14,180 So they'd actually done the vaccine thing themselves without any help from the from the injectables. 293 00:30:15,680 --> 00:30:19,700 But they had these very interesting ways of disease which go along like our way. 294 00:30:19,940 --> 00:30:25,010 Suddenly you say, Oh my God, we got another wave, and the numbers are going through the roof. 295 00:30:25,880 --> 00:30:33,260 And then they get up to a peak and then no intervention, no lockdown, no masks, no nothing, no washing of hands. 296 00:30:34,310 --> 00:30:36,860 It would disappear. It's exactly what happened here. 297 00:30:37,880 --> 00:30:46,330 So how do you infer that the lockdown was responsible for that when people didn't have the lockdowns, also had the waves got? 298 00:30:46,490 --> 00:30:49,229 So it's a natural feature of these infections. 299 00:30:49,230 --> 00:30:56,210 If you get to a certain level of transmission and then enough people are either actively infected or have been infected, that it actually disappears. 300 00:30:56,750 --> 00:31:02,360 And how would the death rates in those African countries? So nobody nobody really knows. 301 00:31:02,360 --> 00:31:09,410 In some place the death rate was pretty high in South Africa. There were a lot of people who died in places like Nigeria. 302 00:31:10,190 --> 00:31:15,640 It's been said that there hadn't been a lot of deaths. I don't know that the ascertainment is very good there, so I don't. 303 00:31:15,740 --> 00:31:17,720 But they do have an average younger population. 304 00:31:17,840 --> 00:31:24,469 They're younger and fitter, but there's no shortage of people with, you know, who are these who are in a high risk group. 305 00:31:24,470 --> 00:31:27,710 So, you know, it's not as if they don't have any of those people, quite a lot of those people. 306 00:31:28,220 --> 00:31:36,740 But that that I think the sense from Africa is that they didn't get clobbered the way that we did in Western countries. 307 00:31:37,190 --> 00:31:43,400 But it's fair until you actually had really good numbers, I think it'd be really hard to tell about that, to be honest. 308 00:31:44,060 --> 00:31:49,340 But that's and then in America, there's been quite a lot of work looking state to state. 309 00:31:49,340 --> 00:31:52,580 The states had different approaches to how tough to be, 310 00:31:53,030 --> 00:32:00,649 and there doesn't seem to be a very good correlation between the death rates, where the death rate count in America is pretty good. 311 00:32:00,650 --> 00:32:02,210 So the ascertainment, the number is pretty good, 312 00:32:02,780 --> 00:32:14,030 and the extent and breadth of the non-pharmaceutical interventions don't correlate with the death rate at all. 313 00:32:14,960 --> 00:32:24,890 So I still think there's some pretty big questions about whether the 19th century manual about lockdowns is the right answer, 314 00:32:24,980 --> 00:32:35,840 frankly, and that now when things were bad and I was asked, well, do you think we need to? 315 00:32:35,840 --> 00:32:39,440 I would often say, yeah, I think we probably will need another lockdown. 316 00:32:40,760 --> 00:32:42,770 As things got better in the spring. 317 00:32:42,770 --> 00:32:49,940 I started to back away from that position because I wasn't persuaded that spring of 2021, I wasn't persuaded that was necessary. 318 00:32:49,940 --> 00:32:57,379 And then by the time we got to November, December, I was pretty vocal about saying, What the [INAUDIBLE] is going on here, guys? 319 00:32:57,380 --> 00:33:00,380 Because this is a mild now a mild disease. 320 00:33:00,380 --> 00:33:03,560 People are not die. You know, what's going on? 321 00:33:03,680 --> 00:33:11,090 And I mean, there were a couple of us who put that into play before Christmas. 322 00:33:12,510 --> 00:33:18,540 In 2021 where the government had been pushed by the scientific community to do another lockdown. 323 00:33:19,080 --> 00:33:21,980 But there were a few of us who said, No, no, no, no, no, no, no, don't do it. 324 00:33:21,990 --> 00:33:25,470 And then when they looked at the numbers, they thought, actually, we're not doing the lockdown. 325 00:33:25,530 --> 00:33:29,579 Everybody go home and have mince pies and turkey and enjoy ourselves. 326 00:33:29,580 --> 00:33:37,980 It's all fine. So that was sort of when they broke the back of the orthodoxy of the monitors. 