1 00:00:01,020 --> 00:00:04,050 So could you just start by saying your name and your current position? 2 00:00:04,170 --> 00:00:09,630 Yeah. So I'm Samantha, the slot. I'm a university research lecturer at the Oxford Vaccine Group. 3 00:00:10,350 --> 00:00:19,040 I do research on attitudes to vaccines, policies, comparisons across countries and media representation of vaccination find. 4 00:00:19,620 --> 00:00:23,519 So just without telling me where time, life, history, books, we don't really have time for that. 5 00:00:23,520 --> 00:00:29,129 But if you could, could, in just a few sentences go from how you first got interested in the subject you were 6 00:00:29,130 --> 00:00:35,240 interested in the subjects you have been interested in from from then until where you are now? 7 00:00:35,820 --> 00:00:42,240 Yeah, I suppose so. My PhD was about neglected tropical diseases and that policy developed through. 8 00:00:42,240 --> 00:00:45,690 Let's go back and think, oh, that. Oh, sure, I got you to say yes. 9 00:00:46,670 --> 00:00:50,550 Sorry. Your microphone is inside. Sorry. 10 00:00:55,860 --> 00:01:03,780 Yes. I twisted it again. Sorry. That's because that's better service in the wrong way round. 11 00:01:05,460 --> 00:01:13,680 Oh, yeah. So before that, I did my undergraduate degree in economics and international development, 12 00:01:14,190 --> 00:01:21,480 and I found I was a bit more interested in politics and governance. 13 00:01:21,900 --> 00:01:25,530 Ended up doing a master's in that kind of subject institutionally. 14 00:01:26,040 --> 00:01:32,940 So that's when I came to Oxford to do a master's and realised I liked it a lot and probably would like to return at some point. 15 00:01:33,960 --> 00:01:43,110 Then I worked for the Civil Service for about three years and then during my time at the Civil Service I realised the problem. 16 00:01:43,920 --> 00:01:47,070 So I was in the Department of Business, Innovation and Skills at the time. 17 00:01:47,970 --> 00:01:52,860 It's since changed its name in the time and it's just, just annoyed me. 18 00:01:53,370 --> 00:02:00,130 And then you have to explain what this was. And anyway, at that point in time I was working on innovation, 19 00:02:00,210 --> 00:02:10,320 entrepreneurship policy and I realised I was more interested in the research side of things rather than yeah, 20 00:02:10,700 --> 00:02:17,040 actually policy and having a career in the civil service. 21 00:02:17,940 --> 00:02:21,750 And I thought, how can I do this for more of my time? 22 00:02:21,780 --> 00:02:26,070 And that's when I decided to do a Ph.D. and go down the academic route. 23 00:02:26,550 --> 00:02:33,360 So I did a Ph.D. in a science and technology studies department in UCL. 24 00:02:34,050 --> 00:02:44,430 And so my field there was really sociology of science, and I chose, as my research topic, neglected tropical diseases. 25 00:02:44,430 --> 00:02:54,090 And I thought this was a really interesting category from a sociological point of view in terms of how did this group come about? 26 00:02:54,100 --> 00:02:59,630 How was it named as a neglected group and selected by who? 27 00:02:59,640 --> 00:03:02,760 Yeah, invented by whom? Who has been neglected? Why? 28 00:03:02,760 --> 00:03:07,260 Why is it deemed as neglected? What diseases make up that group and why? 29 00:03:07,620 --> 00:03:20,280 So this the background and the events that led to the this group of diseases being neglected was was interesting to me. 30 00:03:21,320 --> 00:03:30,900 And after that, I, I saw the position in Oxford for social sciences research working on vaccine attitudes and policy. 31 00:03:31,290 --> 00:03:42,749 And I thought, well, I know, I know vaccines are a contentious topic and won't it be interesting to work on a topic that gets 32 00:03:42,750 --> 00:03:48,600 a lot of attention rather than this other topic which was labelled as not not getting attention? 33 00:03:48,600 --> 00:03:59,190 And that has been a really interesting contrast as a social scientist to see what happens in in public health and global health, 34 00:03:59,190 --> 00:04:04,260 to lead to certain topics being of interest or not. 35 00:04:04,680 --> 00:04:10,110 So yeah, that's really how I ended up in my my current role. 36 00:04:10,410 --> 00:04:15,210 Were you surprised to see an advertisement for a social scientist working in a clinical department? 37 00:04:15,930 --> 00:04:23,759 I think at that time I was also aware of embedded research roles and a lot of the 38 00:04:23,760 --> 00:04:31,139 time that would have been something suggested by the researcher to go into a lab, 39 00:04:31,140 --> 00:04:36,930 will go into a research group. And that's something that I've paid a lot of attention to at the time. 40 00:04:37,380 --> 00:04:47,490 And so, yeah, to have that role proposed from the clinical group or the research group was more, more unusual. 41 00:04:47,490 --> 00:04:50,160 So that did kind of spark my interest. 42 00:04:50,160 --> 00:04:58,680 And it was actually I think my supervisor had seen this post and thought looked, looked good and thought I might be seated for it. 43 00:04:59,010 --> 00:05:07,020 So it was passed on to me and I applied and got it and managed to stay open since then. 44 00:05:07,530 --> 00:05:08,860 So what you sense that you came? 45 00:05:08,880 --> 00:05:18,270 Oh, so that was back in 2016 and I hadn't finished the study, so I was writing up and I did that during the first year. 46 00:05:18,270 --> 00:05:29,290 And then the postdoc. And so what topics were you addressing in your role as personal care when you first got here? 47 00:05:29,590 --> 00:05:38,530 So I was given quite a lot of freedom to pick what I wanted to work on, so it had to be something about vaccines and society. 48 00:05:39,220 --> 00:05:45,340 I actually originally joined a program that was funding me, the Oxford Martin School, 49 00:05:45,700 --> 00:05:49,540 and that was called Collective Responsibility for Infectious Disease. 50 00:05:49,580 --> 00:05:59,649 Oh, right. Yes, yeah. Yes. So that was quite nice because I knew I was coming into a group of academics from different disciplines. 51 00:05:59,650 --> 00:06:04,000 So that mean that's where the funding came. That's that's where the funding came from for the post. 52 00:06:04,960 --> 00:06:11,440 And Andy Pollard was one of the senior fellows in this in this project. 53 00:06:11,440 --> 00:06:17,740 And then there were peers from psychology, philosophy and maths, biology. 54 00:06:19,000 --> 00:06:21,160 So it was quite an history thing. 55 00:06:21,490 --> 00:06:31,360 It was quite a nice mix of different disciplines that I was kind of I'd had more interaction with historians in the Ph.D. department, 56 00:06:31,390 --> 00:06:34,430 those in but the other the other disciplines not. 57 00:06:34,450 --> 00:06:38,380 So I thought, wow, this is going to be a nice mix of different people. 58 00:06:40,390 --> 00:06:44,770 And I like the fact that I would almost be like an embedded researcher. 59 00:06:44,770 --> 00:06:48,940 I think I had to stop myself in my first day from just kind of writing notes 60 00:06:48,940 --> 00:06:53,710 about people that I'd been introduced to here as if as if they were my subjects. 61 00:06:55,090 --> 00:07:04,840 And I think it's been a really good opportunity to build my own research interests, but it's also had some challenges. 62 00:07:04,840 --> 00:07:12,610 So I haven't had that normal group or team that you go into where you're doing similar work. 63 00:07:13,630 --> 00:07:15,970 I'm very much the outsider here, 64 00:07:15,970 --> 00:07:28,660 but hopefully I've managed to work my way in and show my use within the group and I've now worked quite closely with people at Ovg as well. 65 00:07:28,660 --> 00:07:36,490 So yeah, I think physically in the Centre for Clinical Vaccinology and Tropical Medicine, that's, that's where you are, as you say. 66 00:07:36,820 --> 00:07:41,500 Exactly. I mean, during COVID, someone like me has been working from home. 67 00:07:42,610 --> 00:07:45,250 Anyone who has a really need to be. Yeah. 68 00:07:45,760 --> 00:07:55,430 Hasn't had to be in the lab or so say the research nurses have to be and the project managers have to be physically 69 00:07:55,430 --> 00:08:03,489 in quite a lot to have access to the files and and for meetings where they will have to do that face to face. 70 00:08:03,490 --> 00:08:06,880 So I have been away for a while now. 71 00:08:08,740 --> 00:08:15,940 But yeah, that kind of physical presence has been useful to get to know people. 72 00:08:16,780 --> 00:08:22,480 People know who you are, and I think it's made it easier to work together. 73 00:08:23,050 --> 00:08:28,630 But probably COVID did prompt more collaboration with people at ABC. 74 00:08:29,740 --> 00:08:33,700 So what? Let's just talk a little bit more about the programme on collective responsibility. 75 00:08:33,700 --> 00:08:37,299 Yes, because that's a I mean it's an interesting concept too. 76 00:08:37,300 --> 00:08:44,080 It's rather visionary. I think for those for people to decide that was something that was worth a particular focus. 77 00:08:45,250 --> 00:08:52,209 So so what in the simplest possible terms, what, what are the issues around collective responsibility in health? 78 00:08:52,210 --> 00:09:02,920 Sorry, I know that's an enormous I have to revisit that again because from the different disciplinary perspectives, 79 00:09:02,920 --> 00:09:08,050 I think that there were quite different ideas being brought in. 80 00:09:09,310 --> 00:09:18,970 I was quite interested to see how individual responsibility sometimes clashed with collective responsibility, 81 00:09:19,300 --> 00:09:28,420 how that interacted and also what what were the concepts that were related to the idea of being responsible for the collective? 82 00:09:28,720 --> 00:09:36,820 And something like Herd Immunity was a good example and looking at how different countries have 83 00:09:36,820 --> 00:09:45,700 dealt with the problem of having to care for others and how to propose that to your population. 