1 00:00:00,920 --> 00:00:04,400 Speaker 1: Welcome to Stuff you should Know from house stuff Works 2 00:00:04,400 --> 00:00:13,119 Speaker 1: dot com. Hey, and welcome to the podcast. I'm Josh Clark, 3 00:00:13,160 --> 00:00:16,239 Speaker 1: and there's Charles W. Chuck Bryant, and Jerry in our 4 00:00:16,720 --> 00:00:20,880 Speaker 1: germ free sealed off recording booth in Atlanta. I assume 5 00:00:20,920 --> 00:00:25,320 Speaker 1: this is isolated. Yeah, I don't think it's a biological 6 00:00:25,360 --> 00:00:29,639 Speaker 1: safety level four. Then you would you say maybe three? 7 00:00:30,000 --> 00:00:32,479 Speaker 1: I don't know. I think we're probably zero. Have you 8 00:00:32,479 --> 00:00:36,360 Speaker 1: ever been to the CDC? Now, um, they have you 9 00:00:36,400 --> 00:00:39,320 Speaker 1: can go into their lobby. There's like a lobby museum, 10 00:00:39,360 --> 00:00:42,680 Speaker 1: a couple of stories with a lot of interacting, interactive 11 00:00:42,680 --> 00:00:45,199 Speaker 1: exhibits and um you me and I went and she 12 00:00:45,280 --> 00:00:48,640 Speaker 1: tried on one of those biological safety level four suits. 13 00:00:48,760 --> 00:00:50,879 Speaker 1: Oh yeah, yeah. I got a very cute picture of 14 00:00:50,880 --> 00:00:54,000 Speaker 1: her in one. They probably swallowed her up. Yeah, they 15 00:00:54,080 --> 00:00:57,720 Speaker 1: had extra small. I think I have one size. Yeah, 16 00:00:57,760 --> 00:01:00,480 Speaker 1: it was just kind of drooping down. But it's a 17 00:01:00,480 --> 00:01:03,080 Speaker 1: really neat museum. If you're ever in Atlanta, I strongly 18 00:01:03,080 --> 00:01:06,880 Speaker 1: recommend going to the CDC. Yeah I'm gonna wait. Well, 19 00:01:07,000 --> 00:01:09,679 Speaker 1: not that I'm paranoid, because we'll talk about how you 20 00:01:09,680 --> 00:01:12,400 Speaker 1: can get ebola, but it's still uh, you know, I'll 21 00:01:12,440 --> 00:01:14,720 Speaker 1: just I'll just wait. I don't really blame you. Yeah, 22 00:01:14,880 --> 00:01:17,480 Speaker 1: I mean those two patients. There are two patients in 23 00:01:17,520 --> 00:01:19,280 Speaker 1: Atlanta right now for those of you who have been 24 00:01:19,319 --> 00:01:22,840 Speaker 1: under a rock lately, UM, who are being treated for bola, 25 00:01:23,040 --> 00:01:28,399 Speaker 1: apparently successfully through a UM at the time, an unapproved 26 00:01:28,480 --> 00:01:33,759 Speaker 1: drug um or therapy, i should say. And they're at Emory, 27 00:01:33,800 --> 00:01:37,240 Speaker 1: though they're not at the CDC. The CDC is only 28 00:01:37,319 --> 00:01:40,760 Speaker 1: dangerous because you know they keep antraks and unlocked refrigerators 29 00:01:40,800 --> 00:01:42,640 Speaker 1: and that kind of thing. Yeah, and hey, we want 30 00:01:42,640 --> 00:01:45,600 Speaker 1: to thank Jerry for speeding this one through. Uh we 31 00:01:45,680 --> 00:01:47,360 Speaker 1: got a lot of requests to do this, obviously because 32 00:01:47,360 --> 00:01:50,320 Speaker 1: it's timely, and uh we waited a week and there's 33 00:01:50,360 --> 00:01:52,960 Speaker 1: been some new developments and there will be more in 34 00:01:53,000 --> 00:01:56,520 Speaker 1: the coming weeks obviously. But um, we're recording this today 35 00:01:56,520 --> 00:01:59,560 Speaker 1: and it's coming on on Thursday, and like it's Tuesday, 36 00:01:59,600 --> 00:02:05,320 Speaker 1: Today's yeah, so bam, it's dropping, that's right. Um. So 37 00:02:05,640 --> 00:02:09,119 Speaker 1: there's people in Atlanta with ebola right now, and those 38 00:02:09,120 --> 00:02:11,799 Speaker 1: people came from Liberia. There are a couple of missionaries 39 00:02:12,320 --> 00:02:15,080 Speaker 1: and they were flown back to America to be kept 40 00:02:15,080 --> 00:02:19,640 Speaker 1: in isolation units in Emery with controversy surrounding that move. Well, yeah, 41 00:02:19,800 --> 00:02:23,959 Speaker 1: because if you're a utilitarian philosopher, that was a monstrously 42 00:02:24,080 --> 00:02:27,080 Speaker 1: stupid thing to do, to voluntarily bring ebola into the 43 00:02:27,120 --> 00:02:30,280 Speaker 1: United States. Yes, and you you there's a good chance 44 00:02:30,320 --> 00:02:32,400 Speaker 1: that you will save the lives of two people, but 45 00:02:32,480 --> 00:02:36,200 Speaker 1: you also threaten the lives of several hundred million people 46 00:02:36,639 --> 00:02:39,560 Speaker 1: who may not have ever otherwise been exposed to the virus. 47 00:02:39,880 --> 00:02:42,120 Speaker 1: So I'm not one for like panic and especially not 48 00:02:42,200 --> 00:02:46,959 Speaker 1: fomenting panic. Um. But just if you if you understand 49 00:02:47,120 --> 00:02:51,680 Speaker 1: utilitarian philosophy, it doesn't make any sense whatsoever. But we're 50 00:02:51,760 --> 00:02:56,320 Speaker 1: compassionate humans, not robots, so utilitarian philosophy doesn't usually go 51 00:02:56,440 --> 00:03:00,000 Speaker 1: over that. Well have you seen Contagion? Yeah, I think 52 00:03:00,040 --> 00:03:02,680 Speaker 1: we've talked about that on the show. Reading all this 53 00:03:02,720 --> 00:03:06,600 Speaker 1: stuff really like, Solderberg kind of nailed it. Yeah, he did. 54 00:03:06,800 --> 00:03:10,000 Speaker 1: And uh, I believe in that movie it became airborne though, 55 00:03:10,320 --> 00:03:12,560 Speaker 1: which is was it a bowler in the movie? Well, no, 56 00:03:12,680 --> 00:03:15,000 Speaker 1: I don't think they was something similar. Yeah, I don't 57 00:03:15,040 --> 00:03:17,400 Speaker 1: even think they named it because so they could take 58 00:03:17,400 --> 00:03:20,480 Speaker 1: a little bit of fictional license, or maybe they named it, 59 00:03:20,520 --> 00:03:22,040 Speaker 1: but I don't think it's a Bola but you know, 60 00:03:22,240 --> 00:03:25,639 Speaker 1: started with a fruit bat and you know transferred. We'll 61 00:03:25,680 --> 00:03:27,760 Speaker 1: get to all that stuff. Yeah, that one scene where 62 00:03:27,760 --> 00:03:29,800 Speaker 1: Gwyneth Paltrow is that fruit bat on her face and 63 00:03:29,840 --> 00:03:33,840 Speaker 1: she can't get it off. Very scary movie though, Man 64 00:03:33,919 --> 00:03:36,360 Speaker 1: it is Outbreak was pretty good too. I haven't seen 65 00:03:36,400 --> 00:03:38,840 Speaker 1: it in many, many years, but I liked it at 66 00:03:38,840 --> 00:03:43,160 Speaker 1: the time. It's all right, it was okay, not as 67 00:03:43,200 --> 00:03:49,840 Speaker 1: good as Contagion. Dustin Hoffman plays an epidemiologist like no other. Okay, 68 00:03:49,880 --> 00:03:51,640 Speaker 1: so let's get down to it. Man, let's talk about 69 00:03:51,640 --> 00:03:55,800 Speaker 1: a bull. It's uh, as far as discovery goes, it's 70 00:03:55,800 --> 00:04:01,080 Speaker 1: a relatively new player on the deadly virus infects a scene. Yeah, 71 00:04:01,120 --> 00:04:03,640 Speaker 1: I guess we should go back to nineteen seventy six. Um. 72 00:04:03,680 --> 00:04:05,800 Speaker 1: It's actually named for and I didn't know this, the 73 00:04:05,800 --> 00:04:09,520 Speaker 1: Evola River in the Democratic Republic of Congo, which UM 74 00:04:10,440 --> 00:04:12,760 Speaker 1: imagined that river didn't see a lot of traffic anymore 75 00:04:13,360 --> 00:04:16,320 Speaker 1: with that name. But it has nothing to do with 76 00:04:16,360 --> 00:04:18,240 Speaker 1: the fact that they discovered it in the river or 77 00:04:18,279 --> 00:04:20,840 Speaker 1: anything like that. It's just the region. Yeah, and at 78 00:04:20,839 --> 00:04:24,080 Speaker 1: the time that country was known as Zaire And even 79 00:04:24,160 --> 00:04:28,760 Speaker 1: still there's a strain of Ebola known as zaire type ebola, 80 00:04:28,880 --> 