1 00:00:11,790 --> 00:00:16,200 Hello, I'm David Edmonds and this is the Pandemic Ethics Accelerator Podcast. 2 00:00:16,710 --> 00:00:22,140 The UK Pandemic Ethics Accelerator was a project funded by the Arts and Humanities Research 3 00:00:22,140 --> 00:00:28,830 Council in 2021 22 to examine the ethical challenges faced during the COVID pandemic, 4 00:00:29,430 --> 00:00:37,650 it combined expertise from the University of Oxford, Bristol, Edinburgh University College, London and the Nuffield Council on Bioethics. 5 00:00:38,190 --> 00:00:43,140 This six part podcast series covers some of the themes that emerged from the research. 6 00:00:48,360 --> 00:00:51,480 The pandemic affected different groups and communities differently. 7 00:00:51,840 --> 00:00:57,720 Lockdown wasn't so tough for people with gardens than it was on those living in apartments with no outside space. 8 00:00:57,990 --> 00:01:03,360 There were also disproportionate impacts measured by ethnicity, gender and geography. 9 00:01:04,200 --> 00:01:10,500 Beth Hammond, Opodo and John Coughlan are both legal scholars, both interested in inequality. 10 00:01:11,130 --> 00:01:14,130 Beth among the POTO and John Coughlan, welcome. Hello. 11 00:01:14,250 --> 00:01:19,740 Thank you. We're talking today about the pandemic and inequality. 12 00:01:20,310 --> 00:01:25,620 There are inevitably going to be some groups more affected by the pandemic than others. 13 00:01:25,830 --> 00:01:29,340 That's almost a matter of logic. Not every group will be affected in the same way. 14 00:01:30,000 --> 00:01:33,210 The question then is what inequalities we should care about. 15 00:01:33,240 --> 00:01:38,100 Now, some people had underlying medical conditions that made them more vulnerable. 16 00:01:38,730 --> 00:01:46,380 But let's start with age inequality. The one thing everybody knows about the pandemic is that it effected old people more than young people. 17 00:01:46,800 --> 00:01:50,700 That's not anybody's fault, is it? That's just a result. Not of discrimination. 18 00:01:50,700 --> 00:01:53,909 It's just a medical fact. Yeah, you're right. 19 00:01:53,910 --> 00:02:01,440 In mentioning that health crises such as pandemics will affect different people in different ways. 20 00:02:01,860 --> 00:02:13,020 The issue that causes, such as myself or John would be interested in is the point at which these variations in outcome become inequities. 21 00:02:13,380 --> 00:02:22,440 So not just inequality in terms of difference of outcome, but where it is unfair and unavoidable. 22 00:02:22,770 --> 00:02:34,409 However, I think I would have in trouble just looking at age in isolation and recognising that age aligns with other systemic locations such as race, 23 00:02:34,410 --> 00:02:38,190 gender. Even where you live is going to affect that. 24 00:02:38,280 --> 00:02:45,090 I think the question directs itself to problems that exist innately to particular people, 25 00:02:45,300 --> 00:02:48,900 rather than suggesting that the products of socially generated conditions. 26 00:02:48,900 --> 00:02:55,980 So we say if you are older. It is a biological matter that you're more likely to be susceptible to harm from the virus. 27 00:02:55,990 --> 00:03:03,030 And one thing I would urge is that we don't allow outright disentanglement of features such as age when we evaluate that. 28 00:03:03,030 --> 00:03:08,969 So surely it's the case that older people were inherently more vulnerable to the more harmful aspects of the disease, 29 00:03:08,970 --> 00:03:11,760 all things equal, including severe illness or death. 30 00:03:11,760 --> 00:03:18,030 But the conditions in which people were living were subject to decisions that were made by political decision makers, 31 00:03:18,030 --> 00:03:19,889 by professionals, by family members, 32 00:03:19,890 --> 00:03:28,650 by carers, and of course, by individuals themselves in circumstances that aren't just reducible to greater or lesser biological susceptibility. 33 00:03:28,890 --> 00:03:30,480 So if we approach these questions, 34 00:03:30,480 --> 00:03:38,570 we need to do so in a social context that cannot just be abstracted from by reference to innate biological vulnerability and by social context. 35 00:03:38,570 --> 00:03:46,530 Do you mean, for example, that obviously many elderly people were in care homes and these didn't necessarily have the equipment they needed? 36 00:03:46,830 --> 00:03:54,650 There was a problem when lots of people were released from hospital and sent back into care home, spreading the disease very rapidly indeed. 