84 00:09:45,710 --> 00:09:57,550 So the main the main output actually from that work had been a collaboration with the historian colleague who I've been working with quite closely, 85 00:09:57,550 --> 00:10:03,850 Klaus Cassio, and we've been working on a history of typhoid, 86 00:10:04,450 --> 00:10:13,629 and that has been a really great collaborative project from looking at the history of the disease, 87 00:10:13,630 --> 00:10:21,100 but seeing how that history can be made relevant for today as part of an engagement project and. 88 00:10:21,730 --> 00:10:25,060 Also part of the exhibition. Alison Typhoid Land. 89 00:10:25,990 --> 00:10:32,110 So yeah, it just seemed like a very long time ago that it was on that programme. 90 00:10:32,110 --> 00:10:42,040 And the legacy has been this work on, on typhoid which also we saw is a neglected disease in that it was, 91 00:10:42,550 --> 00:10:49,300 it was a disease that has been dealt with in richer countries and forgotten about in poorer countries. 92 00:10:50,230 --> 00:10:57,850 But now with drug resistance is becoming more of an issue in in wealthier countries as well. 93 00:10:59,080 --> 00:11:02,350 And it's another thing easily so. 94 00:11:05,150 --> 00:11:11,180 And yes, so that was one project you were working on before that became available. 95 00:11:11,200 --> 00:11:16,660 Yeah, but you also started looking at vaccination and vaccine hesitancy at that time. 96 00:11:16,720 --> 00:11:27,430 Yes. I mean, yeah, I actually decided to concentrate on people who were very pro-vaccine and try to understand what that 97 00:11:27,430 --> 00:11:38,829 meant and how groups were organising in civil society to promote vaccination and influence policy, 98 00:11:38,830 --> 00:11:44,470 influence the media to these people who were engaged in react about this. 99 00:11:44,620 --> 00:11:51,580 Yeah. So I concentrated on to two groups, one in Australia and one in the US. 100 00:11:52,630 --> 00:12:03,370 And the US group was trying to counter an anti-vaccine group and they were doing that quite literally by almost 101 00:12:03,370 --> 00:12:13,899 having an aggressive policy and they they would react on social media to posts that that group were making. 102 00:12:13,900 --> 00:12:19,510 And if they were going to be speaking at events, they would call up the event space and say, 103 00:12:19,510 --> 00:12:30,489 do you know who the who says if they if they had sponsorship, they would contact the sponsors and say, yeah, do you know who you're sponsoring? 104 00:12:30,490 --> 00:12:38,020 And we don't think this is a good idea. So with a kind of general public interest group or did they have some kind of institutional base? 105 00:12:38,470 --> 00:12:48,490 I would say more of a general public interest group, which had mainly arisen from a sceptics group, 106 00:12:48,490 --> 00:12:59,049 which is confusing the name, but it meant that they were very science focussed and almost pro science collective before. 107 00:12:59,050 --> 00:13:10,540 So that group would be made up of quite a few scientists themselves, but also political activists and uh, 108 00:13:12,040 --> 00:13:20,199 other people who have, have wanted to have a vocal stance in the public arena. 109 00:13:20,200 --> 00:13:27,840 So, but I suppose what unified them all was that they were very pro-science and. 110 00:13:29,200 --> 00:13:34,730 So I suppose that brings up the question of what messaging is effective when you're trying to do that. 111 00:13:34,750 --> 00:13:39,370 And it sounds to me from what you're saying, that they didn't take the most effective approach. 112 00:13:39,730 --> 00:13:51,879 If they were, it sounds as though they were essentially ignoring the concerns of the the anti-vaccine groups and just saying, no, we have the science. 113 00:13:51,880 --> 00:13:56,830 We're right. Yes. And I think that's where they have been criticised. 114 00:13:57,730 --> 00:14:08,890 But you can see that they they were effective in their aims in quieting the quieting down the the anti-vaccine lobby. 115 00:14:09,220 --> 00:14:16,690 And so whether that creates problems in the future is another question and whether 116 00:14:16,780 --> 00:14:21,879 there will still be ongoing issues that they're not addressing that that might be true, 117 00:14:21,880 --> 00:14:25,420 but in terms of directly countering, they were very effective. 118 00:14:26,410 --> 00:14:29,920 And what about the Australian case? Oh, so this was in Australia. 119 00:14:31,120 --> 00:14:33,150 So I can't imagine what it was like. 120 00:14:33,490 --> 00:14:44,950 Yeah, America was a bit different because this group were for mothers who were concerned about the rise in measles cases in California, 121 00:14:45,670 --> 00:14:54,970 and they had responded to a call by a US senator to basically try and find a parent or alliance for 122 00:14:55,750 --> 00:15:01,930 changing policies on vaccination and getting rid of the personal belief exemption in California. 123 00:15:02,590 --> 00:15:13,800 So that was a mixture of a data scientist, a lawyer and also a scientist medical person. 124 00:15:13,810 --> 00:15:23,770 So they were almost and they were all mum. So some of the some of them had also given up their work to be full time, full time parents. 125 00:15:24,730 --> 00:15:30,040 So their method was really just to show there are there is public support for vaccination 126 00:15:30,040 --> 00:15:36,400 and there is public support for this particular Senate bill that was being put through. 127 00:15:36,820 --> 00:15:47,680 So that, yeah, their way of promoting vaccination was quite different to this activist countering more aggressive action taken in Australia. 128 00:15:48,660 --> 00:15:58,220 And so I think that just and this was another big piece of what you were doing before COVID started that I hadn't come across that you'd think. 129 00:15:58,240 --> 00:16:01,270 But I think that would be the main one that yeah. 130 00:16:01,280 --> 00:16:10,839 Okay. So arriving finally at a COVID, can you remember where you were when you first heard about it? 131 00:16:10,840 --> 00:16:14,980 I mean, clearly in this environment, it would have been on the radar pretty quickly. 132 00:16:15,760 --> 00:16:19,780 Yeah, you'd think so. 133 00:16:19,780 --> 00:16:26,080 I must have heard about it quite early in dissent at the end of December. 134 00:16:26,590 --> 00:16:42,159 And I remember having a dinner with an epidemiologist friend of mine in Oxford, and I'd heard the reports of a novel coronavirus. 135 00:16:42,160 --> 00:16:45,069 I think already by then it was being called a novel coronavirus. 136 00:16:45,070 --> 00:16:54,820 And in December and I, I must have referred to it as this this flu, this this flu that's around the epidemiologist, ologist friend. 137 00:16:54,820 --> 00:16:58,540 And he got a bit annoyed with me. Oh, no, it's not. It's not. It's not a flu, is it? 138 00:16:59,950 --> 00:17:07,269 And I remember him being a little bit I wouldn't say he was worried, actually. 139 00:17:07,270 --> 00:17:10,930 He said, okay, this is like kind of my topic. I'm going to start working on it. 140 00:17:12,230 --> 00:17:14,710 And then I was wondering how this was going to develop. 141 00:17:15,340 --> 00:17:22,809 And after that, I remember in January a couple of people being more worried about it than me as well. 142 00:17:22,810 --> 00:17:34,870 So this historian colleague that I mentioned, he was probably the one who was most alert to this being a potential issue across class. 143 00:17:34,870 --> 00:17:38,169 Yeah. So yeah, and that was very interesting. I thought, wow, 144 00:17:38,170 --> 00:17:46,299 with then with history comes knowledge of past outbreaks and and we were meant 145 00:17:46,300 --> 00:17:54,070 to go I forget when it was in February to Bangladesh and he was asking me, 146 00:17:54,070 --> 00:17:58,420 are we still going? And what do the infectious disease people say? 147 00:17:58,420 --> 00:18:01,719 What do people I would say? And I said, Yeah, everyone's still planning to go. 148 00:18:01,720 --> 00:18:06,640 It's still yeah, as far as I know it's going to be as normal. 149 00:18:07,360 --> 00:18:09,219 I just remember at that time in February, 150 00:18:09,220 --> 00:18:18,370 more people were wearing masks that starting to wear masks at the airport I was in and I hadn't really started doing anything like that by then. 151 00:18:18,820 --> 00:18:24,760 And Bangladesh seemed to be reacting quite quickly, especially compared to the UK actually. 152 00:18:24,760 --> 00:18:28,060 So in our hotel they were already putting out. 153 00:18:28,170 --> 00:18:33,720 Measures mainly to do with handwashing and hand sanitisers. 154 00:18:33,780 --> 00:18:36,120 I think that was what we were all used to at the time, 155 00:18:37,440 --> 00:18:48,510 and I remember us talking about it then and also talking a bit in the office about the vaccine that was being thought about already. 156 00:18:48,540 --> 00:18:53,369 And I think it was around January time I was in the office and I was speaking to someone and they said, 157 00:18:53,370 --> 00:18:57,330 Oh, they just they had Sarah on the radio talking about a vaccine. 158 00:18:58,050 --> 00:19:05,280 But it all seemed like a problem for someone else to say that that was where we were and just going across. 159 00:19:05,280 --> 00:19:09,959 And I had started a had just launched an exhibition at the end of January, 160 00:19:09,960 --> 00:19:17,400 and I don't think we really thought anything would would go wrong, that we would be affected directly. 161 00:19:17,400 --> 00:19:29,219 We like to say the exhibition would be affected. And then it just became apparent at the end of February and start of March that 162 00:19:29,220 --> 00:19:36,270 obviously the cases were going up exponentially and this was going to be a major issue. 