00:04:31,000 Speaker 1: and it's the deadliest of all. Yeah. Each of the 81 00:04:31,000 --> 00:04:34,800 Speaker 1: five strains are named for the origin country or area. 82 00:04:35,560 --> 00:04:39,320 Speaker 1: And uh. In this case, a man named Mabolo Um 83 00:04:39,520 --> 00:04:43,320 Speaker 1: sought treatment for a fever in nineteen seventy six. Uh. 84 00:04:43,480 --> 00:04:45,720 Speaker 1: They thought it was malaria, which a lot of times 85 00:04:45,720 --> 00:04:48,400 Speaker 1: they still mistake it from malaria or other diseases. So 86 00:04:48,839 --> 00:04:51,440 Speaker 1: they treated him with a shot of quinine and said, 87 00:04:51,480 --> 00:04:53,400 Speaker 1: this should make you feel better. Let me reuse that 88 00:04:53,440 --> 00:04:57,800 Speaker 1: needle because of sire and we're underfunded medically speaking. And 89 00:04:58,040 --> 00:05:01,320 Speaker 1: uh that of course sprea. And before you know it, 90 00:05:01,839 --> 00:05:06,359 Speaker 1: relatives friends after performing burial rituals where they have close 91 00:05:06,400 --> 00:05:12,280 Speaker 1: contact with bodily remains and fluids, people started dropping like flies. 92 00:05:13,040 --> 00:05:16,320 Speaker 1: It's really scary. There's so and then that was they 93 00:05:16,360 --> 00:05:18,440 Speaker 1: think he was patient zero. At the very least, he 94 00:05:18,520 --> 00:05:23,920 Speaker 1: was an index patient, which is the patient zero is 95 00:05:23,960 --> 00:05:26,640 Speaker 1: like the first person to ever contract it, and an 96 00:05:26,640 --> 00:05:29,680 Speaker 1: index person is the first person in an outbreak. I 97 00:05:29,720 --> 00:05:33,159 Speaker 1: believe it's possible that Maballo is both. He could be 98 00:05:33,160 --> 00:05:36,039 Speaker 1: patient zero and the index patient for that particular outbreak, 99 00:05:36,279 --> 00:05:39,560 Speaker 1: but the patient zero for all of ebola. Yeah, and 100 00:05:39,600 --> 00:05:43,760 Speaker 1: in this case, in of the three and fifty eight 101 00:05:43,760 --> 00:05:48,080 Speaker 1: people died and uh, it's kind of a near simultaneous 102 00:05:48,080 --> 00:05:53,080 Speaker 1: outbreak happened in Sudan, and of the two and eighty 103 00:05:53,120 --> 00:05:55,800 Speaker 1: four died in Sudan, which is pretty good because it 104 00:05:55,839 --> 00:06:00,600 Speaker 1: generally kills about Okay, so that's Sudan type bola. It's 105 00:06:00,640 --> 00:06:04,719 Speaker 1: less deadly than Zaire type of bola. Game, yes, but 106 00:06:04,920 --> 00:06:09,600 Speaker 1: even still you're talking it's way better than But consider this, chuck, 107 00:06:09,680 --> 00:06:15,400 Speaker 1: I looked this up. You know, the influenza um of uh, 108 00:06:15,760 --> 00:06:19,839 Speaker 1: the Spanish flu, I think is what it's frequently Back then, 109 00:06:20,000 --> 00:06:24,520 Speaker 1: there something like I think twenty million to forty million 110 00:06:24,600 --> 00:06:29,520 Speaker 1: people died in one year across the world. Wow. Okay, 111 00:06:29,839 --> 00:06:33,200 Speaker 1: the the average life expectancy in the US dropped by 112 00:06:33,279 --> 00:06:36,600 Speaker 1: ten years that one year because of that one flu. 113 00:06:36,880 --> 00:06:39,599 Speaker 1: It had a mortality rate of only two point five percent. 114 00:06:40,400 --> 00:06:44,159 Speaker 1: I bola has a mortality rate of n Well. Yeah, 115 00:06:44,200 --> 00:06:48,000 Speaker 1: that's why it's so frightening, because if it became airborne 116 00:06:48,240 --> 00:06:53,320 Speaker 1: or aerosol and widespread, it's could eradicate, like the planet, 117 00:06:53,400 --> 00:06:56,640 Speaker 1: pretty much of human being. Luckily, it's only been shown 118 00:06:56,680 --> 00:06:59,440 Speaker 1: to be able to spread via aerosol, like through the 119 00:06:59,480 --> 00:07:03,440 Speaker 1: air among monkeys. That's kind of cold comfort though if 120 00:07:03,480 --> 00:07:06,479 Speaker 1: you think about it, because we can get it from monkeys, 121 00:07:06,480 --> 00:07:08,480 Speaker 1: and if monkeys can give it to each other like that, 122 00:07:08,520 --> 00:07:13,720 Speaker 1: then who that's terrible. That's bad stuff. The reason why 123 00:07:13,760 --> 00:07:17,480 Speaker 1: they think a bola has not spread as one because 124 00:07:17,520 --> 00:07:20,160 Speaker 1: you can't catch it through the air, but also kind 125 00:07:20,160 --> 00:07:23,320 Speaker 1: of chillingly, it kills people too fast for them to 126 00:07:23,440 --> 00:07:26,720 Speaker 1: infect that many other people. One of the problems and 127 00:07:26,760 --> 00:07:29,760 Speaker 1: you you you've mentioned it in that story about Maballa 128 00:07:29,880 --> 00:07:33,080 Speaker 1: patient zero or at least the index patient from ninety six. 129 00:07:34,000 --> 00:07:39,960 Speaker 1: UM in Central Africa, there are a lot of burial 130 00:07:40,000 --> 00:07:43,000 Speaker 1: customs that require, like you said, the family and friends 131 00:07:43,560 --> 00:07:48,080 Speaker 1: of the deceased to wash the body sometimes to clean 132 00:07:48,120 --> 00:07:51,480 Speaker 1: the waste and food out of the body, and um 133 00:07:51,520 --> 00:07:54,320 Speaker 1: to not use protection or gloves or anything like that. 134 00:07:54,640 --> 00:07:57,160 Speaker 1: Like contact with the body is key, right, It's a 135 00:07:57,240 --> 00:08:00,440 Speaker 1: part of the ritual burial. And it's still it's like 136 00:08:00,800 --> 00:08:03,440 Speaker 1: even during this outbreak now you have like World Health 137 00:08:03,520 --> 00:08:05,960 Speaker 1: Organization people going from village to village saying do you 138 00:08:06,000 --> 00:08:07,840 Speaker 1: have any dead that we can take away to bury 139 00:08:07,880 --> 00:08:09,920 Speaker 1: and they're like, no, no one's died here, and they're 140 00:08:09,960 --> 00:08:13,960 Speaker 1: literally hiding the bodies because they don't want they're they're 141 00:08:14,000 --> 00:08:16,640 Speaker 1: deceased to not be honored in the way that they 142 00:08:16,640 --> 00:08:19,800 Speaker 1: should be based on custom and tradition. The problem is 143 00:08:19,840 --> 00:08:23,480 Speaker 1: that this custom and tradition is also simultaneously spreading the 144 00:08:23,560 --> 00:08:27,000 Speaker 1: Ebola virus. Yeah, I mean just something like that. If 145 00:08:27,040 --> 00:08:28,720 Speaker 1: they could just talk them into at least like wearing 146 00:08:28,720 --> 00:08:32,040 Speaker 1: gloves or something like, any little bit would help at 147 00:08:32,040 --> 00:08:36,640 Speaker 1: this point. Yeah. So, um, you said there's five types 148 00:08:36,679 --> 00:08:39,960 Speaker 1: of ebola. Yeah, I guess we should talk about the 149 00:08:39,960 --> 00:08:45,160 Speaker 1: philo virus family, because Ebola is a virus, and it 150 00:08:45,280 --> 00:08:49,240 Speaker 1: is a philo virus, which isn't that different from any 151 00:08:49,280 --> 00:08:52,680 Speaker 1: kind of kind of virus actually, but it is a 152 00:08:52,720 --> 00:08:56,160 Speaker 1: worm like particle that's described as hooked like a shepherd's 153 00:08:56,160 --> 00:08:59,240 Speaker 1: crook or a six or you. But you mentioned the 154 00:08:59,640 --> 00:09:02,280 Speaker 1: five ferent types and they're named after the region of 155 00:09:02,320 --> 00:09:06,040 Speaker 1: their origin, desire and pseudan strains that we talked about, 156 00:09:06,600 --> 00:09:12,200 Speaker 1: the Bunda Bugyo, the Thai forest formerly the code Duvoir, 157 00:09:12,480 --> 00:09:16,160 Speaker 1: and the rest In type as in rest in Virginia, 158 00:09:16,200 --> 00:09:20,000 Speaker 1: which is uh, you might think, yeah, but it's