327 00:33:38,940 --> 00:33:47,400 And to be clear. Chris Murray, who's one of the great world's great model, is based in the University of Washington in Seattle. 328 00:33:47,410 --> 00:33:51,180 I spoke to him for I spoke to him quite a lot. He was doing numbers. He had great numbers. 329 00:33:51,600 --> 00:33:52,350 This is funny. 330 00:33:52,350 --> 00:34:00,720 JB He said you're modellers in the UK seem to come up with completely different answers to what everybody else does over here of [INAUDIBLE]. 331 00:34:01,020 --> 00:34:12,030 That's not such a good bit of information. So massive variation and they overstated the extremes, the, you know, the worst extremes. 332 00:34:12,030 --> 00:34:17,490 And yeah, it was it was bad and it was bad. 333 00:34:17,730 --> 00:34:21,629 And I mean, how do you evaluate the impact of there just being a lot of sickness? 334 00:34:21,630 --> 00:34:27,870 I mean, just, you know, not severe illness, but people feeling ill enough not to feel able to go to work. 335 00:34:29,370 --> 00:34:34,079 Well, I look at that. There was always going to be quite a lot of impact of that. 336 00:34:34,080 --> 00:34:37,290 In fact, there still is. The people are going up again. Yeah, 337 00:34:37,410 --> 00:34:42,930 that's the so the early summer there were quite a lot of people down and it meant that the airports didn't 338 00:34:42,930 --> 00:34:50,100 work because lots of people like COVID and but a lot of that was probably again if you've tested positive, 339 00:34:50,100 --> 00:34:56,909 don't come to work. So there's there's that. And you could say, well, look, I feel fine and a little cough and out of nowhere. 340 00:34:56,910 --> 00:35:05,880 So you you actually, you know, there's a again, this question, what is the tipping point between who you keep out of the workforce if you don't? 341 00:35:06,450 --> 00:35:11,310 I we're going to go up again. We'll have our we'll have an autumn. So for sure, I think. 342 00:35:12,570 --> 00:35:15,780 But it's not clear to me that boosters are going to make any difference. 343 00:35:16,830 --> 00:35:20,070 So that yeah, that was the question I had really from a personal point of view. 344 00:35:20,370 --> 00:35:26,150 I mean, if you had the first two vaccinations, are you covered for life against severe disease? 345 00:35:26,160 --> 00:35:30,389 So far it looks like that it doesn't like. Yeah, well, how can I say that? 346 00:35:30,390 --> 00:35:34,440 Because four years out to date, that's enough. 347 00:35:34,590 --> 00:35:38,010 Yes. Because none of those people are dying from severe disease. 348 00:35:38,520 --> 00:35:41,729 So why would a booster keep it going longer? 349 00:35:41,730 --> 00:35:52,620 One might, but it also might not. And we you know, unfortunately, in the rollout of the vaccines, we didn't do it in a very careful way. 350 00:35:52,620 --> 00:35:56,620 We were in such a hurry to get vaccines into people. Just everybody line up with them all. 351 00:35:56,620 --> 00:35:59,999 And actually, in America, they didn't even record who had a vaccine. 352 00:36:00,000 --> 00:36:01,920 I just wrote it on a card and said, off you go. 353 00:36:02,220 --> 00:36:11,070 So, I mean, it wasn't like that because there was a push here for our columnists to say, actually, guys, 354 00:36:11,070 --> 00:36:17,670 why don't we randomise give people different vaccines, different age groups do large populations. 355 00:36:18,000 --> 00:36:22,980 Then as we go forward, we can then use those populations to work out what's happening and how it's happening. 356 00:36:23,370 --> 00:36:26,940 But we didn't just blast away so much what it was. 357 00:36:27,390 --> 00:36:37,350 I Yeah. Anyway the so where we're still got massive gaps in our understanding of the biology of this disease, 358 00:36:37,380 --> 00:36:40,800 the immune response to this is what protects you against transmissions. 359 00:36:41,040 --> 00:36:49,079 Do the boosters actually work or not? What do you make of this waning of antibody response after? 360 00:36:49,080 --> 00:36:53,390 Because of course, the more boosters you get, the faster the antibody response wanes. 