Episode Transcript
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Hello and welcome to Going Macro (00:07):
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on Micro, the podcast where we (00:09):
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explore emerging themes in (00:11):
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microbiology. (00:12):
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Brought to you by
Beckman-coulter. (00:14):
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I am your host, Doctor Julie Ann (00:15):
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Lough, a science communicator, (00:17):
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passionate about sharing stories (00:19):
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exploring the future of health (00:20):
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and science. (00:22):
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In this, our second series, we (00:23):
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continue to explore the concept (00:25):
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of One health, an integrated (00:27):
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approach that recognizes that (00:29):
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the health of people, animals, (00:31):
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and ecosystems are all (00:33):
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interconnected. (00:35):
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As we confront the challenges
like pandemics and antibiotic (00:37):
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resistance, it's evident that no
one exists in a vacuum. (00:40):
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We are all in this together. (00:45):
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In this episode, we will explore
the role of environmental (00:47):
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surveillance in One Health. (00:51):
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Joining me for this episode is (00:53):
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Doctor Andrew Lee, a senior (00:55):
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research fellow in microbiology (00:57):
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at Queen's University Belfast in (00:58):
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the UK. (01:00):
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His research focuses on
environmental sampling as a tool (01:02):
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in epidemiology and its use in
monitoring the emergence of (01:05):
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antimicrobial resistance, or AMR
and other pathogens. (01:09):
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Doctor Lee, welcome to going
Macro on Micro. (01:14):
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Hello and thanks for having me. (01:17):
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No, absolutely welcome. (01:18):
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First off, for those listeners (01:20):
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who may not have tuned in to our (01:22):
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first series, and I highly (01:24):
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encourage you to do so, there (01:26):
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are some fantastic content (01:27):
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there. But if you haven't (01:28):
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listened yet, Doctor Lee, can (01:30):
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you briefly tell us what the One (01:32):
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Health Concept entails and why (01:35):
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it's critical to today's health (01:37):
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landscape? (01:38):
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I think you've you've already
done it justice there in your (01:39):
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introduction, uh, briefly, it
can be summarized quite simply (01:42):
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as everything is connected. (01:46):
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But if we want to elaborate on (01:48):
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that a little bit, it's, it's, (01:50):
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it's realizing that not just us, (01:51):
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but all the other animals, all (01:54):
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the plants and the myriad of (01:56):
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other biotic and abiotic (01:57):
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elements in our various shared (01:59):
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ecosystems or global environment (02:01):
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are fundamentally (02:03):
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interconnected. (02:04):
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And a lot of this has come about (02:05):
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because, I mean, there has been (02:07):
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unprecedented human impact on (02:09):
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the environment in recent (02:11):
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centuries. (02:12):
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We have been lucky to have (02:13):
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formidable transformations that (02:15):
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really have changed our lives, (02:17):
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such as industrialization, (02:19):
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urbanization, you know, (02:21):
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globalization. (02:22):
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But with that, other things have
suffered. (02:23):
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And that is despite those those (02:26):
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big strides we have made that (02:29):
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have advanced health quite (02:30):
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markedly. (02:32):
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This has also caused, um, other
aspects that are obviously (02:33):
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interlinked with that to suffer. (02:39):
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We're acutely aware that climate (02:41):
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change is accelerating. (02:43):
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Biodiversity is declining, and (02:46):
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we have global conflicts, war, (02:48):
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um, we have crisis of food (02:50):
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insecurity and fresh water (02:52):
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scarcity. (02:54):
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Um, and then along with all
those problems, it is the impact (02:55):
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then of infectious disease, both
new and re-emerging (03:00):
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non-communicable diseases and of
course antimicrobial resistance. (03:03):
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So, while we evolve, while we (03:09):
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move forward, well, some people (03:11):
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may not agree with how, you (03:13):
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know, human society has has (03:15):
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moved in the strides that we (03:17):