true. Yeah, 159 00:09:20,000 --> 00:09:23,240 Speaker 1: there was a shipment of crab eater monkeys that came 160 00:09:23,240 --> 00:09:26,280 Speaker 1: out of the Philippines, which is the origin of the 161 00:09:26,360 --> 00:09:29,840 Speaker 1: rest and type E bolavirus um. And they were sent 162 00:09:29,920 --> 00:09:32,840 Speaker 1: to U LAB, a testing facility in Rest in Virginia, 163 00:09:33,360 --> 00:09:36,200 Speaker 1: and um, a bunch of the monkeys started dying. Actually 164 00:09:36,200 --> 00:09:39,120 Speaker 1: two shipments I think of monkeys died from this. And 165 00:09:39,160 --> 00:09:42,000 Speaker 1: in the second shipment, some of the monkeys infected some 166 00:09:42,080 --> 00:09:45,240 Speaker 1: of the humans, and the humans contracted the virus, but 167 00:09:46,200 --> 00:09:49,320 Speaker 1: nobody showed symptoms. So we found out that the rest 168 00:09:49,320 --> 00:09:53,440 Speaker 1: and virus humans don't respond to. Yeah, it's not deadly 169 00:09:53,559 --> 00:09:57,680 Speaker 1: at this point at least, which is great. Um, it's great, 170 00:09:57,960 --> 00:10:02,559 Speaker 1: but when less deadly of bolivirus is definitely good. Yeah, seriously. Um. 171 00:10:02,679 --> 00:10:05,920 Speaker 1: All of the genetic information though from uh, the bola 172 00:10:06,120 --> 00:10:09,319 Speaker 1: is comes from RNA instead of DNA like US humans. 173 00:10:10,040 --> 00:10:12,360 Speaker 1: And it's really pretty basic. Compared to US, if we 174 00:10:12,440 --> 00:10:15,880 Speaker 1: have three billion base pairs of DNA, they're only about 175 00:10:15,960 --> 00:10:20,600 Speaker 1: nineteen thousand number of RNA and a philo virus, which 176 00:10:20,640 --> 00:10:23,040 Speaker 1: is uh, you know, it's pretty basic. Yeah, And the 177 00:10:23,280 --> 00:10:27,280 Speaker 1: RNA actually is basically like with any virus, it's just 178 00:10:27,440 --> 00:10:32,880 Speaker 1: there to say, here's the instructions to replicate me, and uh, 179 00:10:32,920 --> 00:10:36,679 Speaker 1: here you go. And they the virus. The Bola virus 180 00:10:36,679 --> 00:10:39,560 Speaker 1: spreads like any other virus, where it basically enters the cell. 181 00:10:40,080 --> 00:10:43,800 Speaker 1: It injects that RNA, which in turn hijacks the processes 182 00:10:43,800 --> 00:10:46,600 Speaker 1: of the cell and turns it from its regular duties 183 00:10:46,640 --> 00:10:51,040 Speaker 1: into becoming a replication machine for the virus. And it 184 00:10:51,080 --> 00:10:53,680 Speaker 1: turns out all of these UM, all of these different 185 00:10:54,400 --> 00:10:58,880 Speaker 1: virus particles viryons I think is what they're called UM, 186 00:10:58,960 --> 00:11:02,880 Speaker 1: and those things eventually overwhelmed the cell. And if it's 187 00:11:02,880 --> 00:11:07,120 Speaker 1: an enveloped UM virus like a Bola, that means that 188 00:11:07,200 --> 00:11:09,520 Speaker 1: the virus can go in and out of the cell 189 00:11:09,600 --> 00:11:15,200 Speaker 1: membrane because it's surrounded by like a fat, lipid coating UM. 190 00:11:15,240 --> 00:11:17,120 Speaker 1: It can go in and out of the host cell 191 00:11:17,280 --> 00:11:21,840 Speaker 1: without destroying the host cell. A naked virus goes in, 192 00:11:22,400 --> 00:11:26,280 Speaker 1: injects its stuff, it takes over the host cell, which 193 00:11:26,400 --> 00:11:28,640 Speaker 1: makes so many that the host cell just ruptures. And 194 00:11:28,679 --> 00:11:32,040 Speaker 1: then that's the way that the the other viruses are released. 195 00:11:32,320 --> 00:11:35,880 Speaker 1: With the bowl of virus, it just basically secretes in 196 00:11:35,880 --> 00:11:38,400 Speaker 1: a really gross way. But a cell that's been hijacked 197 00:11:38,400 --> 00:11:42,719 Speaker 1: secretes new UM BOWLA viruses. Yeah, and it uh, I 198 00:11:42,760 --> 00:11:44,200 Speaker 1: mean a lot of this is still a mystery that 199 00:11:44,280 --> 00:11:46,160 Speaker 1: we're figuring out, but they do know that it can 200 00:11:46,200 --> 00:11:48,559 Speaker 1: infect a lot of different types of cells, but mainly 201 00:11:49,320 --> 00:11:53,080 Speaker 1: attacks the immune system and then from there travels to 202 00:11:53,240 --> 00:11:55,440 Speaker 1: the lymph nodes and then the spleen and the liver 203 00:11:55,559 --> 00:11:59,000 Speaker 1: through the bloodstream, and once it's in those cells, it's 204 00:11:59,000 --> 00:12:02,120 Speaker 1: going to release a bunch of nasty chemicals. They think 205 00:12:02,120 --> 00:12:04,280 Speaker 1: it's related to the closest to the measles and the 206 00:12:04,320 --> 00:12:07,520 Speaker 1: momps actually, which um, all that stuff is helpful and 207 00:12:07,559 --> 00:12:11,360 Speaker 1: trying to figure out yours. So they think from what 208 00:12:11,400 --> 00:12:13,640 Speaker 1: they understand of the E. Boulavirus, Now, as you contracted 209 00:12:14,040 --> 00:12:17,840 Speaker 1: through contact with body fluids and it gets into your 210 00:12:17,960 --> 00:12:20,880 Speaker 1: mucous membranes or breaks in the skin, and once there 211 00:12:20,920 --> 00:12:24,720 Speaker 1: it shows a preference for immune cells. Like it goes 212 00:12:24,760 --> 00:12:27,400 Speaker 1: after talk about an aggressive virus. It goes after the 213 00:12:27,480 --> 00:12:30,040 Speaker 1: very cells that are meant to destroy it and it 214 00:12:30,120 --> 00:12:33,079 Speaker 1: messes with them. Depending on the type of cell, it'll 215 00:12:33,520 --> 00:12:37,400 Speaker 1: either make their function go hey wire, which accounts for 216 00:12:37,480 --> 00:12:41,400 Speaker 1: like a huge immune response, or it will shut down 217 00:12:42,200 --> 00:12:46,160 Speaker 1: like an immune cells defenses right, So it makes your 218 00:12:46,160 --> 00:12:48,760 Speaker 1: immune system go hey wire, but also prevents your immune 219 00:12:48,760 --> 00:12:51,440 Speaker 1: system from mounting a defense, which is why you're in 220 00:12:51,480 --> 00:12:54,080 Speaker 1: so much trouble if you contract a bowla because it 221 00:12:54,160 --> 00:12:56,640 Speaker 1: just goes after your immune system, and then once your 222 00:12:56,640 --> 00:12:59,920 Speaker 1: immune system is suppressed, Uh, it goes after other cells 223 00:13:00,040 --> 00:13:04,400 Speaker 1: like epithelial cells or endothelial cells, so like connective tissue 224 00:13:04,400 --> 00:13:10,079 Speaker 1: cells or um neurological cells, cells that line them the 225 00:13:10,120 --> 00:13:12,960 Speaker 1: interior of your blood vessels, which makes your blood vessels 226 00:13:12,960 --> 00:13:17,360 Speaker 1: weaken and start to bleed internally. Um. And it then 227 00:13:17,400 --> 00:13:19,280 Speaker 1: it like you said, it goes into your liver and 228 00:13:19,320 --> 00:13:23,800 Speaker 1: your spleen and just hijacks everything they're ultimately leading to 229 00:13:24,200 --> 00:13:27,600 Speaker 1: tissue damage and then organ failure. Yeah, that's how you 230 00:13:27,640 --> 00:13:32,160 Speaker 1: will eventually die as multi organ failure in shock. Um. 231 00:13:32,160 --> 00:13:35,280 Speaker 1: And you know you mentioned the the antibodies. That's typically 232 00:13:35,320 --> 00:13:38,480 Speaker 1: how they test for ebol anaus to looking for the 233 00:13:38,520 --> 00:13:41,840 Speaker 1: antibody instead of the virus. But like you mentioned, it 234 00:13:41,880 --> 00:13:44,280 Speaker 1: may have suppress the immune system such that they can't 235 00:13:44,280 --> 00:13:47,640 Speaker 1: even detect it. And the only test they have are 236 00:13:48,600 --> 00:13:53,240 Speaker 1: expensive and they're tough to transport, require machinery, So it's 237 00:13:53,240 --> 00:13:56,079 Speaker 1: not the kind of stuff that uh, they're sending over 238 00:13:56,120 --> 00:13:59,520 Speaker 1: to Western Central Africa for the most part. Yes, sadly, 239 00:13:59,760 --> 00:14:02,920 Speaker 1: so it makes it the fact that it's in um 240 00:14:03,160 --> 00:14:06,640 Speaker 1: often very remote locations, that the outbreaks have been kind 241 00:14:06,679 --> 00:14:12,800 Speaker 1: of um uh contained. I guess they've been relatively small. 