163 00:19:36,690 --> 00:19:49,230 And the reports from Italy seeing the quarantines begin in Italy and I have uh, my sister's partner is from Bergamo and yeah, 164 00:19:49,290 --> 00:20:00,480 we realised there's a major issue here but didn't really know how Oxford Vaccine Group was going to be so closely involved. 165 00:20:00,820 --> 00:20:09,870 And yeah, how, how would we play a part in, in the pandemic at that stage. 166 00:20:10,890 --> 00:20:15,690 So how did you come to decide that you would put. 167 00:20:16,650 --> 00:20:21,660 Well, obviously, the rest of the group were doing their thing and eventually running clinical trials. 168 00:20:21,660 --> 00:20:26,460 Yeah, but there were a lot of questions that were relevant to your area of expertise. 169 00:20:26,470 --> 00:20:32,549 When did you start thinking about doing research and did you need to have more funding? 170 00:20:32,550 --> 00:20:35,670 Did you have to give up what you were doing? Well, I had to do it. 171 00:20:36,720 --> 00:20:44,250 I think I still felt like I wanted to be involved somehow, but didn't know how. 172 00:20:44,250 --> 00:20:51,989 And I think there were quite a few people in the group who might have felt like that, even if, say, 173 00:20:51,990 --> 00:21:01,080 they were in the overseas team or another team, which wouldn't directly normally be part of the trial over here. 174 00:21:01,080 --> 00:21:08,160 And then they had to kind of volunteer and say, I'd like to help, I'd like to do something I didn't do. 175 00:21:08,310 --> 00:21:15,700 I remember much during a march or April time directly on COVID, I think. 176 00:21:15,700 --> 00:21:29,100 Right. And I had some some press interested in asking about past epidemics and also about misinformation, which I'd done a bit of work on. 177 00:21:29,400 --> 00:21:36,780 So I remember writing a couple of things at that time, but it was really I paid a lot of attention to our team meetings. 178 00:21:36,780 --> 00:21:37,230 I mean, 179 00:21:37,410 --> 00:21:48,510 we were all quite keen to know what was going to happen with this vaccine in the group and that it did look like it was going to be tested by then, 180 00:21:48,510 --> 00:21:55,500 and that that was going to be a close collaboration with the Jenner Institute to form the Oxford Vaccine Centre. 181 00:21:56,340 --> 00:22:06,240 So I was still maybe more on the sidelines and thinking, okay, there might be a vaccine coming out here. 182 00:22:07,050 --> 00:22:13,590 I want to keep abreast of what's happening and at some point it's going to be really 183 00:22:13,590 --> 00:22:20,760 important to know what people's views are and how the policy arrangements develop. 184 00:22:21,150 --> 00:22:26,580 And I think with a lack of information and the uncertainty, 185 00:22:26,790 --> 00:22:38,640 it's either looking for past experiences and also other country experiences and then trying to think about how this might develop. 186 00:22:39,000 --> 00:22:46,409 What are the other health society issues at the moment, like misinformation and social media discussions and so on? 187 00:22:46,410 --> 00:22:50,430 So that I think that was where I was at that period. 188 00:22:50,850 --> 00:22:55,740 And then still quite early on when the trial had been announced, 189 00:22:56,460 --> 00:23:05,400 I had some doctors within a week who were interested in doing some qualitative work with the trial participants. 190 00:23:05,820 --> 00:23:13,080 So that's when they got in touch with me via Andrew Pollard to find out whether we could do a 191 00:23:13,080 --> 00:23:20,819 qualitative study together and that that was the main COVID related work that I'd started at that time. 192 00:23:20,820 --> 00:23:24,340 And so what kind of project was that look? 193 00:23:24,630 --> 00:23:28,050 Yeah, we've had to ask that. Yeah, actually this question I should have asked you previously. 194 00:23:28,140 --> 00:23:33,570 I'm into film list, but I'm trying not to look at it. It's about how you gather data. 195 00:23:33,630 --> 00:23:39,990 Yeah. What methods? So the methods I normally use are interviews and focus groups. 196 00:23:39,990 --> 00:23:48,420 So I would do semi-structured interviews where I'd use a guide with key points that I want to bring up 197 00:23:48,420 --> 00:23:55,860 in the interview and or focus groups with slightly larger numbers of people and discussing topics. 198 00:23:56,220 --> 00:24:03,780 So those have been my main methods, but I've also been doing social media of meta analysis, 199 00:24:03,780 --> 00:24:11,939 which normally isn't just a slight mix of qualitative and quantitative methods. 200 00:24:11,940 --> 00:24:15,720 And then even more recently it's been surveys as well. 201 00:24:16,080 --> 00:24:19,170 So that's that was the design for this. 202 00:24:19,200 --> 00:24:25,680 And this project with COVID 19 participants was to survey and then interview them. 203 00:24:26,580 --> 00:24:33,090 And it took quite a while to get ethical approval and get up and running. 204 00:24:34,440 --> 00:24:42,970 So by the time we were able to send out that initial survey, it was August, 205 00:24:42,990 --> 00:24:49,050 September time, and then we did interviews from September to October, November. 206 00:24:51,640 --> 00:24:57,840 So yeah but those are questions that there are other a select group of people. 207 00:24:57,850 --> 00:25:03,940 Yeah. At these volunteers of questionable medical backgrounds themselves we get quite a well-informed group. 208 00:25:04,810 --> 00:25:11,440 Why did do you think or you and your colleagues think that they made a particularly good sample and they're clearly not representative? 209 00:25:12,040 --> 00:25:14,349 Why did they make a good a good sample? 210 00:25:14,350 --> 00:25:21,220 And my next question, so you can also discuss, but the next question is going to be, what specifically were you asking them about? 211 00:25:22,120 --> 00:25:29,350 I was keen to speak to this group because like the pro-vaccine people, 212 00:25:30,010 --> 00:25:34,059 they might not be seen as the problem group, but I think their views are really important. 213 00:25:34,060 --> 00:25:43,420 So I wanted to know. And collectively as a team, we wanted to know what was motivating them to take part in this research, 214 00:25:43,690 --> 00:25:48,820 what had been their experiences of COVID and and of taking part in this trial. 215 00:25:49,180 --> 00:25:56,260 And the trial was under a high amount of scrutiny and public and media attention. 216 00:25:56,470 --> 00:26:03,400 And that made that group and that experience, I think, even more interesting to focus it on. 217 00:26:03,760 --> 00:26:10,630 And then their in their wider views about taking part in research that attaches to risk 218 00:26:11,560 --> 00:26:16,360 and then what reactions of friends and family were having about them taking part. 219 00:26:17,350 --> 00:26:31,760 And finally their wider views about vaccines and also of people who who might be against vaccination and policies related to vaccination. 220 00:26:31,780 --> 00:26:36,250 These were things that we were asking them in the the survey and the interviews. 221 00:26:36,340 --> 00:26:39,610 So you collected it because I was just reading the paper this morning about 222 00:26:39,610 --> 00:26:43,329 that was particularly about focussed on vaccine nationalism and nationalism. 223 00:26:43,330 --> 00:26:48,430 Yeah. Was that part you didn't have to go back to them and think, oh that would have been a good question. 224 00:26:48,430 --> 00:26:51,640 But you didn't ask them everything at once. Yeah. And analysed it bit. 225 00:26:51,950 --> 00:27:01,149 Bit. Exactly. Yeah. We tried to make it very explorative so I did think about what did the what are the themes 226 00:27:01,150 --> 00:27:08,230 that I think are going to be important coming up say something something like how, 227 00:27:08,560 --> 00:27:16,360 how a successful vaccine will be allocated and uh, also attached to national identity. 228 00:27:16,360 --> 00:27:21,520 Seemed like that was already being considered at least in media. 229 00:27:21,910 --> 00:27:25,060 And that was, that was sort of a topic that was coming up. 230 00:27:26,060 --> 00:27:37,000 And who would be prioritised, how would that allocation happen, which I know is, is a part of developing new vaccines and the rollout of new vaccines. 231 00:27:37,000 --> 00:27:45,129 So I had that in mind as a topic that would be important, and that was something that I wanted to ask the participants. 232 00:27:45,130 --> 00:27:49,240 But we had really a long range of different topics. 233 00:27:49,240 --> 00:27:54,790 And even so, another paper that we we published already was about animal testing, 234 00:27:55,330 --> 00:28:01,900 and I included that from a conversation I had with a geography colleague of mine. 235 00:28:02,320 --> 00:28:11,709 And she she was asking me questions about the trial participants and what they might think about the speed of the vaccine 236 00:28:11,710 --> 00:28:21,490 being developed and possibly also the speed and different arrangements for animal testing before they were tested on. 237 00:28:22,270 --> 00:28:27,370 And I just thought, yeah, that's that's a very relevant question to include. 238 00:28:27,370 --> 00:28:31,780 So we had that in both the survey and the interview. 239 00:28:32,800 --> 00:28:39,730 And did you I mean, do you just pick out a few examples? Did you find that they were quite a homogeneous group or did you have quite a range of views? 240 00:28:41,800 --> 00:28:53,950 Yeah, so a tried that, there were a lot of interviews, so there were about 100 interviews and I probably did 30 to 40 of them. 241 00:28:55,030 --> 00:29:02,050 And what I what really struck me was how people experience the pandemic quite differently. 242 00:29:02,950 --> 00:29:14,200 And I found it very reassuring to speak to people about this because I did hear a lot from people who were quite introverted, 243 00:29:14,200 --> 00:29:18,459 who actually found that what they describe themselves as introverted, 244 00:29:18,460 --> 00:29:25,540 and they found the the pandemic as a relief from having to have social interactions. 