361 00:36:53,430 --> 00:36:56,070 And now the antibodies last three months. Wow. 362 00:36:57,150 --> 00:37:05,070 So why haven't the booster that they seem to do a lot of good said but again there's a sort of orthodoxy so all governments feel like they 363 00:37:05,070 --> 00:37:11,580 have to be jabbing people right in the last bed and they've got in this model in the States where they they've approved the vaccine, 364 00:37:11,580 --> 00:37:17,520 which has never been in a human being before. So I mean, that's just completely dumb because you don't need to do that. 365 00:37:17,520 --> 00:37:25,860 I mean, human studies take a month to do so. So there's a lot of bad decisions ongoing in this community. 366 00:37:25,920 --> 00:37:29,620 So but I decided to step out of that discussion, actually. 367 00:37:29,700 --> 00:37:33,000 So you don't hear me on the radio anymore. I just had it. I got it. 368 00:37:33,130 --> 00:37:40,350 It's just going to get worse. So you've, you've stepped back from all advisory roles in relation to COVID. 369 00:37:40,350 --> 00:37:43,710 Yeah. Yeah, pretty much. Oh that's interesting. Yeah, yeah, yeah. 370 00:37:44,070 --> 00:37:48,809 Well, I mean, I, I kind of I did the job I was supposed to do. 371 00:37:48,810 --> 00:37:53,100 Yes. We got rid of that severe disease. We got the vaccine, we got the testing in place. 372 00:37:53,100 --> 00:38:01,410 We did all the things we said we're going to do. And now it's just a load of heavily opinionated people shouting at each other as to what to do next. 373 00:38:01,470 --> 00:38:02,700 I mean, it's just not. 374 00:38:03,120 --> 00:38:12,150 Oh, well, I was going to ask you whether the experience of the pandemic had raised the profile of the need for pandemic preparedness and whether we. 375 00:38:12,420 --> 00:38:18,830 Now I have the capacity in place to deal with a future pandemic that might five years or ten years or 29 is a really good question. 376 00:38:18,840 --> 00:38:25,950 So so the in the height of the pandemic, everybody said this is costing us trillions of pounds. 377 00:38:27,090 --> 00:38:40,050 We need we need to be ready the next time. And that when there was quite a lot of sickness around, people kept saying, we need to do it. 378 00:38:40,380 --> 00:38:47,040 Of course we won't forget it. Events have meant that it's been pretty much pushed to the back of the bus. 379 00:38:47,370 --> 00:38:51,150 So or in Ukraine, cost of living, crisis, energy bubble. 380 00:38:51,180 --> 00:38:57,420 But they're all. Yeah, no, but you never hear a politician talk about COVID ever, because it just comes right off the list. 381 00:38:58,020 --> 00:39:04,380 There's not. The new health protection agency has been established. 382 00:39:04,500 --> 00:39:10,079 They're supposed to be responsible for pandemic response, but their budgets are being cut right back to what it was before the pandemic. 383 00:39:10,080 --> 00:39:15,630 So they don't really have the money to do it. There's a few things still in place, but not many. 384 00:39:15,660 --> 00:39:21,600 We're doing a bit of the honest study cut back is still offering, so we get some sense about what's going on. 385 00:39:21,840 --> 00:39:29,510 What about W.H.O. and the global level? So Biden declared the pandemic over in America, which is probably true. 386 00:39:29,520 --> 00:39:33,329 It probably is over. I mean, they're still getting about 400 deaths a day, I think. 387 00:39:33,330 --> 00:39:40,440 But it's you know, it's largely over here. We're getting about I think it's for real COVID deaths. 388 00:39:40,440 --> 00:39:43,500 It's about somewhere between two and 400 deaths a week. 389 00:39:44,280 --> 00:39:47,940 But none of them are that pneumonia. None. Zero. Not a single one. 390 00:39:48,570 --> 00:39:52,350 And a lot of them are. Almost everybody does. 391 00:39:52,350 --> 00:40:00,180 It's over the age of 85 and they've got lots of co-morbidities, this stuff, and it'll be clotting or, you know, it's like people get a bad flu. 392 00:40:00,690 --> 00:40:08,190 You know, if you're over 85, you get a bird flu, you die often. So, I mean, it's the same do so so that you know, that that is what it is. 393 00:40:08,190 --> 00:40:11,670 And I suspect it'll come along like that and it'll go up maybe a bit. 394 00:40:12,120 --> 00:40:17,670 We get a surge and we'll get new variants and all that stuff, but it doesn't work. 395 00:40:17,730 --> 00:40:22,860 It looks like the vaccines are very good against all the variants, all the variants we've seen, we've seen some pretty weird variants. 