37 00:03:54,660 --> 00:03:58,620 So we didn't start from scratch at the beginning of the time of the virus's arrival. 38 00:03:58,860 --> 00:04:00,809 And then there was a collection of individuals, 39 00:04:00,810 --> 00:04:06,950 some of whom were more and some were less susceptible to it just by the process of the generation and spread of disease. 40 00:04:06,960 --> 00:04:09,690 So people had questions around the vulnerability and so on, 41 00:04:09,780 --> 00:04:14,909 determined as well by their environments, the decisions around their environments and so on. 42 00:04:14,910 --> 00:04:19,830 For example, questions of supplies of PPE and so on in care homes are directly relevant to 43 00:04:19,830 --> 00:04:23,400 the level of susceptibility that someone might face regardless of their age. 44 00:04:24,060 --> 00:04:28,410 Yes. So vulnerability, as John is saying, is socially constructed. 45 00:04:28,410 --> 00:04:31,500 So how badly then are impacted? 46 00:04:31,770 --> 00:04:36,740 That's a socially constructed question that goes beyond your biology. 47 00:04:36,750 --> 00:04:42,870 So, for example, there's no particular reason why if you're an older person living in a richer area, 48 00:04:43,140 --> 00:04:48,450 you should have less worse outcomes than if you're an older person living in a deprived area. 49 00:04:48,810 --> 00:04:56,970 But I think the other thing that we wanted to think about was to not make the pandemic special, 50 00:04:57,210 --> 00:05:02,430 as though these problems began with the pandemic and would go away with the pandemic, 51 00:05:02,730 --> 00:05:10,560 or as though these are simply problems of planning and administration, which would have been avoided had there been better planning. 52 00:05:10,830 --> 00:05:19,230 So of course, questions of PPE are extremely important when decisions were made to take people back into care homes, 53 00:05:19,530 --> 00:05:21,390 those are extremely positive questions. 54 00:05:21,750 --> 00:05:31,230 But it's not as though the inequalities or the inequities would have ceased to exist simply by having better planning or better administration. 55 00:05:31,650 --> 00:05:39,900 So I want to get onto that in a minute and also get onto the issue of how these various individual factors are connected. 56 00:05:39,900 --> 00:05:43,740 But we've touched on age. Let's also talk about. 57 00:05:44,620 --> 00:05:54,780 Nicety. One issue about ethnicity and the pandemic was whether ethnicity per say explains the inequality. 58 00:05:54,790 --> 00:05:57,040 Was it really a biological issue? 59 00:05:57,310 --> 00:06:03,340 Or, as seems more likely, might it be, the ethnic minorities are disproportionately poor and that it was the poverty, 60 00:06:03,340 --> 00:06:08,410 not the ethnicity, that really drove a disparity between different ethnic and racial groups. 61 00:06:09,010 --> 00:06:17,229 I hesitate to make those distinctions between race and class or race and income and which one matters more. 62 00:06:17,230 --> 00:06:28,480 Because obviously then your race is more likely to then impact various life outcomes and job opportunities and education and schooling 63 00:06:28,480 --> 00:06:38,020 and so many other things that then determine what sort of cushions and buffers you have to enable you to meet difficult situations. 64 00:06:38,410 --> 00:06:41,740 So I wouldn't want to say, well, it wasn't race, it was income, 65 00:06:42,160 --> 00:06:48,820 because even within poor people or within even working class communities that I know, it's not the same class and income. 66 00:06:49,060 --> 00:06:55,750 But even within that, there's still disparities of who was more likely to be on the front end of the scene. 67 00:06:56,170 --> 00:07:01,180 What you're doing now is one of the things that we were then critiquing in our work. 68 00:07:01,210 --> 00:07:05,530 Taking various axes in isolation. And so we've talked about age. 69 00:07:05,580 --> 00:07:08,860 Now we're talking about race. And we may talk about something else. 70 00:07:09,160 --> 00:07:14,559 It's impossible to really understand these issues without understanding them in how they 71 00:07:14,560 --> 00:07:20,310 commute the junction at which they come together in order to make proper sense of them. 72 00:07:20,320 --> 00:07:25,330 So I hesitate to discuss whether it was race or income. 