245 00:29:25,900 --> 00:29:32,680 And I thought, well, that's quite a nice positive spin on the experience of the pandemic and lockdown particularly. 246 00:29:33,220 --> 00:29:41,320 And a lot of people that also commented on it was a good thing to do during lockdown and they 247 00:29:41,320 --> 00:29:51,140 felt it was very worthwhile and and also something that could be positive coming out of this a. 248 00:29:51,170 --> 00:29:57,740 Experience. So this was all very uplifting, I think, hearing these stories. 249 00:29:59,660 --> 00:30:10,010 I mean, some people talked about the difficulties, but I think because they had very good impressions of the trial as well, 250 00:30:10,010 --> 00:30:15,410 they were they were quite happy to speak about their time and they saw. 251 00:30:17,250 --> 00:30:20,720 Yeah, with quite a uplifting lens really I suppose. 252 00:30:21,230 --> 00:30:27,740 And so it did, I did really enjoy doing the interviews and I think others on the team did as well. 253 00:30:29,720 --> 00:30:38,900 So I need to take the question about whether people thought the vaccine having been developed in the UK should be deployed in the UK the first time. 254 00:30:38,900 --> 00:30:54,950 How did they have at that point out of them? So most of the participants said that they ideally would like a more equitable allocation of the vaccine, 255 00:30:54,950 --> 00:30:58,790 but they knew in reality that that might not be the case. 256 00:30:58,790 --> 00:31:06,859 And there are practical and also political barriers that would prevent that. 257 00:31:06,860 --> 00:31:12,800 So there was this tension between what's the ideal and what would happen in reality. 258 00:31:13,150 --> 00:31:19,730 And I thought that was very reflective of the participants, too, to make this point. 259 00:31:20,210 --> 00:31:25,610 And and this was already before we knew we had a successful vaccine. 260 00:31:26,240 --> 00:31:33,860 So yeah, I think that there's a lot to be garnered from getting views from this this type of group, 261 00:31:34,970 --> 00:31:41,430 which are quite nuanced and do consider a lot of different issues at once and then mentioned. 262 00:31:41,440 --> 00:31:51,709 And yeah, I think we did find that that data really rich and we're still kind of going through it and writing up. 263 00:31:51,710 --> 00:31:56,240 So did you. I'm just curious, did you ask them whether they thought they had the real vaccine? 264 00:31:56,600 --> 00:32:01,940 Yeah. Yeah. So this was one of any way of finding out afterwards, you know? 265 00:32:01,940 --> 00:32:11,240 So they were completely delinked from their participation in the trial, but it did end up being. 266 00:32:12,080 --> 00:32:16,550 So what did most people most people said that they didn't know either way, 267 00:32:17,630 --> 00:32:24,920 but the ones that I think there was quite an even split between thinking that they did or didn't from the rest. 268 00:32:24,920 --> 00:32:35,210 And uh, I think, yeah, probably from the symptoms some people could have guessed which rich group they were in. 269 00:32:35,660 --> 00:32:42,350 Um, and also at that stage because there was some follow up, some, some of them would have known as well. 270 00:32:43,550 --> 00:32:50,240 Yeah, I just threw that in because Danielle opener my interview with a couple of things but if you come across in New 271 00:32:50,240 --> 00:32:57,040 Zealand TVI was he was a volunteer himself was actually certainly had it I think it was unlike if he hadn't. 272 00:32:57,530 --> 00:33:02,990 Yeah, yeah. But he felt very good because he thought he had it, I mean he felt that, that, 273 00:33:03,500 --> 00:33:09,440 you know, gave him, he felt less threatened by the vaccine because he thought he'd had. 274 00:33:09,770 --> 00:33:12,250 Yeah. By the sorry. By the virus. By the news. Yeah. 275 00:33:12,260 --> 00:33:22,309 And I think we did ask that as well whether you think you've changed your behaviour because you suspect that you're protected. 276 00:33:22,310 --> 00:33:34,490 And uh, yeah, a few people did say that they were feeling more relaxed, but I think most were quite God to say that they were. 277 00:33:34,490 --> 00:33:39,740 And I don't know whether that was part of knowing that that was the right thing to say. 278 00:33:39,740 --> 00:33:44,600 So we can't completely know about why people responded to that question in that way. 279 00:33:45,990 --> 00:33:49,100 And also, there were a few questions that you did. 280 00:33:49,640 --> 00:33:56,150 Even though we prompted the participants, you did wonder whether they were saying it because it was the expected answer. 281 00:33:56,690 --> 00:34:02,899 So about how they talked about the trial on social media and with other people. 282 00:34:02,900 --> 00:34:08,180 I think they were maybe a bit more guarded to say that they didn't talk about it so much. 283 00:34:08,180 --> 00:34:11,659 I mean, we, we have to believe what they say. 284 00:34:11,660 --> 00:34:21,260 But, um, that was where we, we were keen to encourage the participants that we're not checking up on anyone. 285 00:34:21,560 --> 00:34:24,560 There is no right or wrong answer and yeah. 286 00:34:24,590 --> 00:34:32,330 We just came to know isn't it. Yeah. So I was very interested in the social media research that you did. 287 00:34:32,720 --> 00:34:41,900 And I mean this is presumably it's opened up a whole new source of rituals of of opinion. 288 00:34:41,900 --> 00:34:46,830 But it's quite, uh, in some ways it seems unmanageable that. 289 00:34:47,180 --> 00:34:51,090 How do you deal with that? It is a good source, but I think it is a. 290 00:34:51,200 --> 00:35:06,410 So limited in its own way. So the type of data that you can access isn't always very representative and has its own limitations. 291 00:35:06,420 --> 00:35:09,920 So Twitter data is the most easily accessible, 292 00:35:09,920 --> 00:35:20,540 but we know that that's only going to be a certain demographic and might not be a very representative sample. 293 00:35:20,540 --> 00:35:29,000 So yeah, there's this balance between the ease of getting hold of some of the social media data and what the results show. 294 00:35:29,360 --> 00:35:33,470 And that's why I would also prefer using a mix of methods. 295 00:35:33,920 --> 00:35:48,079 So not just relying completely on, say, Twitter information and either look for other platforms as well and take other approaches to analysing data, 296 00:35:48,080 --> 00:35:54,170 but combining that with major policy analysis, 297 00:35:54,650 --> 00:35:59,600 um, and also maybe include in interviews and all the techniques in there, 298 00:35:59,600 --> 00:36:07,669 I think it's useful not to just rely on the one single source, especially, I think, Twitter data. 299 00:36:07,670 --> 00:36:15,810 We know that there are drawbacks. But having said that, you do you have a paper is it difficult with with some some while to. 300 00:36:15,860 --> 00:36:19,669 Yeah, that's right yeah. I think the subject how to do it is just talk me through that. 301 00:36:19,670 --> 00:36:21,049 Yeah. Yeah, that's a good point. 302 00:36:21,050 --> 00:36:33,050 So for some topics I think can you you can rely solely on that data if it's if you're looking for a contentious discussion. 303 00:36:33,050 --> 00:36:40,760 So that was what we were keen to see people who were being very pro anti masks 304 00:36:40,760 --> 00:36:44,840 and also vaccines and how they were discussing that specifically on Twitter. 305 00:36:45,530 --> 00:36:53,870 We did we did actually want to include more platforms, and we've done that in our initial analysis. 306 00:36:53,870 --> 00:37:03,019 But through the review process, we were told to only concentrate on one, one platform, I think for for ease of understanding. 307 00:37:03,020 --> 00:37:10,130 And if that was the main data source, then just clarify some results more. 308 00:37:10,760 --> 00:37:14,270 How did you actually get the data on fabric from nuts and bolts? 309 00:37:14,430 --> 00:37:21,620 Yeah. Yeah, of course. So what we would normally rely on is a media monitoring software, 310 00:37:21,710 --> 00:37:35,510 and these are originally designed as commercial softwares to be used by companies and most of the time to to to know what their online presence is. 311 00:37:36,530 --> 00:37:43,190 So for brands, how people are talking about their brand and what is the sentiment and that sort of thing. 312 00:37:43,520 --> 00:37:50,839 But researchers have started to adopt techniques from from that field. 313 00:37:50,840 --> 00:37:59,140 So we do use that kind of commercial software for research and that that helps to scrape the data. 314 00:37:59,150 --> 00:38:04,610 So collect the data in a way that's easy to manage. 315 00:38:05,130 --> 00:38:08,750 And and that, again, has its upsides and downsides. 316 00:38:09,140 --> 00:38:15,650 And that's where with things like their in-built programs for measuring sentiment, 317 00:38:16,160 --> 00:38:26,360 we like to apply our own frameworks for that and not just rely on the framework sheets, buy the commercial software and try and plug in. 318 00:38:26,600 --> 00:38:29,870 This is trying to tell whether they're saying something positive. Yeah, exactly. 319 00:38:29,870 --> 00:38:39,559 Yeah. Yeah. Um, so we, we like to take a sample and train the AI to recognise what, 320 00:38:39,560 --> 00:38:45,379 what is positive or negative and from our perspective, following all framework and parameters. 321 00:38:45,380 --> 00:38:54,890 So that's how we've really been using it. Um, and it does end up being a bit similar to doing a systematic literature review. 322 00:38:54,890 --> 00:39:03,440 So you, you put in your terms and then you kind of get a huge amount of results that are related to these terms of tweets. 323 00:39:03,500 --> 00:39:10,819 We're talking about it in your days of so it depending on where we're course constrained. 