242 00:14:13,280 --> 00:14:20,760 Speaker 1: Um I think something like people out of outbreaks since 243 00:14:20,880 --> 00:14:25,400 Speaker 1: nine Yes, I have three thousand cases in two thousand 244 00:14:25,480 --> 00:14:27,440 Speaker 1: deaths and that's up to the minute, like that it 245 00:14:27,520 --> 00:14:30,240 Speaker 1: includes this current outbreak. Yeah, this was like from three 246 00:14:30,280 --> 00:14:32,960 Speaker 1: hours ago. So that's I mean, that's if a lot 247 00:14:33,000 --> 00:14:36,080 Speaker 1: of people, especially if you live in Central or West Africa. 248 00:14:36,560 --> 00:14:38,680 Speaker 1: But if you're looking at the grand scheme of things, 249 00:14:38,800 --> 00:14:42,440 Speaker 1: especially for as virulent as this virus is, uh, that's 250 00:14:42,440 --> 00:14:45,080 Speaker 1: not that many people. So the fact that it's so 251 00:14:45,120 --> 00:14:47,440 Speaker 1: contagious that it's hard to get and that it's hard 252 00:14:47,440 --> 00:14:51,680 Speaker 1: to detect makes it very difficult to work on a bola, 253 00:14:51,800 --> 00:14:54,960 Speaker 1: work on a vaccine, work on a treatment for it, 254 00:14:55,000 --> 00:14:58,120 Speaker 1: that kind of thing. Well, and sadly, like I know 255 00:14:58,200 --> 00:15:02,800 Speaker 1: this isn't across the board, but pharmaceutical companies developed drugs 256 00:15:03,200 --> 00:15:06,080 Speaker 1: that will make them money. Uh, they're not in it 257 00:15:06,760 --> 00:15:10,560 Speaker 1: for curing the world of rare diseases that number in 258 00:15:10,600 --> 00:15:14,680 Speaker 1: the hundreds or low thousands. And basically there's it's it's 259 00:15:14,720 --> 00:15:17,160 Speaker 1: stuff to admit it, but there's not a market for 260 00:15:17,200 --> 00:15:21,600 Speaker 1: these vaccines, a money market, which is a big failure 261 00:15:21,800 --> 00:15:26,120 Speaker 1: for humanity. Yeah yeah, Well it takes the threatened life 262 00:15:26,120 --> 00:15:31,480 Speaker 1: of two American missionaries to really get the pharmaceutical industry going. 263 00:15:32,240 --> 00:15:34,960 Speaker 1: That's exactly what's happened. All right, Well, let's um take 264 00:15:35,000 --> 00:15:36,520 Speaker 1: a break here and then we'll talk about some of 265 00:15:36,520 --> 00:15:49,960 Speaker 1: the actual symptoms right after this message. Okay, you're gonna 266 00:15:50,000 --> 00:15:53,000 Speaker 1: know if you have ebola. Well, actually you won't know 267 00:15:53,280 --> 00:15:55,720 Speaker 1: for a little while. It's what's kind of scary, is 268 00:15:55,760 --> 00:15:57,560 Speaker 1: it may it may think it's something else, but when 269 00:15:57,560 --> 00:16:00,840 Speaker 1: it enters your body, Uh, it's gonna kind of just 270 00:16:00,880 --> 00:16:03,880 Speaker 1: sit there silently for two to twenty one days, typically 271 00:16:03,920 --> 00:16:06,880 Speaker 1: about four to ten, and then you're gonna start noticing 272 00:16:07,320 --> 00:16:12,440 Speaker 1: fever's headache, chill, um joints aching, You're gonna be really tired. 273 00:16:13,040 --> 00:16:17,480 Speaker 1: And then that's when you will likely be misdiagnosed, right 274 00:16:17,520 --> 00:16:21,840 Speaker 1: with malaria or something else, maybe dingay fever, uh, maybe 275 00:16:21,920 --> 00:16:24,760 Speaker 1: yellow fever, but typically malaria is the one that they 276 00:16:24,800 --> 00:16:29,240 Speaker 1: go with because the Central and West Africa, so you 277 00:16:29,280 --> 00:16:32,280 Speaker 1: know there it's lousy with malaria anyways, and it looks 278 00:16:32,320 --> 00:16:36,360 Speaker 1: exactly like malaria. It's after a couple of days of 279 00:16:36,720 --> 00:16:40,200 Speaker 1: showing symptoms that it starts to become apparent that possibly 280 00:16:40,200 --> 00:16:43,000 Speaker 1: it's a bowla. And the reason why it's because you 281 00:16:43,160 --> 00:16:46,000 Speaker 1: take a very sudden, very sharp term for the worse. 282 00:16:46,720 --> 00:16:49,560 Speaker 1: After after the first couple of days of showing the 283 00:16:49,680 --> 00:16:53,120 Speaker 1: normal flu like symptoms, Yeah, then you're gonna have um, 284 00:16:53,360 --> 00:16:58,400 Speaker 1: bloody diarrhea, jaundice, really bad sore throat, you're gonna vomit, 285 00:16:58,680 --> 00:17:01,760 Speaker 1: You're not gonna be hungry. And then once you have 286 00:17:01,840 --> 00:17:06,000 Speaker 1: symptoms for about five days, about fifty of the victims 287 00:17:06,040 --> 00:17:09,480 Speaker 1: will develop rashes on their shoulders and like chest area. 288 00:17:10,040 --> 00:17:13,800 Speaker 1: And that's the second stage. There's still yet a third stage. 289 00:17:14,320 --> 00:17:17,600 Speaker 1: It's about this time where um, you if you are 290 00:17:17,720 --> 00:17:21,679 Speaker 1: going to have a large amounts of bleeding, this is 291 00:17:21,680 --> 00:17:26,120 Speaker 1: where it's going to start to happen after several days. UM. Apparently, 292 00:17:26,200 --> 00:17:30,159 Speaker 1: in very aggressive cases of ebola, like the Zaire type, 293 00:17:31,000 --> 00:17:33,840 Speaker 1: you can die like in six days after symptoms, which 294 00:17:33,880 --> 00:17:38,160 Speaker 1: is extraordinarily mind boggling lee fast for something like this, UM. 295 00:17:38,280 --> 00:17:41,520 Speaker 1: And the thanks to our friends at the movie Outbreak. 296 00:17:42,080 --> 00:17:44,000 Speaker 1: When people think of a bowla, they think of people 297 00:17:44,080 --> 00:17:48,600 Speaker 1: like squirting blood out of their eyes. Um, there is 298 00:17:48,720 --> 00:17:52,200 Speaker 1: typically some sort of internal bleeding with Ebola. It is 299 00:17:52,240 --> 00:17:55,840 Speaker 1: a hemorrhagic fever. After all, about fifty percent of patients 300 00:17:55,880 --> 00:18:00,119 Speaker 1: will have this bleeding, mainly in the gastro intestinal tract. So, 301 00:18:00,320 --> 00:18:02,480 Speaker 1: but it's not gonna it's not coming out of your 302 00:18:02,520 --> 00:18:05,240 Speaker 1: eyes or anything like that. But it is a result 303 00:18:05,240 --> 00:18:08,440 Speaker 1: of the Ebola virus going after those endothelial cells, those 304 00:18:08,440 --> 00:18:11,360 Speaker 1: cells that UM make up the structure of the blood vessels, 305 00:18:11,640 --> 00:18:14,719 Speaker 1: and going after the tissues and the organs and UM 306 00:18:14,760 --> 00:18:18,040 Speaker 1: just degrading them. Basically. It's also a part of your 307 00:18:18,040 --> 00:18:20,840 Speaker 1: immune response. Like you can have an over inflammation as 308 00:18:20,880 --> 00:18:23,480 Speaker 1: a result too. So all this stuff is adding up 309 00:18:23,520 --> 00:18:26,800 Speaker 1: to you bleeding internally. And we should say, though, chuck, 310 00:18:27,080 --> 00:18:30,920 Speaker 1: like you're not gonna bleed to death. Um, people who 311 00:18:31,000 --> 00:18:34,800 Speaker 1: die from a vote bullet typically die as a result 312 00:18:34,920 --> 00:18:37,680 Speaker 1: of UM that internal bleeding may lower their blood pressure 313 00:18:37,960 --> 00:18:40,920 Speaker 1: and they'll die from hypotensive shock. Yeah. So, I mean 314 00:18:40,960 --> 00:18:43,600 Speaker 1: what happens is your your your blood tries to clot 315 00:18:43,800 --> 00:18:48,200 Speaker 1: thanks to proteins, and there's so much clotting going on 316 00:18:48,320 --> 00:18:50,760 Speaker 1: and so many proteins hard at work, it can't keep 317 00:18:50,840 --> 00:18:53,920 Speaker 1: up essentially, and once the tissue damage starts, those proteins 318 00:18:53,920 --> 00:18:58,320 Speaker 1: are busy and you're bleeding is uncontrolled at that point, right, 319 00:18:58,520 --> 00:19:02,600 Speaker 1: and it's very sad result. Speaking of proteins, ebola makes 320 00:19:02,760 --> 00:19:06,560 Speaker 1: a two types of this, one specific protein a glycoprotein, 321 00:19:06,920 --> 00:19:11,280 Speaker 1: and one is pretty straightforward. It allows the ebola to 322 00:19:11,400 --> 00:19:15,120 Speaker 1: move in and out of a host cell. The second 323 00:19:15,400 --> 00:19:20,680 Speaker 1: use of them, the it's called secreted glycoprotein s GP. 324 00:19:21,600 --> 00:19:26,800 Speaker 1: That stuff basically goes out and hushes the immune response. 