1 00:00:01,110 --> 00:00:04,380 It's not like giving your name and your position. 2 00:00:05,250 --> 00:00:11,010 My name? Name's Andrew Pollard. I'm the director of the Oxford Vaccine Group and I'm a paediatrician here in Oxford. 3 00:00:11,460 --> 00:00:17,100 Thanks very much. So that's what can you just tell me a little bit about yourself without giving me your entire life 4 00:00:17,100 --> 00:00:22,650 history from how you first decided medicine was going to be a career to how you got to where you are now? 5 00:00:23,460 --> 00:00:26,460 Well, I decided to to do medicine. 6 00:00:38,840 --> 00:00:47,300 Yes. So I guess I decided that I would go into medicine only when I was already had started my A-levels. 7 00:00:47,780 --> 00:00:57,769 And when I looked at the admission criteria, I discovered that you needed to have a physics A-level equivalent of a GCSE in order to do that. 8 00:00:57,770 --> 00:01:05,030 So I then had to a great rush at the age of 17 to do an extra physics exam whilst studying 9 00:01:05,030 --> 00:01:10,840 with my uncles and then applied to various medical schools and set off to do medicine. 10 00:01:10,850 --> 00:01:19,190 But what was it that made you decide that medicine is going to be it? I think I always entertained the possibility and I don't know what it was. 11 00:01:19,190 --> 00:01:23,239 The sudden it suddenly clicked as a 17 year old, but maybe I could do it. 12 00:01:23,240 --> 00:01:29,130 I think before that I thought I just wouldn't have been up to it, but that perhaps it was actually the teachers giving me the encouragement. 13 00:01:29,150 --> 00:01:36,950 You didn't have medics in the family. My parents are both dentists, but I didn't have a particular connection. 14 00:01:36,950 --> 00:01:42,380 20 minutes. And so how did you get from doing a medical degree to where you are now? 15 00:01:43,460 --> 00:01:50,600 Well, when I finished my medical degree, I mean, I enjoyed everything in medicine, so I didn't really know which area I wanted to specialise in. 16 00:01:50,600 --> 00:02:01,910 So where did you study? So I studied at St Bartholomew's Hospital Medical School in London, and I so I did a job in A&E after I qualified. 17 00:02:02,360 --> 00:02:05,750 And of course you see the whole spectrum of medicine there. 18 00:02:06,380 --> 00:02:12,590 And I had always been quite interested in paediatrics and this was partly why did I need to 19 00:02:12,590 --> 00:02:18,020 see whether I because in medical school you don't do a huge block of studying children. 20 00:02:18,620 --> 00:02:24,110 And I thought there was a lot to offer and I really enjoyed communicating with children and their parents. 21 00:02:24,500 --> 00:02:33,860 And so I then started training in paediatrics. And over the years I guess the large proportion of what you see in paediatrics are infectious diseases. 22 00:02:34,310 --> 00:02:39,140 And that's I think the greatest number of people who come through the front door, snotty children. 23 00:02:39,860 --> 00:02:45,769 And during the course of that early training, I was always doing some research, 24 00:02:45,770 --> 00:02:54,560 interested in academic development and decided I wanted to do a PhD and looked at possibilities of doing 25 00:02:55,160 --> 00:03:02,030 PhD in the tropics and discussed with the head of the Medical Research Council unit in the Gambia. 26 00:03:02,450 --> 00:03:08,390 And we decided that I would go to the Gambia and and do my PhD there as a junior doctor, 27 00:03:09,320 --> 00:03:16,070 but the funding fell through and so I ended up going to St Mary's and studying meningitis for my PhD. 28 00:03:16,490 --> 00:03:27,020 That's in London. In London. And at that experience was just completely eye opening in terms both of the medicine, 29 00:03:27,020 --> 00:03:35,060 because I was moonlighting as an intensive care doctor and children's intensive care dealing with these desperately sick children. 30 00:03:35,640 --> 00:03:45,350 And during the very large increase in meningococcal disease, one form of meningitis during the 1990s, why was there a big increase when it goes? 31 00:03:45,350 --> 00:03:55,579 It always goes in cycles. There's this particular disease and we were in an upsurge of a new strain, I guess in today's parlance, 32 00:03:55,580 --> 00:04:04,319 a new variant emerging in in fact initially in the UK, but across the whole world, which caused a large increase in disease. 33 00:04:04,320 --> 00:04:13,190 So over the the few years I was there at St Mary's, maybe saw 400 children in intensive care with this dreadful condition. 34 00:04:13,760 --> 00:04:18,170 And my Ph.D. was studying the immunity to to this bacterium. 35 00:04:19,100 --> 00:04:29,430 And the obvious step from there is into vaccines. And so I decided after I got my Ph.D. to finish my training in infectious diseases in Canada. 36 00:04:29,790 --> 00:04:41,339 And so I spent two years in Vancouver and was offered a post to come back to Oxford after when I was in in Canada and decided that I 37 00:04:41,340 --> 00:04:49,440 really wanted to continue this theme of studying immunity to infectious diseases and realised that the best tool to do that was vaccines. 38 00:04:49,440 --> 00:04:53,550 Because you can study children's immune systems by vaccinating them and seeing how they respond. 39 00:04:54,240 --> 00:05:01,200 And so 20 years ago I came to Oxford and started work on here at the Office of Vaccine 40 00:05:01,200 --> 00:05:06,029 Group on trying to get a better understanding of immunity and very quickly realised 41 00:05:06,030 --> 00:05:10,620 that you can actually save lots of lives by booking all vaccine development in 42 00:05:10,620 --> 00:05:15,090 parallel with studying the immune response and the science behind how vaccines work. 43 00:05:15,480 --> 00:05:18,930 So in terms of your own particular contribution in this field, 44 00:05:19,500 --> 00:05:31,170 would it be true to say that you've been looking at the immune response and trialling vaccines in designing vaccines as somebody else's job? 45 00:05:31,170 --> 00:05:32,639 Is that right to have you know, 46 00:05:32,640 --> 00:05:44,370 I'm a bit of a not very good at anything but does everything and so we some what what might I do in my team is that we both design vaccines. 47 00:05:44,370 --> 00:05:52,050 We try to understand which bits of bacteria or viruses are needed to make immune responses and test those out in the lab. 48 00:05:57,450 --> 00:06:04,920 And then some of those vaccines we've taken into the clinic, we have phase one studies of vaccines for meningitis. 49 00:06:06,000 --> 00:06:13,890 Currently, we work on a vaccine for plague. The that the biggest pandemic ever affected humans that we know of. 50 00:06:14,370 --> 00:06:18,190 I mean, the 1300s where half of the population of Europe was wiped out. 51 00:06:18,210 --> 00:06:22,440 The black death, the black that. So we have a number of those. 52 00:06:22,440 --> 00:06:26,910 But but also because vaccine development normally takes a long period of time, 53 00:06:27,660 --> 00:06:34,080 we have studies with other collaborators where we look at vaccines they've developed and evaluate them, help move them along more quickly. 54 00:06:34,620 --> 00:06:42,689 And a particular area of interest for me has also been to look at the the vaccination program we already have and try to 55 00:06:42,690 --> 00:06:49,019 understand whether it is optimal and to to do studies to see whether we can tweak it to improve immunity in children, 56 00:06:49,020 --> 00:06:50,280 to make sure it persists better. 57 00:06:50,910 --> 00:06:59,129 And so I think the contributions really from my team over the last 20 years, some of it's new vaccine development, some is evaluation of vaccines. 58 00:06:59,130 --> 00:07:07,620 It helps get them licensed. And another part is understanding the population immunity so that we can treat vaccine, 59 00:07:07,800 --> 00:07:14,340 tweak vaccine programs so that huge populations, particularly children, can be better protected. 60 00:07:14,910 --> 00:07:22,890 So a lot of your work, apart from looking at the UK vaccine programme, you've done quite a lot of work in in tropical in developing countries. 61 00:07:23,580 --> 00:07:24,930 Why? Why is that important? 62 00:07:25,440 --> 00:07:35,250 Well, the biggest burden of infectious diseases in terms of both mortality and the severe disease is actually seen in low income settings. 63 00:07:35,880 --> 00:07:39,210 And so in some ways, in a high income setting like ours, 64 00:07:39,570 --> 00:07:45,570 we've dealt with most of the diseases that cause the infectious diseases that cause severe problems in children, 65 00:07:45,570 --> 00:07:51,149 not all of them, but but a large proportion. And in low income settings. 66 00:07:51,150 --> 00:08:00,480 There are lots of diseases that we don't have here at all that need addressing. But in addition to those diseases that that we don't have here, 67 00:08:00,900 --> 00:08:05,460 even the diseases we do have here are at a much greater burden and children are under-vaccinated. 68 00:08:06,000 --> 00:08:13,080 So focusing a lot of our work in those settings has a much bigger impact on those populations than it would do here. 69 00:08:13,170 --> 00:08:16,830 So these are things like measles and meningococcal meningitis. 70 00:08:17,820 --> 00:08:20,900 So the leading cause of death in childhood is pneumonia. 71 00:08:20,910 --> 00:08:23,970 So a large programme, for example, in Nepal has been on pneumonia. 72 00:08:24,900 --> 00:08:30,300 But my biggest program in terms of studies over the last decade was actually on typhoid. 73 00:08:30,840 --> 00:08:35,880 And we came into that because working on pneumonia in Nepal, 74 00:08:36,270 --> 00:08:43,380 I discovered that the bacterium that causes typhoid was the commonest cause of bloodstream infections in children. 75 00:08:43,900 --> 00:08:50,310 And astonishingly, when we looked at children who came to the hospital and the paediatricians there thought that these were probably viral infections, 76 00:08:50,520 --> 00:08:54,240 and we took blood samples. They had these bacteria growing in their blood. 77 00:08:54,690 --> 00:08:59,220 And that's the reason why they were on. Well, fortunately, they they were all treated with antibiotics, 78 00:08:59,940 --> 00:09:09,960 but it was a realisation that there's this disease which is causing a huge burden affecting children's health and their education in that setting. 79 00:09:10,610 --> 00:09:20,430 And so when I made those observations in the early 2000, one of the thought was, well, we actually know how to make vaccines for typhoid. 80 00:09:20,580 --> 00:09:27,870 What's holding it up? And we started working with an Indian vaccine company to try and support that 81 00:09:27,870 --> 00:09:33,359 programme and to convince people that actually that could be a huge impact. 