1 00:00:00,120 --> 00:00:03,040 Speaker 1: Researchers at charles Dale and University are looking into biting 2 00:00:03,240 --> 00:00:07,000 Speaker 1: midgi's and their potential to carry diseases that could damage 3 00:00:07,000 --> 00:00:11,160 Speaker 1: Australia's livestock industry. So there are fears that exotic diseases 4 00:00:11,200 --> 00:00:14,440 Speaker 1: transmitted to animals from midge's and mozzies are on the 5 00:00:14,520 --> 00:00:19,599 Speaker 1: rise in Australia's northern neighboring countries, increasing those biosecurity risks. 6 00:00:20,000 --> 00:00:22,599 Speaker 1: Now joining us on the line to explain the situation 7 00:00:22,920 --> 00:00:28,800 Speaker 1: further is Charlesdale and University's Professor of Tropical Biosecurity, Maxine Pigot. 8 00:00:28,880 --> 00:00:30,120 Speaker 1: Good morning to your magazine. 9 00:00:31,440 --> 00:00:32,199 Speaker 2: Hello, how are you? 10 00:00:32,360 --> 00:00:34,680 Speaker 1: Yeah, really good, Thanks so much for your time this morning. 11 00:00:35,080 --> 00:00:38,160 Speaker 1: Now talk us through this study and what exactly it involves. 12 00:00:39,640 --> 00:00:43,440 Speaker 2: Okay, So I got some funding through the federal government 13 00:00:43,520 --> 00:00:47,240 Speaker 2: for a National Industry PhD and the project is in 14 00:00:47,280 --> 00:00:50,680 Speaker 2: collaboration of the Northern Territory government. We're really interested in 15 00:00:50,760 --> 00:00:56,240 Speaker 2: looking at this group of midgis called killer coids. They're 16 00:00:56,240 --> 00:01:00,480 Speaker 2: biting midgis and they're very interesting because they are important 17 00:01:00,480 --> 00:01:04,880 Speaker 2: disease vectors for a range of viruses and bacteria, particularly 18 00:01:04,920 --> 00:01:07,440 Speaker 2: for livestock. So there are a couple of exotic diseases 19 00:01:07,480 --> 00:01:10,880 Speaker 2: that they carry, blue toung virus and African horse sickness. 20 00:01:11,280 --> 00:01:13,479 Speaker 2: They're not currently in Australia, but one of the things 21 00:01:13,520 --> 00:01:16,759 Speaker 2: we just wanted to really get some more information on 22 00:01:17,680 --> 00:01:21,760 Speaker 2: qula coiity species across Northern Australia, how they move, what's 23 00:01:21,800 --> 00:01:26,200 Speaker 2: the gene flow between population So that really means sorry, 24 00:01:26,280 --> 00:01:30,400 Speaker 2: just that if their populations are closely related, there's lots 25 00:01:30,400 --> 00:01:33,280 Speaker 2: of movement, but if they're not closely related, then they're 26 00:01:33,840 --> 00:01:36,520 Speaker 2: you know, probably not as there's not as much gene 27 00:01:36,520 --> 00:01:38,479 Speaker 2: flow going between populations. 28 00:01:38,760 --> 00:01:41,440 Speaker 1: Yeah, right, Like it sounds like very common sense kind 29 00:01:41,480 --> 00:01:43,959 Speaker 1: of research to do here as well, because it does 30 00:01:44,040 --> 00:01:47,520 Speaker 1: sound as though it could have an impact on our 31 00:01:47,560 --> 00:01:50,000 Speaker 1: livestock and on industry. 