73 00:07:25,480 --> 00:07:29,200 I would say it's the collision of both of those things. John, you want to come in? 74 00:07:29,530 --> 00:07:35,019 So historically within public health and I should say that I'm a humanities scholar who works in public health, 75 00:07:35,020 --> 00:07:38,739 so I don't engage directly in the epidemiological science on this. 76 00:07:38,740 --> 00:07:44,410 But historically, health inequalities have been examined in particular by reference to socioeconomic position. 77 00:07:44,530 --> 00:07:50,889 So we've looked at gradations of wealth and seeing correlations there between being a 78 00:07:50,890 --> 00:07:55,960 better position socioeconomically and enjoying better health opportunities and outcomes. 79 00:07:56,290 --> 00:08:05,680 What Beth and scholars such as Beth have brought within the ideas of critical public health is an examination along other lines as well. 80 00:08:05,980 --> 00:08:14,410 So the answer isn't that socioeconomic position is irrelevant or cannot explain disproportionately high burdens of ill health, 81 00:08:14,410 --> 00:08:16,990 including in the context of COVID 19. 82 00:08:17,200 --> 00:08:26,230 But we also find other axes across which people have been found more likely to suffer ill health, either directly because of the virus itself. 83 00:08:26,410 --> 00:08:28,059 And their age was a good example. 84 00:08:28,060 --> 00:08:34,630 If you are older, all things equal, you are less likely to survive the disease or go through it with less severe impacts. 85 00:08:35,230 --> 00:08:39,970 But also, for example, along axes of gender, we've seen different impacts. 86 00:08:40,330 --> 00:08:43,350 Men were more susceptible to the virus itself, 87 00:08:43,360 --> 00:08:50,170 but also women have been shown to have suffered a greater burden as a consequence of the pandemic, regardless of socioeconomic position. 88 00:08:50,980 --> 00:08:54,459 But also, when you look at this empirically, because what you're saying is, 89 00:08:54,460 --> 00:09:00,550 is it the fact that people are poor that maybe explains the situation rather than questions of race? 90 00:09:00,850 --> 00:09:07,720 But you can look at people of colour, of higher income who then still faced disproportionate burdens, for example, 91 00:09:08,050 --> 00:09:16,330 medical doctors who were still then facing disproportionate burdens, for example, in the NHS or even beyond. 92 00:09:16,510 --> 00:09:21,130 And so the poverty element does explain something but wouldn't explain fully. 93 00:09:21,400 --> 00:09:27,490 Why is it then that consultants were dying at a higher rate than their white colleagues, for example? 94 00:09:27,640 --> 00:09:28,930 So what would explain that? 95 00:09:29,530 --> 00:09:36,760 Well, I mean, it comes to like worse problems that have existed within the system before the pandemic and after the pandemic. 96 00:09:37,150 --> 00:09:43,120 Even people's voice not being heard when they talk about problems that have existed in the past, 97 00:09:43,450 --> 00:09:47,920 people's expertise not being acknowledged or respected. 98 00:09:48,250 --> 00:09:54,520 So I'm thinking, for example, of consultants who themselves have recorded their own stories, 99 00:09:54,760 --> 00:10:03,140 including one who is recording the story as it was happening and unfortunately later died, where people are not going to be leaving them the door. 100 00:10:03,160 --> 00:10:11,830 And. Well, so I'm thinking of of one of the stories where this medical consultant comes in saying that she has particular symptoms. 101 00:10:12,160 --> 00:10:16,660 She says she's a doctor, take me seriously. And people say, well, you're a drug addict. 102 00:10:16,960 --> 00:10:21,520 And by the time they realise, oh, my goodness, yes, you actually are a medical doctor. 103 00:10:21,760 --> 00:10:25,100 What you're seeing is what is happening. It was way too late. 104 00:10:25,120 --> 00:10:30,040 This sort of issues impacts people of higher income as well as lower incomes. 105 00:10:30,580 --> 00:10:37,360 So we've touched on issues of ethnicity and sex and age. 106 00:10:37,570 --> 00:10:43,510 Let's throw geography into the mix. The difference, for example, between urban and rural or between the south of the country. 107 00:10:43,510 --> 00:10:54,140 In the north. Would you like to comment on that as another factor causing disparities in so far as geography tracks socioeconomic position? 108 00:10:54,170 --> 00:11:01,310 The answer is there reside in the same place. I think one of the issues with the Corona virus and especially the earlier responses to it, 109 00:11:01,320 --> 00:11:09,200 I'm thinking here of restrictions, regulations, including the outright lockdowns, is that they were blanket by their nature. 