82 00:09:33,360 --> 00:09:41,249 And what we did here in Oxford was that we vaccinated volunteers who were from a wide range of backgrounds, 83 00:09:41,250 --> 00:09:48,270 but people particularly from science backgrounds, and then deliberately infected them with typhoid. 84 00:09:48,270 --> 00:09:53,430 So we got to drink these bacteria as would happen if you went travelling and you got typhoid as a traveller. 85 00:09:54,120 --> 00:10:02,189 And they what we found was that the vaccine was highly effective in preventing typhoid and that then led to the World 86 00:10:02,190 --> 00:10:08,460 Health Organisation making global recommendations for the use of the vaccine and the Global Alliance for Vaccine, 87 00:10:08,470 --> 00:10:13,620 releasing money so that countries could apply for funds to implement programmes there. 88 00:10:14,490 --> 00:10:21,210 For us in our research, the next question really was for typhoid is how do you implement a typhoid vaccine now that we know that they work? 89 00:10:21,720 --> 00:10:30,870 And so we did two things. The first, we went to countries in Africa and in Asia and set up a surveillance program to document the 90 00:10:30,870 --> 00:10:36,450 burden so that we can help countries understand just what could be prevented if you had a vaccine. 91 00:10:36,960 --> 00:10:42,810 And that was really hard work. We had 100,000 people in each of three countries, so 300,000 people in total. 92 00:10:43,020 --> 00:10:49,410 And we just followed them to see if they'd develop typhoid, what the risk factors were and found this enormous burden of disease. 93 00:10:50,520 --> 00:10:56,940 And with those sites now set up and we understood the epidemiology of typhoid we're funding. 94 00:10:56,980 --> 00:11:02,760 From the Bill and Linda Gates Foundation. We went into those populations and vaccinated 100,000 children. 95 00:11:03,300 --> 00:11:08,520 And that allowed us to show the massive impact there is of a vaccine program. 96 00:11:08,790 --> 00:11:15,600 And now today, programs are rolling out in multiple countries that the most impressive so far this year was Pakistan, 97 00:11:15,960 --> 00:11:22,410 that in February vaccinated a million children per day for typhoid in the middle of a pandemic of COVID. 98 00:11:22,650 --> 00:11:24,900 My goodness, that is impressive. 99 00:11:25,380 --> 00:11:34,500 So by the time COVID came along, you had enormous amount of experience in running vaccine trials on a global, global scale. 100 00:11:35,910 --> 00:11:38,580 So just thinking back to the very beginning of the pandemic, 101 00:11:38,580 --> 00:11:45,390 what when did you first become aware that something pretty bad was in the offing and that you might get involved? 102 00:11:45,750 --> 00:11:52,890 Well, in January, I mean, we knew that there was this virus in and we had in China. 103 00:11:53,250 --> 00:11:57,540 Did you hear about that just in internal just from the media? 104 00:11:57,690 --> 00:12:05,579 I think probably from the media. I mean, it was on never with BBC stories as early as the 11th of January that I remember very, very distinctly. 105 00:12:05,580 --> 00:12:11,010 In fact, the on the 14th of January, the first case outside of China was documented. 106 00:12:11,340 --> 00:12:17,280 The headline on the 11th of January was New Virus in China, but it doesn't spread between humans. 107 00:12:18,360 --> 00:12:20,860 So, I mean, I think we were aware of it. 108 00:12:20,880 --> 00:12:25,950 I didn't I'm not much less interested in viruses because I always consider them not terribly important in the world. 109 00:12:27,270 --> 00:12:32,579 Bacteria is so much more interesting. They've got much bigger genomes and so there's much more to them. 110 00:12:32,580 --> 00:12:35,640 And they're tougher than viruses. But. 111 00:12:37,640 --> 00:12:44,990 So I think during January, I don't think anyone was very aware of just what's a risk to the world this was going to be. 112 00:12:45,710 --> 00:12:48,680 Not least because knowing that it was a coronavirus, 113 00:12:48,800 --> 00:12:54,770 there have been two previous coronavirus outbreaks over the last 20 years which didn't turn into a pandemic. 114 00:12:55,760 --> 00:13:03,530 And fortunately, my colleagues here in Oxford were already thinking about, well, if there was an outbreak in China, maybe we could help them. 115 00:13:04,010 --> 00:13:10,280 And so it started as an academic interest project, putting together the vaccine in February, 116 00:13:10,280 --> 00:13:14,390 obviously things became very obvious that there was there was going to be a major problem. 117 00:13:15,080 --> 00:13:27,230 And so as it became very clear that this was a pandemic, the various vaccine teams in Oxford got together to discuss how we could help. 118 00:13:27,890 --> 00:13:33,980 And I think it's important to understand that usually in universities you work on your research programme, 119 00:13:33,980 --> 00:13:40,310 another people might have other research programmes in the same area, and you might work together on some programmes, 120 00:13:40,790 --> 00:13:45,229 but to do to respond in a pandemic you have to do something unusual, 121 00:13:45,230 --> 00:13:53,870 which is bring all of the teams together that would normally work in their own silos to develop their products or to do their own research. 122 00:13:54,230 --> 00:14:00,440 Have to find a different way of working where everyone says, Actually, this is not about me, this is about a much bigger effort. 123 00:14:00,950 --> 00:14:06,170 And so what we did in structuring that was put people in charge at different bits of the operation. 124 00:14:06,740 --> 00:14:11,209 And so my colleague Sara Gilbert was was on the design side. 125 00:14:11,210 --> 00:14:19,700 And to get the manufacturing started optimising manufacturing was Sandy Douglas and test lab was about initial 126 00:14:19,700 --> 00:14:25,939 design but then took over coordinating the laboratory infrastructure and I took over the clinical trials. 127 00:14:25,940 --> 00:14:34,250 And the great thing was that I then had access to multiple teams across Oxford who do clinical trials of vaccines, 128 00:14:34,430 --> 00:14:39,290 but they had all reported to me that some live for Test lam in the laboratory. 129 00:14:39,530 --> 00:14:48,979 She took my laboratory staff and they reported to her that capacity and capability that there is in the system here meant that we can 130 00:14:48,980 --> 00:14:57,050 really stand up something which has competed with Big Pharma in being able to develop a vaccine and get it licensed in less than a year. 131 00:14:57,410 --> 00:15:03,470 And how easy is up to do, as you say? I mean, were people out of their comfort zones or did everybody just not do it? 132 00:15:03,870 --> 00:15:14,210 And I think the definitely the starting point of how do you work together and who's my boss was it had some teething troubles, 133 00:15:14,540 --> 00:15:19,399 but I think it was very rapidly apparent as time went on that the virus that 134 00:15:19,400 --> 00:15:25,430 arrived in the UK and the urgency of focus really brought everyone together in, 135 00:15:25,490 --> 00:15:28,819 I think in a very strong team to do that. 136 00:15:28,820 --> 00:15:37,760 Now there's clearly lots of different ways of thinking and discussions that you have to have as you build a team to work on it. 137 00:15:37,760 --> 00:15:49,220 But because people were working as a single unit rather than split by departments or research groups, it really did mean that we could, 138 00:15:49,640 --> 00:15:57,280 I think, bring the necessary focus and that that got beyond any of the sort of the personal interests that you normally have in an academic. 139 00:15:57,280 --> 00:15:58,940 You make it cool, you get your paper published. 140 00:15:59,210 --> 00:16:06,290 This was much more about can we make a vaccine that can contribute to saving the world in the pandemic? 141 00:16:06,740 --> 00:16:13,490 And I think we did that know that was you pre-empt the question I was going to ask that that's that's great and. 142 00:16:15,330 --> 00:16:21,810 I think just I think it would be helpful at this stage just to talk me through the clinical trials. 143 00:16:22,140 --> 00:16:27,570 How did you start? How did the scale of your ambition grow? 144 00:16:27,660 --> 00:16:32,880 As as time went on and they put further questions to you as we go. 145 00:16:33,420 --> 00:16:35,909 Well, I mean, it all, of course, starts before the trial. 146 00:16:35,910 --> 00:16:44,399 The first thing that was was happening was getting the the initial designed vaccine through the the early 147 00:16:44,400 --> 00:16:49,020 stage processes that allows it then to go into a manufacturing facility that makes things for humans. 148 00:16:49,530 --> 00:16:53,580 I should say that I've already interviewed Kathe Green. Okay. And I'm hoping to interview Sarah. 149 00:16:53,730 --> 00:17:01,740 Yes. Put me off for the time being, but I'm working. So you don't need to tell me all the things they did because you get that from them. 150 00:17:01,800 --> 00:17:08,670 But there's an important bit of context, though, that was lost. That work of getting into the manufacturing facility was happening. 151 00:17:08,710 --> 00:17:17,130 Yeah, the that gave us the sort of timelines of what we needed in order to get everything stood up to the trials. 152 00:17:17,140 --> 00:17:20,580 Yeah. And so we had to work very closely together to understand that. 153 00:17:20,940 --> 00:17:26,140 And there's the, once the manufacturing has started, as long as nothing goes wrong, 154 00:17:26,550 --> 00:17:30,870 you have a fairly clear idea of when things should actually be in a vial. 155 00:17:31,260 --> 00:17:36,210 And then when the released testing, which is the quality testing of the product, can be completed. 156 00:17:36,540 --> 00:17:43,980 So the, you know, the date on which the first dose can be given and we had a few weeks of uncertainty when that exactly would be. 157 00:17:44,430 --> 00:17:49,979 And there are also animal studies going on in the US which were interestingly 158 00:17:49,980 --> 00:17:53,640 the regulators didn't require to have those data in order to start the trial. 159 00:17:54,120 --> 00:17:55,979 But internally, in discussion with the university, 160 00:17:55,980 --> 00:18:01,470 we'd agreed that we would wait for those data before actually giving the first dose on your vaccine, 161 00:18:01,500 --> 00:18:02,250 on our vaccine, 162 00:18:02,730 --> 00:18:11,100 so that there are lots of the vaccine made in the US because there's some very good collaborators who had the best animal models already set up. 163 00:18:11,490 --> 00:18:18,180 And of course early in the pandemic, lots of people were setting up the other models to allow you to do the studies. 