1 00:00:01,098 --> 00:00:03,099 The story that I'm going to tell you today, 2 00:00:03,123 --> 00:00:05,063 for me, began back in 2006. 3 00:00:05,422 --> 00:00:09,130 That was when I first heard about an outbreak of mysterious illness 4 00:00:09,154 --> 00:00:11,870 that was happening in the Amazon rainforest of Peru. 5 00:00:12,947 --> 00:00:15,376 The people that were getting sick from this illness, 6 00:00:15,400 --> 00:00:17,945 they had horrifying symptoms, nightmarish. 7 00:00:17,969 --> 00:00:19,499 They had unbelievable headaches, 8 00:00:19,523 --> 00:00:21,123 they couldn't eat or drink. 9 00:00:21,147 --> 00:00:23,067 Some of them were even hallucinating -- 10 00:00:23,091 --> 00:00:24,278 confused and aggressive. 11 00:00:24,953 --> 00:00:27,208 The most tragic part of all 12 00:00:27,232 --> 00:00:29,412 was that many of the victims were children. 13 00:00:29,436 --> 00:00:31,681 And of all of those that got sick, 14 00:00:31,705 --> 00:00:32,989 none survived. 15 00:00:34,587 --> 00:00:37,359 It turned out that what was killing people was a virus, 16 00:00:37,383 --> 00:00:39,588 but it wasn't Ebola, it wasn't Zika, 17 00:00:39,612 --> 00:00:42,738 it wasn't even some new virus never before seen by science. 18 00:00:43,848 --> 00:00:45,975 These people were dying of an ancient killer, 19 00:00:45,999 --> 00:00:48,098 one that we've known about for centuries. 20 00:00:48,492 --> 00:00:49,879 They were dying of rabies. 21 00:00:50,807 --> 00:00:54,337 And what all of them had in common was that as they slept, 22 00:00:54,361 --> 00:00:58,582 they'd all been bitten by the only mammal that lives exclusively on a diet of blood: 23 00:00:58,606 --> 00:00:59,756 the vampire bat. 24 00:01:01,073 --> 00:01:04,251 These sorts of outbreaks that jump from bats into people, 25 00:01:04,275 --> 00:01:07,409 they've become more and more common in the last couple of decades. 26 00:01:07,433 --> 00:01:08,953 In 2003, it was SARS. 27 00:01:08,977 --> 00:01:11,746 It showed up in Chinese animal markets and spread globally. 28 00:01:12,462 --> 00:01:16,527 That virus, like the one from Peru, was eventually traced back to bats, 29 00:01:16,551 --> 00:01:19,393 which have probably harbored it, undetected, for centuries. 30 00:01:20,249 --> 00:01:24,563 Then, 10 years later, we see Ebola showing up in West Africa, 31 00:01:24,587 --> 00:01:26,512 and that surprised just about everybody 32 00:01:26,536 --> 00:01:28,703 because, according to the science at the time, 33 00:01:28,727 --> 00:01:31,099 Ebola wasn't really supposed to be in West Africa. 34 00:01:32,115 --> 00:01:35,306 That ended up causing the largest and most widespread Ebola outbreak 35 00:01:35,330 --> 00:01:36,507 in history. 36 00:01:37,697 --> 00:01:40,145 So there's a disturbing trend here, right? 37 00:01:40,169 --> 00:01:44,247 Deadly viruses are appearing in places where we can't really expect them, 38 00:01:44,271 --> 00:01:45,864 and as a global health community, 39 00:01:45,888 --> 00:01:47,404 we're caught on our heels. 40 00:01:47,428 --> 00:01:50,081 We're constantly chasing after the next viral emergency 41 00:01:50,105 --> 00:01:52,331 in this perpetual cycle, 42 00:01:52,355 --> 00:01:55,608 always trying to extinguish epidemics after they've already started. 43 00:01:56,360 --> 00:01:59,217 So with new diseases appearing every year, 44 00:01:59,241 --> 00:02:01,049 now is really the time 45 00:02:01,073 --> 00:02:03,957 that we need to start thinking about what we can do about it. 46 00:02:03,981 --> 00:02:06,110 If we just wait for the next Ebola to happen, 47 00:02:06,134 --> 00:02:08,031 we might not be so lucky next time. 48 00:02:08,427 --> 00:02:10,073 We might face a different virus, 49 00:02:10,097 --> 00:02:11,476 one that's more deadly, 50 00:02:11,500 --> 00:02:14,029 one that spreads better among people, 51 00:02:14,053 --> 00:02:17,213 or maybe one that just completely outwits our vaccines, 52 00:02:17,237 --> 00:02:18,737 leaving us defenseless. 53 00:02:19,706 --> 00:02:22,659 So can we anticipate pandemics? 