110 00:11:09,470 --> 00:11:14,870 What we needed to think about and worth thinking about from the start was not just the possible harms of the virus, 111 00:11:14,870 --> 00:11:19,459 but also the harms of the measures that could have been implemented and were implemented. 112 00:11:19,460 --> 00:11:26,270 And that sort of uniformity immediately can strike you as problematic if you imagine the difference between, for example, 113 00:11:26,270 --> 00:11:33,500 regulating somebody in central London or Birmingham or Liverpool and somebody in the rural Southwest, for example. 114 00:11:33,530 --> 00:11:42,349 The conditions differ radically. So you're going to necessarily find unequal impacts of those regulations in a close urban setting. 115 00:11:42,350 --> 00:11:46,730 The opportunity to come across other people is necessarily much higher. 116 00:11:46,820 --> 00:11:52,900 I live in central Bristol and I would go out. The regulations early on were quite open, textured in what they prescribed, 117 00:11:52,910 --> 00:11:57,020 but the understanding advanced by ministers was that you should have about one hour 118 00:11:57,020 --> 00:12:01,130 of recreation a day and I would do that in close proximity to lots of other people. 119 00:12:01,430 --> 00:12:07,070 Do you mean that lockdowns were a fairly crude, blunt instrument and they should have been more nuanced? 120 00:12:07,310 --> 00:12:12,650 They made more sense in more densely populated areas than they did in sparsely populated areas. 121 00:12:12,950 --> 00:12:13,579 I don't mean that. 122 00:12:13,580 --> 00:12:21,500 So having a uniform measure could be justified against uncertainty, the severity of the threat, the fact that the more nuance you provides, 123 00:12:21,500 --> 00:12:25,610 the harder it is both for people who need to follow the regulation and those who need to police it. 124 00:12:25,970 --> 00:12:31,100 The practical effects of blanket measures, especially draconian such as lockdowns, 125 00:12:31,430 --> 00:12:36,260 will be felt differently and have different rationales if you pick into the particular, 126 00:12:36,440 --> 00:12:40,220 for example, of the contrast between an urban and a rural environment. 127 00:12:40,520 --> 00:12:42,349 It doesn't follow from that that they're not justified. 128 00:12:42,350 --> 00:12:49,429 And we also saw as restrictions eased, that the Government moved to a situation of allowing localised lockdowns, 129 00:12:49,430 --> 00:12:56,570 so being more responsive to more local geographical situations and that presented both benefits, 130 00:12:56,720 --> 00:13:01,430 it allowed for a wider opening up of freedoms and also challenges because people would say, 131 00:13:01,430 --> 00:13:05,450 well, how come my neighbour is allowed freedoms that I can't enjoy? 132 00:13:05,720 --> 00:13:09,799 There was a football stadium, the occupied space, both in England and in Wales, 133 00:13:09,800 --> 00:13:14,750 and so we saw a jurisdictional boundary that clearly doesn't make sense. 134 00:13:14,750 --> 00:13:16,450 If you just look at the local. 135 00:13:16,460 --> 00:13:23,000 What I would invite when we reflect on these is for us to consider not doesn't that therefore mean the regulations are stupid, 136 00:13:23,000 --> 00:13:29,090 but rather we think about the challenges of particular differences where general requirements need to 137 00:13:29,090 --> 00:13:35,750 be imposed and the rationale isn't necessarily embarrassed by apparently silly or absurd situations. 138 00:13:35,840 --> 00:13:40,219 But if we have a blanket measure across, for example, the whole of the United Kingdom, 139 00:13:40,220 --> 00:13:47,330 we will find problems and challenges from a regulatory perspective and challenges that individuals could say this doesn't make sense, 140 00:13:47,330 --> 00:13:54,290 but from a population approach and from an approach that is attentive to workable governance may well be the least bad option. 141 00:13:54,650 --> 00:14:00,350 You touched on this earlier, but what's the point of intersection analysis? 142 00:14:00,440 --> 00:14:09,769 Intersectional is a buzz word that is used a lot nowadays, and it means the bringing together of lots of separate factors, 143 00:14:09,770 --> 00:14:17,170 not just ethnicity or class or geography, but thinking about issues of inequality in the ground. 