164 00:18:18,600 --> 00:18:25,830 But you we were fortunate to have a partner who had it already worked with coronaviruses and was ready to go and got this set up very quickly. 165 00:18:26,550 --> 00:18:34,710 And so as the the readouts came from the animal studies and then the final release testing arrived, which was the 22nd of April, 166 00:18:35,580 --> 00:18:43,050 we were then able to have worked out roughly what that date was so that on the 23rd of April we were able to start the trials. 167 00:18:43,410 --> 00:18:46,140 But by that time you would have had to recruit the people. So. 168 00:18:46,290 --> 00:18:53,219 So the way that we did that was having knowing the timescales, we could go to the Ethics Committee and to the MHRA, 169 00:18:53,220 --> 00:18:58,590 the UK regulator, and to get all of the protocols and our plans approved. 170 00:18:59,070 --> 00:19:05,730 And of course the UK regulator doesn't usually approve a trial until they've got that release test and the quality. 171 00:19:06,240 --> 00:19:09,809 And so we negotiated with them. I know very flexible about this. 172 00:19:09,810 --> 00:19:14,970 They would approve everything apart from the final signature which came on the 22nd of April. 173 00:19:15,240 --> 00:19:18,510 But we had that preliminary approval many weeks before that, 174 00:19:19,140 --> 00:19:27,750 and the MHRA did their approval for the trial in one week, and suddenly they were normally after you. 175 00:19:28,140 --> 00:19:31,950 Once you submit the documents, you should get a result in about 30 days, 176 00:19:31,950 --> 00:19:40,950 assuming they accept everything from this questions and it takes longer than that with the Ethics Committee, they were able, 177 00:19:40,950 --> 00:19:46,920 from the date of submission of our protocols and information for the trial participants, 178 00:19:47,160 --> 00:19:52,410 they gave approval four days later and nobody got any corners cut with any of these processes. 179 00:19:52,410 --> 00:19:58,710 They just they didn't have administrative time lines to say, well, we'll review to the next committee in three months time. 180 00:19:59,010 --> 00:20:03,000 They just said, we'll set up a committee to meet as soon as you submit. 181 00:20:03,300 --> 00:20:07,379 And that's exactly what they did. So I think both of those organisations met in March. 182 00:20:07,380 --> 00:20:11,460 We actually had the provisional approvals to start the study so. 183 00:20:11,610 --> 00:20:18,239 So that meant that by the end of March, beginning of April, we could start advertising and we were completely inundated. 184 00:20:18,240 --> 00:20:27,060 We opened a website and I don't know what it was, 10,000 people responded within a matter of hours wanting to take part. 185 00:20:27,690 --> 00:20:32,130 And so we knew that we would be able to get the trials moving. 186 00:20:32,310 --> 00:20:39,180 And it just they needed the capacity in the in the team here in the office to to do some initial screening of people and start booking appointments. 187 00:20:39,180 --> 00:20:47,520 And do you think people volunteered out of altruism or because they thought they would it's that best chance of getting protected against the virus. 188 00:20:48,510 --> 00:20:57,870 When I think if you can think back to that time and although I have no experience of lockdown, apart from the fact when you come to work, 189 00:20:57,870 --> 00:21:04,620 there's no one on the street, most people were locked down at home, desperately wanting to make some contribution and to help end it all. 190 00:21:05,370 --> 00:21:14,400 And most of the people I've spoken to that at that moment, they were saying we just felt we needed to do something. 191 00:21:15,150 --> 00:21:23,370 The scientist felt, I can't go to work and do my science, but I could contribute in some way to the science that's required. 192 00:21:23,790 --> 00:21:30,240 And it was it was, I think, quite emotional in a way that people were so desperate to make some contribution. 193 00:21:31,040 --> 00:21:39,120 And the altruism question is an interesting one, because I, I suspect that it largely was about we've got to help the world to improve. 194 00:21:39,990 --> 00:21:47,670 Self-interest, I think, is may may have driven some people, but when they come through the door and we say to them, 195 00:21:47,670 --> 00:21:51,110 we don't know if this vaccine is safe, we don't know if it'll work. 196 00:21:51,330 --> 00:21:58,530 Can you take part in the trial? I think altruism goes out of the door that this sorry, the self-interest goes out of the door. 197 00:21:58,530 --> 00:22:03,390 At that point, people really are there because they've decided that they can make a contribution. 198 00:22:03,460 --> 00:22:09,060 Many of them turn around and leave at that. I mean, usually we screen people out on the phone in that moment. 199 00:22:09,390 --> 00:22:14,310 But of course, some people when you go through things like detail, you tell them how many blood tests they're going to have. 200 00:22:14,820 --> 00:22:18,660 That's just too scary for them and they don't want to take it. So that was the next thing I was going to ask. 201 00:22:18,660 --> 00:22:20,670 Well, what did they have to commit themselves to? 202 00:22:21,300 --> 00:22:29,640 So the people who took part in the studies really committed to to be with us for at least one year and 203 00:22:29,640 --> 00:22:35,790 to have multiple blood samples taken over the course of that time to monitor their immune response. 204 00:22:36,270 --> 00:22:44,159 Those who were in the initial trials had a much more intense sampling because that's required to demonstrate the safety of the product, 205 00:22:44,160 --> 00:22:49,620 and the regulators needed to have as much information as possible in order to do that. 206 00:22:50,640 --> 00:22:56,550 And for people who took part in the later phase trials, they had much less intense involvement. 207 00:22:58,360 --> 00:23:01,890 Yeah. So it's it's a big burden certainly initially for people. 208 00:23:02,110 --> 00:23:06,000 What's the difference to you what you're looking for in the phase one trials and then in the next? 209 00:23:06,360 --> 00:23:10,800 Well, the Phase one trial is trying to essentially evaluate safety. 210 00:23:11,280 --> 00:23:19,710 And so we we're measuring how people feel or any symptoms, any adverse events they sort they suffer from. 211 00:23:20,490 --> 00:23:28,800 But we also take blood tests to see if the blood flow is altered in any way by being vaccinated. 212 00:23:29,040 --> 00:23:38,730 Does it affect their kidneys or their liver or, you know, does it have any effect on their their ability to fight infections and so on? 213 00:23:39,030 --> 00:23:46,319 So all of us documented we also measure their immune response to the vaccine in the later phase trials. 214 00:23:46,320 --> 00:23:50,430 We did measure immune response to the vaccine, but we don't do all of the other detailed blood work. 215 00:23:51,480 --> 00:23:57,540 But the main point of those is to find out, does the vaccine work? And so half the group get the new COVID vaccine. 216 00:23:57,540 --> 00:24:00,750 The other half gets a controlled vaccine, which doesn't protect. 217 00:24:01,020 --> 00:24:06,870 And we wait to see who gets COVID and hopefully those who've been vaccinated with the new vaccine and are protected. 218 00:24:06,870 --> 00:24:13,049 And indeed, that's what we saw. But of course, at the time that was happening, we were we were all in lockdown. 219 00:24:13,050 --> 00:24:21,600 So the virus was that the circulation of the virus was being prevented as far as possible by the non pharmaceutical interventions. 220 00:24:21,840 --> 00:24:25,320 Did that make it more difficult for you to conduct a trial? 221 00:24:25,380 --> 00:24:32,520 Well, one of the one of the aspects of the trials that that was for us was critical was our ability to adapt to the circumstances. 222 00:24:33,000 --> 00:24:35,579 And so when we set out with the Phase one trial, 223 00:24:35,580 --> 00:24:41,370 I was talking to the well-known modellers who were predicting what was going to happen in the pandemic. 224 00:24:41,940 --> 00:24:51,810 And in March the predictions were terrifying, and we thought that with a single dose of the vaccine, we could have an impact. 225 00:24:52,260 --> 00:25:00,450 And they felt with the numbers of cases coming through by then, but by late March, April would be enough that we'd actually get the answer. 226 00:25:00,810 --> 00:25:06,180 Within the phase one trial of whether the vaccine worked and because of this sort 227 00:25:06,180 --> 00:25:11,580 of terrible scenario of maybe 300 or 500,000 deaths very rapidly in the UK, 228 00:25:12,660 --> 00:25:19,110 we felt that a single dose was the only option because two doses would take too long to actually save people's lives. 229 00:25:19,620 --> 00:25:29,729 And so the initial plan was a single dose vaccine. What then happened with lockdown was that the cases evaporated and there were two results for that. 230 00:25:29,730 --> 00:25:35,400 One was that realising that the non-pharmaceutical interventions would work better than anyone had predicted. 231 00:25:35,910 --> 00:25:39,120 So to maximise immune responses, we'd go to two doses. 232 00:25:40,050 --> 00:25:50,370 And the second thing was that in order to increase the chance of being able to capture infections and be able to get a result, 233 00:25:50,580 --> 00:25:57,959 we needed much larger studies because of the non-pharmaceutical interventions and I remember thinking, 234 00:25:57,960 --> 00:26:00,450 I have no idea what's going to happen with the next wave. 235 00:26:00,750 --> 00:26:07,080 Will it appear in Sheffield and not in Oxford, and would it only appear in some other country and not here? 236 00:26:07,380 --> 00:26:12,480 Will we have to wait six months? We can't afford to wait. We need to find a way of answering that. 237 00:26:12,480 --> 00:26:14,840 So we immediately may fact to. 238 00:26:14,900 --> 00:26:22,910 I did this a couple of days after the first dose went and realised that we were going to need to expand for the later phase trials. 239 00:26:23,330 --> 00:26:32,150 Contacted colleagues all over the UK and asked them if they would take part in a much bigger phase three trial. 240 00:26:32,620 --> 00:26:38,960 And every single person said yes. And they started working on setting up their their trial site to be able to do that. 241 00:26:39,500 --> 00:26:43,370 Three weeks later, we started the trials with them. 242 00:26:43,400 --> 00:26:49,270 So they did their own recruitment, did they. So so we had a centralised database. 243 00:26:49,280 --> 00:26:52,669 Yes, but they used it, it was locally so they had I mean, 244 00:26:52,670 --> 00:26:59,630 the ethics means that the data about the personalised data needs to stay with the local trial sites so it all runs through those sites. 