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have made. (03:18):
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You know, uh, at the
technological level, scientific (03:19):
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level, what have you. (03:22):
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But, you know, we are having an
impact on the environment. (03:24):
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And and it's critical that the
listeners understand that. (03:26):
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Yeah. (03:31):
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I think that's a really good (03:32):
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point, isn't it, that like, (03:32):
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while some people might disagree (03:34):
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on the science of it or might (03:36):
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not like to acknowledge climate (03:38):
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change, the reality is, is (03:39):
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there, you know, the environment (03:41):
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is having an impact on human (03:42):
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health. (03:44):
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And likewise, human activity is (03:44):
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having an impact on animal (03:46):
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health and things like (03:48):
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antimicrobial resistance. (03:49):
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So you mentioned there a little (03:51):
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bit about the environment and (03:52):
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your expertise lies in (03:54):
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environmental microbiology, and (03:55):
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I really want to explore the (03:57):
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role of the environment in One (03:59):
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health. (04:01):
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So how do environmental factors (04:01):
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influence the spread of zoonotic (04:03):
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diseases? (04:05):
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Quite simply, we've seen the (04:06):
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emergence or re-emergence of of (04:08):
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zoonotic pathogens that we know (04:11):
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about and those that are new in (04:12):
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the horizon. (04:15):
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And that's all been accelerated (04:16):
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by our increased global (04:17):
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motility, mobility, even, um, (04:19):
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and the aforementioned climate (04:22):
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change. (04:24):
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Our population is always getting
bigger global population. (04:25):
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And, you know, agricultural
practices have obviously changed (04:28):
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to keep pace with a growing
population, a growing demand. (04:33):
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If we try to squeeze so much (04:37):
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more into a defined space that (04:39):
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we're going to have an impact on (04:41):
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the environment and we're going (04:43):
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to influence the environment, (04:44):
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and then in turn, that (04:46):
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environment is going to bite (04:47):
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back. (04:49):
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And so, you know, you know, that
climate change that people Will (04:49):
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agree disagree with. (04:53):
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Quite frankly, I'll be honest. (04:55):
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I don't care whether you
disagree with it. (04:57):
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It's still happening. (04:59):
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I mean, you can talk to people
on the ground. (05:01):
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You can talk to fishermen that (05:03):
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are actually interfacing with (05:04):
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the environment daily because (05:06):
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it's their lifeblood, their (05:07):
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living. (05:08):
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And you'll probably find that
they'll just bluntly tell you (05:09):
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how it is. (05:13):
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Um, and so all those changes,
those impacts that we're having (05:14):
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on the environment will
ultimately influence how (05:18):
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zoonotic disease is spread. (05:22):
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And so, you know, you have large
scale agriculture of chickens (05:24):
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and all that. (05:27):
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And so with that comes the risk (05:27):
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of potentially, you know, high (05:29):
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path avian influenzas, uh, (05:30):
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getting into the food chain or (05:33):
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infecting ourselves. (05:35):
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And then you have the spread of, (05:37):
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of, um, insects that carry with (05:39):
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them various diseases that are (05:41):
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transmitted, uh, to, to us (05:43):
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humans. (05:45):
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And of course, here I'm talking
about like, tick borne diseases, (05:45):
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mosquitoes, things like that. (05:49):
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There you know. (05:51):
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We just have to be
acutely aware of that and not (05:51):
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live in our own little bubble. (05:54):
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Yeah. (05:55):
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And as you were saying, the
environment will will start to (05:56):
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bite back a bit as we encroach
on it more and more. (05:58):
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And I think some people have (06:01):
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become more aware of zoonotic (06:02):
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diseases. (06:03):
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You know, obviously COVID was a
classic example. (06:04):
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We're seeing bird flu has gone (06:06):