324 00:39:10,820 --> 00:39:19,520 And I think typically we've gone between 50000 to 100000 tweets for a lot of these searches. 325 00:39:19,880 --> 00:39:27,440 And then we might do smaller searches within that for particular time frames and 326 00:39:27,440 --> 00:39:33,889 also particular events and do more deep dives within those bigger searches. 327 00:39:33,890 --> 00:39:39,290 And that does make it more manageable and does allow us to use qualitative methods when they're actually being. 328 00:39:39,410 --> 00:39:51,020 Yeah, but we read every every tweet and we do it does mean that the bigger the team, the more also feasible it is to go through. 329 00:39:51,690 --> 00:39:59,490 Those individual tweets and try and understand and try and assign themes, try and construct a narrative around them. 330 00:40:00,990 --> 00:40:04,890 So do you have students or of people doing that with you or was it. 331 00:40:04,920 --> 00:40:10,020 Yeah. So, yeah, a lot of it has been the two of us working together. 332 00:40:10,020 --> 00:40:16,060 And then normally we've had one other researcher, um, 333 00:40:16,770 --> 00:40:25,559 we've been collaborating with a group at UCL where we have been able to draw on a wider group of researchers for various projects. 334 00:40:25,560 --> 00:40:29,460 So that has been useful because it does take more hands. 335 00:40:29,730 --> 00:40:33,810 So yeah, we have had to reach out the room. 336 00:40:34,320 --> 00:40:42,630 And what were the conclusions that you drew from your this particular study almost to say that a study about masks and vaccines, 337 00:40:44,220 --> 00:40:52,950 we already had noticed that there might be some overlap between these these different groups who seem to be convergent. 338 00:40:53,400 --> 00:40:59,969 And that was really confirmed by looking through tweets and the online information. 339 00:40:59,970 --> 00:41:09,000 So you saw those and said people who who seem to be very anti-vaccine, 340 00:41:09,300 --> 00:41:25,070 also being anti-mask and using some of the sort of markers and ways of describing themselves and within the anti-mask and anti-vaccine areas. 341 00:41:25,080 --> 00:41:34,980 So, uh, yeah, that was something that we saw for those two groups, but also that the pro, the pro mask and the pro-vaccine and um, 342 00:41:35,460 --> 00:41:46,620 trying to work out where the overlaps were between what seemed like slightly separate groups and was, was the core of them that work. 343 00:41:47,910 --> 00:41:54,629 But I mean what you were right that if I understand it correctly that that the people 344 00:41:54,630 --> 00:41:59,500 who were anti what they were actually anti was being told what to do by the government. 345 00:42:00,030 --> 00:42:05,500 Is that is that fact? Yeah, I think that that was one of the key points and. 346 00:42:08,640 --> 00:42:14,490 Seen how those different groups were responding to political events. 347 00:42:15,000 --> 00:42:21,120 You could you could kind of see how it was a libertarian approach. 348 00:42:21,390 --> 00:42:32,190 And yeah, what were the unifying concepts that were connecting these groups together and how they were almost, um. 349 00:42:33,300 --> 00:42:38,070 Uh, form an anti anti measures group as a whole. 350 00:42:38,430 --> 00:42:41,640 Mm hmm. And so put. 351 00:42:44,530 --> 00:42:52,930 I mean, it's what extent have the surveys and the results that you've done been able to inform policy at that, 352 00:42:53,380 --> 00:42:56,890 at the government level, at work, I suppose, obviously in terms of messaging? 353 00:42:57,820 --> 00:43:12,220 Yeah. I suppose as someone who's doing primary research and being the publishing and academic journals, 354 00:43:12,490 --> 00:43:22,520 it is a bit hard to say where the policy connections are and the policy implications are that you are being called in yourself to brief ministers. 355 00:43:23,020 --> 00:43:40,440 No, no, no, not directly. So that the main direct impact would probably have been in the vaccine hesitancy within the BAME community. 356 00:43:40,450 --> 00:43:42,380 So black and minority ethnic groups. 357 00:43:42,820 --> 00:43:54,010 And that's where myself and also a colleague in the Oxford Vaccine Group had been reaching out to different community groups during COVID 19. 358 00:43:54,010 --> 00:44:04,510 And what we did was a lot of Q&A sessions, a lot of kind of on online forums with these groups. 359 00:44:04,990 --> 00:44:16,870 And then we were in contact with policy people in government to give our advice really on what we found from working with within those communities. 360 00:44:17,170 --> 00:44:25,300 So that that was where there was probably more of a direct connection and see what actually happened to published papers so that you were, 361 00:44:25,320 --> 00:44:29,080 you were directly trying to help the situation. 362 00:44:29,350 --> 00:44:34,600 Yeah. And that really came from my colleagues side. 363 00:44:34,810 --> 00:44:44,080 Cannavaro, the he's a paediatric consultant, and he was just really concerned with the high level of hesitancy, 364 00:44:44,080 --> 00:44:51,010 but also the higher death rates and the worse outcomes within minority ethnic groups. 365 00:44:51,430 --> 00:44:57,819 So he had reached out to me and said, What can we do about this? 366 00:44:57,820 --> 00:45:05,380 And Can we work together? Can we go and speak directly from a grassroots level to community groups? 367 00:45:05,470 --> 00:45:14,350 And yeah, we got the okay also from our group lead and that's what we did for a few months during the pandemic. 368 00:45:14,350 --> 00:45:20,830 And also we thought it was important to write up that work mainly in comments and in, 369 00:45:20,840 --> 00:45:26,200 in some media articles and also connect up with with policy people, 370 00:45:26,200 --> 00:45:33,490 with the government to, to make sure that those lessons were coming out and those views were being represented. 371 00:45:34,110 --> 00:45:37,750 And what did you learn about the reasons for that whole hesitancy? 372 00:45:38,380 --> 00:45:45,070 So we said we did actually get some pushback, whether that was really hesitancy. 373 00:45:45,460 --> 00:45:51,370 And I mean, this is something that I've experienced through through the research anyway, 374 00:45:51,370 --> 00:46:02,050 whether that it was a question of access and practical issues for some people, but also whether that hesitancy is also justified. 375 00:46:02,800 --> 00:46:10,510 If people have felt like they haven't had a good treatment in the past from both health providers, 376 00:46:10,510 --> 00:46:16,690 but also within government policy and historical abuses as well. 377 00:46:16,690 --> 00:46:28,810 So that that's something that really struck me that even even thinking about this problem was quite political and controversial in itself. 378 00:46:29,320 --> 00:46:34,290 And having that discussion with people was, was really informing. 379 00:46:34,750 --> 00:46:44,750 And I think the main takeaway was that they wanted to be heard and they didn't just want to be talked about as this as another group. 380 00:46:46,990 --> 00:46:50,430 And BAME is a terribly yeah. 381 00:46:50,440 --> 00:46:52,300 And especially since they, 382 00:46:53,140 --> 00:47:05,980 it was a very popular label and and that's something that we saw community groups really and being on the front foot with during COVID, 383 00:47:05,980 --> 00:47:14,709 knowing that they wanted to have their voices heard more and they knew that government 384 00:47:14,710 --> 00:47:20,880 was also reaching out to them to make sure that their communities were well represented. 385 00:47:21,170 --> 00:47:28,329 So yeah, it was observing how this was happening, but the feedback was that it was all very slow, 386 00:47:28,330 --> 00:47:35,440 so the right processes were put in place, but it could have all been a lot faster. 387 00:47:36,070 --> 00:47:48,040 And that's where you want these channels to be ready and prepared for future pandemic or crisis situations and not having 388 00:47:48,040 --> 00:47:57,190 to to scramble to hear views of communities and find out what their needs and concerns are when there's a problem. 389 00:47:58,510 --> 00:48:01,120 So do you think you've learned anything new about. 390 00:48:01,860 --> 00:48:11,370 Approach to the issue of vaccination as a result of the experience of the vaccine, or is it just more of the same of what you've seen before? 391 00:48:12,300 --> 00:48:21,570 Whether in this country or overseas? And it's definitely new because we've seen what it's been like to have a vaccine 392 00:48:21,570 --> 00:48:31,380 developed during a global pandemic and at a speed that has been unprecedented. 393 00:48:31,740 --> 00:48:42,120 And I think we we we could assume these problems of what being worried about speed, 394 00:48:42,390 --> 00:48:49,170 safety, new technologies and the intentions of different actors involved. 395 00:48:49,830 --> 00:48:54,180 I think I mean, I was already thinking about multiple vaccines, 396 00:48:54,180 --> 00:48:59,930 but we weren't exactly sure how that was going to pan out on the political and and 397 00:49:00,020 --> 00:49:07,590 national level and the kind of controversies that were created around side effects. 398 00:49:08,650 --> 00:49:23,520 A. Yeah. It's hard to imagine exactly how that's going to play out, but I think you could predict some of those general issue areas. 399 00:49:24,130 --> 00:49:27,600 So. Hmm. 400 00:49:27,840 --> 00:49:37,110 I suppose what has been surprising is the high adoption and the high support in the face of challenges. 401 00:49:37,110 --> 00:49:48,180 So. It still is still very worrying that vaccines aren't available in all countries. 402 00:49:48,190 --> 00:50:01,240 And even though we have COVAX, that there are still major problems in getting COVID 19 vaccines to low and middle income countries. 403 00:50:01,250 --> 00:50:12,879 So this is this is an ongoing issue, and it's not clear how that is going to change into manufacturing changes. 