245 00:27:00,930 --> 00:27:04,820 So that was just a few days after the first dose had gone and we already knew we had to do that. 246 00:27:05,390 --> 00:27:09,940 And over that week, I then contacted colleagues in Latin America, 247 00:27:10,160 --> 00:27:15,379 in Africa and in Asia with the same message that know we need to collaborate is we 248 00:27:15,380 --> 00:27:20,480 need much larger scale studies in order to move on to the next the next stage, 249 00:27:20,690 --> 00:27:22,890 because we don't know where the virus is going to appear next. 250 00:27:23,450 --> 00:27:30,500 And we then set up trial sites seven in South Africa and six in Brazil, as well as the 19 in the UK. 251 00:27:31,010 --> 00:27:32,719 And we started work on Asian sites. 252 00:27:32,720 --> 00:27:41,090 But in the end with the Partnership AstraZeneca, they contracted with service use of India, who then ran the Asian trials. 253 00:27:41,510 --> 00:27:48,440 So at portfolio studies was UK, Brazil and South Africa a major challenge at that point, 254 00:27:48,680 --> 00:27:53,809 having decided that's where we needed to go to get the scale needed to get the answer quickly, 255 00:27:53,810 --> 00:27:57,620 but also to meet the next wave of the virus that was was funding. 256 00:27:58,100 --> 00:28:00,470 And so the government had funded the UK trials, 257 00:28:00,740 --> 00:28:06,080 but it was difficult at that moment to persuade anyone that they should fund a trial in Brazil or South Africa. 258 00:28:06,090 --> 00:28:08,899 I said, Well, why? Why would we do that? We don't need that. 259 00:28:08,900 --> 00:28:15,170 And I don't think we managed to make the argument that you need big, big studies and we should they should follow all of them. 260 00:28:15,740 --> 00:28:25,480 And so in the end, the Bill Melinda Gates Foundation funded South Africa and the Lemon Foundation, a charity funded the trial in Brazil. 261 00:28:25,790 --> 00:28:32,810 And so we then were able to coordinate those three trials, unfortunately run separately because of that and those different arrangements, 262 00:28:33,410 --> 00:28:39,770 which made it much more complicated to then bring the data together for our regulatory submissions later on. 263 00:28:40,580 --> 00:28:45,200 But I think we still managed that without too much difficulty, but much harder than it should have been. 264 00:28:46,860 --> 00:28:53,380 Good. So, yes, you mentioned the AstraZeneca coming. 265 00:28:53,620 --> 00:29:01,989 Was that something that you were personally involved in at all? So there were some initial discussions with several companies because it's absolutely 266 00:29:01,990 --> 00:29:07,420 clear that whereas we know how to do vaccine design and development and clinical trials, 267 00:29:07,840 --> 00:29:14,070 the things that we don't do is regulatory submissions and global manufacturing and distribution. 268 00:29:14,080 --> 00:29:21,100 That's not what universities do. So we knew we needed a farmer partner and there was discussions with a number of these. 269 00:29:21,310 --> 00:29:28,209 AstraZeneca in some ways was more unlikely because they although they did have a flu vaccine business, it wasn't the major part of what they do. 270 00:29:28,210 --> 00:29:32,110 They're a big oncology pharmaceutical company, particularly. 271 00:29:32,920 --> 00:29:37,480 And but they were, I think, very keen to get involved. 272 00:29:37,540 --> 00:29:43,780 They also share the same vision of a not for profit development that the university had. 273 00:29:44,260 --> 00:29:53,080 And so those those initial discussions, I think, showed that there was a joint thought process about how they should move forwards. 274 00:29:53,530 --> 00:29:58,359 And then Central University that dealt with the negotiations over that and very much led 275 00:29:58,360 --> 00:30:02,590 by senior figures in the medical sciences division and the Vice Chancellor herself. 276 00:30:05,450 --> 00:30:12,870 And I'm. Yeah. You talked about MHRA and there was also the vaccine taskforce. 277 00:30:12,870 --> 00:30:19,440 So all these national bodies, one of which you actually chair the Joint Committee on Vaccination Immunisation and. 278 00:30:21,060 --> 00:30:28,800 Tell me about how you managed that role, but at the same time as running a mexican truck. 279 00:30:28,890 --> 00:30:36,390 Yeah. So there's this several components to your question as they make sure they're the regulator, they're independent. 280 00:30:36,600 --> 00:30:38,370 They're tough with us, as they should be. 281 00:30:39,060 --> 00:30:46,770 But they were one of the most flexible regulators in the world in immediately getting this rolling review idea, 282 00:30:46,770 --> 00:30:53,339 both for the trials and then later for regulatory submissions, which shortens the timescale of the review processes. 283 00:30:53,340 --> 00:30:54,600 And I think to move swiftly, 284 00:30:55,170 --> 00:31:03,420 they also were prepared to be very engaged to give advice during the trials in a much more open way than the normally happens, 285 00:31:04,470 --> 00:31:08,400 obviously vigorously defending their independence from us, 286 00:31:09,090 --> 00:31:15,870 but allowing me to share data with them to help advise on the next stages of the trial so they can make rapid decisions as they went along. 287 00:31:17,070 --> 00:31:26,760 The vaccine taskforce, which was chaired by now Dame Kate Bingham, were absolutely critical both in working out where to put the government's money, 288 00:31:27,210 --> 00:31:31,770 but but then also making the decisions about spending and moving things quickly forward. 289 00:31:31,770 --> 00:31:37,110 And I think Kate has done the most astonishing job in doing that. 290 00:31:37,110 --> 00:31:43,559 And I had regular meetings with her on usually on Sunday mornings to talk about the latest crisis or or 291 00:31:43,560 --> 00:31:51,090 to share the latest results that she could use to inform government about how things were going and. 292 00:31:52,950 --> 00:31:58,230 As far as GBI is concerned. I have charged GBI for many years now. 293 00:31:58,740 --> 00:32:06,030 And very early on in the pandemic, we agreed with the Department of Health that I should recuse myself from chairing 294 00:32:06,030 --> 00:32:09,840 the Komen committee because of my involvement in the vaccine development. 295 00:32:10,440 --> 00:32:16,020 And so one of the other members, Wayne Limb, has been chairing the COVID 19 committee. 296 00:32:16,350 --> 00:32:21,960 And I haven't taken any part in it. I haven't attended any of the meetings or been involved in any decisions there, 297 00:32:22,620 --> 00:32:27,600 which in some ways for me has been frustrating because I'm so interested in what's going on. 298 00:32:28,380 --> 00:32:36,120 But I've not taken part. But the main GBI meetings for all of the vaccines I continue to chair and those have continued. 299 00:32:36,120 --> 00:32:40,669 But it's a slow pace during the pandemic, as has been so hard for the rest of the committee. 300 00:32:40,670 --> 00:32:43,950 You've been meeting every week on the other on the other diseases. 301 00:32:43,950 --> 00:32:48,139 So it's not unlike Georgia is not a regulated is it an advisory body? 302 00:32:48,140 --> 00:32:55,950 Is that so? So GBI is a is a an independent scientific advisory body of the Department of Health. 303 00:32:57,330 --> 00:33:06,959 And what we we do is we advise ministers on on vaccine policy for the U.K. So we don't we don't approve vaccines. 304 00:33:06,960 --> 00:33:14,970 That's up to the MHRA, but we look at how they might be used optimally for the UK population and in the absence of a pandemic, 305 00:33:15,810 --> 00:33:21,840 very much also whether it's cost effective for the NHS using Treasury rules to help make that determination. 306 00:33:22,950 --> 00:33:28,980 So they would have been involved in decisions like how long the interval between vaccines should be. 307 00:33:29,130 --> 00:33:35,760 Yeah, so? So jcvi decide on who should be vaccinated first. 308 00:33:35,760 --> 00:33:39,540 And they quite rightly went for older adults and people with health conditions 309 00:33:39,540 --> 00:33:44,669 first and then will decide on when pregnant should roll out in children and so on. 310 00:33:44,670 --> 00:33:51,899 Yes. So all of those decisions are made by JCI and we jumped ahead a bit because we're talking about rollout now. 311 00:33:51,900 --> 00:34:01,080 But what what were some of the moments that stand out in your mind from during the period when the trials were going on? 312 00:34:01,560 --> 00:34:09,090 And. Well, probably the first jab was the first dose being given was was a major day. 313 00:34:09,720 --> 00:34:15,280 And of course, the media ruled here. And it was it was a very busy day. 314 00:34:15,280 --> 00:34:23,820 You got lots of filming of what was happening, talking to various media on camera and on a radio. 315 00:34:25,340 --> 00:34:33,860 But I had a sense on that day that this is a huge palaver for what is the very beginning of the most enormous journey that we that we've set out on. 316 00:34:34,610 --> 00:34:42,379 And but I didn't expect just three days later to be facing fake news. 317 00:34:42,380 --> 00:34:46,430 The first Trump volunteer had died, which, of course, she hadn't. 318 00:34:47,510 --> 00:34:55,070 And I got the got the information when I was out for a run early on the Sunday morning. 319 00:34:55,790 --> 00:34:59,480 And as the person responsible for all the participants in the trial, 320 00:34:59,660 --> 00:35:04,250 my thought was obviously for this individual and how she must be feeling her family, 321 00:35:04,250 --> 00:35:07,950 who some of whom wouldn't even know whether it was true, her colleagues at work. 322 00:35:08,510 --> 00:35:11,550 But then, of course, the impact it has on the other people in the trial. 323 00:35:11,570 --> 00:35:16,070 And of course, competence in vaccines in general. And so there's two things I did. 324 00:35:16,100 --> 00:35:21,170 One was talk to the university comms department to make sure that we got information out quickly. 325 00:35:23,300 --> 00:35:27,660 And then also, I talked directly to the BBC and said, no, 326 00:35:27,710 --> 00:35:33,250 you just met this this lady a couple of days ago and I need some help because this 327 00:35:33,290 --> 00:35:37,820 the implications of not dealing with this quickly are just awful for the world. 328 00:35:38,480 --> 00:35:42,200 And they immediately contacted the participant. 329 00:35:42,590 --> 00:35:49,520 They tweeted an interview of her. He went on the BBC news website and it was immediately all around the world that it was fake news. 330 00:35:49,940 --> 00:35:58,820 And I think that was, for me, the first moment where I realised that we were not in the place that we normally are with vaccine development, 331 00:35:59,720 --> 00:36:05,320 because every time we looked out the window from then on, the whole world was watching. 