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into other species and back (06:10):
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again. (06:12):
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And there might be mutations
there. (06:12):
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And that we need to keep an eye
on that from that point of view (06:14):
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because of that close proximity
between different species. (06:16):
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Given I suppose that one health (06:20):
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then is inherently (06:22):
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multidisciplinary, you know, (06:23):
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it's not just microbiologists, (06:24):
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it's not just human people, it's (06:26):
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animal people, (06:27):
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It's environmental people. (06:27):
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What are your experiences, then, (06:29):
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in collaboration between the (06:31):
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different sectors, such as maybe (06:32):
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health and environmental (06:34):
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science? (06:35):
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Obviously during, um, the the (06:36):
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period of the COVID pandemic and (06:39):
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what we did here in Northern (06:41):
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Ireland, running the wastewater (06:43):
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surveillance programme, we (06:44):
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obviously had to work with a lot (06:46):
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of partners, um, across (06:48):
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disciplines that that previously (06:50):
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we may not have crossed paths (06:52):
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on. (06:53):
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We grew those collaborations we
had with the clinicians, with (06:54):
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the people in the health sphere
that we had worked quite closely (06:57):
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with before then. (07:00):
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And those worked perfectly,
seamlessly, um, data sharing, (07:01):
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all that, um, helping each other
out with little problems and (07:06):
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bits and pieces. (07:09):
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And that's continued on still
now the present day. (07:10):
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Um, and, and that's been
fantastic. (07:13):
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But then we had to interface,
uh, and likewise they had (07:15):
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interface back with the physical
sectors, the infrastructure (07:18):
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sectors. Dealing with the water
provider and all of that there. (07:22):
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And so there was a learning
curve for everyone through it (07:25):
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all that that was quite steep. (07:29):
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The fact that one health has this
core at it is interconnected. (07:32):
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Then whenever you're you're
doing this sort of environmental (07:36):
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monitoring that cannot be on its
own, you're interconnected. (07:39):
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You're automatically then (07:42):
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plugging straight in to all the (07:43):
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other, um, sectors within the, (07:45):
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you know, the within government, (07:49):
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within society. (07:51):
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And you know, science is a is a
collaborative effort. (07:52):
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So it is let's be honest. It (07:55):
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always has been and it always (07:57):
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will be. (07:59):
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And and so it has been (07:59):
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interesting seeing those (08:01):
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relationships grow and, and how (08:03):
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we've it's been good to be able (08:05):
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to keep those established as (08:07):
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well. (08:08):
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Indeed long may it continue. (08:09):
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And I wonder as well, I suppose
if you're dealing with (08:10):
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government agencies, maybe
wastewater, water companies, (08:13):
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people who would never
traditionally have been involved (08:16):
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in health research as well. (08:18):
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So that's probably been quite a (08:19):
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steep learning learning curve (08:20):
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for them. (08:22):
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You mentioned there about (08:23):
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environmental sampling and you (08:24):
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talked a lot about wastewater (08:26):
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sampling. (08:27):
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Can you talk us just maybe for
the listener who isn't familiar (08:28):
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with wastewater sampling, what
it involves, what sort of things (08:31):
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you're looking for, and other
types of environmental sampling (08:34):
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that you might do. (08:38):
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Our research group grew out of (08:39):
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the meeting that immediate need (08:41):
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to do wastewater surveillance (08:43):
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before clinical testing was able (08:44):
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to ramp up and keep pace with (08:46):
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that. (08:48):
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And that was the same even
across all the First Nations. (08:48):
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You know, if you if you want to
put it that way, the most (08:52):
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developed nations wastewater
testing was immediately adopted (08:54):
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to fill any and plug any gaps
that we had in our information, (08:58):
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in our knowledge sphere around
the progression of SARS-2. (09:03):
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And although we started out as a (09:06):
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wastewater surveillance group, (09:08):