325 00:19:27,320 --> 00:19:31,840 Speaker 1: It says, you'd be quiet, be still, and it just 326 00:19:31,880 --> 00:19:37,520 Speaker 1: basically goes in shuts down the The antigens is what 327 00:19:37,560 --> 00:19:41,040 Speaker 1: they're called, that come after things like ebola and kill them, 328 00:19:41,400 --> 00:19:44,560 Speaker 1: and it basically just ties them. It ties them up, 329 00:19:44,560 --> 00:19:49,000 Speaker 1: in gags them. Wow, I know. And that it's just crazy. Yeah, 330 00:19:49,080 --> 00:19:53,399 Speaker 1: I mean, it's a nasty, nasty virus um. What we 331 00:19:53,480 --> 00:19:55,399 Speaker 1: know about it right now is and this is one 332 00:19:55,400 --> 00:19:58,560 Speaker 1: of the other scariest parts is that, uh, they are 333 00:19:58,600 --> 00:20:03,680 Speaker 1: still not for sure where ebola hangs out for the 334 00:20:03,760 --> 00:20:06,359 Speaker 1: years that it lies dormant in the world, because it 335 00:20:06,400 --> 00:20:08,640 Speaker 1: doesn't go away. That went away, it wouldn't come back. 336 00:20:09,000 --> 00:20:12,119 Speaker 1: It just means it's out there somewhere in a reservoir 337 00:20:12,160 --> 00:20:15,480 Speaker 1: and a host. It is a zoonotic disease, so it 338 00:20:15,520 --> 00:20:19,359 Speaker 1: occurs naturally in animals, but obviously it's transmitted to humans, 339 00:20:19,400 --> 00:20:23,280 Speaker 1: and like I said, it doesn't go away. What they 340 00:20:23,320 --> 00:20:26,080 Speaker 1: have to look for and what they've tested and killed 341 00:20:26,840 --> 00:20:32,040 Speaker 1: scores of animals doing, is to see if an animal 342 00:20:32,119 --> 00:20:36,119 Speaker 1: can survive the virus, because if they can survive the virus, 343 00:20:36,160 --> 00:20:40,399 Speaker 1: they are a good candidate to be the host a reservoir. Yeah, exactly. Um, 344 00:20:40,440 --> 00:20:42,920 Speaker 1: So they've tested all kinds of animals and what they're 345 00:20:43,880 --> 00:20:47,080 Speaker 1: pretty sure of but still not a cent sure of, 346 00:20:47,720 --> 00:20:50,320 Speaker 1: is that it is the fruit bat. Yeah, it looks 347 00:20:50,320 --> 00:20:52,880 Speaker 1: a lot like the fruit bat. The reason that they've 348 00:20:52,960 --> 00:20:55,720 Speaker 1: been having such a hard time finding it is because 349 00:20:56,080 --> 00:21:00,320 Speaker 1: from after the six outbreak, Ebola just like went island 350 00:21:00,400 --> 00:21:03,320 Speaker 1: until the nineties until there's another outbreak in the nineties, 351 00:21:03,600 --> 00:21:07,080 Speaker 1: which is really suspicious as far as epidemiology is concerned, 352 00:21:07,119 --> 00:21:10,080 Speaker 1: because that's not supposed to happen. So it made them 353 00:21:10,119 --> 00:21:13,600 Speaker 1: think that maybe there was some exotic animal or exotic 354 00:21:13,720 --> 00:21:17,280 Speaker 1: plant or something that was acting as the reservoir. Um. 355 00:21:17,359 --> 00:21:19,280 Speaker 1: But now they're starting to think more and more that yeah, 356 00:21:19,280 --> 00:21:22,720 Speaker 1: it's the common fruit bat. Yeah, because they fruit bats 357 00:21:22,800 --> 00:21:26,040 Speaker 1: can have the virus and not get sick. And that 358 00:21:26,200 --> 00:21:28,600 Speaker 1: is uh. And they've you know, fruit bats are in 359 00:21:28,640 --> 00:21:33,399 Speaker 1: locations where they have the index cases. Yeah, pointing towards 360 00:21:33,440 --> 00:21:36,200 Speaker 1: the old fruit bat. Yeah. Plus you can get they've 361 00:21:36,240 --> 00:21:39,719 Speaker 1: shown um that ebola can be transmitted through bat guano, 362 00:21:40,240 --> 00:21:44,280 Speaker 1: which is bat poop, which is what happened in uh contagion. 363 00:21:45,240 --> 00:21:49,199 Speaker 1: Was it bat poop? Yeah, that's scene where um Gwyneth 364 00:21:49,200 --> 00:21:52,920 Speaker 1: Paltrow's is eating a bowl of bat poop on a bat. 365 00:21:53,440 --> 00:21:55,680 Speaker 1: Spoiler alert, I think it was through a bat through 366 00:21:55,680 --> 00:21:59,520 Speaker 1: a pig that eventually found this way to a restaurant. Yeah. Yeah, 367 00:21:59,560 --> 00:22:01,119 Speaker 1: The way that movie unfolds at the end, man is 368 00:22:01,160 --> 00:22:03,840 Speaker 1: just chilling. Yeah. So, like we said, we know how 369 00:22:03,840 --> 00:22:08,440 Speaker 1: it's transmitted, uh event through first human animal contact, then 370 00:22:08,480 --> 00:22:12,119 Speaker 1: the infection, and then through you know, bodily fluids and 371 00:22:12,119 --> 00:22:16,680 Speaker 1: secretions and uh dirty needles is the biggest culprit though, 372 00:22:16,720 --> 00:22:20,240 Speaker 1: and depending on how you get it, uh could affect 373 00:22:20,359 --> 00:22:24,480 Speaker 1: the outcome. If you have gotten it through a needle, 374 00:22:25,200 --> 00:22:30,040 Speaker 1: you have on chance of dying since nineteen seventy six, Um, 375 00:22:30,080 --> 00:22:33,560 Speaker 1: if you've gotten it other uh like through other contact, um, 376 00:22:33,600 --> 00:22:35,520 Speaker 1: it can be about eighty percent, So I guess that's 377 00:22:35,520 --> 00:22:38,040 Speaker 1: where they come up with the rate. Yeah, I think 378 00:22:38,040 --> 00:22:44,760 Speaker 1: the hundred percent rate was for the outbreaks specifically. Yeah, 379 00:22:44,880 --> 00:22:48,560 Speaker 1: a hundred percent of people who transmitted it via needle 380 00:22:48,800 --> 00:22:53,359 Speaker 1: in that outbreak died. That is insane. Yeah, and uh, 381 00:22:53,480 --> 00:22:55,880 Speaker 1: the incubation period is different to three to six days 382 00:22:55,880 --> 00:22:58,320 Speaker 1: for a patient if you're stuck with a needle, versus 383 00:22:58,359 --> 00:23:02,119 Speaker 1: five to nine for intact exposure. Yeah. So, Chuck, we're 384 00:23:02,160 --> 00:23:05,320 Speaker 1: gonna talk about how to prevent the spread of ebola 385 00:23:05,720 --> 00:23:09,000 Speaker 1: up next, and what's going on right now with possible cure. 386 00:23:10,400 --> 00:23:22,200 Speaker 1: So so, up until recently when we had these patients 387 00:23:22,400 --> 00:23:25,840 Speaker 1: shipped over to America, your only chances of contacting ebola's 388 00:23:25,880 --> 00:23:28,920 Speaker 1: if you went over to Central or West Africa, um, 389 00:23:29,000 --> 00:23:31,440 Speaker 1: which a lot of people do, a lot of people 390 00:23:31,480 --> 00:23:33,800 Speaker 1: live there as well. Uh. And they suggest that if 391 00:23:33,840 --> 00:23:37,119 Speaker 1: you find yourself over there, you not dwell in forests 392 00:23:37,240 --> 00:23:39,640 Speaker 1: or caves because that's where the fruit bats