54 00:02:22,683 --> 00:02:23,849 Can we stop them? 55 00:02:24,480 --> 00:02:27,602 Those are really hard questions to answer, 56 00:02:27,626 --> 00:02:30,185 and the reason is that the pandemics -- 57 00:02:30,209 --> 00:02:31,980 the ones that spread globally, 58 00:02:32,004 --> 00:02:34,159 the ones that we really want to anticipate -- 59 00:02:34,183 --> 00:02:36,242 they're actually really rare events. 60 00:02:36,266 --> 00:02:38,654 And for us as a species that is a good thing -- 61 00:02:38,678 --> 00:02:40,193 that's why we're all here. 62 00:02:41,241 --> 00:02:45,574 But from a scientific standpoint, it's a little bit of a problem. 63 00:02:46,783 --> 00:02:49,393 That's because if something happens just once or twice, 64 00:02:49,417 --> 00:02:51,575 that's really not enough to find any patterns. 65 00:02:51,599 --> 00:02:55,078 Patterns that could tell us when or where the next pandemic might strike. 66 00:02:56,131 --> 00:02:57,493 So what do we do? 67 00:02:58,186 --> 00:03:02,873 Well, I think one of the solutions we may have is to study some viruses 68 00:03:02,897 --> 00:03:06,477 that routinely jump from wild animals into people, 69 00:03:06,501 --> 00:03:09,495 or into our pets, or our livestock, 70 00:03:09,519 --> 00:03:11,619 even if they're not the same viruses 71 00:03:11,643 --> 00:03:13,667 that we think are going to cause pandemics. 72 00:03:14,449 --> 00:03:16,867 If we can use those everyday killer viruses 73 00:03:16,891 --> 00:03:18,483 to work out some of the patterns 74 00:03:18,507 --> 00:03:22,442 of what drives that initial, crucial jump from one species to the next, 75 00:03:22,466 --> 00:03:24,710 and, potentially, how we might stop it, 76 00:03:24,734 --> 00:03:26,756 then we're going to end up better prepared 77 00:03:26,780 --> 00:03:29,631 for those viruses that jump between species more rarely 78 00:03:29,655 --> 00:03:31,686 but pose a greater threat of pandemics. 79 00:03:32,486 --> 00:03:35,405 Now, rabies, as terrible as it is, 80 00:03:35,429 --> 00:03:38,643 turns out to be a pretty nice virus in this case. 81 00:03:40,034 --> 00:03:42,923 You see, rabies is a scary, deadly virus. 82 00:03:43,850 --> 00:03:45,345 It has 100 percent fatality. 83 00:03:45,369 --> 00:03:49,101 That means if you get infected with rabies and you don't get treated early, 84 00:03:49,125 --> 00:03:50,853 there's nothing that can be done. 85 00:03:50,877 --> 00:03:52,028 There is no cure. 86 00:03:52,052 --> 00:03:53,202 You will die. 87 00:03:54,801 --> 00:03:57,906 And rabies is not just a problem of the past either. 88 00:03:58,821 --> 00:04:03,343 Even today, rabies still kills 50 to 60,000 people every year. 89 00:04:04,481 --> 00:04:06,509 Just put that number in some perspective. 90 00:04:07,188 --> 00:04:09,949 Imagine the whole West African Ebola outbreak -- 91 00:04:09,973 --> 00:04:11,580 about two-and-a-half years; 92 00:04:11,604 --> 00:04:14,157 you condense all the people that died in that outbreak 93 00:04:14,181 --> 00:04:15,469 into just a single year. 94 00:04:15,493 --> 00:04:16,644 That's pretty bad. 95 00:04:16,668 --> 00:04:18,597 But then, you multiply it by four, 96 00:04:18,621 --> 00:04:21,453 and that's what happens with rabies every single year. 97 00:04:23,835 --> 00:04:28,267 So what sets rabies apart from a virus like Ebola 98 00:04:28,291 --> 00:04:30,054 is that when people get it, 99 00:04:30,078 --> 00:04:31,794 they tend not to spread it onward. 100 00:04:32,965 --> 00:04:36,963 That means that every single time a person gets rabies, 101 00:04:36,987 --> 00:04:39,271 it's because they were bitten by a rabid animal, 102 00:04:39,295 --> 00:04:40,977 and usually, that's a dog or a bat. 103 00:04:41,354 --> 00:04:44,540 But it also means that those jumps between species, 104 00:04:44,564 --> 00:04:48,866 which are so important to understand, but so rare for most viruses, 105 00:04:48,890 --> 00:04:51,630 for rabies, they're actually happening by the thousands. 106 00:04:52,527 --> 00:04:56,172 So in a way, rabies is almost like the fruit fly 107 00:04:56,196 --> 00:04:58,484 or the lab mouse of deadly viruses. 