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we very quickly have evolved (09:09):
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into what we call an (09:11):
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environmental epidemiology (09:13):
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group. (09:15):
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So we don't just now look at
wastewater, we look at any type (09:15):
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of environmental sample that you
can care to think of. (09:19):
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So we we do air sampling, (09:21):
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freshwater marine water sampling (09:23):
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and of course wastewater (09:26):
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sampling, which is is how we (09:28):
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started out in is our bread and (09:29):
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butter. (09:31):
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What the listener probably maybe
doesn't know is that when you (09:32):
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get those samples, there's quite
a bit of front end work or (09:36):
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processing that you need to do
to initially get that sample (09:40):
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into a format where you can
start to analyze it, (09:45):
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extract that meaningful data
from it. (09:48):
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And if we use wastewater as an
example, we would get our raw (09:50):
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wastewater at the inlet to the
wastewater treatment plant. (09:54):
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And before it's undergone any (09:57):
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treatment or anything like that (09:59):
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there. (10:00):
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This is this is a representative
sample of what the community is, (10:00):
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Yeah, (10:04):
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well peeing and pooping out so (10:05):
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and so, you know. People (10:07):
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probably have this image in (10:08):
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their head of what that might (10:10):
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look like. (10:11):
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But to be honest with you, it's
not as disgusting as you might (10:11):
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first envisage it. (10:14):
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It just looks like a very muddy
rainwater sample. (10:16):
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When we get that sample, then (10:19):
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there's a few steps we have to (10:21):
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go through (10:22):
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first of all, with it and that. (10:22):
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So the first thing that we do is
we would clarify that sample, (10:24):
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which is the scientific term,
because we all like to have (10:27):
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different terms for everything,
of simply removing any solid (10:30):
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material that may be in that. (10:33):
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And that's, you know, uh, sand,
grit, dirt, anything you want to (10:35):
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care to mention, (10:39):
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Toilet paper, (10:40):
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there'll be some of that in
there, no doubt. (10:41):
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And, uh, then we need to
concentrate that out going. (10:42):
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And there's a variety of methods (10:45):
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in different groups doing this (10:47):
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have their own different (10:49):
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approach as to how to to (10:49):
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concentrate that down, to get at (10:51):
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the, uh, get enough of that (10:53):
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nucleic acid, that DNA, that RNA (10:55):
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that we're interested in, that (10:57):
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that gold, if you will, that's (10:58):
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in in the wastewater sample that (11:00):
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we then purify and that we can (11:02):
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then analyze by a variety of, of (11:05):
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molecular means, both PCR based (11:07):
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non PCR based and and (11:10):
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sequencing obviously. (11:12):
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We we like to sequence
all our samples, (11:13):
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and see what's present in there. (11:16):
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So it's quite a substantial (11:18):
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amount of work and it's the RNA (11:19):
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and DNA that you're looking at (11:21):
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primarily. (11:22):
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So you're looking at those (11:22):
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microbiological samples and, and (11:23):
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sequencing. (11:26):
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Are you looking for other small
molecules like macromolecules? (11:27):
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Are you looking for anything
else or are you purely just (11:31):
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looking at RNA and DNA? (11:33):
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So yeah, I mean we look for (11:35):
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those those biological (11:36):
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indicators. (11:38):
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And for the longest time we of
course focused on that genetic (11:39):
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material that the DNA, the RNA. (11:42):
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Because of course, you know,
there are viruses that are both (11:45):
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DNA based and RNA based. (11:47):
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And of course, bacteria are DNA
based. (11:49):
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We're interested in those and
all the way up. (11:51):
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And you can even pick up
parasites within, you know, the (11:53):
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wastewater if you're lucky. (11:57):
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Um, but but that data it is all, (11:59):
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when we finally have it, it (12:02):
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is worth understanding that it's (12:04):
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pretty, (12:06):
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It's a it's it's a pretty long