332 00:36:07,000 --> 00:36:12,970 And that's very different. I mean, I you know, I have to confess, I didn't know about your typhoid study, which is clearly had enormous global impact. 333 00:36:13,120 --> 00:36:16,750 Well, the typhoid study has been in the news. You obviously don't read the news. Certainly. 334 00:36:17,410 --> 00:36:27,100 I mean, that kind of. No, but it but interestingly, it's had more media attention than almost any other of the programs that run. 335 00:36:27,100 --> 00:36:33,280 But on vaccines, it's had huge media attention. But because the Chinese studies that we were doing went to infecting people was big news. 336 00:36:33,850 --> 00:36:40,300 And the the the work that we did in Nepal showed the vaccine was reported all over the world. 337 00:36:40,600 --> 00:36:47,079 But it but it doesn't chime with the public because it has for most of us, typhoid is a traveller's problem. 338 00:36:47,080 --> 00:36:54,310 You go to the travel for they can get your vaccine. Um, but here we're dealing with COVID, which matters for all of us. 339 00:36:54,730 --> 00:36:58,570 And I think in, in some ways it makes me feel a bit frustrated. 340 00:36:58,570 --> 00:37:05,590 The impact of vaccines are having every day in the world is greater than COVID vaccines, and yet we don't celebrate them at all. 341 00:37:07,740 --> 00:37:12,650 Maybe that will change. Maybe. At the moment. 342 00:37:13,590 --> 00:37:19,170 Yes. So we've been talking about that with other events during the trial that really stand out in your mind? 343 00:37:19,230 --> 00:37:27,270 Yes. I mean, I think during the trials, the other big events that were very difficult to handle were around safety. 344 00:37:27,930 --> 00:37:35,159 And what what happened there was that the right way of managing safety in trials is 345 00:37:35,160 --> 00:37:41,220 that you have a system where whenever there is an event which you can't explain, 346 00:37:42,250 --> 00:37:50,370 that if it's serious and you think it might be related to the vaccines, you can't disprove that. 347 00:37:51,180 --> 00:37:56,190 You then have to go through quite a process of deciding whether it's safe to 348 00:37:56,190 --> 00:37:59,340 give further doses whilst you're trying to work out whether this is a problem. 349 00:38:00,000 --> 00:38:10,380 And so on two occasions during the trials, I took the decision to stop the trial in order to have independent review of an event which had happened. 350 00:38:10,920 --> 00:38:17,999 And that's done by our Data Safety Monitoring Committee, who are independent, the Americans mostly. 351 00:38:18,000 --> 00:38:26,100 But there's also representation from Latin America and Africa and the UK and the MHRA. 352 00:38:26,340 --> 00:38:32,670 And in fact we also had an independent neurologist who was also reviewed information. 353 00:38:32,970 --> 00:38:43,710 So there's a very well set up review process that gives me the confidence that it's all been looked at by people who are not vested in the trial, 354 00:38:44,340 --> 00:38:50,910 and that allows me to then restart. And so we went through that process on two occasions in the clinical trials, 355 00:38:51,630 --> 00:38:58,080 and on the second occasion it was someone who developed a neurological condition called transverse myelitis, 356 00:38:59,010 --> 00:39:04,560 which I think the view is that it's not associated with the vaccine, 357 00:39:05,460 --> 00:39:12,960 that even if it had been with a single case when it was looked at at that time, there's no way that you could have told whether it was or not. 358 00:39:13,920 --> 00:39:18,719 But as it turns out, those cases are not the size of the vaccine. You know, that there's 2 billion doses been given. 359 00:39:18,720 --> 00:39:25,440 We know it isn't. But at the time, we I couldn't say for certain that this wasn't a very unusual, rare side effect. 360 00:39:25,440 --> 00:39:32,790 So it needed independent review as to the processes were followed as they are in every clinical trial I've ever been involved with. 361 00:39:33,390 --> 00:39:40,200 But the media side immediately got hold of this trial, stopped a serious neurological event caused by the vaccine, 362 00:39:40,710 --> 00:39:47,610 and the difficulty of managing that because, you know, again, it's having this global impact on confidence. 363 00:39:48,090 --> 00:39:53,520 But the message should have been this is normal safety processes. 364 00:39:53,670 --> 00:39:58,950 Isn't it wonderful that the trials are running in that way to very carefully evaluate each case? 365 00:40:00,300 --> 00:40:06,690 And what was surprising to me now in retrospect, and I know this happens with other developers, zero media noise about any of them, 366 00:40:07,050 --> 00:40:15,120 but I just can't understand why we got so much attention damaging to the vaccine because of these events happening. 367 00:40:15,330 --> 00:40:19,409 And I think probably it was because we were so far ahead of everyone and there 368 00:40:19,410 --> 00:40:23,160 was nothing else to talk about it apart from what was happening in our trials. 369 00:40:24,660 --> 00:40:32,760 But in a way, to me, it just shows good trial governance and it haunts many people who suffered through 370 00:40:32,760 --> 00:40:37,320 the the and the difficulties of that and the huge media attention it generated. 371 00:40:37,860 --> 00:40:47,790 And so then but eventually your positive result emerged, although in a slightly nuanced way, it wasn't just one number. 372 00:40:48,660 --> 00:40:54,870 Well, it's interesting that you say that, because for all of the vaccines that have been out, there isn't just one number. 373 00:40:55,050 --> 00:40:59,880 And I think one of the maximum was something like seven or 11 with one of one of the vaccines. 374 00:41:00,390 --> 00:41:03,990 But again, we had three numbers and I'd explain why. 375 00:41:03,990 --> 00:41:08,700 But but that generated an enormous amount of media attention as it being a problem. 376 00:41:09,750 --> 00:41:12,900 From from our perspective, we didn't want to hide anything. 377 00:41:13,110 --> 00:41:17,850 Absolutely. We wanted to put the information out publicly that was there. 378 00:41:18,060 --> 00:41:21,570 We discussed that with a data safety monitoring board. 379 00:41:22,260 --> 00:41:25,310 And it was the right thing to do to to. 380 00:41:25,800 --> 00:41:36,660 And, of course, it's important to understand that what happens is that you do this initial analysis focusing on the high level numbers and those, 381 00:41:36,840 --> 00:41:41,790 and that that was on a Saturday, which would have been the 21st of November. 382 00:41:42,670 --> 00:41:45,840 And those I didn't know the results. 383 00:41:46,680 --> 00:41:54,149 They don't put together by an independent statistician who then goes through them with the Data Safety Monitoring Board. 384 00:41:54,150 --> 00:42:01,410 So this is all online. I was sitting here in my office at the computer when I was then invited into that meeting. 385 00:42:02,100 --> 00:42:06,270 You know, I felt like I was in the headmaster's office, about to hear the results. 386 00:42:06,280 --> 00:42:12,990 I had no idea what it would show. And I think that this was in the evening, I know, 630 or something in the evening. 387 00:42:13,470 --> 00:42:18,000 And they they then went through the results are some of the results of the first time. 388 00:42:18,000 --> 00:42:22,080 I was the only person who saw those apart from the statistician, 389 00:42:22,740 --> 00:42:27,930 and there was no discussion with the Data Safety Committee that they had ended the call. 390 00:42:28,350 --> 00:42:33,030 And then I had the results the next step. And I phoned Sara Gilbert and told her the results. 391 00:42:33,930 --> 00:42:40,170 And then we had to start a process of sending all of the data to AstraZeneca so it could be verified during day, 392 00:42:40,710 --> 00:42:47,160 and then we could work through Sunday to establish how we would then start sharing that publicly, 393 00:42:47,160 --> 00:42:53,940 because for them, those the markets meant that when they had new data, they had to go to the markets. 394 00:42:54,270 --> 00:42:59,639 So we just had this these high level three numbers that we had not had time to dig 395 00:42:59,640 --> 00:43:03,360 into the data and fully understand why they were like they were and what they meant. 396 00:43:04,470 --> 00:43:11,280 But to show just one of them would have been it would have been a commercially the right thing to do 397 00:43:11,460 --> 00:43:16,440 before an integrity point of view was it would not have been right because we knew we had three numbers, 398 00:43:17,520 --> 00:43:23,480 but in fact were quite good. They're they're all good. They're good. And so the next day we took it. 399 00:43:23,490 --> 00:43:27,120 We should make this clear. The number we're talking about is the percent effectiveness. 400 00:43:27,120 --> 00:43:29,400 Yeah, it's the efficacy of the vaccine. 401 00:43:30,590 --> 00:43:37,580 And in fact, it's more than three numbers because it was 100% protective against severe disease and hospitalisation. 402 00:43:38,550 --> 00:43:43,500 And then we had within the study two different dose intervals. 403 00:43:43,500 --> 00:43:52,140 We had the shorter interval, which had a lower efficacy, the longer dose until and it gave an overall number of around 70% efficacy. 404 00:43:52,870 --> 00:43:58,079 One of the things that's also very difficult to to for people to understand is 405 00:43:58,080 --> 00:44:03,270 that the efficacy as you measure it very much depends on what you call a case. 406 00:44:03,900 --> 00:44:09,900 And in our trials, we were looking largely at very mild disease because we were hoping people every week. 407 00:44:10,410 --> 00:44:13,590 And so we had a lot of cases that were extremely mild. 408 00:44:14,250 --> 00:44:22,560 And so as we now know, the efficacy of vaccines against mild disease or asymptomatic infection is much lower than it is against severe disease. 409 00:44:22,860 --> 00:44:29,730 So if you put your study in a way that you're measuring much more severe disease, you'll have a higher number than if you look at milder disease. 410 00:44:30,900 --> 00:44:38,970 So the comparisons made with the other vaccines that we that people were understanding that in the absence of head to head study, you can't say that. 411 00:44:40,350 --> 00:44:46,080 And then the fact that we couldn't fully explain why we had three numbers made it look like it was messy. 412 00:44:46,350 --> 00:44:54,890 But actually it wasn't. It was the study. And it was just just presenting things as they on the Monday morning. 413 00:44:55,140 --> 00:44:58,560 You know, I then had to do lots of interviews by the evening. 414 00:44:58,860 --> 00:45:01,830 I was in Downing Street announcing the results with the Prime Minister. 