396 00:40:22,860 --> 00:40:28,680 So I'm pretty confident we'll be okay. So I thought. 397 00:40:28,690 --> 00:40:33,010 But are we better prepared for a highly pathogenic flu? 398 00:40:34,600 --> 00:40:39,820 Completely unprepared. Are we prepared for a Nipah virus pandemic? 399 00:40:40,150 --> 00:40:44,379 Completely unprepared. You know, there's just, you know, we just novel. 400 00:40:44,380 --> 00:40:49,540 Things come back to the beginning. Travelling twang, the elastic band. 401 00:40:50,110 --> 00:40:55,270 So I'm just a bit surprised about how fast that happened. Just slightly this morning. 402 00:40:55,630 --> 00:40:59,430 Yes, indeed. So so I'm working on two things. 403 00:40:59,800 --> 00:41:08,020 One is a much more systematic approach for characterising infections, 404 00:41:08,830 --> 00:41:15,430 identifying pathogens early that are causing severe disease, and then putting up the red flag to say, guys, there's trouble here. 405 00:41:15,490 --> 00:41:19,360 So including doing genetic analysis and it's a shift. 406 00:41:19,750 --> 00:41:27,159 It didn't start this way, but it's ended up this way. And that is with the falling price of genetic sequencing, which is fine, really precipitously. 407 00:41:27,160 --> 00:41:34,420 Again, after five years, it looks like it's going to be cheaper just to sequence every pathogen that's causing 408 00:41:34,420 --> 00:41:38,470 trouble than to try and grow it up in a tube and see what it is and all that stuff. 409 00:41:38,980 --> 00:41:46,570 So the, the, the idea that you can have a systematic global system for characterising pathogens and 410 00:41:46,570 --> 00:41:51,400 then storing their DNA sequence in a database that allows you to see what's happening, 411 00:41:51,420 --> 00:41:59,470 where would be a much better way to identify new pathogenic outbreaks which what global umbrella body will come under? 412 00:42:00,010 --> 00:42:12,430 So we've been working with the G20 as the major US for that, and India is about to take over the G-20 and they are very keen on developing it. 413 00:42:12,940 --> 00:42:17,530 It'll probably they'll probably be nationally based because remember, this is health care data. 414 00:42:17,530 --> 00:42:21,069 So you can't really. It's got to be owned by each country. 415 00:42:21,070 --> 00:42:25,020 So the idea is to proliferated. African CDC is involved. 416 00:42:25,030 --> 00:42:28,150 The Tony Blair Foundation has been very involved. 417 00:42:28,630 --> 00:42:35,950 Gates Foundation very involved. So there are a lot of people who are keen on seeing this, exploit it and develop on an international level. 418 00:42:35,960 --> 00:42:39,210 So that's and that's all. So that's a surveillance program. 419 00:42:39,220 --> 00:42:46,660 It's a it's a it's a no, actually, it's it started as a surveillance program for COVID to say, can we spot the new variants? 420 00:42:46,930 --> 00:42:52,059 It's migrated now to be a complete transformation of clinical microbiology because 421 00:42:52,060 --> 00:42:57,010 at the moment they all have a plate and a loop and a flying and all that stuff, 422 00:42:57,340 --> 00:43:00,310 and they haven't that hasn't changed since the middle of the 19th century. 423 00:43:00,320 --> 00:43:06,430 So that's all going to be swept aside with this molecular revolution where everybody off the sequencer and, 424 00:43:06,430 --> 00:43:10,150 you know, take a sample and put it in the sequencer and read the data. That's how you do it. 425 00:43:10,630 --> 00:43:18,610 So that's so that and that's one. And then the second thing I'm working on is this thing called one shot, which is I'd turn. 426 00:43:18,640 --> 00:43:20,770 What are we got? Yeah, that's fine. 427 00:43:21,280 --> 00:43:32,920 So one shot is this idea which we cooked up, which says we're going to have a massively expanded manufacturing capability for vaccines and biologics. 