32 00:01:51,800 --> 00:01:54,240 Speaker 2: Yes, I think one of the problems is it's always 33 00:01:54,240 --> 00:01:56,640 Speaker 2: been in funding for these sort of projects. But there's 34 00:01:56,680 --> 00:01:59,480 Speaker 2: also a lot of species, so there are hundreds of 35 00:01:59,680 --> 00:02:03,440 Speaker 2: hundreds of species, probably underescribed species as well, so there's 36 00:02:03,480 --> 00:02:05,840 Speaker 2: a lot of basic research that needs to be done. 37 00:02:05,840 --> 00:02:08,200 Speaker 2: So it's often the funding and also Northern Australia's huge 38 00:02:08,240 --> 00:02:10,560 Speaker 2: as we all know, it's a lot of work. 39 00:02:11,200 --> 00:02:14,200 Speaker 1: How concerning is the rise of those exotic diseases in 40 00:02:14,280 --> 00:02:16,800 Speaker 1: neighboring countries as well, and I guess this is something 41 00:02:16,800 --> 00:02:17,919 Speaker 1: that you're sort of looking into. 42 00:02:19,840 --> 00:02:23,240 Speaker 2: I think that the closer they get to Australia, then 43 00:02:23,280 --> 00:02:27,280 Speaker 2: of course you know there is concern and it was 44 00:02:27,280 --> 00:02:29,440 Speaker 2: always going to be concerned that potentially they're going to 45 00:02:29,520 --> 00:02:31,960 Speaker 2: jump over and that we're going to start seeing some 46 00:02:32,000 --> 00:02:35,560 Speaker 2: of these diseases. So I guess this project is really 47 00:02:35,600 --> 00:02:39,399 Speaker 2: looking at preparedness. You know, if we understand movement of 48 00:02:39,480 --> 00:02:42,200 Speaker 2: these insect vectors, then we can start sort of like 49 00:02:43,000 --> 00:02:45,840 Speaker 2: making sure our surveillance is accurate and we're in the 50 00:02:45,880 --> 00:02:48,200 Speaker 2: right spots and that we sort of had some idea 51 00:02:48,200 --> 00:02:50,520 Speaker 2: of what might happen if one of these exotic diseases 52 00:02:50,560 --> 00:02:51,640 Speaker 2: came into Australia. 53 00:02:51,760 --> 00:02:54,440 Speaker 1: Yeah, and what will the study mean then when you 54 00:02:54,480 --> 00:02:56,880 Speaker 1: look at that biosecurity and what you know, what the 55 00:02:56,960 --> 00:02:59,280 Speaker 1: impact could be if that were to happen. 56 00:03:00,680 --> 00:03:02,400 Speaker 2: Well, I think part of the study as well will 57 00:03:02,440 --> 00:03:05,760 Speaker 2: also be trying to, I guess, simulate what could happen 58 00:03:06,000 --> 00:03:08,480 Speaker 2: if a disease came in based on what we know 59 00:03:08,520 --> 00:03:11,799 Speaker 2: about the movement of the mid species. And then if 60 00:03:11,840 --> 00:03:14,520 Speaker 2: we do know that could just give you an indication 61 00:03:14,639 --> 00:03:17,200 Speaker 2: of what sort of preparation might be needed, so you 62 00:03:17,240 --> 00:03:21,080 Speaker 2: know where maybe there are certain populations that are quite 63 00:03:21,160 --> 00:03:24,000 Speaker 2: restricted so they're not likely to spread too much, but 64 00:03:24,080 --> 00:03:26,120 Speaker 2: maybe there are others that are quite there'll be a 65 00:03:26,200 --> 00:03:27,960 Speaker 2: lot more spread. So just I think it's just more 66 00:03:28,000 --> 00:03:31,720 Speaker 2: that preparation and really understanding whether it can assistence, you know, 67 00:03:31,720 --> 00:03:34,600 Speaker 2: in terms of sort of trying to control certain mid species, 68 00:03:35,240 --> 00:03:38,240 Speaker 2: particularly during an outbreak, so they sort of just it's 69 00:03:38,280 --> 00:03:41,760 Speaker 2: just really trying to improve preparedness and help with the surveillance, 70 00:03:42,080 --> 00:03:44,840 Speaker 2: early surveillance so to detect