415 00:45:02,250 --> 00:45:08,430 And so that whirlwind of the huge amount of work to get the data ready to go to the statisticians the week before. 416 00:45:08,910 --> 00:45:14,570 And I remember standing there at the podium in in Downing Street and thinking, I have no idea what I've just said. 417 00:45:14,580 --> 00:45:18,720 I'm so tired. I'm exhausted. It was the most. 418 00:45:20,010 --> 00:45:29,140 I mean, I remember every moment of it, but I just at that time, I was just in some ways, it was a blur. 419 00:45:29,160 --> 00:45:37,889 It was just a blur. And how did you feel emotionally? I mean, did you did you feel triumphant or was it to with all this other stuff, 420 00:45:37,890 --> 00:45:41,790 making it difficult for you to feel a sense of, yes, we've put this off? 421 00:45:42,920 --> 00:45:49,560 I think there wasn't really much time for reflection because there was so much to do from the moment of getting the results. 422 00:45:50,970 --> 00:45:55,650 There was thinking about Sarah, we need to get the data, upload it to AstraZeneca tomorrow. 423 00:45:55,650 --> 00:46:00,780 We've got to start meeting with them with their statisticians and all the relevant parties 424 00:46:00,780 --> 00:46:04,830 meet with government to show them the results so that they're not blindsided the next day. 425 00:46:05,520 --> 00:46:11,640 It really wasn't time for a triumphant moment or a deflated moment or whatever. 426 00:46:12,540 --> 00:46:18,660 And of course, the we were very aware that having some uncertainty be what the three numbers meant. 427 00:46:20,100 --> 00:46:26,430 It looked like it was probably the dose interval, but we couldn't we hadn't had time to dig into the data to answer that. 428 00:46:26,920 --> 00:46:33,860 And so we weren't in a position initially to say categorically, and that made us look like we didn't know what we were doing. 429 00:46:33,870 --> 00:46:36,910 But of course, that really wasn't the case. And. 430 00:46:38,260 --> 00:46:44,890 So, yes, I think there was a lot of time spent thinking about how best to manage all of these uncertainties. 431 00:46:45,430 --> 00:46:53,680 And I don't know whether we got it right, but somehow, certainly from a UK perspective, there's been huge confidence in the vaccine. 432 00:46:54,160 --> 00:47:00,610 And today when you know, when I look at the UK data, tens of thousands of lives have already been saved here already in November. 433 00:47:01,510 --> 00:47:05,440 We're into the millions globally of lives saved, which is just astonishing. 434 00:47:06,670 --> 00:47:12,420 We're in December now, actually. It's just an. 435 00:47:17,650 --> 00:47:23,470 Yeah. So were you involved at all in the discussions about the rollout or was that the people's responsibility? 436 00:47:24,260 --> 00:47:27,640 Um, so the yes and no. 437 00:47:27,650 --> 00:47:34,330 I mean, the rollout really was something that the Department of Health and the NHS were putting together. 438 00:47:34,730 --> 00:47:40,180 I did have some interactions with with scientists in government over this period, 439 00:47:40,180 --> 00:47:45,250 but the details of how the rollout was going to work was really not in our hands. 440 00:47:45,460 --> 00:47:54,190 I mean, the fact that we had a vaccine which could be used for average temperatures meant that it was much easier to roll it out, 441 00:47:54,370 --> 00:48:02,070 particularly at that time, because the RNA vaccines didn't have the the data to show how they could be more widely distributed. 442 00:48:02,080 --> 00:48:05,080 So that was really hubs that were dealing with those vaccines. 443 00:48:05,920 --> 00:48:12,729 So there was some of those discussions, but really the details of the rollout was the NHS doing that and looking at it globally. 444 00:48:12,730 --> 00:48:19,210 I mean, one of the things that I think people have been very proud of is that the university 445 00:48:19,870 --> 00:48:25,780 agreement with AstraZeneca was that it should be provided on a not for profit, 446 00:48:26,020 --> 00:48:30,490 not for profit basis to the two lower middle income countries. 447 00:48:30,790 --> 00:48:36,729 Was that something you had any part in? So we had discussions about that. 448 00:48:36,730 --> 00:48:45,340 And, you know, our views were sort of on that. And I think, yeah, I mean, all of the academics felt that was the right direction to go in. 449 00:48:45,920 --> 00:48:50,170 You know, the vice chancellor was very strident on it about not profiteering in a pandemic. 450 00:48:50,680 --> 00:48:54,129 And so I think it was it was the academic view. 451 00:48:54,130 --> 00:48:55,450 It was the university's view. 452 00:48:56,590 --> 00:49:03,790 And as I say, whenever there was discussion about it, but I don't think there was there needed to be much discussion, as everyone just agreed. 453 00:49:04,990 --> 00:49:10,900 And so what proportion of the vaccines that have gone to the developing world? 454 00:49:11,380 --> 00:49:18,730 Is it possible to say what proportion have been yesterday? Well, through COVAX, it's I believe today it's around 40%. 455 00:49:18,730 --> 00:49:23,680 But but a bit critically, the vaccines that save lives are the ones that got out early. 456 00:49:24,340 --> 00:49:31,690 And although supply was low for most of the first six months of this year, 457 00:49:31,690 --> 00:49:38,380 over 90% of the doses were from from our programme because the other developers were focusing on high income markets. 458 00:49:38,890 --> 00:49:47,920 And so I think it really this whole idea of not for profit means there's no commercial driver to to sell to, to a high income country. 459 00:49:48,250 --> 00:49:54,460 The driver is to distribute the doses and to do the right thing, not to do things for commercial benefit. 460 00:49:54,790 --> 00:49:58,209 And that to me was it was 24th of February. 461 00:49:58,210 --> 00:50:05,200 The first dose went through COVAX. That was an incredibly exciting moment to see those planes landing in Africa. 462 00:50:05,590 --> 00:50:13,540 So COVAX is so COVAX is a is a facility which has the funding to to purchase vaccines from the 463 00:50:13,540 --> 00:50:19,360 developers and then connections into governments globally to to distribute them when they're ordered. 464 00:50:19,530 --> 00:50:22,870 And who supports that? That's a collaboration. 465 00:50:22,870 --> 00:50:29,860 Presumably it's governments who put money into that to to international governments to fund it. 466 00:50:30,430 --> 00:50:37,990 And there's international organisations like GAVI, A.J., who and UNICEF, who are involved in all of those processes. 467 00:50:38,440 --> 00:50:43,210 But of course, there's already a vaccine distribution system globally, normally anyway for vaccines. 468 00:50:43,570 --> 00:50:51,430 And so it's tapped into the partners who work on both the the driving new vaccines into the into developing countries, 469 00:50:51,430 --> 00:50:55,210 as well as the routine vaccines we all enjoy. 470 00:50:55,440 --> 00:50:58,630 Mm hmm. And you talked a little bit about. 471 00:51:01,210 --> 00:51:08,340 Oh, yes. The question I had, which I haven't seen, he answered in a straightforward way in the sort of general scheme of things. 472 00:51:08,350 --> 00:51:14,710 Is it an expensive vaccine? I know how you put prices on these things is a bit of a mystery to most people. 473 00:51:14,950 --> 00:51:19,360 But well, because it's not for profit, I it's around about $3 a dose. 474 00:51:19,990 --> 00:51:22,410 I mean, that's that's not an expensive vaccine. 475 00:51:23,130 --> 00:51:34,330 And if you it depends where you look at the perspective from, you know, some vaccines cost hundreds of dollars and to to buy in high income markets. 476 00:51:35,740 --> 00:51:42,950 But usually for low income countries, there are systems in place to have a low price for that. 477 00:51:43,120 --> 00:51:47,290 It doesn't need to be kept in a -80 degree fridge. Help to keep the price then. 478 00:51:47,740 --> 00:51:51,280 Well, that isn't included in that price of the vaccine. 479 00:51:52,540 --> 00:52:03,360 I mean, a big part of the the price of vaccines is, is the delivery, which is both the the storage facilities and they have the staff injected. 480 00:52:04,050 --> 00:52:10,570 And but but the the not for profit relates to the costs of actually binding the materials and manufacturing it. 481 00:52:16,640 --> 00:52:26,270 So. So you told me that it was it wasn't exactly a new experience for you to have to deal with the media, but the level of it was much higher. 482 00:52:26,660 --> 00:52:32,690 Yeah, I do. I mean, I've I've done some media since since the mid-nineties, 483 00:52:32,690 --> 00:52:39,650 and I felt like my first televised interview was with Fergus Walsh from the BBC in about 1996 or seven, 484 00:52:40,400 --> 00:52:49,400 which a very odd experience because I was doing my Ph.D., I came into some Mary's hospital where the lab was I was working in, 485 00:52:50,060 --> 00:52:55,820 and the CEO of the hospital grabbed me and said, Could you do a press conference? 486 00:52:56,350 --> 00:52:57,050 What was on? 487 00:52:57,620 --> 00:53:04,579 And they my supervisor had been up all night working on the intensive care unit and had gone home and he was supposed to do a press conference. 488 00:53:04,580 --> 00:53:08,420 So they gave me the press release, which was about the genetics of meningitis. 489 00:53:08,900 --> 00:53:10,610 And of course it was in my department. 490 00:53:10,610 --> 00:53:16,819 So I knew roughly about I read the press release and then I went and did a press conference based on the press release, 491 00:53:16,820 --> 00:53:23,390 and it was about 20 minutes of journalists napping and asking questions. 492 00:53:23,720 --> 00:53:29,510 And then the last person to ask question was Fergus Walsh. And I answered his his question succinctly. 493 00:53:29,930 --> 00:53:35,930 The first one, I was just thinking succinctly, and that was the one that was broadcast across all of the news outlets that evening. 494 00:53:36,350 --> 00:53:40,459 And so I've been interviewed by him a number of times now, over over many years. 495 00:53:40,460 --> 00:53:41,810 But that was the first experience. 496 00:53:42,590 --> 00:53:48,710 So I'd say, well, you perhaps were displaced by the massive media scrutiny as some of your colleagues might have been. 497 00:53:51,050 --> 00:53:51,890 No, I mean, 498 00:53:51,890 --> 00:54:06,920 I've been surprised and sometimes shocked by the journalists and but also found many who genuinely do want to report the stories truthfully. 499 00:54:08,420 --> 00:54:14,240 So, yes, I know a lot more about the game that that playing than I did before. 500 00:54:14,780 --> 00:54:18,440 But I think you're right to say that it wasn't I wasn't totally fazed. 