144 00:14:17,810 --> 00:14:23,750 Best intersectionality. Why does that matter when we're talking about inequality? 145 00:14:23,750 --> 00:14:29,330 In regard to the pandemic, the concept has been there for a long period of time. 146 00:14:29,690 --> 00:14:35,210 Black feminists. Well, first of all, the term was coined by black feminist Kimberlé Crenshaw, 147 00:14:35,420 --> 00:14:43,640 and they're the ones who have really done a lot to help us understand the ways in which various axes of power and oppression 148 00:14:43,970 --> 00:14:54,110 collude in order to create these systems of domination and intersectionality when it began was actually quite a radical idea, 149 00:14:54,410 --> 00:14:59,420 an idea that's helped to then show, for example, within the context of feminism, 150 00:14:59,720 --> 00:15:05,770 that while all women were subjugated, the inequalities did not fall in the same way. 151 00:15:05,780 --> 00:15:15,320 So using examples within African American women and the ways in which those differences between white women and women of colour in general, 152 00:15:15,710 --> 00:15:22,130 but in terms of what is its usefulness and gender and I have this table that we quite enjoy that was 153 00:15:22,130 --> 00:15:28,400 created by the Townsend Centre for International Poverty Research at the University of Bristol, 154 00:15:28,640 --> 00:15:32,990 which sort of critiques the ways in which inequalities are dealt with. 155 00:15:32,990 --> 00:15:39,470 Just give me one example. Yes, the table responded to the then chief medical officers in 1999. 156 00:15:39,530 --> 00:15:42,860 The chief medical officer issued ten tips for better health. And they. 157 00:15:43,320 --> 00:15:49,710 Call it very individually focussed advice around behaviours. So don't smoke or if you can stop if you can't cut down. 158 00:15:49,890 --> 00:15:54,090 Follow a balanced diet with plenty of fruit and vegetable. Keep physically active and so on. 159 00:15:54,390 --> 00:15:58,290 And the alternative tips were advanced really to satirise, 160 00:15:58,290 --> 00:16:04,109 but also really explain how we have to incorporate systemic thinking into our understandings here. 161 00:16:04,110 --> 00:16:08,730 So it offers advice such as Don't be poor. If you are poor, try not to be poor for too long. 162 00:16:08,970 --> 00:16:14,990 Don't live in a deprived area if you do move. And it's trying to articulate exactly what Beth is saying, 163 00:16:15,000 --> 00:16:20,159 these questions of power dynamics and the structures around you that the saying just choose health if you want. 164 00:16:20,160 --> 00:16:25,260 Health is not either helpful advice or even meaningfully actionable advice. 165 00:16:25,620 --> 00:16:32,099 Yeah. And when it comes to place, for example, there seemed to be a lot of if you live in an overcrowded flat, 166 00:16:32,100 --> 00:16:34,980 just move to a place where you have a green garden, 167 00:16:35,340 --> 00:16:42,810 that sort of narrative that first of all, individual faces and kind of puts responsibility just on the person. 168 00:16:43,050 --> 00:16:44,460 It doesn't go far enough. 169 00:16:44,760 --> 00:16:53,700 Whereas intersectionality would then enable us to then think about what was the impact, for example, on austerity in creating where people live. 170 00:16:54,030 --> 00:17:00,120 How has decades of austerity colluded with racism, with patriarchy? 171 00:17:00,120 --> 00:17:07,770 Which then means that certain people are more likely to live in overcrowded, mouldy, disgusting housing and so on. 172 00:17:08,400 --> 00:17:19,050 When we reflect on inequality, we tend to think in terms of the pandemic stats themselves who's died from the pandemic, who's living with long COVID, 173 00:17:19,560 --> 00:17:30,690 etc. But of course, pandemic decisions such as lockdown had effects elsewhere in the system, on the economy, on other areas of health. 174 00:17:31,050 --> 00:17:37,080 Can you comment on how inequalities cropped up in these other areas of life as a result of the pandemic? 175 00:17:37,350 --> 00:17:40,200 I think that's such an important point. 176 00:17:40,200 --> 00:17:46,979 And again, throughout we've been very interested not just to look at the effects and the probable future effects of the virus. 177 00:17:46,980 --> 00:17:51,430 And there you might look at unequal susceptibility as we were discussing right at the start. 178 00:17:51,430 --> 00:17:54,209 And for example, when you're thinking about your vaccine rollout, 179 00:17:54,210 --> 00:18:01,080 you might prioritise by reference to susceptibility to harm and capacity to benefit against the virus itself. 