are. Well. 393 00:23:39,640 --> 00:23:42,520 Speaker 1: Plus you can contract it from guerrillas and stuff too. Sure, 394 00:23:42,840 --> 00:23:46,080 Speaker 1: so you shouldn't eat bush meat, shouldn't touch dead guerrillas, 395 00:23:46,359 --> 00:23:49,680 Speaker 1: shouldn't touch dead animals, period, try and limit that contact. Yeah, 396 00:23:49,720 --> 00:23:52,719 Speaker 1: that's probably a good idea. And of course, UM, if 397 00:23:52,760 --> 00:23:56,080 Speaker 1: you're over there working as a healthcare worker, or if 398 00:23:56,119 --> 00:23:59,040 Speaker 1: you're just over there working or living, you should avoid 399 00:23:59,160 --> 00:24:03,040 Speaker 1: any kind of reuse needle because that's your guaranteed to 400 00:24:03,040 --> 00:24:06,800 Speaker 1: get it. Almost So we mentioned already the burial practices 401 00:24:06,880 --> 00:24:10,719 Speaker 1: that are becoming a vector for disease, the spread of 402 00:24:11,000 --> 00:24:14,800 Speaker 1: Ebola UM. There's also a couple of other factors that 403 00:24:14,840 --> 00:24:18,720 Speaker 1: are coming into account. They the they think that if 404 00:24:18,840 --> 00:24:23,360 Speaker 1: the fruit bat is the reservoir for Ebola UM, then 405 00:24:23,400 --> 00:24:25,840 Speaker 1: the reason that it's spread because it was always just 406 00:24:25,880 --> 00:24:29,280 Speaker 1: in Central Africa before. Now suddenly it's in West Africa. 407 00:24:29,680 --> 00:24:34,840 Speaker 1: The March two thousand and fourteen outbreaks started in Guinea UM. 408 00:24:35,560 --> 00:24:38,320 Speaker 1: They think that it's because the fruit bats migration patterns 409 00:24:38,400 --> 00:24:41,480 Speaker 1: might be shifting because of climate change, so that could 410 00:24:41,520 --> 00:24:44,920 Speaker 1: be fostering the spread of ebola. One of the other 411 00:24:44,960 --> 00:24:49,160 Speaker 1: problems with this is that UM there's a very widespread 412 00:24:49,240 --> 00:24:53,240 Speaker 1: lack of trust for the governments of West African countries 413 00:24:53,960 --> 00:24:59,720 Speaker 1: and UM, so there's a lot of misunderstanding, misinformation. There's 414 00:24:59,800 --> 00:25:04,320 Speaker 1: very little trust for the World Health authorities. UM, there's 415 00:25:04,440 --> 00:25:07,080 Speaker 1: very little trust for the government some of the governments 416 00:25:07,080 --> 00:25:10,080 Speaker 1: are using it as political tools like um, yeah, and 417 00:25:10,160 --> 00:25:13,960 Speaker 1: I think Sierra Leone they call it East Bowla because 418 00:25:14,000 --> 00:25:17,440 Speaker 1: the government in power their main opposition strongholds in the East, 419 00:25:17,480 --> 00:25:19,639 Speaker 1: so they're blaming the East on a bullet. It's just 420 00:25:20,119 --> 00:25:22,080 Speaker 1: there's a lot of stuff going on over that it's 421 00:25:22,119 --> 00:25:25,400 Speaker 1: not helping with this particular outbreak right now. Yeah, that's 422 00:25:25,400 --> 00:25:28,760 Speaker 1: really sad. Uh you mentioned about it. Start This the 423 00:25:28,840 --> 00:25:31,520 Speaker 1: strain or this outbreak started in Guinea. They think they've 424 00:25:31,560 --> 00:25:34,960 Speaker 1: traced traced it back to patient zero, two year old 425 00:25:35,280 --> 00:25:39,480 Speaker 1: patient there. It was about eight months ago. Um, they 426 00:25:39,520 --> 00:25:43,520 Speaker 1: think that this toddler died. They she suffered from fever 427 00:25:44,320 --> 00:25:47,880 Speaker 1: and black stool and vomiting and then died on December 428 00:25:47,920 --> 00:25:51,040 Speaker 1: six of last year, even though they don't know how 429 00:25:51,080 --> 00:25:55,000 Speaker 1: she got it. And then shortly after her mother died 430 00:25:55,160 --> 00:25:58,040 Speaker 1: on December. Then her three year old sister died on 431 00:25:58,080 --> 00:26:01,680 Speaker 1: December twenty nine, and then her grandmother died on January one. 432 00:26:02,640 --> 00:26:05,720 Speaker 1: And this is all in the village of I know, 433 00:26:05,760 --> 00:26:09,600 Speaker 1: I'm probably gonna butcher this, but it's Meliando and Guika 434 00:26:09,680 --> 00:26:14,600 Speaker 1: do nice. It's my my best effort there in Guinea. Yeah, 435 00:26:14,720 --> 00:26:16,960 Speaker 1: And then that's that's the area is really close to 436 00:26:17,000 --> 00:26:19,720 Speaker 1: the Sierra Leone and Liberia borders, which explains a lot. 437 00:26:20,240 --> 00:26:22,440 Speaker 1: And then it spread outside their village to people that 438 00:26:22,560 --> 00:26:26,200 Speaker 1: attended the grandmother's funeral because of course, again they had 439 00:26:26,240 --> 00:26:29,400 Speaker 1: close contact with the body. And then two of those 440 00:26:29,440 --> 00:26:34,360 Speaker 1: funeral attendees brought that back to their village. Than healthcare 441 00:26:34,440 --> 00:26:39,680 Speaker 1: workers there and family members got sick, and healthcare worker 442 00:26:39,800 --> 00:26:43,399 Speaker 1: and Guika do is Uh was suspected to have triggered 443 00:26:43,400 --> 00:26:47,040 Speaker 1: the spread to three other villages in February of this year. 444 00:26:47,760 --> 00:26:50,960 Speaker 1: And that just shows man again, just like in contagion, 445 00:26:51,000 --> 00:26:54,159 Speaker 1: it's just like from person to person, and all of 446 00:26:54,200 --> 00:26:57,240 Speaker 1: a sudden it's in places nowhere close to where it started, 447 00:26:57,720 --> 00:26:59,840 Speaker 1: and then all of a sudden, it's in places not 448 00:27:00,080 --> 00:27:03,200 Speaker 1: super far from where it started. Did you know that there? 449 00:27:03,240 --> 00:27:06,480 Speaker 1: Did you hear about the health care bots that caught 450 00:27:06,520 --> 00:27:10,280 Speaker 1: the outbreak before the announcement there? There's these bots. I 451 00:27:10,320 --> 00:27:12,320 Speaker 1: can't remember the name of the company that runs them, 452 00:27:12,320 --> 00:27:14,920 Speaker 1: but they're basically just their job is to just scan 453 00:27:15,000 --> 00:27:19,600 Speaker 1: the internet, scan journal articles, scan um news. They're probably 454 00:27:19,680 --> 00:27:22,120 Speaker 1: hitting the deep Way, by a guess, and they are 455 00:27:22,119 --> 00:27:25,159 Speaker 1: looking for any and all mentions of things, um, that 456 00:27:25,280 --> 00:27:28,200 Speaker 1: have to do with outbreaks, I think health care stuff 457 00:27:28,200 --> 00:27:31,159 Speaker 1: in general. But nine days before the announcement by the 458 00:27:31,200 --> 00:27:35,800 Speaker 1: Guinea authorities, Um, these bots caught this outbreak in that 459 00:27:35,960 --> 00:27:40,760 Speaker 1: area nine days. That's pretty impressive stuff. And hopefully we'll 460 00:27:40,800 --> 00:27:43,440 Speaker 1: come in in handy further down the road when people 461 00:27:43,920 --> 00:27:46,760 Speaker 1: learn to trust that. Yeah, but still, this one's been 462 00:27:46,840 --> 00:27:49,840 Speaker 1: the worst yet. And one of the scariest reasons is 463 00:27:49,880 --> 00:27:54,080 Speaker 1: because it's happening so fast. Um, the common methods we 464 00:27:54,080 --> 00:27:57,240 Speaker 1: have for dealing with it aren't working quick enough. Well, 465 00:27:57,560 --> 00:27:59,760 Speaker 1: the common methods we have for dealing with it are 466 00:27:59,800 --> 00:28:03,120 Speaker 1: as follows. Like you said, there's no there's no way 467 00:28:03,119 --> 00:28:05,960 Speaker 1: to to well, there are, there are ways, there's tests 468 00:28:06,000 --> 00:28:08,800 Speaker 1: that show this is a bowla. They're tough to get 469 00:28:08,840 --> 00:28:13,680 Speaker 1: to these areas, so it's mostly you know, um, shoe 470 00:28:13,760 --> 00:28:18,520 Speaker 1: leather diagnoses I guess um. And then the other aspect 471 00:28:18,600 --> 00:28:22,320 Speaker 1: of it is that there's no treatment aside from rehydration, 472 00:28:23,040 --> 00:28:25,000 Speaker 1: Like consider that chuck. Like, if you're struck down with 473 00:28:25,000 --> 00:28:28,440 Speaker 1: a bowla, guess what treatment they give you? Ivy fluids. 