1 00:00:00,950 --> 00:00:06,800 Public health responses are quite blind to the realities of those who are most marginalised. 2 00:00:06,800 --> 00:00:15,000 And what happens is that then this results in a different kind of humanitarian crisis and then further increases and exacerbates injustices, 3 00:00:15,000 --> 00:00:21,260 structural injustices and structural inequalities. Hello, I'm Katrien Devolder. 4 00:00:21,260 --> 00:00:27,770 This is thinking out loud conversations with leading philosophers from around the world on topics that concern us all. 5 00:00:27,770 --> 00:00:32,000 This is a special edition on ethical questions raised by the Corona pandemic. 6 00:00:32,000 --> 00:00:40,190 In this video, I talk to Dr Agomoni Ganguli-Mitra, about the social justice aspects of pandemics. 7 00:00:40,190 --> 00:00:44,510 Thanks very much for taking the time to do this interview, 8 00:00:44,510 --> 00:00:52,000 and so much of your work focuses on ethical issues arising from social injustices and inequalities. 9 00:00:52,000 --> 00:00:59,600 How are these issues relevant to outbreaks of epidemics or pandemics? 10 00:00:59,600 --> 00:01:01,000 Yes, thank you very much for having me. 11 00:01:01,000 --> 00:01:11,000 It has been shown that pandemics will, and epidemics, any kind of global health emergencies, will affect people differently. 12 00:01:11,000 --> 00:01:18,050 And these will exacerbate they will magnify existing social and health inequalities. 13 00:01:18,050 --> 00:01:23,000 Those who are already disadvantaged or marginalised would be hit more severely. 14 00:01:23,000 --> 00:01:29,000 And these crises will then create new inequalities and new vulnerabilities. 15 00:01:29,000 --> 00:01:36,000 And this will in turn, of course affect people's ability to access care. 16 00:01:36,000 --> 00:01:44,000 So they might be more adversely affected within the systems of triage or allocation if somewhere down the line, 17 00:01:44,000 --> 00:01:53,000 we haven't thought about who they are, where they are situated in society before they come to us in terms of health care, health care system. 18 00:01:53,000 --> 00:02:02,000 So can you make that a little bit more concrete? So how would they be affected in triage, for example? If we decide that, decide 19 00:02:02,000 --> 00:02:08,010 for example, that triage is based on first come, first serve serve basis. 20 00:02:08,010 --> 00:02:15,000 If you have somebody with a disability or issues with mobility, for example, this affects your ability to access health care in the first place. 21 00:02:15,000 --> 00:02:22,560 They'll never be the first one to access health care. And therefore, there will be a pattern of discrimination within the triage system. 22 00:02:22,560 --> 00:02:26,640 If we are not attuned to the fact that people with disability or mobility issues, 23 00:02:26,640 --> 00:02:31,000 for example, will have more obstacles to face in terms of accessing health care. 24 00:02:31,000 --> 00:02:38,940 Similarly, in our public health responses and policies, if these are not attuned to the social determinants of health, 25 00:02:38,940 --> 00:02:46,590 to existing structural inequalities and things like racial, gender, path based discrimination, 26 00:02:46,590 --> 00:02:51,000 they'll end up reinforcing those social and structural inequalities. 27 00:02:51,000 --> 00:02:55,000 So how would that work? How would they reinforce these inequalities? 28 00:02:55,000 --> 00:03:04,000 So I can give you some examples maybe from an area, that is, how pandemics or outbreaks are always gendered. 29 00:03:04,000 --> 00:03:13,000 So if we think about the 2014 2016 Ebola outbreak, women were far more susceptible for many reasons. 30 00:03:13,000 --> 00:03:21,150 They were more susceptible in their role as carers. They were closer to people with the illness. 31 00:03:21,150 --> 00:03:26,760 There was an increased vulnerability to sexual and other kinds of violence, especially in context of conflict. 32 00:03:26,760 --> 00:03:29,000 There was also a rise in, for example, 33 00:03:29,000 --> 00:03:40,000 in maternal deaths as resources were deviated and allocated to fighting Ebola rather than to the other broader health care issues 34 00:03:40,000 --> 00:03:47,460 existing there. There was a decrease in childhood vaccination rates, which meant that when these children got ill, 35 00:03:47,460 --> 00:03:53,000 mothers had to stay home to care, take care of them. There are also examples from the Zika outbreak. 36 00:03:53,000 --> 00:04:04,200 Early on in that outbreak, there was a policy response to tell women to access contraception, to avoid pregnancies. 37 00:04:04,200 --> 00:04:12,000 And this was done in a context where women have very little autonomy over their own productive and sexual health and choices. 38 00:04:12,000 --> 00:04:19,000 Some of the most disadvantaged women would not have had access to contraception, and will certainly not have had access to abortion. 39 00:04:19,000 --> 00:04:31,000 And yet the policy really responsibilised them to avoid passing on the infection to their potential children, to avoid congenital zika syndrome. 40 00:04:31,000 --> 00:04:39,960 And so there will be examples from the current COVID crisis as well as we fight against this virus. 41 00:04:39,960 --> 00:04:44,000 So, for example, early on, there are worries about the lockdown, 42 00:04:44,000 --> 00:04:50,190 women not being able to access contraception, not being able to access, importantly, abortions. 