180 00:18:01,380 --> 00:18:05,730 But because of the nature of the interventions that have been implemented, 181 00:18:06,030 --> 00:18:12,510 it's been really important as well to consider the harms caused by policies caused by decisions themselves. 182 00:18:12,780 --> 00:18:18,210 Of course we hear lots of framing of health versus the economy or the economic harms of lockdowns and so on. 183 00:18:18,450 --> 00:18:26,939 This isn't to discount that discussion, but even more subtly, but no less importantly, we have health trade-offs within the pandemic decision making. 184 00:18:26,940 --> 00:18:31,559 So in order to provide protections against the harms of coronavirus, there are other costs. 185 00:18:31,560 --> 00:18:35,730 And we've seen this play out in relation, for example, to NHS waiting lists. 186 00:18:35,730 --> 00:18:43,680 We saw redeployment of staff within the NHS, which meant the other harmful, including lethal health conditions were being deprioritized. 187 00:18:43,950 --> 00:18:47,939 And then more widely, as you've said, we've got health, for example, against economic goals. 188 00:18:47,940 --> 00:18:52,560 We've seen education compromised all sorts of wider impacts. 189 00:18:52,710 --> 00:19:02,070 Now when we are assessing either the question of coronavirus itself or the unequal impacts of measures that might be instituted in response to it, 190 00:19:02,430 --> 00:19:10,680 it's important to think about real experience inequality as opposed just a sort of formal equality of opportunity against it. 191 00:19:10,680 --> 00:19:14,790 So it's no good saying everyone was free to go out and create, as Beth has indicated, 192 00:19:14,790 --> 00:19:19,050 that freedom wasn't universally shared, it permitted of different degrees. 193 00:19:19,350 --> 00:19:25,080 So in our evaluation in the round, I think it's extremely important that we don't just commit to a formal equality. 194 00:19:25,380 --> 00:19:32,010 I think this is where the idea that while we face the same storm, we were not in the same boat. 195 00:19:32,520 --> 00:19:37,530 You remember the beginning of the pandemic, especially the first lockdown. 196 00:19:37,950 --> 00:19:43,439 There was this constant refrain, as do we're all in it together when actually we weren't. 197 00:19:43,440 --> 00:19:47,190 And that became more and more clear as time went on. 198 00:19:47,190 --> 00:19:54,570 We know, for example, one of the harms that came out of the measures was an increase in domestic violence in the first pandemic. 199 00:19:54,780 --> 00:20:02,999 Food poverty, which was already bad enough before we went into the lockdowns, became even worse, and so on and so forth. 200 00:20:03,000 --> 00:20:11,130 And just the inequalities of that in terms of how work is shed in the home or how caring responsibilities are understood, 201 00:20:11,610 --> 00:20:15,780 have become even less to be generous to the people who are making decisions, 202 00:20:16,080 --> 00:20:22,860 especially at the beginning there was a lot that was unknown and I hate to use the word unprecedented, 203 00:20:23,220 --> 00:20:30,330 but then there was a lot that actually could have been foreseen, and there was a lot that they should have paid greater attention to. 204 00:20:30,390 --> 00:20:36,299 The point I keep coming back to that myself and John have been making in our work is that it's really important 205 00:20:36,300 --> 00:20:43,230 to realise that these questions existed before the pandemic and still exist even now when we've gone back. 206 00:20:43,340 --> 00:20:45,080 To normal, whatever that means. 207 00:20:45,380 --> 00:20:55,310 And so it's also about thinking about what was it that you were doing prior to the pandemic to create those spaces and opportunities to think about, 208 00:20:55,310 --> 00:21:01,490 to measure, to talk about, to quantify multiple inequalities and nobody saying it's easy. 209 00:21:01,490 --> 00:21:06,950 It's not supposed to be easy. That's the whole point. It's supposed to move away from a simplistic approach, 210 00:21:06,950 --> 00:21:13,669 but that's where the culpability comes in as to what was happening before the pandemic and what's happening now since then, 211 00:21:13,670 --> 00:21:18,440 as we think about perhaps another pandemic, well, let's finish on that point. 212 00:21:18,440 --> 00:21:21,680 We've been discussing disparities, differences between different groups. 