474 00:28:28,960 --> 00:28:31,600 Speaker 1: That's it. They isolate you and give you ivy fluids 475 00:28:31,600 --> 00:28:36,239 Speaker 1: to try to replenish what you're vomiting out, diary ng 476 00:28:36,240 --> 00:28:40,720 Speaker 1: out and um losing in sweat. Yeah, that's the treatment. 477 00:28:40,840 --> 00:28:44,320 Speaker 1: Well it was until about five hours ago. Yeah, yeah, 478 00:28:44,360 --> 00:28:47,160 Speaker 1: this UM. I wish we had some sort of a 479 00:28:47,320 --> 00:28:51,840 Speaker 1: news wire. Jerry knows one. Remember when I went do 480 00:28:52,920 --> 00:28:55,840 Speaker 1: Do do and then that she had one accompanying and 481 00:28:56,040 --> 00:28:57,920 Speaker 1: and it might not even be out yet. So let's 482 00:28:57,960 --> 00:29:05,680 Speaker 1: debut it right now, Chuck. This is fresh off the 483 00:29:05,720 --> 00:29:09,920 Speaker 1: wire via CNN. UM. What they have now are an 484 00:29:09,920 --> 00:29:14,480 Speaker 1: experimental serum um called z MAP and it's made by 485 00:29:14,600 --> 00:29:19,520 Speaker 1: MAP Biopharmaceutical. UM. I'm not sure where they're located, but 486 00:29:19,600 --> 00:29:24,280 Speaker 1: there's another another one called Kentucky Bioprocessing, which manufactures another 487 00:29:24,360 --> 00:29:26,840 Speaker 1: version of the drug. And they're the ones who are 488 00:29:26,880 --> 00:29:31,960 Speaker 1: making this brand new, very experimental drug, and so new, 489 00:29:32,080 --> 00:29:36,000 Speaker 1: so experimental that this week the World Health Organization had 490 00:29:36,040 --> 00:29:41,280 Speaker 1: to get a group of ethicis together to say, should 491 00:29:41,280 --> 00:29:45,840 Speaker 1: we use this stuff? Because the normal testing process is 492 00:29:46,160 --> 00:29:49,600 Speaker 1: way way longer than what they've got time wise, so 493 00:29:49,760 --> 00:29:52,840 Speaker 1: can we speed this through? Should we use it? The 494 00:29:53,240 --> 00:29:57,040 Speaker 1: WHO panel said unanimously, yes, it's ethical. We've got to 495 00:29:57,040 --> 00:29:59,400 Speaker 1: do something. I think the u N came on board 496 00:29:59,480 --> 00:30:02,000 Speaker 1: just a few hours ago as well, and so they 497 00:30:02,040 --> 00:30:05,840 Speaker 1: treated um the two Americans Dr Kent Brantley and Nancy 498 00:30:06,080 --> 00:30:11,280 Speaker 1: right bowl they are recovering. But sadly, Miguel Pijaris, the 499 00:30:11,280 --> 00:30:14,760 Speaker 1: Spanish priest, died this morning even though he was treated 500 00:30:14,960 --> 00:30:16,840 Speaker 1: with the z MAP as well. So it has a 501 00:30:16,960 --> 00:30:19,640 Speaker 1: two thirds success rate at this point so far. But 502 00:30:19,720 --> 00:30:22,000 Speaker 1: that's the deal with experimental drugs is they don't know 503 00:30:22,560 --> 00:30:24,920 Speaker 1: if it's gonna work, or how it's gonna work, or 504 00:30:24,920 --> 00:30:28,640 Speaker 1: who it's gonna work on. Um, it's a it's sort 505 00:30:28,680 --> 00:30:32,440 Speaker 1: of an ethical quandary because if there's already people saying, well, 506 00:30:32,480 --> 00:30:35,440 Speaker 1: you've used it on these Americans, Uh, why haven't you 507 00:30:35,520 --> 00:30:38,520 Speaker 1: used it in Liberia? It's sort of a no win 508 00:30:38,720 --> 00:30:44,120 Speaker 1: situation this early because if they had died. Uh. And 509 00:30:44,120 --> 00:30:47,200 Speaker 1: this is from Paul root Wolp. He's a director for 510 00:30:47,320 --> 00:30:49,840 Speaker 1: ethics at Emery here in Atlanta. He said, you know, 511 00:30:49,880 --> 00:30:53,240 Speaker 1: if it had killed both these Americans, people wouldn't be 512 00:30:53,280 --> 00:30:55,800 Speaker 1: saying anything. But because it worked, they're saying, why isn't 513 00:30:55,800 --> 00:30:57,640 Speaker 1: it being used in Africa? He said, But if we 514 00:30:57,680 --> 00:31:00,920 Speaker 1: would have taken it to Africa and it killed them, 515 00:31:01,000 --> 00:31:03,920 Speaker 1: they would have said Americans are experimenting this drug on 516 00:31:04,040 --> 00:31:06,960 Speaker 1: poor Africans. Well, the way they've done it then is 517 00:31:07,000 --> 00:31:11,000 Speaker 1: exactly right. They experimented with Americans and then ship the 518 00:31:11,000 --> 00:31:14,240 Speaker 1: rest of it to Liberia. The Liberia has the remaining 519 00:31:14,280 --> 00:31:16,280 Speaker 1: stock of z MAP right now. There's no more of 520 00:31:16,320 --> 00:31:18,680 Speaker 1: it in the US. It's all in Liberia. Yeah, they 521 00:31:18,720 --> 00:31:20,920 Speaker 1: applied for it, and they're like you said, they've got 522 00:31:20,960 --> 00:31:23,480 Speaker 1: it all and they're already out and uh it takes 523 00:31:23,480 --> 00:31:26,400 Speaker 1: a while to make. Well, it's they've figured out some 524 00:31:26,440 --> 00:31:29,440 Speaker 1: ways to make it even faster. So what um z 525 00:31:29,640 --> 00:31:35,840 Speaker 1: MAP is is called a monoclonal antibody treatment therapy. Basically, 526 00:31:36,240 --> 00:31:42,480 Speaker 1: um they they introduce something like ebola into in this case, 527 00:31:42,520 --> 00:31:47,120 Speaker 1: a tobacco plant, and they create antibodies. The plant creates 528 00:31:47,160 --> 00:31:50,280 Speaker 1: antibodies to the virus, and then they say, okay, these 529 00:31:50,280 --> 00:31:53,680 Speaker 1: are the antibodies we need for ebola. Let's synthesize them. 530 00:31:53,880 --> 00:31:57,840 Speaker 1: And they make synthetic antibodies, and they take those synthetic anybodies, 531 00:31:57,840 --> 00:32:02,280 Speaker 1: the monoclonal anybodies, they inject them into you, the ebola patient, 532 00:32:02,680 --> 00:32:07,640 Speaker 1: and these anybodies go in and mimic your body's immune response, 533 00:32:08,240 --> 00:32:11,720 Speaker 1: which in turn mounts a real immune response and then 534 00:32:11,800 --> 00:32:14,479 Speaker 1: fights off the BOWLA virus. And they only just use 535 00:32:14,560 --> 00:32:17,360 Speaker 1: it for a BOWLA. They try this on cancer, on 536 00:32:17,400 --> 00:32:22,080 Speaker 1: all sorts of other viruses. So monoclonnell anybody therapy isn't new, 537 00:32:22,280 --> 00:32:25,800 Speaker 1: but using it against ebola, the specific one for a 538 00:32:25,880 --> 00:32:30,760 Speaker 1: bola is new. And then also using tobacco plants as 539 00:32:30,840 --> 00:32:35,360 Speaker 1: the the source of the antibodies, it's fairly new too, 540 00:32:35,520 --> 00:32:37,280 Speaker 1: but it makes it so that you can turn it 541 00:32:37,320 --> 00:32:40,600 Speaker 1: over a lot faster. Pretty cool stuff. Yeah, that is 542 00:32:40,680 --> 00:32:43,040 Speaker 1: very cool. Uh, but like we said, it's so new. 543 00:32:43,080 --> 00:32:46,360 Speaker 1: I mean they've literally just treated these few patients and um, 544 00:32:47,280 --> 00:32:50,520 Speaker 1: one of them died. So, uh, the jury is out. 545 00:32:50,600 --> 00:32:52,600 Speaker 1: In the coming days, we're gonna learn a lot more 546 00:32:52,640 --> 00:32:57,200 Speaker 1: about z MAP so hopefully it'll save Liberia. Yeah, they've 547 00:32:58,160 --> 00:33:00,880 Speaker 1: I never knew this either. An out break is considered 548 00:33:00,960 --> 00:33:04,960 Speaker 1: over after there's been forty two days straight, which is 549 00:33:05,000 --> 00:33:10,320 Speaker 1: double the incubation period um without any new cases. So um, 550 00:33:10,480 --> 00:33:12,960 Speaker 1: everyone's hoping for that forty two day period very soon. 551 00:33:14,480 --> 00:33:18,400 Speaker 1: I'm hoping for it. You got anything else? No, did 552 00:33:18,400 --> 00:33:22,280 Speaker 1: we ever mentioned Marburg virus? No, that is a cousin 553 00:33:22,560 --> 00:33:25,440 Speaker 1: that is also deadly right, it's the other it's the 554 00:33:25,520 --> 00:33:28,240 Speaker 1: other Nona bowl of virus and the file of virus family. 