process. (12:07):
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But when I say long, you know, (12:10):
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we are we're talking relatively (12:11):
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speaking here. (12:13):
undefined
Speaker:
Now you know this can all be
done, (12:14):
undefined
Speaker:
getting a sample from its raw
form into nucleic acid can all (12:16):
undefined
Speaker:
be done in half a day. (12:19):
undefined
Speaker:
So it can, within the lab. (12:21):
undefined
Speaker:
Um, but there is a growing, uh,
desire to look for other things (12:23):
undefined
Speaker:
within wastewater as well. (12:28):
undefined
Speaker:
And, and there's plenty of other (12:29):
undefined
Speaker:
groups that actually have a (12:30):
undefined
Speaker:
focus looking at drug residues, (12:31):
undefined
Speaker:
both legal and illegal drug (12:34):
undefined
Speaker:
residues, so they can get an (12:35):
undefined
Speaker:
idea of, you know, what is (12:37):
undefined
Speaker:
circulating at that moment in (12:39):
undefined
Speaker:
time. (12:40):
undefined
Speaker:
And so wastewater is an (12:41):
undefined
Speaker:
extremely rich data source, and (12:43):
undefined
Speaker:
sometimes the amount of data (12:45):
undefined
Speaker:
that we generate out of it can (12:47):
undefined
Speaker:
seem overwhelming. (12:49):
undefined
Speaker:
And you go, well, how do how do
I start analyzing this? (12:50):
undefined
Speaker:
I guess that brings me on then
to a bit of a follow up. (12:53):
undefined
Speaker:
Then is like, how do you analyze
it? (12:56):
undefined
Speaker:
And how do you make sure you're (12:58):
undefined
Speaker:
extracting like meaningful data, (12:59):
undefined
Speaker:
not just throwing data out into (13:01):
undefined
Speaker:
the world that maybe are just (13:03):
undefined
Speaker:
incidentalomas. (13:04):
undefined
Speaker:
And that's where it's important (13:06):
undefined
Speaker:
to have a focus on what you're (13:07):
undefined
Speaker:
looking for. (13:09):
undefined
Speaker:
So maybe a priori knowledge
already of the potential target (13:09):
undefined
Speaker:
or targets. Maybe what the
public health agency, you know, (13:14):
undefined
Speaker:
have asked for. (13:18):
undefined
Speaker:
And so if we go back to why we (13:18):
undefined
Speaker:
initially set up, we were (13:20):
undefined
Speaker:
generating data around SARS-2 (13:21):
undefined
Speaker:
levels within the community to (13:23):
undefined
Speaker:
give them an idea of the (13:25):
undefined
Speaker:
relative amount that was present (13:27):
undefined
Speaker:
there. (13:28):
undefined
Speaker:
And then also, we were doing (13:29):
undefined
Speaker:
sequencing to give them an idea (13:31):
undefined
Speaker:
of what variants were (13:32):
undefined
Speaker:
circulating at that moment in (13:33):
undefined
Speaker:
time. (13:34):
undefined
Speaker:
So if we focus on a single
pathogen here being SARS, that's (13:35):
undefined
Speaker:
the sort of data that we were
extracting and then passing on. (13:38):
undefined
Speaker:
Likewise for a number of our (13:42):
undefined
Speaker:
other viral, uh, and bacterial (13:44):
undefined
Speaker:
targets, (13:46):
undefined
Speaker:
that's what the sort that you'd (13:47):
undefined
Speaker:
focus on. That one, that one (13:48):
undefined
Speaker:
thing. (13:49):
undefined
Speaker:
But then when you start looking (13:50):
undefined
Speaker:
at this rich data source and you (13:52):
undefined
Speaker:
start thinking about what I can, (13:53):
undefined
Speaker:
you know, if I want to take an (13:55):
undefined
Speaker:
unbiased look and start to look (13:56):
undefined
Speaker:
at seeing what, um, (13:58):
undefined
Speaker:
antimicrobial resistance you're (14:00):
undefined
Speaker:
seeing there genomically within (14:03):
undefined
Speaker:
the wastewater. (14:04):
undefined
Speaker:
Just just to focus on that for a
moment. (14:05):
undefined
Speaker:
So yes, it's an extremely rich
data source. (14:07):
undefined
Speaker:
And often the data sets that you
generate, you find yourself (14:10):
undefined
Speaker:
coming back to to go, right. (14:13):
undefined
Speaker:
Well, what else can I look for
now. (14:15):
undefined
Speaker:
And, and that that is what is
also quite, uh, pure about and (14:16):
undefined
Speaker:
interesting about environmental,
uh, wastewater sampling is that, (14:21):
undefined
Speaker:
you know, while you may have a
question to answer at that (14:26):
undefined
Speaker:
moment in time and a need to
pass on information about that, (14:28):
undefined
Speaker:
you can always come back and
start looking for other things. (14:31):
undefined
Speaker:
And it's probably would have a (14:35):
undefined
Speaker:
use if there's, say, a future (14:36):
undefined
Speaker:
pandemic. (14:37):
undefined
Speaker:
How early were we seeing traces
of it in in wastewater? (14:38):
undefined
Speaker:
You know, like with Covid, they (14:42):
undefined
Speaker:
went and retrospectively looked (14:44):
undefined
Speaker:
at some blood samples, and they (14:45):
undefined
Speaker:
found that it had probably been (14:46):
undefined
Speaker:
circulating for a number of (14:47):
undefined
Speaker:
months before it was being (14:49):
undefined
Speaker:
picked up. (14:50):
undefined
Speaker:
I suppose you've got that rich (14:50):
undefined
Speaker:
data source that you can always (14:52):
undefined
Speaker:
go back. (14:53):
undefined
Speaker:
And I think for me, when I first
started hearing about wastewater (14:54):
undefined
Speaker:
sampling for COVID, I just
thought, goodness me, that's (14:58):
undefined
Speaker:
such a clever way to do large
scale monitoring of trends. (15:00):
undefined
Speaker:
You've hit the nail on the head. (15:04):
undefined
Speaker:
That's what wastewater groups,
ourselves included, have been at (15:05):
undefined
Speaker:
pains to do is to keep the
samples, the raw samples, and (15:09):
undefined
Speaker:
extracting nucleic acid from
from the programs. (15:13):
undefined
Speaker:
And so we've all built up a
biobank of wastewater samples (15:17):
undefined
Speaker:
collected during our program's
lifetime, and other groups are (15:21):
undefined
Speaker:
doing the same. (15:26):
undefined
Speaker:
Those programs that are still (15:27):
undefined
Speaker:
running. Because this is very (15:28):
undefined
Speaker:
important to have that so that (15:30):
undefined
Speaker:
we could go back into those (15:32):
undefined
Speaker:
samples should something new (15:34):
undefined
Speaker:
emerge and say, well, actually, (15:36):
undefined
Speaker:
now that we know what we're (15:38):
undefined
Speaker:
looking for, (15:39):
undefined
Speaker:
if we hadn't known that before
it emerged, (15:40):
undefined
Speaker:
would we have been able to
detect it sooner? (15:42):
undefined
Speaker:
And that's where having a (15:44):
undefined
Speaker:
biobank is, is incredibly (15:45):
undefined
Speaker:
important. (15:47):
undefined
Speaker:
And I think there's not there's
not a single scientist who (15:47):
undefined
Speaker:
wouldn't give their their left
or right arm to actually have (15:50):
undefined
Speaker:
some wastewater pre SARS-2
because now, you know, could we (15:53):
undefined
Speaker:
have gone right back if say
there was a, you know, the (15:58):
undefined
Speaker:
collection and the banking of
wastewater samples that have (16:02):
undefined
Speaker:
been happening as just as a
matter of fact, would we have (16:05):
undefined
Speaker:
actually detected that in
wastewater much sooner than it (16:08):
undefined
Speaker:
was detected. Because we only
detected it when we knew what we (16:12):
undefined
Speaker:
were looking for. (16:15):
undefined
Speaker:
If we can generate a rich enough
data source, understanding what (16:16):
undefined
Speaker:
the baseline is, but
understanding that baseline will (16:21):
undefined
Speaker:
shift and move a little bit with
the seasons as they progress and (16:25):
undefined
Speaker:
the natural sort of seasonal
infections that we go through. (16:29):
undefined
Speaker:
Uh, but if we have a baseline (16:33):
undefined
Speaker:
there and if we are using the (16:34):
undefined
Speaker:
scenario that this is going to (16:37):
undefined
Speaker:
be something we haven't seen (16:38):
undefined
Speaker:
before. (16:39):
undefined
Speaker:
And we start to see an uptick in