404 00:50:12,880 --> 00:50:21,360 And until. Those countries have are in a better position to make their own vaccines, 405 00:50:21,960 --> 00:50:27,450 which goes back to your early interest in the economics of helping countries in that regard. 406 00:50:29,190 --> 00:50:36,960 Uh, which is, I mean, that's not directly part of your research interest these days, but it's something that you obviously, you know. 407 00:50:37,350 --> 00:50:49,709 Yeah. And is part of the structure of global health and uh, why, why, why we have the issues that we are seeing in this pandemic. 408 00:50:49,710 --> 00:50:58,680 So I think it is still the political, economic and social issues that they're all, they've all been highlighted through COVID. 409 00:50:58,920 --> 00:51:06,900 And we can see that it's not just about the science and it's not just about creating a vaccine. 410 00:51:08,860 --> 00:51:18,030 Now, all these other factors play a big role as well. I mean, we've been talking all along says vaccination is a sort of self-evident good. 411 00:51:18,270 --> 00:51:21,360 And I did have a question I meant to ask you earlier, but I can just ask you now, 412 00:51:22,230 --> 00:51:32,220 is it possible to characterise the impact of vaccination on global health really since the JAMA? 413 00:51:32,670 --> 00:51:41,100 Yeah. I mean there have been some statements to the effect of apart from clean water vaccines 414 00:51:41,100 --> 00:51:46,950 have had the biggest impact on global health and you are able to make these estimates, 415 00:51:46,950 --> 00:51:59,129 but they're always kind of and it's quite hard to measure the counterfactual, say and say exactly what's what's caused the change. 416 00:51:59,130 --> 00:52:12,510 But there's a reason why governments and international institutions really put vaccines high up on the list of technologies and 417 00:52:12,510 --> 00:52:21,420 interventions that would be really important for health because it's a preventative technology and along with something like clean water, 418 00:52:22,800 --> 00:52:35,760 that there's consensus has been a major reason why we have low mortality today for many infectious diseases. 419 00:52:35,830 --> 00:52:48,180 Mm hmm. And do you think that there's now a greater awareness of the impact that social science can have in these global health questions? 420 00:52:49,140 --> 00:52:58,049 I think there is, and especially for not just caring about behavioural science, which unfortunately, 421 00:52:58,050 --> 00:53:06,090 I think at the start of the pandemic that was that was the area of social science that was concentrated on and they made a big mistake. 422 00:53:06,810 --> 00:53:10,590 Yeah. I mean, there's talk of fatigue. 423 00:53:11,040 --> 00:53:17,960 Yeah. That people wouldn't put up with. Yeah. And there have been major say we should talk about it as you have written about that happened. 424 00:53:17,970 --> 00:53:27,340 Is that the. So there was this idea early on that if you brought in a lockdown too soon, people would get fed up and stop complying. 425 00:53:27,360 --> 00:53:33,360 Very quickly, before you got anything else in your in your arsenal to deal with the pandemic. 426 00:53:34,220 --> 00:53:37,830 What turned out to be the case? Yeah, exactly. 427 00:53:37,830 --> 00:53:44,520 I think it is a concern, but that didn't quite pan out exactly how that was imagined. 428 00:53:45,270 --> 00:53:51,300 So there's a need to be really careful about imagining how the public will behave. 429 00:53:51,810 --> 00:54:03,060 And I think that's something that has been really clear from COVID 19 that maybe a higher trust should be placed in public reactions and actions. 430 00:54:03,060 --> 00:54:12,390 But this really nice analogy with doing press ups or that this was going to be open to the press. 431 00:54:12,630 --> 00:54:15,700 Oh, I'm not sure if I that with, you know, even first. 432 00:54:15,840 --> 00:54:21,450 I think I said in the press that it was something you said that. 433 00:54:23,040 --> 00:54:30,060 But there are some things that are low cost like models which you just get used to do it and become habituated to it. 434 00:54:30,540 --> 00:54:36,959 But something like lockdown is high costs and it's like being asked to do press ups over and over and over and over again. 435 00:54:36,960 --> 00:54:38,700 You get to the point where you just can't do it anymore. 436 00:54:39,150 --> 00:54:47,880 I think that that was a distinction between that you can't you can't treat all mitigating approach. 437 00:54:48,210 --> 00:54:49,140 It must be something else. 438 00:54:49,140 --> 00:55:03,210 And I remember there might be bit of stuff that you've got to be aware of the cost of taking a step before you decide how they're going to respond. 439 00:55:03,330 --> 00:55:06,840 Yeah, we're get to be prepared to comply. Yes. 440 00:55:06,840 --> 00:55:13,380 And not to. It's kind of over. Expect a certain response that seems to be really key. 441 00:55:14,040 --> 00:55:20,920 But people do want really clear rules and really clear messages and to to flip flop or I think Google. 442 00:55:21,030 --> 00:55:24,989 Yeah. Oh, I was just yeah. 443 00:55:24,990 --> 00:55:28,080 It was a that was going to be like did with benefit three weeks. 444 00:55:28,320 --> 00:55:35,530 Okay. Yeah. So that before the break you can. Yeah. 445 00:55:37,740 --> 00:55:46,500 So, yes, we said we were just talking about the social science and you said that to make it all about behaviour was a mistake. 446 00:55:46,940 --> 00:55:50,700 Hmm. So what are the other areas that people need to look at a bit more closely? 447 00:55:51,120 --> 00:56:01,500 So sociology and anthropology have added quite a lot to understanding the social side of epidemics and outbreaks. 448 00:56:01,750 --> 00:56:05,160 And also history, I think, has been really important. 449 00:56:06,930 --> 00:56:15,899 But I would say keep an open mind to social science and humanities research and not not 450 00:56:15,900 --> 00:56:23,880 just thinking that there's a certain type of research that AIDS pandemic response, 451 00:56:24,180 --> 00:56:32,220 which does seem to been the case at the start of this pandemic and in the UK at least. 452 00:56:35,560 --> 00:56:41,830 So has this work raised new questions that you were interested in working on in future? 453 00:56:42,550 --> 00:56:49,570 I've been more interested in in trials and understanding what motivates people 454 00:56:49,570 --> 00:56:55,900 to take part in trials and seeing Charles within a wider political economy. 455 00:56:56,830 --> 00:57:04,720 And I think I mean, there have been quite a lot of important pieces of research on clinical trials. 456 00:57:05,740 --> 00:57:17,709 But I'd I'd like to focus more on the profile and portrayal of trials in media and in the public domain and how that 457 00:57:17,710 --> 00:57:26,680 also might be changing since COVID and how the structure and interest in trials might be changing since COVID. 458 00:57:27,070 --> 00:57:34,629 So that's something that I'm exploring further and and might do a kind of similar 459 00:57:34,630 --> 00:57:40,270 format to these surveys and interviews that I did for COVID 19 participants. 460 00:57:40,480 --> 00:57:44,540 So it was quite unusual to have a trial that was going on in the full glare of publicity. 461 00:57:44,570 --> 00:57:48,940 Yeah, because what normally happens is a trial takes place. Nobody really knows about it except that it's involved. 462 00:57:49,210 --> 00:57:53,980 And then you have a press release when the result comes out. Yeah, but I had a trial that was great. 463 00:57:53,980 --> 00:58:00,250 You know, we have pictures in the paper of the first trial volunteers having their injection, but that was really very different. 464 00:58:00,910 --> 00:58:10,840 Exactly. And these people and the research participants that take part in clinical trials are so important for scientific progress. 465 00:58:10,840 --> 00:58:21,729 But the. They're really forgotten about and not really known in public awareness. 466 00:58:21,730 --> 00:58:31,150 So I think that crucial role is something that should be explored further to know. 467 00:58:33,130 --> 00:58:43,420 I think across AusAID, across countries and across time, how, how that position as a trial participant has changed and what that involves. 468 00:58:44,230 --> 00:58:54,490 There's been really good work in America and that's a lot of the time been looking at the the gendered and racial dimensions to trial participants. 469 00:58:55,990 --> 00:59:05,190 But in other countries there's been less of a focus on those social and political representations of trial participants and. 470 00:59:06,470 --> 00:59:12,170 So in America, it's it's almost something that people don't want to talk about doing. 471 00:59:13,130 --> 00:59:18,790 What we've seen in the UK and in in Europe and taking part in COBRA trials, 472 00:59:18,800 --> 00:59:30,560 people have been very proud and wanted to tell others that they've taken part and that's a whole different way of thinking about child participation. 473 00:59:31,250 --> 00:59:35,750 And that's yeah, that's something that I'd like to find out more about. 474 00:59:36,230 --> 00:59:46,120 Does that fit within the context of a general, a wider community response, doing things like running food banks or making masks? 475 00:59:46,130 --> 00:59:53,120 And there was this tremendous explosion of voluntary activity that happened particularly early in the pandemic. 476 00:59:53,120 --> 00:59:57,589 Yeah, all coming from, I guess that same place of being. 477 00:59:57,590 --> 01:00:03,200 I want to be able to do something. It does seem to be part of that ethos. 478 01:00:03,710 --> 01:00:07,160 And and so that would be it. 479 01:00:07,160 --> 01:00:12,020 I mean, did you ask that new questions, whether those people were also engaged in that kind of activity? 