501 00:54:19,190 --> 00:54:27,260 But I'm also somewhat wary about the intentions of some journalists, particularly some of the experiences in the U.S. 502 00:54:27,380 --> 00:54:31,610 Yeah. Yeah. And then, of course, social media is another thing altogether, isn't it? 503 00:54:32,900 --> 00:54:38,479 Yes. I mean, social media is complex because a lot of social media is really an echo chamber. 504 00:54:38,480 --> 00:54:44,120 So if you've got a view about something, it's very easy to find that lots of other people agree with it. 505 00:54:44,840 --> 00:54:51,379 And the I mean, certainly social media for me has had some downsides because I get targeted 506 00:54:51,380 --> 00:54:55,310 by anti-vaccine people and I have some pretty horrible things said about me. 507 00:54:55,730 --> 00:55:01,370 I also get lots of emails from people accusing me of genocide and appalling things like that. 508 00:55:02,720 --> 00:55:10,220 But I think the most sinister bit from the social media side has been some evidence that we're aware of, 509 00:55:10,220 --> 00:55:16,070 of state actors trying to deliberately amplify negative messages about our vaccine and of course, 510 00:55:16,070 --> 00:55:20,990 other vaccines as well, which, of course, there's nothing we can do about it. 511 00:55:20,990 --> 00:55:31,280 And as a group of academics, but it is all part of the additional burden that there is on us to communicate, to tell how serious the problem is. 512 00:55:31,280 --> 00:55:34,940 Vaccine, misinformation, I think, is a terribly serious problem. 513 00:55:35,120 --> 00:55:40,770 And it's the misinformation that is through this. 514 00:55:41,300 --> 00:55:46,370 The more widely used social media platforms is clearly very problematic but should be regulated. 515 00:55:46,940 --> 00:55:53,440 The misinformation from websites in other countries that that no one can control, there's nothing you can do about. 516 00:55:53,450 --> 00:56:01,190 So the fake news about the person dying, that's a well known fake news website, but no one in the UK has any reach into that to, to stop it. 517 00:56:02,120 --> 00:56:13,960 And the clearly the, the state actors, this is, is a sort of political issue which is again not for us to, 518 00:56:14,300 --> 00:56:18,970 to deal with, but misinformation is a major, major problem. 519 00:56:18,980 --> 00:56:22,670 And it gets amplified by, by social media. 520 00:56:22,670 --> 00:56:34,130 One of the other problems that I've seen is communities who have their own interactions but may not interact much with the mainstream media. 521 00:56:34,610 --> 00:56:46,040 And so I had dealings with a community who work in the hospital, and one of their members said to me, you know, you involved in the vaccine? 522 00:56:46,040 --> 00:56:47,839 And I was talking to them about it. 523 00:56:47,840 --> 00:56:58,520 And he had a list of multiple concerns that he had and it was his community and were communicating with each other using WhatsApp groups and so on, 524 00:56:58,760 --> 00:57:04,910 and discussing the fact that vaccines were dangerous and they might affect their fertility and so on. 525 00:57:05,450 --> 00:57:16,130 And there was no reference that he could get to the to the safe information about it as we talk through all of those issues earlier this year. 526 00:57:16,800 --> 00:57:21,360 And there's sort of a couple of weeks later and he said, yes, 15 of us got vaccinated after I spoke to you. 527 00:57:21,780 --> 00:57:25,919 And it just made me think that the problem is we can't reach into many of the communities. 528 00:57:25,920 --> 00:57:30,660 We need to we need to get better at doing that because know that that's 15 people. 529 00:57:30,670 --> 00:57:39,480 But there will be tens of thousands just in our country and who who are in those communities that they don't have access to the credible information. 530 00:57:40,140 --> 00:57:44,260 So I'm hoping to interview some of the other people around Oxford who specifically look at this area. 531 00:57:44,310 --> 00:57:50,030 So, yeah, the it's very interesting to hear that you've at least managed to have a positive impact on. 532 00:57:50,400 --> 00:57:53,850 Well, I hope I've had some personal effects business. You can never be sure. 533 00:57:54,300 --> 00:58:01,740 Yeah. I think one of the other things you've actually written about that in a sense the opinion articles rather than interviews is vaccine equity. 534 00:58:01,740 --> 00:58:08,010 In terms of this question, do we go for boosters in this country or should we be getting doses overseas? 535 00:58:10,050 --> 00:58:18,690 I mean, do you think your relatively high level of experience with the need to make you more confident that making those statements? 536 00:58:20,820 --> 00:58:25,500 I felt I feel sort of a duty to to say these things, 537 00:58:25,500 --> 00:58:34,590 particularly in the face of a of a system which is not really geared up to be thinking outwardly and maybe we've got worse. 538 00:58:34,590 --> 00:58:43,290 And it's in the UK and it's absolutely clear when you look at the number of doses being produced in the first half of this year, 539 00:58:43,920 --> 00:58:48,240 that there were enough doses to prevent almost all of the deaths in the world that have happened since. 540 00:58:49,020 --> 00:58:56,759 And that is if we had focussed on older adults and people with health conditions everywhere as we did in the UK, 541 00:58:56,760 --> 00:59:00,780 if we, if we could have done that first, most of the deaths would have been prevented. 542 00:59:01,530 --> 00:59:07,439 The problem for domestic politicians is the most of the deaths because there would still have 543 00:59:07,440 --> 00:59:12,600 been deaths in young people and those who weren't in those initial programmes in the UK. 544 00:59:13,230 --> 00:59:18,750 And for our elected politicians we expect them to protect us. 545 00:59:19,140 --> 00:59:22,320 And so there is this dilemma between what's right to do. 546 00:59:22,350 --> 00:59:27,780 From a global equity point of view and the drive of domestic politicians. 547 00:59:28,290 --> 00:59:37,480 And I think the problem is that until domestic politicians feel confident that that the things are okay for them, 548 00:59:37,750 --> 00:59:45,690 that they've done all that they could have done, it's very difficult for them to take those global decisions to protect the rest of the world. 549 00:59:46,650 --> 00:59:56,310 And I do think the news I was speaking just over a week after the new Micron variant was named, 550 00:59:56,820 --> 01:00:00,240 do you think is going to make things worse because of the scale of the booster programme? 551 01:00:01,770 --> 01:00:02,540 Yes and no. 552 01:00:02,550 --> 01:00:12,660 I mean, I think that there's no doubt that boosters are going to be scaled up everywhere that can afford them and that will reduce the global supply. 553 01:00:12,930 --> 01:00:21,570 However, we are at a moment where there is quite a lot of global supply and doses that could be widely distributed. 554 01:00:21,840 --> 01:00:25,200 So I think it's an uncertain moment in time. 555 01:00:26,190 --> 01:00:35,070 The the lifting of the blockade in India of distributing vaccines from India, which has the biggest centres for producing, including our vaccine, 556 01:00:36,210 --> 01:00:44,010 really means that there is a moment where if countries have the capacity to receive and distribute the doses, 557 01:00:44,010 --> 01:00:52,020 that things could change very rapidly over the next few months. But the only way that can happen is if the systems now start working for distribution. 558 01:00:52,920 --> 01:00:59,520 But as far as boosters are concerned, they are a risk, but they're not as much of a risk as they were a few months ago, 559 01:00:59,670 --> 01:01:11,600 simply because there's a lot more supply in the world that might. But they say the devil's in the detail of what happens next. 560 01:01:11,630 --> 01:01:19,970 Yes. Yes. Which we don't know. Yes. Well, yes. You know, now we are in another very uncertain and sad moment, 561 01:01:20,930 --> 01:01:26,460 uncertain about how countries will react, but not so uncertain about what we're seeing happening. 562 01:01:26,530 --> 01:01:34,130 I mean, as you would still expect with all the remains to be proven, but you still expect the vaccine to prevent severe disease caused by it. 563 01:01:34,760 --> 01:01:38,840 And probably from the data we're seeing in South Africa, it will spread readily. 564 01:01:40,930 --> 01:01:49,659 But of course the centre of the population is a bit different from ours. They've had almost no vaccination and waves of following. 565 01:01:49,660 --> 01:01:56,140 We've had of beta that delta. We're in a highly vaccinated population that has had alpha and delta. 566 01:01:56,680 --> 01:01:59,860 So how does that play into it? We just don't know. 567 01:02:01,180 --> 01:02:05,080 So the world is conducting a massive experiment all the time. Know. 568 01:02:05,890 --> 01:02:11,800 But. But the knee jerk reactions are likely to be to be small because it probably that is a good idea. 569 01:02:12,670 --> 01:02:16,000 But we have to that's ahead of the evidence to say that that's necessary. 570 01:02:17,700 --> 01:02:22,640 So that the last few questions are more about your personal question. 571 01:02:22,650 --> 01:02:31,620 Is that your personal response to things that went long but that how did the first lockdown impact on what you were able to do? 572 01:02:32,790 --> 01:02:38,760 Did it change the way you work and where, in fact, any of those changes positive after the first lockdown? 573 01:02:39,180 --> 01:02:45,520 And I mean, it didn't really change the the way that you conduct trials and to you know, 574 01:02:45,810 --> 01:02:48,630 now we were all in work everyday doing the same jobs that we always do. 575 01:02:48,660 --> 01:02:55,559 So it's it was a it's a strange thing that people, you know, giving accolades to us for having done something extraordinary. 576 01:02:55,560 --> 01:02:58,710 We've actually done something pretty ordinary at an extraordinary moment. 577 01:02:59,370 --> 01:03:08,220 And so from that perspective, you must have had provision for how you were able to work together and if you were coming into the into the building. 578 01:03:08,700 --> 01:03:12,820 Yes. So so we had to put in place social distancing and so on to trial. 579 01:03:13,030 --> 01:03:18,149 And we didn't have any outbreaks in the team over the last two years. And because of the attention to detail, 580 01:03:18,150 --> 01:03:24,540 I asked one of the team to be responsible for infection control and to make sure we were keeping up with the latest guidance. 581 01:03:24,540 --> 01:03:30,780 We actually had clinical social distancing and mask wearing and protocols before the NHS did. 582 01:03:31,290 --> 01:03:38,310 Were you able to get as much PPE is you needed? So we we had a problem with PPE. 583 01:03:39,360 --> 01:03:46,590 Interestingly, we managed to get a large donation from China very early on, which helped. 