something strange. Very quickly. (16:40):
undefined
Speaker:
there can be a concerted effort (16:44):
undefined
Speaker:
to understand what actually is (16:46):
undefined
Speaker:
this? (16:48):
undefined
Speaker:
And then when you feed that (16:49):
undefined
Speaker:
information in with all the (16:51):
undefined
Speaker:
other, as they like to call it, (16:52):
undefined
Speaker:
you know, syndromic sort of (16:54):
undefined
Speaker:
information where, you know, can (16:55):
undefined
Speaker:
you quickly plug that in and (16:57):
undefined
Speaker:
see? (16:58):
undefined
Speaker:
Well, actually, we're also
seeing, you know, an uptick in (16:58):
undefined
Speaker:
in sicknesses, people taking
days off from work. (17:01):
undefined
Speaker:
We're seeing an uptick in people
visiting GPs. (17:04):
undefined
Speaker:
We're seeing an uptick in (17:06):
undefined
Speaker:
actual, you know, hospital (17:08):
undefined
Speaker:
visits. (17:09):
undefined
Speaker:
You can quickly generate a
picture of, well, is there (17:10):
undefined
Speaker:
something new brewing here? (17:13):
undefined
Speaker:
And, um, going to upset society
again? (17:15):
undefined
Speaker:
It certainly might be more (17:19):
undefined
Speaker:
efficient than a lot of the flu (17:20):
undefined
Speaker:
monitoring that goes on each (17:22):
undefined
Speaker:
year. (17:23):
undefined
Speaker:
You know, around picking the
strains to go into the vaccine, (17:23):
undefined
Speaker:
where it's a lot of nasal swabs
to see what's doing the rounds. (17:25):
undefined
Speaker:
I mean, obviously there, you
know, you're mentioning that (17:29):
undefined
Speaker:
wastewater is a really rich
source of, of of data. You're (17:31):
undefined
Speaker:
looking for RNA and DNA, (17:35):
undefined
Speaker:
what are the particular (17:38):
undefined
Speaker:
pathogens at the moment that (17:39):
undefined
Speaker:
you're looking for in these (17:40):
undefined
Speaker:
samples? (17:41):
undefined
Speaker:
We during the wastewater
program, uh, looked for quite a (17:42):
undefined
Speaker:
few, uh, viral targets. (17:46):
undefined
Speaker:
We looked at, obviously the (17:49):
undefined
Speaker:
aforementioned SARS-2, we looked (17:51):
undefined
Speaker:
at RSV, we looked at enterovirus (17:52):
undefined
Speaker:
D68, we looked at adenovirus, we (17:56):
undefined
Speaker:
looked for influenza A. And so (17:58):
undefined
Speaker:
those are all things that we had (18:01):
undefined
Speaker:
in our toolkit, uh, as the as (18:03):
undefined
Speaker:
the wastewater surveillance (18:05):
undefined
Speaker:
program matured. (18:06):
undefined
Speaker:
And so those are the the same (18:07):
undefined
Speaker:
things that we continue to look (18:08):
undefined
Speaker:
for. (18:10):
undefined
Speaker:
We brainstorm about what else is
important, talking to our (18:10):
undefined
Speaker:
collaborators, the people across
the, you know, agricultural (18:13):
undefined
Speaker:
sphere, across the health sphere
about what worries them. (18:16):
undefined
Speaker:
What should we be thinking,
looking for? (18:19):
undefined
Speaker:
And so when it comes to then the (18:21):
undefined
Speaker:
other side of the coin with (18:23):
undefined
Speaker:
bacteria, we're of course very (18:25):
undefined
Speaker:
interested in AMR as, as, uh, as (18:26):
undefined
Speaker:
associated with bacteria and, (18:30):
undefined
Speaker:
and looking for certain, uh, (18:32):
undefined
Speaker:
culprits within within that (18:34):
undefined
Speaker:
within the bacteriome so to (18:36):
undefined
Speaker:
speak. (18:38):
undefined
Speaker:
So, you know, we don't (18:38):
undefined
Speaker:
necessarily we have specific (18:40):
undefined
Speaker:
targets that we look for, but we (18:42):
undefined
Speaker:
always are looking at (18:43):
undefined
Speaker:
everything. (18:44):
undefined
Speaker:
So we are looking at the virome,
we are looking at the bacteriome (18:44):
undefined
Speaker:
and we are looking at the fungiome. (18:48):
undefined
Speaker:
Fungi are incredibly important
to understand. (18:49):
undefined
Speaker:
They're incredibly diverse, (18:53):
undefined
Speaker:
Um, Kingdom um, and they're
incredibly important. (18:56):
undefined
Speaker:
And also they have their own (19:02):
undefined
Speaker:
villains within them that have (19:04):
undefined
Speaker:
influenced human health quite (19:06):
undefined
Speaker:
dramatically. (19:08):
undefined
Speaker:
And we do often talk about AMR
in is in a relation to bacteria, (19:09):
undefined
Speaker:
but there are resistant, uh,
fungi on the horizon. (19:15):
undefined
Speaker:
They've been around quite a
while and they are even more (19:20):
undefined
Speaker:
difficult to get rid of. (19:23):
undefined
Speaker:
So when you not only identify
then which particular, you know, (19:25):
undefined
Speaker:
viruses, bacteria or fungi are
in species, Are you then running (19:29):
undefined
Speaker:
screening tests, then to see
their current resistance state (19:34):
undefined
Speaker:
for one of the projects that we
have just finished? (19:37):
undefined
Speaker:
We absolutely thought it was
important to take a culturomics (19:39):
undefined
Speaker:
approach, as we called it, to
what we were doing. (19:43):
undefined
Speaker:
So in this case, we were doing (19:45):
undefined
Speaker:
air and wastewater surveillance (19:46):
undefined
Speaker:
within a nursing home here in (19:48):
undefined
Speaker:
Northern Ireland. (19:50):
undefined
Speaker:
And we work very closely with
the owners of the nursing home. (19:51):
undefined
Speaker:
We thought it was incredibly (19:54):
undefined
Speaker:
important to differentiate (19:56):
undefined
Speaker:
between what you see, (19:58):
undefined
Speaker:
genomically, so you can do all (19:59):
undefined
Speaker:
this sequencing and you can see (20:01):
undefined
Speaker:
you've got these AMR targets, (20:03):
undefined
Speaker:
genomically. (20:04):
undefined
Speaker:
But it's important to understand (20:05):
undefined
Speaker:
what is being expressed (20:06):
undefined
Speaker:
phenotypically because you can't (20:08):
undefined
Speaker:
just look at something, all this (20:09):
undefined
Speaker:
genomic information say, right, (20:11):
undefined
Speaker:
I have this really, really bad (20:13):
undefined
Speaker:
resistance, let's ring the alarm (20:14):
undefined
Speaker:
bell, whatever and worry about (20:16):
undefined
Speaker:
it. (20:18):
undefined
Speaker:
But unless that is actually (20:18):
undefined
Speaker:
being expressed, there's not (20:20):
undefined
Speaker:
necessarily the sense and (20:22):
undefined
Speaker:
immediately panicking about this all (20:23):
undefined
Speaker:
so it is. (20:26):
undefined
Speaker:
So it's important that even with
all the advances that we have in (20:26):
undefined
Speaker:
a field like microbiology, where
we have incredibly sophisticated (20:30):
undefined
Speaker:
molecular tools, sequencers,
everything that can do things (20:34):
undefined
Speaker:
now in half a day or a day,
what, you know, fifteen, twenty (20:37):
undefined
Speaker:
years ago probably took the guts
of a week or more. (20:41):
undefined
Speaker:
It's important to understand
that old school microbiology is (20:44):
undefined
Speaker:
still very, very important. (20:48):
undefined
Speaker:
That old school culture that (20:50):
undefined
Speaker:
that is, yes, can be time (20:52):
undefined
Speaker:
consuming, (20:53):
undefined
Speaker:
but again, with advances in
technology can make that much (20:54):
undefined
Speaker:
easier for us. (20:58):
undefined
Speaker:
It is important that you look at (20:59):
undefined
Speaker:
things from a cultural point of (21:00):
undefined
Speaker:
view when we're talking about (21:02):
undefined
Speaker:
AMR. (21:03):
undefined
Speaker:
It really is. (21:04):
undefined
Speaker:
Yeah, exactly. (21:05):
undefined
Speaker:
Like, you know, you often see
these, uh, you know, tabloid (21:06):
undefined
Speaker:
headlines of fatal pathogens
found in fridge. (21:08):
undefined
Speaker:
It's like, okay, that's grand, (21:11):
undefined
Speaker:
but are they going to actually (21:12):
undefined
Speaker:
do anything when they get near a (21:14):
undefined
Speaker:
human? (21:15):
undefined
Speaker:
And if they come out of the
fridge, do they die? (21:15):
undefined
Speaker:
You mentioned there earlier
that, you know, some people are (21:18):
undefined
Speaker:
looking at wastewater for other