480 01:00:12,020 --> 01:00:20,419 Yes. So we did actually ask them in the interviews whether they did other things during the pandemic to help 481 01:00:20,420 --> 01:00:26,660 their community or whether they saw maybe taking part in the trial is the main way that they could help. 482 01:00:26,990 --> 01:00:31,760 And I think a lot a lot of the people we spoke to were doing other things. 483 01:00:31,760 --> 01:00:37,240 But they they did think, oh, I'm a healthy person. I live in near where this trial is happening. 484 01:00:37,250 --> 01:00:42,889 This is the way that I can contribute. Or or they might apologise and say, well, I'm not a doctor. 485 01:00:42,890 --> 01:00:47,480 I can't save lives, not a nurse. This is something I can do. 486 01:00:47,810 --> 01:00:59,060 And although there were quite a few have co workers said that did take part and I think they just wanted to see results happen as soon as possible. 487 01:00:59,060 --> 01:01:12,680 So almost from seeing the effects of COVID meant that they were motivated to try and get a vaccine and see this one could possibly be made. 488 01:01:12,890 --> 01:01:21,350 So, oh, so what do you think of obviously it's nice for the participants to have a better recognition of their role, 489 01:01:21,950 --> 01:01:28,070 but do you think it could actually feed into the way trials are designed and executed? 490 01:01:30,440 --> 01:01:42,709 So I think it can because we we do need to know one thing about recruitment for trials under such scrutiny, 491 01:01:42,710 --> 01:01:54,920 but but also how to better support trial participants when there is this kind of scrutiny and attention. 492 01:01:54,920 --> 01:02:01,670 So I think on both sides it can be useful to feed into future trials. 493 01:02:01,850 --> 01:02:11,639 And so I think I hope there would be some direct feedback from surveying these participants and interviewing them as well. 494 01:02:11,640 --> 01:02:19,070 And I think to see more questions about just about how the pandemic impacted on you personally and to 495 01:02:19,070 --> 01:02:25,940 what extent did you actually feel threatened by the risk of infection or other members of your family? 496 01:02:25,940 --> 01:02:34,580 Yeah, I was very worried about my my parents and my in-laws and other people that I knew were more vulnerable. 497 01:02:35,030 --> 01:02:44,059 And and that's yeah, that's been the ongoing worry, I think with vaccines we've been been less worried, 498 01:02:44,060 --> 01:02:51,740 but with people who are immune compromised is still an ongoing issue that they have to deal with. 499 01:02:51,740 --> 01:02:58,850 So and. Yeah. I think that it doesn't go away and it hasn't gone away yet. 500 01:02:58,850 --> 01:03:06,400 So. And I would also say because then I've had long periods of. 501 01:03:06,470 --> 01:03:09,490 Oh, really? Yeah. Probably been more the case. 502 01:03:09,800 --> 01:03:18,020 So where did you when did you get the infection? So it was the end of 2020, November just before. 503 01:03:19,280 --> 01:03:23,330 Was that right? Yeah. Before the vaccines came out in April 2021. 504 01:03:23,760 --> 01:03:29,659 No, that was the year before. So it was nice to be I think in the end it was the end of December. 505 01:03:29,660 --> 01:03:34,819 The very first. Yeah. So the first the first thought was the Pfizer one was approved at the end of November. 506 01:03:34,820 --> 01:03:38,810 Yeah. So I think the first vaccinations took place and. That's right. 507 01:03:38,990 --> 01:03:43,530 And then I had one in February. Yeah. But it's yeah. 508 01:03:43,940 --> 01:03:48,739 So I got it in the November and that was before the vaccines came out. 509 01:03:48,740 --> 01:03:55,490 Yes. Yeah, yeah. And Halloween. And so I haven't been as bad as others. 510 01:03:55,490 --> 01:04:05,120 So for like I don't really want to complain, but I do have sympathy for people who are having long cold symptoms because it has been 511 01:04:05,660 --> 01:04:13,250 quite difficult to manage and and just really having not knowing when it's going to end. 512 01:04:13,250 --> 01:04:19,750 I think also for anyone with chronic conditions, um, do you feel, do you still feel the effects? 513 01:04:20,080 --> 01:04:26,780 Yeah, I still feel the effects of it. It's and it's improved over time, so I hope it will go away at some point. 514 01:04:26,780 --> 01:04:38,059 But, um, my, my problem is that many had symptoms like with, with that and, but headaches and like a feeling of being hung over every day. 515 01:04:38,060 --> 01:04:42,980 And that really didn't go away for a long time. So that's been quite annoying. 516 01:04:42,980 --> 01:04:50,210 And then I got other things like shingles for my parents and it just was unrelenting. 517 01:04:50,830 --> 01:04:56,840 But I hope it will eventually go away. 518 01:04:56,840 --> 01:05:00,229 And I know other people who've had worse long COVID symptoms. 519 01:05:00,230 --> 01:05:11,300 So I'm it's just something that I feel quite strongly about and that we shouldn't forget that there are long lasting consequences to COVID and 520 01:05:11,360 --> 01:05:22,220 obviously in people who are still dying and people who are still affected by Long-covid and any other effects after having the infection. 521 01:05:23,660 --> 01:05:27,559 So I next question was about how the lockdown impacted on what you were able to do. 522 01:05:27,560 --> 01:05:33,140 But added to that, the fact that you couldn't get to work and the fact that you were on. 523 01:05:33,150 --> 01:05:37,910 Well, yeah, I didn't actually mind the lockdown so much. 524 01:05:37,930 --> 01:05:47,389 And maybe I'd been used to working from home and been in charge of my own time for a while, 525 01:05:47,390 --> 01:05:54,350 which I think a lot of my my friends found difficult because they're used to going into the office every day. 526 01:05:54,350 --> 01:05:58,729 Well, I've had more control over where I am and what I'm doing. 527 01:05:58,730 --> 01:06:07,070 So and for me, it didn't feel like so much of a change and I like doing outdoor things. 528 01:06:07,490 --> 01:06:15,709 So, um, yeah, I think similar to everyone else that the social constraints have been hard and annoying. 529 01:06:15,710 --> 01:06:21,570 But for me I just see the, in the, in the whole picture. 530 01:06:21,570 --> 01:06:27,889 It hasn't been so bad personally for me. And you were quite productive during that time. 531 01:06:27,890 --> 01:06:32,750 Yeah, maybe a bit too much. I probably should have another question about your hours. 532 01:06:33,350 --> 01:06:39,250 Yeah, you went very long. Um, I probably worked a bit too much, and I don't think that helped with the long COVID either. 533 01:06:39,260 --> 01:06:43,800 And, um, so how quickly did you get back to trying to try to work? 534 01:06:43,880 --> 01:06:47,270 I was, I was still always, always working. 535 01:06:47,270 --> 01:06:57,440 So that was the one thing that I could do. And even if I couldn't get up out of bed, I would probably just, um, stay in work. 536 01:06:57,440 --> 01:07:01,790 Because if I had my laptop and I'm just lying down, that's something that I could do. 537 01:07:02,880 --> 01:07:07,880 And I was more constrained by walking about doing any exercise. 538 01:07:07,880 --> 01:07:14,500 And, um, yeah, actually, unfortunately, work was something that I could always do, 539 01:07:15,410 --> 01:07:20,150 but I don't think it's actually so helpful if you're unwell to carry on working all the time. 540 01:07:25,940 --> 01:07:28,969 And I a few were involved in teaching at all. 541 01:07:28,970 --> 01:07:35,810 And how was that impacted? A little. A little bit. So I do I do some teaching, but mainly master's students. 542 01:07:35,810 --> 01:07:43,850 And yeah, I felt quite bad for them because especially at the beginning of the pandemic, they were really disrupted. 543 01:07:43,850 --> 01:07:52,790 And, uh, there's a shortage of the masters and they really did have to change their schedules quite a bit. 544 01:07:53,480 --> 01:07:56,719 And the whole experience is not what they were expecting. 545 01:07:56,720 --> 01:08:00,350 So I, yeah, I did feel bad for their students. 546 01:08:00,560 --> 01:08:06,830 I think they w pretty well to get in lectures and do homework online. 547 01:08:07,640 --> 01:08:14,570 Um, and maybe it is easier with this with the older group compared to school students. 548 01:08:14,570 --> 01:08:23,389 So um, yeah, it was quite encouraging that the switch to online could be, can be done and it was doable. 549 01:08:23,390 --> 01:08:33,920 And I think they still got a lot out of their courses and were carrying on with, with more of a hybrid mix between in-person and online. 550 01:08:35,000 --> 01:08:42,860 It does also mean that I mean, there are some upsides for people who is more convenient to do the online lectures. 551 01:08:42,890 --> 01:08:49,400 Um, I think some students might prefer and for whatever reason, but, um, 552 01:08:49,700 --> 01:08:55,850 and some of them just not come back full speed with a yeah, I mean, the problem with some of the masters, 553 01:08:56,690 --> 01:09:07,610 at least the one that I teach on, which is international health and tropical medicine, and that is nearly all overseas students pretty much. 554 01:09:07,610 --> 01:09:14,960 And that's I mean, it's some of it not based, not for, not for these students, but uh, 555 01:09:14,990 --> 01:09:26,270 there are practical aspects, but mainly to do with public engagement and also maybe clinically based. 556 01:09:26,270 --> 01:09:32,030 But if there is something that they're interested in that they want to do for the, um, the thesis, for example. 557 01:09:32,570 --> 01:09:38,690 Um, so yeah, they, they were quite affected at the beginning of the pandemic because it meant 558 01:09:38,690 --> 01:09:43,940 that some couldn't travel over or some had to go back to their home countries. 559 01:09:44,270 --> 01:09:47,270 But I think that has improved a lot. 560 01:09:47,480 --> 01:09:50,510 And, and well, we've all adapted, we've all had to adapt. 