213 00:21:22,160 --> 00:21:26,360 Let me ask this. So what question? What follows from this analysis? 214 00:21:26,360 --> 00:21:32,990 What are the policy implications? Are there lessons for how governments and public bodies should respond to future pandemics? 215 00:21:33,500 --> 00:21:38,670 I actually think that governments need to think about their responses even prior to future pandemics. 216 00:21:38,690 --> 00:21:45,410 What the pandemic showed was the value that needs to be placed on health and public health systems. 217 00:21:45,950 --> 00:21:47,959 What it also showed, as Beth has indicated, 218 00:21:47,960 --> 00:21:56,120 is that we had systematised health harms built into the fabric of decision making and policy making and policy processes. 219 00:21:56,600 --> 00:22:01,550 So we need to learn from the pandemic and be better prepared for next time what might occur. 220 00:22:01,760 --> 00:22:07,700 But the different susceptibilities and so on that we have seen are not just going to sit latent in the meantime, 221 00:22:07,700 --> 00:22:15,050 harmlessly taking over until such time as another outbreak occurs or a new variant comes along of the coronavirus. 222 00:22:15,140 --> 00:22:20,300 We need to ask ourselves what it is about health we value and why. 223 00:22:20,780 --> 00:22:28,040 How control is held over health because we don't want to rob individual agency or deny the idea that people do, 224 00:22:28,040 --> 00:22:31,939 can and should have decision making power in relation to their own lives. 225 00:22:31,940 --> 00:22:40,370 But we also need to recognise the junctions at which the decision making of others, the actions of institutions also influence people's health, 226 00:22:40,640 --> 00:22:44,720 their opportunities for health, but also their health outcomes in ways that they cannot touch. 227 00:22:45,230 --> 00:22:48,950 Yes, that means learning lessons in relation to infectious disease, 228 00:22:49,280 --> 00:22:54,870 but it also applies to the way our environment's impacts our mental health and wellbeing. 229 00:22:54,870 --> 00:22:59,300 It applies to questions of what we consume, how and why and so on. 230 00:22:59,570 --> 00:23:07,400 Public health policy ought not to be too disentangled from emergency situations and the rest because they're all part of each other. 231 00:23:07,550 --> 00:23:15,860 Beth. Yeah, I think one of the key lessons that needs to be learnt is the need for more robust deliberations. 232 00:23:16,220 --> 00:23:26,990 So if health harms and health inequalities are baked into the system, then surely now is the time to have those discussions and deliberations. 233 00:23:27,350 --> 00:23:33,260 That points out in what way are these harms baked into the system and what is it that can be done about this? 234 00:23:33,590 --> 00:23:42,950 So as colleagues, one of the things that we have supported were the calls for the COVID public inquiry, and we look forward to seeing how that goes. 235 00:23:43,220 --> 00:23:48,379 And also part of our work was to create frameworks that had questions that 236 00:23:48,380 --> 00:23:53,510 enable people to be able to have more robust conversations around these things. 237 00:23:53,780 --> 00:24:03,800 So for example, one of the questions that we offered to policymakers is whose care is seen as the type of care that can be left waiting? 238 00:24:04,190 --> 00:24:06,620 You know, they'll always be difficult decisions to make, 239 00:24:06,620 --> 00:24:12,890 difficult privatisations to be made within the context of a pandemic before, during and after. 240 00:24:13,190 --> 00:24:20,269 But it then enables us to think about is it the same sort of people who are always asked to put their own health 241 00:24:20,270 --> 00:24:27,919 care or mental health or other forms of care lost who's always falling through the cracks was always being told, 242 00:24:27,920 --> 00:24:36,620 it's not your turn. And so these sorts of questions would really lead to just a more robust thinking in preparation for the next pandemic. 243 00:24:36,860 --> 00:24:40,340 I hope we don't have one, but the science says that will probably will. 244 00:24:41,060 --> 00:24:44,810 Bethke among Opodo and John Cogan, thank you very much. Thank you. 245 00:24:44,840 --> 00:24:52,990 Thank you. Thanks for listening to the Pandemic Ethics Accelerator podcast. 246 00:24:53,560 --> 00:24:57,670 You can hear more in this six part series on University of Oxford Podcasts. 247 00:24:57,940 --> 00:25:00,670 Well, that's Pandemic Ethics dot UK.