43 00:04:50,190 --> 00:04:59,000 There are also worries about women being subjected to increased violence within the home space in the UK, but also worldwide. 44 00:04:59,000 --> 00:05:06,210 And the lockdown, women being forced to live in constrained situations with their abusers and also the 45 00:05:06,210 --> 00:05:10,740 fact that the women's aid sector has been hit quite hard by austerity measures. 46 00:05:10,740 --> 00:05:16,260 He said there are fewer measures of support that we can provide women who will be in these situations. 47 00:05:16,260 --> 00:05:25,000 There will be also worries around the fact that women are in the frontlines of this fight against the virus, not only as nurses in hospitals, 48 00:05:25,000 --> 00:05:34,650 but also as staff in care homes where there is a considerable shortage of protective personal protective equipment. 49 00:05:34,650 --> 00:05:38,730 So these are some examples from the UK. There are also many examples worldwide. 50 00:05:38,730 --> 00:05:44,000 So if I can just take one example from India, the lockdown came on rather suddenly. 51 00:05:44,000 --> 00:05:52,000 So everything, shops, transport, etc were all closed down within hours of the announcement of the lockdown. 52 00:05:52,000 --> 00:06:02,040 This meant that given that a large percentage of the workforce in India are migrant labourers they were then left stranded without livelihood's, 53 00:06:02,040 --> 00:06:11,770 without hope. And within that, women who work in India are also a majority of them work as within the informal sector. 54 00:06:11,770 --> 00:06:18,000 Right. So they will work as day labourers. They'll work as cleaners and cooks in other people's homes. 55 00:06:18,000 --> 00:06:24,860 And of course, all these income sources would then be closed would then be closed for. 56 00:06:24,860 --> 00:06:30,060 And so there'll be much more heavily hit by measures such as lockdowns. 57 00:06:30,060 --> 00:06:32,000 And so what we see, unfortunately. 58 00:06:32,000 --> 00:06:40,270 is that there is the fact that public health responses are quite blind to the realities of those who are most marginalised. 59 00:06:40,270 --> 00:06:48,640 And what happens is that then this results in a different kind of humanitarian crisis and then further increases and exacerbates injustices, 60 00:06:48,640 --> 00:06:53,230 structural injustices and structural inequalities, gender being one of those examples. 61 00:06:53,230 --> 00:06:58,000 But of course, this will apply across race, class, disability and other minorities. 62 00:06:58,000 --> 00:07:07,750 Well. What could be the explanation for why there is so little attention being paid to this major problem? 63 00:07:07,750 --> 00:07:14,890 I think if we look at public health measures, we're quite used to look at looking at demonology as numbers or statistics without 64 00:07:14,890 --> 00:07:22,240 necessarily looking at the differentials between between people and how they're situated. 65 00:07:22,240 --> 00:07:25,780 We think about life saves, life saved, 66 00:07:25,780 --> 00:07:31,120 but we'd think less about which life is being saved and whether there's a pattern of discrimination, for example. 67 00:07:31,120 --> 00:07:38,200 There is not also potentially enough ethical and social justice discourse discussion within 68 00:07:38,200 --> 00:07:43,420 how policy is being made within different models of responses that are being discussed. 69 00:07:43,420 --> 00:07:49,130 We tend to think about ethics quite narrowly in terms of access to health care, 70 00:07:49,130 --> 00:07:54,310 end of life decisions, event access to ventilation and things like that. 71 00:07:54,310 --> 00:08:01,810 But perhaps we're less attuned to thinking about the broader social justice aspects of 72 00:08:01,810 --> 00:08:05,950 how we should think about policies and how we should think about ethics in this context. 73 00:08:05,950 --> 00:08:11,000 So do you have any sort of idea about what ought to be done to address these problems? 74 00:08:11,000 --> 00:08:16,000 What we need to do is to start thinking about this far earlier than we have so far. 75 00:08:16,000 --> 00:08:22,620 So when we start thinking about modelling pandemics, when we start thinking about various scenarios, 76 00:08:22,620 --> 00:08:30,280 whether when we start thinking about pandemic planning, that absolutely has to be a systematic consideration of these aspects, 77 00:08:30,280 --> 00:08:35,000 both in the ways in which the pandemic will affect various parts of the population, 78 00:08:35,000 --> 00:08:41,620 but also how our responses will then affect these individuals, these groups and populations. 79 00:08:41,620 --> 00:08:47,650 These are not just numbers. These are people who are situated differently in society with more or less privilege. 80 00:08:47,650 --> 00:08:52,300 And this has to be taken into account. Also, quite importantly, we need to hear these voices. 81 00:08:52,300 --> 00:08:58,120 There is not enough in terms of representation of marginalised people, 82 00:08:58,120 --> 00:09:05,560 of women or people of various ethnic backgrounds and disabilities and so on, other minorities as well. 83 00:09:05,560 --> 00:09:08,780 We have to do this early on and we have to do it systematically. 84 00:09:08,780 --> 00:09:17,860 So it's not to create further injustice and to exacerbate already existing social and structural disadvantage. 85 00:09:17,860 --> 00:09:35,059 If you like this video. Don't forget to subscribe to the practical Essex channel and the Thinking Out Loud Facebook page.