555 00:33:28,760 --> 00:33:31,800 Speaker 1: It is deadly, but it's extraordinarily rare. It's named after 556 00:33:31,840 --> 00:33:33,920 Speaker 1: a German town where there is an outbreak in the 557 00:33:33,960 --> 00:33:37,520 Speaker 1: sixties because of some monkeys that were shipped for testing. Wow, 558 00:33:37,560 --> 00:33:40,760 Speaker 1: so I guess it's a disease naming convention. Here is 559 00:33:40,760 --> 00:33:43,640 Speaker 1: it they? Or everywhere? Is it? Name it after where 560 00:33:43,640 --> 00:33:51,040 Speaker 1: it started? Bola Marburg? Yeah? Here? Yeah, there you have it. 561 00:33:51,840 --> 00:33:56,960 Speaker 1: That's up to the date. Ebola info. Yes, I don't 562 00:33:56,960 --> 00:33:58,560 Speaker 1: have anything else. You don't need to know, but you 563 00:33:58,560 --> 00:34:00,720 Speaker 1: know what you guys, if you want to follow this, um, 564 00:34:00,760 --> 00:34:04,240 Speaker 1: we should follow up in our video series. You better 565 00:34:04,280 --> 00:34:06,920 Speaker 1: believe it that you can find on our YouTube channel. UM. 566 00:34:06,960 --> 00:34:08,640 Speaker 1: We use that. We take you in the studio to 567 00:34:08,719 --> 00:34:11,160 Speaker 1: kind of follow up on some stories, talk about news 568 00:34:11,160 --> 00:34:14,400 Speaker 1: the items, or make corrections. It comes out every Monday. Yeah, 569 00:34:14,480 --> 00:34:17,120 Speaker 1: and you can go to see that at I think 570 00:34:17,120 --> 00:34:19,960 Speaker 1: it's our YouTube channel, Josh and Chuck. Yeah, so we'll 571 00:34:19,960 --> 00:34:24,080 Speaker 1: follow up on this as things develop. Good thinking, Chuck. Uh. 572 00:34:24,120 --> 00:34:26,160 Speaker 1: If you want to learn more about the ins and 573 00:34:26,200 --> 00:34:28,800 Speaker 1: outs of ebola, you can type people into the search 574 00:34:28,840 --> 00:34:30,719 Speaker 1: bar How stuff works dot Com and since I said 575 00:34:30,760 --> 00:34:35,239 Speaker 1: search bar, it's time for a listener mail, I'm gonna 576 00:34:35,280 --> 00:34:40,759 Speaker 1: call this uh guy making a move. Oh yeah, So 577 00:34:40,960 --> 00:34:43,120 Speaker 1: Corey Barker wrote us in and says, Hey, I just 578 00:34:43,120 --> 00:34:45,640 Speaker 1: want to thank you guys, um, first of all for 579 00:34:45,680 --> 00:34:48,160 Speaker 1: all the hard work you do, and also for inspiring 580 00:34:48,160 --> 00:34:50,400 Speaker 1: me to make a move in my career. My day 581 00:34:50,480 --> 00:34:53,680 Speaker 1: job involves a completely ridiculous amount of driving. You guys 582 00:34:53,719 --> 00:34:56,719 Speaker 1: have always been instrumental in keeping me awake. Um. I've 583 00:34:56,760 --> 00:34:58,400 Speaker 1: had people tell me on and off for years, you 584 00:34:58,400 --> 00:35:01,919 Speaker 1: should do radio, because Corey's got a great voice, he said. 585 00:35:01,920 --> 00:35:03,880 Speaker 1: I would always kind of scoff and think how impossible 586 00:35:03,880 --> 00:35:06,000 Speaker 1: that would be. But recently I decided that I would 587 00:35:06,040 --> 00:35:09,160 Speaker 1: try it out. I invested in some decent studio recording equipment, 588 00:35:09,440 --> 00:35:13,400 Speaker 1: made a few audition tapes I guess digital files, and 589 00:35:13,640 --> 00:35:16,400 Speaker 1: as of last week, I signed my first audio book contract. 590 00:35:17,400 --> 00:35:21,759 Speaker 1: Yeah that's awesome, Like, I'm gonna do this. You can? 591 00:35:21,960 --> 00:35:23,640 Speaker 1: Is it that easy? Yeah? Well, I don't know if 592 00:35:23,640 --> 00:35:25,280 Speaker 1: it's easy. I think you have to add some talent. 593 00:35:25,320 --> 00:35:28,239 Speaker 1: But I think there's plenty of course self published authors 594 00:35:28,280 --> 00:35:31,359 Speaker 1: on Amazon, and they're looking for people to make audiobook 595 00:35:31,480 --> 00:35:33,839 Speaker 1: versions of their stuff. That's awesome. Well that's what he did, 596 00:35:33,880 --> 00:35:35,600 Speaker 1: he said. He said, we deserve a lot of credit, 597 00:35:35,880 --> 00:35:38,840 Speaker 1: since if I didn't listen so much to audio while driving, 598 00:35:39,239 --> 00:35:42,160 Speaker 1: I would never have decided to take this plunge. Anyway, 599 00:35:42,200 --> 00:35:44,120 Speaker 1: I decided I would try to repay a slight amount 600 00:35:44,160 --> 00:35:46,319 Speaker 1: of what I've received from you guys by creating an 601 00:35:46,320 --> 00:35:48,280 Speaker 1: ad that you could force all the Other Stuff podcast 602 00:35:48,360 --> 00:35:50,200 Speaker 1: to play. I think this is a good idea. If 603 00:35:50,200 --> 00:35:51,920 Speaker 1: you like it used as much as you want, I 604 00:35:51,920 --> 00:35:55,520 Speaker 1: surrender all rights, keep on trucking. You will always have 605 00:35:55,560 --> 00:35:59,080 Speaker 1: at least one listener, and that is Corey Barker. Uh 606 00:35:59,080 --> 00:36:01,160 Speaker 1: And he said, ps a side to start writing again 607 00:36:01,200 --> 00:36:04,120 Speaker 1: as well, thanks to you guys, because your episodes have 608 00:36:04,200 --> 00:36:08,000 Speaker 1: spawned some amazing short story ideas. So Corey, let's go 609 00:36:08,000 --> 00:36:10,160 Speaker 1: ahead and hear your ad for stuff you should know 610 00:36:10,320 --> 00:36:14,560 Speaker 1: right now. Enrich your mind, explore new horizons, and learn 611 00:36:14,600 --> 00:36:18,320 Speaker 1: about the world around you. Stuff you should know Tuesdays 612 00:36:18,320 --> 00:36:22,719 Speaker 1: and Thursdays on how Stuff Works dot com. Man, how 613 00:36:22,719 --> 00:36:25,640 Speaker 1: about that? Thank you, Corey, good voice. I don't blame you. 614 00:36:25,800 --> 00:36:30,359 Speaker 1: We're gonna totally oppress the other podcast with this. Yeah, 615 00:36:30,360 --> 00:36:31,920 Speaker 1: And I told him to listen out for this, and 616 00:36:31,960 --> 00:36:33,799 Speaker 1: he wrote back saying, I'll make sure I have an 617 00:36:33,880 --> 00:36:36,080 Speaker 1: extra pair of underwear to change into for when I 618 00:36:36,080 --> 00:36:39,560 Speaker 1: get this air awesome, which is really gross stuffing into 619 00:36:39,600 --> 00:36:44,520 Speaker 1: your front shirt pocket. Oh my gosh, the clean pair, chuck. Okay. 620 00:36:44,719 --> 00:36:47,600 Speaker 1: If you want to get all excited like Corey, you 621 00:36:47,640 --> 00:36:50,279 Speaker 1: can share your excitement with us on Twitter at s 622 00:36:50,400 --> 00:36:52,839 Speaker 1: y ESK podcast. You can join us on Facebook dot 623 00:36:52,840 --> 00:36:55,080 Speaker 1: com slash stuff you Should Know. You can send us 624 00:36:55,120 --> 00:36:58,399 Speaker 1: an email to Stuff Podcast at Discovery dot com, and 625 00:36:58,520 --> 00:37:00,680 Speaker 1: as always, hang out with us at our home on 626 00:37:00,719 --> 00:37:08,160 Speaker 1: the web. Stuff you Should Know dot com for more 627 00:37:08,200 --> 00:37:10,480 Speaker 1: on this and thousands of other topics. Is it how 628 00:37:10,520 --> 00:37:18,960 Speaker 1: Stuff Works dot com