428 00:43:33,160 --> 00:43:37,450 It's going to go from 5 billion capacity, 5 billion to 22 billion here. 429 00:43:38,740 --> 00:43:44,080 This is global, again, global. And you're going to have to then think about what you can use it for. 430 00:43:44,130 --> 00:43:50,650 You can use it for. COVID are so big for it's going to have to use for something else because otherwise the manufacturing is all going to go cold. 431 00:43:51,850 --> 00:43:55,760 Workforce laid off. Nobody knows how to run the machines. And then you're right back to where you started. 432 00:43:55,780 --> 00:43:57,310 So you want to keep that stuff going like this. 433 00:43:58,390 --> 00:44:04,600 And we've also got in almost all countries in the world the deployment capability for adult vaccination, 434 00:44:04,600 --> 00:44:10,840 which would enable vaccines to come in the arm, digital tools come in and get your vaccine. 435 00:44:10,960 --> 00:44:14,830 Africans do a Southeast, Asians do it. You know, everybody does it. 436 00:44:15,340 --> 00:44:19,720 And so you've got a much better sense for the demographic who needs vaccines for this or that. 437 00:44:20,440 --> 00:44:24,430 And and so you've got the backend and you've got the front end. 438 00:44:25,000 --> 00:44:29,650 The real question is how do you fill the pipeline so that you keep all that stuff busy? 439 00:44:30,460 --> 00:44:36,580 So we've come up with this concept of one shot, we call it, and it's a bit odd that not one shot, it's about 20 shots. 440 00:44:36,820 --> 00:44:40,990 And that is that there's there's been this revolution in new vaccine. 441 00:44:40,990 --> 00:44:46,240 So Adrian's malaria vaccine, the new TV vaccine is going into phase three. 442 00:44:46,240 --> 00:44:49,299 The new dengue vaccine just approved RSV vaccines. 443 00:44:49,300 --> 00:44:52,750 Two of them just approved COVID flu. 444 00:44:53,380 --> 00:44:59,890 New flu, which could be even better than old flu. And then old ones like pneumococcus and HPV and all the rest of it. 445 00:45:00,310 --> 00:45:07,660 And then there's a whole class of other injectables, which are essentially vaccines against things like heart disease. 446 00:45:08,140 --> 00:45:12,770 So they control your blood pressure, control your lipids, and you get one shot and then you go away for years. 447 00:45:12,770 --> 00:45:19,360 So they'd like an annual vaccine. So we're promoting this idea that as a step for prevention and public health, 448 00:45:20,020 --> 00:45:26,080 you use that capability to just use the deployment capability and the manufacturing. 449 00:45:26,420 --> 00:45:29,959 Capacity to make billions of these doses. 450 00:45:29,960 --> 00:45:34,070 And then everybody gets a call once a year, you only get four shots depending on where you are. 451 00:45:34,070 --> 00:45:38,270 You can you know, if you're in Zaire, you get malaria. 452 00:45:38,270 --> 00:45:42,770 If you're in if you're in Connecticut, you get HPV, you know, all that stuff. 453 00:45:43,070 --> 00:45:49,930 So that that as a prevention strategy, that's a terrific step for the health care system almost anywhere. 454 00:45:49,940 --> 00:45:56,900 It's very good for Western countries, but also for the long term. So we're promoting that as a as a legacy from COVID. 455 00:45:57,920 --> 00:46:02,660 Tony Blair, is it a general U.N. General Assembly today talking about themselves? 456 00:46:02,810 --> 00:46:06,440 It's quite it's quite a good way. It's got quite, quite a good airing, actually. 457 00:46:06,440 --> 00:46:09,559 The Indians are very keen. The Indonesians were quite helpful. 458 00:46:09,560 --> 00:46:13,460 So they ran in the last G20. So it's getting a bit of traction. 459 00:46:14,270 --> 00:46:17,389 I'd say it's got it'll definitely get picked up in some places. 460 00:46:17,390 --> 00:46:21,230 It may not end up being global, but it will be it'll be a helpful step. 461 00:46:22,360 --> 00:46:28,729 Oh, well, it's good to hear that. So there's nothing to that. So there's this other stuff going on and it's all prevention oriented. 462 00:46:28,730 --> 00:46:39,900 So I think that's good. Mm hmm. I think given that you've got to go very soon, I think that's a nice point to end on. 463 00:46:39,910 --> 00:46:45,790 So yeah, yeah, yeah. Well, it gives you a bit of a sense about where the world may end up and it may end up in a 464 00:46:45,790 --> 00:46:50,290 slightly better place than well down in a better place than we were three years ago. 465 00:46:51,450 --> 00:46:54,220 The question is, how much better is that? Okay.