any diseases that come in. 71 00:03:45,200 --> 00:03:46,920 Speaker 1: Make saying how long is the study is sort of 72 00:03:46,960 --> 00:03:50,120 Speaker 1: going for and how do you hope or what will 73 00:03:50,120 --> 00:03:52,120 Speaker 1: happen with those findings, how will they be. 74 00:03:52,200 --> 00:03:56,560 Speaker 2: Used this project? There will be a PhD project, so 75 00:03:57,360 --> 00:03:59,960 Speaker 2: three years, so we'll be recruiting a student and working 76 00:04:00,080 --> 00:04:03,160 Speaker 2: with an othern churchy government. What I'm just really hoping 77 00:04:03,200 --> 00:04:06,040 Speaker 2: is that because it's collaborating with an othern churchary government 78 00:04:06,440 --> 00:04:10,960 Speaker 2: with the researchers in the veterinary animal bisecurity area, that 79 00:04:11,560 --> 00:04:13,880 Speaker 2: the information will go straight to where it's needed, so 80 00:04:13,960 --> 00:04:16,320 Speaker 2: you know, it will be useful for them. You will 81 00:04:16,400 --> 00:04:19,120 Speaker 2: understand what they need to know and we can then 82 00:04:19,120 --> 00:04:22,440 Speaker 2: put that information into the right spots really and it 83 00:04:22,480 --> 00:04:27,880 Speaker 2: can be then used for preparedness activities and their understanding. 84 00:04:28,000 --> 00:04:30,520 Speaker 2: So at the moment, three years, we'd love to expand 85 00:04:30,520 --> 00:04:31,400 Speaker 2: we'll see what happened. 86 00:04:31,560 --> 00:04:33,919 Speaker 1: Good on you like? It sounds like I said, it 87 00:04:33,960 --> 00:04:35,880 Speaker 1: sounds like really common sense, and it sounds like a 88 00:04:35,920 --> 00:04:38,360 Speaker 1: good thing to do, you know, for industry as well, 89 00:04:38,400 --> 00:04:40,719 Speaker 1: to have that certainty and a better understanding of the 90 00:04:40,720 --> 00:04:44,000 Speaker 1: way in which you know things can happen, to try 91 00:04:44,040 --> 00:04:46,680 Speaker 1: to you know, to try to help industry in those 92 00:04:47,520 --> 00:04:48,760 Speaker 1: and livestock. 93 00:04:50,000 --> 00:04:53,080 Speaker 2: Yeah, look at I think there's already been work done 94 00:04:53,080 --> 00:04:55,520 Speaker 2: to try and stimulate what's going to happen if a 95 00:04:55,560 --> 00:04:59,200 Speaker 2: disease comes in, but we haven't really had probably as 96 00:04:59,279 --> 00:05:05,880 Speaker 2: much data that would really support that simulation and epidemiological modeling. 97 00:05:05,960 --> 00:05:08,279 Speaker 2: So I think this sort of data just really helps 98 00:05:08,360 --> 00:05:11,520 Speaker 2: to improve our understanding and just giving us some just 99 00:05:11,520 --> 00:05:14,120 Speaker 2: some more information, and particularly that's relevant to Northern Australia. 100 00:05:14,160 --> 00:05:16,760 Speaker 2: So often you know, there can be more for Southern Australia, 101 00:05:16,839 --> 00:05:19,960 Speaker 2: but Northern Australia is on the front line for a 102 00:05:19,960 --> 00:05:20,960 Speaker 2: lot of these diseases. 103 00:05:21,160 --> 00:05:24,080 Speaker 1: Yeah, you spot on well magazine PI get really good 104 00:05:24,080 --> 00:05:26,520 Speaker 1: to speak with you this morning. I really appreciate your time. 105 00:05:27,600 --> 00:05:29,120 Speaker 2: No, thanks very much for the interest. 106 00:05:29,240 --> 00:05:30,040 Speaker 1: Thank you