molecules and macromolecules. (21:20):
undefined
Speaker:
And the term for that is
bioprospecting. (21:24):
undefined
Speaker:
Essentially the the exploration
of natural resources for small (21:26):
undefined
Speaker:
molecules, macromolecules, you
know, other biochemical and (21:29):
undefined
Speaker:
genetic information, and it is
becoming increasingly common. (21:33):
undefined
Speaker:
So what role then, does
Bioprospecting play in (21:36):
undefined
Speaker:
developing new pharmaceuticals
or health solutions? (21:39):
undefined
Speaker:
You've hit the nail on the head
about describing it. (21:42):
undefined
Speaker:
So Bioprospecting, of course, is
a very fancy term. (21:45):
undefined
Speaker:
Um, but it's something that
isn't new. (21:49):
undefined
Speaker:
It's something that, uh, science (21:51):
undefined
Speaker:
has been doing for a very long (21:54):
undefined
Speaker:
time. (21:55):
undefined
Speaker:
And it's just quite simply
searching for those novel (21:55):
undefined
Speaker:
compounds, those resources
within nature that can have a (22:00):
undefined
Speaker:
positive impact on society. (22:05):
undefined
Speaker:
And, and when I talk about this, (22:07):
undefined
Speaker:
um, you know, in my field and (22:09):
undefined
Speaker:
understanding things, it's about (22:11):
undefined
Speaker:
that positive impact on human (22:12):
undefined
Speaker:
health. And wastewater has often (22:14):
undefined
Speaker:
been a resource that's been used (22:18):
undefined
Speaker:
in the past exactly for this, (22:20):
undefined
Speaker:
but it's not widely published or (22:22):
undefined
Speaker:
talked about. (22:25):
undefined
Speaker:
And, um, for a long time,
whenever you've had chronic, (22:26):
undefined
Speaker:
severe infections that just
cannot be treated or cleared by (22:30):
undefined
Speaker:
the antimicrobials that the
clinicians have to hand. (22:34):
undefined
Speaker:
There's been plenty of other
situations in the past where (22:38):
undefined
Speaker:
groups, scientists have gone into
the local wastewater to extract (22:44):
undefined
Speaker:
a cocktail of bacteriophages and
screen them to see if any of (22:49):
undefined
Speaker:
those would be suitable for for
basically killing off this, this (22:54):
undefined
Speaker:
bacteria that is causing such a
problem for that patient. (22:58):
undefined
Speaker:
And bacteriophages love to eat
up bacteria. (23:03):
undefined
Speaker:
And they're not only do they
love eat up bacteria, but they (23:06):
undefined
Speaker:
can be very selective about what
particular bacteria they want to (23:09):
undefined
Speaker:
go to town on. (23:12):
undefined
Speaker:
And so there has been a lot of
work isolating bacteriophages, (23:13):
undefined
Speaker:
bioprospecting, bacteriophages
out of wastewater and using them (23:18):
undefined
Speaker:
to treat individuals that have
severe cases of infection caused (23:22):
undefined
Speaker:
by multidrug resistant bacteria. (23:27):
undefined
Speaker:
And that and there has been good
results from that. (23:29):
undefined
Speaker:
And so that's something that's
slowly gaining pace. (23:33):
undefined
Speaker:
Like with any new technology, (23:36):
undefined
Speaker:
there's a bit of effort involved (23:38):
undefined
Speaker:
in it. (23:39):
undefined
Speaker:
There's quite a cost sink
involved in it. (23:39):
undefined
Speaker:
It's not something just yet for
everyone all the time, but with (23:41):
undefined
Speaker:
enough effort put into that it
very quickly could reach that. (23:47):
undefined
Speaker:
So it gives us another load of (23:51):
undefined
Speaker:
weapons in our arsenal to combat (23:53):
undefined
Speaker:
antimicrobial resistance. (23:56):
undefined
Speaker:
You're right in saying now, with
the challenge and the increasing (23:57):
undefined
Speaker:
challenge of AMR antimicrobial
resistance, that maybe (24:00):
undefined
Speaker:
bacteriophages is something that
the world needs to be putting a (24:04):
undefined
Speaker:
lot of effort into. (24:06):
undefined
Speaker:
We maybe need to look at that
sort of personalized approach (24:07):
undefined
Speaker:
for treating infections. (24:11):
undefined
Speaker:
And are there ethical
considerations involved then in (24:13):
undefined
Speaker:
bioprospecting that maybe
researchers should be aware of? (24:16):
undefined
Speaker:
Yeah, I think it's it's really (24:20):
undefined
Speaker:
important for all branches of (24:22):
undefined
Speaker:
science to understand what (24:24):
undefined
Speaker:
considerations, ethical (24:26):
undefined
Speaker:
considerations that they need to (24:28):
undefined
Speaker:
be aware of in the research that (24:30):
undefined
Speaker:
they're doing. And in the the (24:32):
undefined
Speaker:
story with just or the what (24:34):
undefined
Speaker:
we've just been talking about (24:35):
undefined
Speaker:
there. (24:37):
undefined
Speaker:
We need to understand as a (24:37):
undefined
Speaker:
community, if that's not (24:38):
undefined
Speaker:
wastewater, for example, if (24:40):
undefined
Speaker:
that's another type of natural (24:41):
undefined
Speaker:
resource, you know, where does (24:42):
undefined
Speaker:
that ownership lie in utilizing (24:44):
undefined
Speaker:
that resource? (24:47):
undefined
Speaker:
Um, if you're going to if
you're, for example, trying to (24:48):
undefined
Speaker:
look for something in pristine
environments that hasn't been (24:50):
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impacted by by human activity to
search them for new (24:53):
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antimicrobials or new compounds,
then will, of course, you know, (24:58):
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you need to engage with anyone
that you know. (25:01):
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If you're if we're talking like
we're talking maybe the Canadian (25:05):
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tundra here or whatever, you
know, just to throw some (25:08):
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examples out or somewhere in,
you know, the Australian (25:10):
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wilderness, you know, there's
going to be first peoples there. (25:14):
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And so any benefit you glean (25:17):
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from that, shouldn't just benefit (25:19):
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a select few people, it should (25:22):
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benefit everyone. (25:23):
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And I think that that's quite
simply at its core, the ethical (25:25):
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considerations you have to give. (25:29):
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And I understand I'm saying that
whenever we we live in a (25:32):
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capitalistic society, but you
can't just take and benefit a (25:35):
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few, because they can afford it. (25:40):
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It must be for the benefit of
all. (25:42):
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Because, getting back to what we (25:43):
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first talked about, everything (25:45):
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is connected. (25:48):
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You cannot just think about (25:49):
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yourself and just healing (25:51):
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yourself. (25:53):
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I think we really saw that,
didn't we, with COVID and, you (25:54):
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know, previously in HIV, just
because an infection starts in (25:56):
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one part of the world or one
community, doesn't mean that (26:00):
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it's not going to spread. (26:04):
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And particularly then, you know, (26:05):
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we're not safe until we're all (26:07):