584 01:03:47,130 --> 01:03:55,709 But we had we did have some crunch points. And there was one day where Sara Gilbert and I were on a call with Matt Hancock and asked 585 01:03:55,710 --> 01:04:00,480 him if he could provide help us get PPE because we needed to run a clinic that week. 586 01:04:00,960 --> 01:04:07,080 And he picked up the phone to talk to the head of the Trust Hospital here at Oxford. 587 01:04:07,080 --> 01:04:11,940 And we had PPE delivered the next morning from them to support the vaccine effort. 588 01:04:14,870 --> 01:04:18,440 Well, the power. 589 01:04:21,810 --> 01:04:26,730 And to what extent did did I mean, did you ever feel personally threatened by the infection itself? 590 01:04:27,060 --> 01:04:32,120 By the infection? By the infection? I have looked at the data. 591 01:04:32,130 --> 01:04:38,310 I'm fit. I'm just over the age of people worried about being in my mid-fifties. 592 01:04:39,540 --> 01:04:47,400 And so my overall personal risk is relatively low and being being a healthy individual. 593 01:04:48,450 --> 01:04:53,880 So I didn't personally feel very threatened. But I think I was take life as it comes. 594 01:04:53,890 --> 01:04:56,100 So if I got sick, I would have to deal with that. 595 01:04:56,100 --> 01:05:04,440 But, you know, we were all taking great care and precautions to to make sure we were protected from the virus. 596 01:05:04,440 --> 01:05:09,080 But, you know, we just have to deal with whatever it is anybody tries to infect it all. 597 01:05:10,110 --> 01:05:17,790 Well, there are there are people in the team who've been infected, you know, home from their kids or from their families. 598 01:05:17,790 --> 01:05:24,420 So there's lots of people around that I know who have been infected, but we haven't had any of that spread within the team here. 599 01:05:24,540 --> 01:05:34,800 Right. Mm hmm. And yet when I got a question about working out, as you said, you just kept on coming to work as normal, but it doesn't. 600 01:05:35,010 --> 01:05:38,640 You did that. But you also mentioned that you were completely exhausted by the type of results. 601 01:05:38,700 --> 01:05:46,649 Yeah. I mean, I think the thing that's different was I was I've always worked a lot, but it really didn't. 602 01:05:46,650 --> 01:05:50,580 I made it very hard in the evenings to even get away from here, to go home. 603 01:05:51,140 --> 01:05:57,150 And particularly with the international nature of the work. 604 01:05:57,690 --> 01:06:05,880 There's definitely some time zone issues which meant that a lot of the communication was happening in during other hours of the day. 605 01:06:06,960 --> 01:06:08,520 So it was it was much longer hours. 606 01:06:08,520 --> 01:06:17,960 And I think everyone I say that all the senior people in the team worked seven days a week and many of the more junior people as well, um, 607 01:06:18,600 --> 01:06:24,600 over the course of the two years and it that really hasn't stopped today that I was in a meeting 608 01:06:24,600 --> 01:06:28,050 for an hour this morning and I had 100 emails that came in whilst I was in the meeting. 609 01:06:28,530 --> 01:06:34,620 I just, it just shows the amount of activity that still lives and you seem remarkably well on it. 610 01:06:35,620 --> 01:06:40,500 What is there that you're able to do to keep your your general state of wellbeing? 611 01:06:40,920 --> 01:06:48,080 I think I think a lot of it is is where you where you sit mentally and it all it's, 612 01:06:48,090 --> 01:06:55,350 um, I, I think to a large extent most of what I do I'm in control of. 613 01:06:55,800 --> 01:07:03,000 And so I think if you from a resilience point of view where you feel in control, then it's quite easy. 614 01:07:03,000 --> 01:07:10,410 The problem for most of us is when we're not in control. And so I think the stressful points were when external things were happening, 615 01:07:11,400 --> 01:07:17,879 the the unpleasant things being said about the vaccine or about us, I think those things are much more stressful and troubling. 616 01:07:17,880 --> 01:07:19,200 But the things you can control, 617 01:07:19,200 --> 01:07:27,870 which and I tried to run high quality studies and to look after the team and that's I think that's fairly straightforward. 618 01:07:28,140 --> 01:07:34,470 But you mentioned running earlier and I noticed from something I've read that when I was being a mountain climber. 619 01:07:34,620 --> 01:07:38,820 Yes. Well, I mean, I cycle every day to work and I run on the weekend. 620 01:07:38,830 --> 01:07:42,960 So that but that's about the only stuff that I do, I suppose. 621 01:07:43,060 --> 01:07:48,630 I've watched a number of late night Netflix series, 622 01:07:49,350 --> 01:07:57,089 usually between about 11 to midnight to try and get my head out of the the thinking about vaccines to help sleep. 623 01:07:57,090 --> 01:08:00,240 But apart from that, there's not really been space for anything. 624 01:08:00,630 --> 01:08:12,300 And and as far as the team as a whole is concerned, have you felt the need to institute any kind of support provision for the wellbeing of people? 625 01:08:12,780 --> 01:08:22,100 Well, I think there's several aspects that one is trying to make sure we recognise the team and we've had a number of opportunities to do that. 626 01:08:22,110 --> 01:08:26,519 And over the course, particularly of this last year, good communication. 627 01:08:26,520 --> 01:08:34,920 So particularly during the most troubling moments to communicate with the whole team about what's going on and to to thank them and congratulate them. 628 01:08:35,760 --> 01:08:42,180 We've also been able to help here with in my team in the Department of Paediatrics 629 01:08:43,080 --> 01:08:49,649 with rewarding them for the work that they've done and by giving some extra time off, 630 01:08:49,650 --> 01:08:53,040 things like that which to try and to support people, recognise them. 631 01:08:53,520 --> 01:09:01,890 And we've, we've also done the best we could to make sure people get holidays and get breaks that I that's not true for all of us, 632 01:09:02,640 --> 01:09:09,030 but it's been quite an important part of it. Of course the difficulty with that is that for everyone holidays have been very, very difficult. 633 01:09:09,030 --> 01:09:14,459 So it's very hard to give people a proper break. And in the middle of a pandemic, I can't fix that. 634 01:09:14,460 --> 01:09:17,490 But we've sent people away from wherever we could. 635 01:09:18,960 --> 01:09:25,560 And yet in terms of talking rewarding people, you were knighted in the in the Queen's Birthday honours. 636 01:09:25,980 --> 01:09:29,410 Yeah, I was. Was that a surprise or did you know it was coming? 637 01:09:30,150 --> 01:09:39,090 Well, you always know it's coming because they you get a letter from the asking whether you accept it. 638 01:09:39,330 --> 01:09:50,520 And but but in a way, the way that that is written, you don't have absolute certainty until the the the award appears in the London Gazette, 639 01:09:50,910 --> 01:09:56,280 because the letter says, you know, if you accept the nomination, we'll ask the queen if she agrees. 640 01:09:57,090 --> 01:10:01,499 And so until it appears that there's no communication at all about it. 641 01:10:01,500 --> 01:10:06,420 But but I will say I'm delighted, but actually delighted for the team because it really, 642 01:10:06,970 --> 01:10:10,530 you know, I'm just one of the cogs in this enormous operation. 643 01:10:10,890 --> 01:10:14,100 And if you take any of the cooks out of the whole thing falls apart. 644 01:10:14,520 --> 01:10:18,030 And so there are many other people who are just as deserving as me. 645 01:10:18,030 --> 01:10:23,340 But so I sort of see this as something that I receive on behalf of a of a larger group. 646 01:10:24,390 --> 01:10:30,360 Just two more questions. How has this work raised new questions that you're interested in exploring in the future? 647 01:10:31,680 --> 01:10:37,470 Well, I think it raises a lot of questions. And coming back to where we started about understanding the immune response, 648 01:10:37,920 --> 01:10:43,530 there's so much that we've started to scratch the surface of with COVID vaccines, 649 01:10:43,530 --> 01:10:47,610 about dose intervals, about whether high doses or low doses are better. 650 01:10:47,970 --> 01:10:55,110 And the studies now being started, which we're involved in, in different countries, looking at could you boost with much lower doses? 651 01:10:55,650 --> 01:10:58,870 So all of all of these questions need addressing. 652 01:10:58,890 --> 01:11:03,540 To me, it also raises the profile of being better prepared for pandemics. 653 01:11:03,540 --> 01:11:13,230 What what do we need to do? So that when it's a virus that we've never heard of before, that we can react as rapidly as we did with Kobe. 654 01:11:13,560 --> 01:11:17,070 Kobe, it was easy. It's a virus that we knew a lot about. 655 01:11:17,280 --> 01:11:20,580 We knew that you had to use spike protein to make the vaccines. 656 01:11:20,970 --> 01:11:30,960 We knew which platforms were likely to work, like the RNAs and the viral vectors, and we were fortunate that it only had a 1% mortality. 657 01:11:31,380 --> 01:11:36,150 What would we do if it was a virus we'd never heard of before from an animal species? 658 01:11:36,990 --> 01:11:42,690 We didn't know which part of it to make the vaccine from, and it killed 50% of the people it infected. 659 01:11:43,110 --> 01:11:47,429 We need to be much more on the ball for that scenario than we are. 660 01:11:47,430 --> 01:11:51,090 And I think to me, that's a critical part of the next steps. 661 01:11:51,300 --> 01:11:57,900 Mm hmm. So has the experience of COVID changed your attitude to your approach to your work? 662 01:11:57,900 --> 01:12:01,110 And how would you like things to change in the future? You've covered that. 663 01:12:01,770 --> 01:12:06,310 I haven't had any time to reflect on on whether my attitudes have changed at all. 664 01:12:06,330 --> 01:12:11,970 I mean, at the moment, we've just got too much to do in the in the day job to think much about the future. 665 01:12:13,380 --> 01:12:24,270 I think it's I've always known the importance of what we do and seeing the impact, the work, what we have on people's lives and particularly children. 666 01:12:24,270 --> 01:12:34,230 Because that's my main focus as a paediatrician. And every day the work that we've done here is saving lives and even before COVID. 667 01:12:34,650 --> 01:12:38,969 So in many ways, that's, that's what I want us to continue to do, is to have an impact. 668 01:12:38,970 --> 01:12:43,680 And that's the great thing about vaccines. They work. Thank you very much.