561 01:09:50,510 --> 01:09:56,450 So now I would say that that that course has been delivered very well. 562 01:09:56,620 --> 01:10:00,889 And I think all the students are getting a lot out of it. 563 01:10:00,890 --> 01:10:15,240 And um, even if there is more on my teaching and how he felt about the precautions that are being taken and since since you have come back and. 564 01:10:16,630 --> 01:10:19,180 So I'm not I'm not in so often. 565 01:10:20,530 --> 01:10:32,679 I think it was quite a shock during COVID because whenever you come into the Oxford Vaccine Group, it was the busiest place in the whole of Oxford. 566 01:10:32,680 --> 01:10:40,030 So that is how participants come here to have their jobs, not not really in the building. 567 01:10:40,030 --> 01:10:53,239 So we had an portacabin set up and there is a small facility on the side of our offices where I think some of the jobs might have taken place. 568 01:10:53,240 --> 01:11:00,129 So some of the follow up consultations might have taken place, but it is a bit separate from us, so we wouldn't bump into participants. 569 01:11:00,130 --> 01:11:12,760 But obviously actually when I got my first job it was from a colleague in the portacabin and I suppose it is a 570 01:11:12,760 --> 01:11:23,340 bit busy but and that that they were done not really in a spacious way to comply with the social distancing. 571 01:11:23,350 --> 01:11:33,399 So I'm just surprised how everything sprung up so quickly and, and all these extra things like donations of meals. 572 01:11:33,400 --> 01:11:39,549 And suddenly we've got free teas and coffees and in the kitchen. 573 01:11:39,550 --> 01:11:44,800 And I think all of the goodwill around the trial was just really nice to see. 574 01:11:45,010 --> 01:11:50,839 And I mean, I've witnessed this already with being around some of the trials that have happened in the past. 575 01:11:50,840 --> 01:11:59,379 The there are really some enthusiastic participants who sent in hampers food for 576 01:11:59,380 --> 01:12:04,900 the staff and sent in thank you messages and cards and things and little gifts. 577 01:12:04,900 --> 01:12:13,209 And this this happened even more during COVID. And it was just really nice to see and you can see a lot of vaccine group on some of 578 01:12:13,210 --> 01:12:18,580 the walls and put up cards and messages of support from people all over the world. 579 01:12:19,660 --> 01:12:29,020 So yeah, that that's made it a nice environment, but also a bit strange that things not only carried on as normal within this building, 580 01:12:29,020 --> 01:12:34,480 but ramped up even more and was was busier and more people were employed. 581 01:12:34,990 --> 01:12:36,670 Uh, you know. 582 01:12:37,620 --> 01:12:48,480 Kind of the other things that changed all that kind of stickers and signs showing what we have to do and how we're adhering to the guidelines. 583 01:12:50,280 --> 01:12:57,960 Yeah, so it's been interesting to see how this place is operating during COVID and now so we're speaking 584 01:12:58,350 --> 01:13:04,590 towards the end of 2022 when the government has said we don't need to take any precautions at all. 585 01:13:05,760 --> 01:13:13,020 And I've been going around different departments talking to people and it seems to be up to departments exactly what they do. 586 01:13:13,020 --> 01:13:19,680 And most of them are more cautious than the government's guidelines, but there is variation among them. 587 01:13:20,400 --> 01:13:25,080 But I have a sense that this one is still quite big, quite careful about things like health. 588 01:13:25,350 --> 01:13:31,300 And so yeah, I think they are more cautious and I probably say, uh, 589 01:13:31,740 --> 01:13:39,150 the perspective of doctors sometimes seems to be not to be as worried about diseases as maybe I would be. 590 01:13:39,360 --> 01:13:49,740 So, uh, I think perhaps I'm more on the cautious side and maybe because that just deal with it more and see it more. 591 01:13:49,860 --> 01:13:52,290 Sam feels less of a threat. 592 01:13:53,310 --> 01:14:00,780 And, but that doesn't mean that people don't adhere to the rules, because I think people are following the rules and are told that they shouldn't. 593 01:14:00,780 --> 01:14:04,200 So they do this in this group. 594 01:14:04,740 --> 01:14:09,200 Yeah, but you're right. Across colleges, across different departments. 595 01:14:09,230 --> 01:14:15,719 Um, it's, it's been interesting to see what the approaches have been and you can kind of see, 596 01:14:15,720 --> 01:14:22,200 oh, that's quite a liberal college or that's quite a conservative college. 597 01:14:22,200 --> 01:14:31,000 And whether they put in a mask mandate, a mask rule or not, depending on their approach and. 598 01:14:32,920 --> 01:14:39,760 So do you think the fact that you could work on something that was related to the pandemic helped to support your well-being? 599 01:14:42,210 --> 01:14:48,960 I'm not sure. I think it would have been strange not to have worked on something to do with COVID. 600 01:14:49,710 --> 01:14:53,310 As someone who is generally interested in how often society topics. 601 01:14:53,310 --> 01:15:00,750 So it was immediately a topic of interest for my well being. 602 01:15:00,930 --> 01:15:08,999 It was nice to know what was going on in terms of a vaccine being developed, and I think that really gave a lot of hope to people, 603 01:15:09,000 --> 01:15:13,370 even if for me not directly working on the vaccine development, 604 01:15:13,380 --> 01:15:19,170 but knowing the people quite well who were working on it and who were involved in the trial. 605 01:15:19,170 --> 01:15:22,410 And I think that was really encouraging. 606 01:15:23,390 --> 01:15:33,150 Uh, in some ways you, you may be feel like you're a bit too close to the subject matter as well. 607 01:15:33,660 --> 01:15:36,750 So it's nice to work on other things. 608 01:15:36,750 --> 01:15:42,460 And I think at the beginning of COVID, I wasn't that keen to do too much about Cambridge. 609 01:15:42,870 --> 01:15:56,520 It felt a bit too close. And I actually wrote the script for an animation that I worked with my colleague class with about Typhoid Mary, 610 01:15:57,000 --> 01:16:04,559 and I think I really enjoyed working on a different disease at a different time and not having 611 01:16:04,560 --> 01:16:14,670 to think about COVID for a bit and those those daily broadcasts of cases and deaths per country, 612 01:16:14,670 --> 01:16:17,700 I think a lot of people found very stressful. 613 01:16:18,450 --> 01:16:28,860 And so I'm glad in a way, I'm glad that they're not reported on like that anymore in this very sensationalist, alarmist way. 614 01:16:29,100 --> 01:16:34,530 But at the same time, we're seeing daily deaths and daily cases are rising. 615 01:16:34,530 --> 01:16:41,940 And I don't like that that's not being thought about or or people don't like to look at it anymore. 616 01:16:42,330 --> 01:16:45,330 I think we have to know that there's still a problem. It was back on Will. 617 01:16:45,350 --> 01:16:49,160 That won't take. Yeah, there hasn't been for a while, but yeah. 618 01:16:50,760 --> 01:16:56,159 Um. But yeah, I suppose this is difficult to get that quite right. 619 01:16:56,160 --> 01:17:07,620 You either either were paying too much attention or less to. Yes. And has the experience of of kind of it changed your attitude or your approach 620 01:17:07,620 --> 01:17:11,160 to your work in any way and the things you'd like to see change in the future? 621 01:17:13,800 --> 01:17:24,900 It's interesting because I remember thinking I didn't work on Ebola, but I knew a lot of people that that did work on Ebola and. 622 01:17:26,800 --> 01:17:36,160 Their reflections, it seemed like it was also something quite traumatic to be a part of and but also obviously really topical and important. 623 01:17:37,120 --> 01:17:43,600 So I remember looking at those researches and thinking, Oh, it's good that they were able to contribute. 624 01:17:45,160 --> 01:17:49,630 They were part of something that needed their input. 625 01:17:49,690 --> 01:17:58,959 And I feel a little bit like that about COVID, although I would say in my field, maybe everyone has been working on COVID as well. 626 01:17:58,960 --> 01:18:09,220 So we don't want to forget that there are other academic topics and maybe the quality 627 01:18:09,940 --> 01:18:17,559 of scholarship might not have been the same during this pandemic as in other times. 628 01:18:17,560 --> 01:18:20,770 That's something else to think about. And yeah, 629 01:18:22,560 --> 01:18:34,750 I'm going to be looking at how this is this is going to be panning out post-pandemic when that happens and what my colleagues 630 01:18:34,750 --> 01:18:42,220 will be working on and how they might add up to two other topics if they have been concentrating mainly on COVID. 631 01:18:43,660 --> 01:18:49,860 You're going to be looking at that. So you're essentially a study in your own colleagues? 632 01:18:49,860 --> 01:18:51,249 Yeah, I do like doing that. 633 01:18:51,250 --> 01:19:02,979 And I, I have to admit, if I if I am if I do do interviews about a topic, I do like to speak to some academics as research subjects. 634 01:19:02,980 --> 01:19:14,920 At the same time, maybe this is getting way too reflexive, but there is an overlap between academia and policy and society and media and, 635 01:19:14,920 --> 01:19:19,250 and there are definitely individuals who fit that criteria where I. 636 01:19:19,840 --> 01:19:22,950 I do like to include them in the research gathering. 637 01:19:22,960 --> 01:19:30,370 But now I suppose more from an informal point of view and less as a research topic. 638 01:19:30,370 --> 01:19:42,370 But it's something that I would like to reflect upon how, yeah, my, my field or research community will adopt of the code. 639 01:19:43,110 --> 01:19:53,860 Um, and not everyone's been working on COVID, but a lot of, a lot of people have been, especially in vaccine attitudes, vaccine hesitancy and policy. 640 01:19:55,990 --> 01:19:56,460 Great.