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safe. (26:09):
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I think that's an important (26:09):
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principle to take away from (26:10):
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that. (26:11):
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Yeah, exactly, exactly. (26:12):
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We've we've got, um, you know,
we're a global society. (26:13):
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We move around, we want to go on
holiday. (26:16):
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We want to go visit other
countries. (26:18):
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We travel for work, everything
like that there. (26:20):
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And pathogens do not respect
international borders. (26:22):
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They're not stopping showing
their passport like that there. (26:26):
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Yeah. (26:30):
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I think something you touched (26:31):
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upon earlier there about the (26:31):
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environmental changes. (26:33):
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So pathogens, you know, we could
be carrying pathogens home in (26:34):
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our, our clothes from, you know,
higher temperature areas that (26:37):
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traditionally may not have
survived this far north. (26:41):
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You and I are both fairly north
in terms of the globe. (26:44):
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And now with changing climate, (26:48):
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we're seeing pathogens that may (26:50):
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have once been comfortable at (26:53):
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more warmer temperatures, are (26:54):
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surviving and thriving further (26:56):
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north now. (26:58):
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And I think exactly that, that
whole thing, we're not safe (26:58):
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until we're all safe. (27:01):
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You might carry an insect bag
with you or or the changes in (27:02):
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those temperatures influence the
fact that mosquitoes can move a (27:06):
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bit further north. (27:10):
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They are of growing concern
because just recently this year, (27:11):
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the EU has recorded cases of
yellow fever and West Nile virus (27:14):
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and that not spreading in
countries such as France, (27:21):
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Portugal, Italy, Romania. (27:24):
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So it's important to understand
we're not just, you know, having (27:25):
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a wee conversation. (27:31):
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This stuff's already here. (27:32):
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So it is. (27:33):
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And it will only continue unless (27:34):
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we as a community and as a (27:37):
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community, as a scientific (27:40):
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community, um, do our best to, (27:41):
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to find ways of of halting that (27:44):
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spread. (27:46):
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Yeah. (27:47):
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I mean, you say it. (27:47):
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It is already in Portugal and
France. (27:48):
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I was I was giving blood a (27:49):
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couple of weeks ago, and when (27:50):
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they were going through my (27:52):
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travel history, they were going (27:52):
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through particular maps of where (27:53):
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I had been in France recently (27:55):
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because of the, the, the rise in (27:56):
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tick borne pathogens in some of (27:59):
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those areas. (28:00):
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It's been really quite
interesting. (28:01):
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Do you know what, (28:03):
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I think that's a really great
place to end this episode. (28:03):
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It's been fascinating to learn
about the role of wastewater (28:06):
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monitoring in both epidemiology
and potentially pandemic (28:09):
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preparedness, and the importance
of working together across many (28:13):
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stakeholders to tap into this
rich resource of data. (28:16):
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We also talked about the rise of
zoonotic diseases and the (28:21):
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importance in understanding our
role as humans. (28:23):
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When we start to encroach more
into areas with other species (28:26):
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that can result in bite back, as
you say, Doctor Lee. (28:29):
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In the next episode, Doctor Lee (28:33):
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and I continue to discuss the (28:34):
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more technical details of (28:37):
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wastewater and air sampling for (28:38):
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population health monitoring and (28:40):
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learn about some great real (28:42):
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world examples. (28:43):
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Going Macro on Micro is a
podcast series supported by (28:45):
undefined
Speaker:
Beckman Coulter exploring
emerging themes in microbiology. (28:47):
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Subscribe to the podcast
wherever you listen to. (28:51):
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Stay up to date with each new
episode as it's released. (28:53):
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You can also join our online (28:57):
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community by searching for (28:58):
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Beckman Coulter Microbiology on (29:00):
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LinkedIn. (29:02):
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There you'll find discussions on (29:03):
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a variety of interesting (29:04):
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microbiology topics. (29:06):
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Until next time when we go macro
and micro. (29:07):
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Goodbye. (29:09):
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