108 00:04:59,168 --> 00:05:03,237 This is a virus that we can use and study to find patterns 109 00:05:03,261 --> 00:05:05,205 and potentially test out new solutions. 110 00:05:05,970 --> 00:05:08,773 And so, when I first heard about that outbreak of rabies 111 00:05:08,797 --> 00:05:10,154 in the Peruvian Amazon, 112 00:05:10,178 --> 00:05:12,376 it struck me as something potentially powerful 113 00:05:12,400 --> 00:05:15,758 because this was a virus that was jumping from bats into other animals 114 00:05:15,782 --> 00:05:19,243 often enough that we might be able to anticipate it ... 115 00:05:19,267 --> 00:05:20,446 Maybe even stop it. 116 00:05:21,354 --> 00:05:23,738 So as a first-year graduate student 117 00:05:23,762 --> 00:05:26,457 with a vague memory of my high school Spanish class, 118 00:05:26,481 --> 00:05:29,101 I jumped onto a plane and flew off to Peru, 119 00:05:29,125 --> 00:05:30,948 looking for vampire bats. 120 00:05:30,972 --> 00:05:34,670 And the first couple of years of this project were really tough. 121 00:05:36,125 --> 00:05:40,060 I had no shortage of ambitious plans to rid Latin America of rabies, 122 00:05:40,084 --> 00:05:41,646 but at the same time, 123 00:05:41,670 --> 00:05:45,391 there seemed to be an equally endless supply of mudslides and flat tires, 124 00:05:45,415 --> 00:05:48,610 power outages, stomach bugs all stopping me. 125 00:05:49,262 --> 00:05:51,480 But that was kind of par for the course, 126 00:05:51,504 --> 00:05:52,957 working in South America, 127 00:05:52,981 --> 00:05:54,998 and to me, it was part of the adventure. 128 00:05:56,044 --> 00:05:58,685 But what kept me going 129 00:05:58,709 --> 00:06:00,709 was the knowledge that for the first time, 130 00:06:00,733 --> 00:06:03,640 the work that I was doing might actually have some real impact 131 00:06:03,664 --> 00:06:05,430 on people's lives in the short term. 132 00:06:05,454 --> 00:06:06,808 And that struck me the most 133 00:06:06,832 --> 00:06:09,032 when we actually went out to the Amazon 134 00:06:09,056 --> 00:06:11,132 and were trying to catch vampire bats. 135 00:06:11,680 --> 00:06:15,255 You see, all we had to do was show up at a village and ask around. 136 00:06:15,279 --> 00:06:17,653 "Who's been getting bitten by a bat lately?" 137 00:06:17,677 --> 00:06:19,897 And people raised their hands, 138 00:06:19,921 --> 00:06:22,339 because in these communities, 139 00:06:22,363 --> 00:06:24,698 getting bitten by a bat is an everyday occurrence, 140 00:06:24,722 --> 00:06:25,872 happens every day. 141 00:06:26,530 --> 00:06:29,675 And so all we had to do was go to the right house, 142 00:06:29,699 --> 00:06:31,173 open up a net 143 00:06:31,197 --> 00:06:32,348 and show up at night, 144 00:06:32,372 --> 00:06:35,614 and wait until the bats tried to fly in and feed on human blood. 145 00:06:37,050 --> 00:06:42,731 So to me, seeing a child with a bite wound on his head or blood stains on his sheets, 146 00:06:42,755 --> 00:06:44,671 that was more than enough motivation 147 00:06:44,695 --> 00:06:47,165 to get past whatever logistical or physical headache 148 00:06:47,189 --> 00:06:49,372 I happened to be feeling on that day. 149 00:06:50,896 --> 00:06:53,052 Since we were working all night long, though, 150 00:06:53,076 --> 00:06:56,658 I had plenty of time to think about how I might actually solve this problem, 151 00:06:56,682 --> 00:06:59,759 and it stood out to me that there were two burning questions. 152 00:06:59,783 --> 00:07:03,689 The first was that we know that people are bitten all the time, 153 00:07:03,713 --> 00:07:06,191 but rabies outbreaks aren't happening all the time -- 154 00:07:06,215 --> 00:07:08,536 every couple of years, maybe even every decade, 155 00:07:08,560 --> 00:07:10,336 you get a rabies outbreak. 156 00:07:10,360 --> 00:07:14,323 So if we could somehow anticipate when and where the next outbreak would be, 157 00:07:14,347 --> 00:07:15,943 that would be a real opportunity, 158 00:07:15,967 --> 00:07:18,228 meaning we could vaccinate people ahead of time, 159 00:07:18,252 --> 00:07:19,656 before anybody starts dying. 160 00:07:20,181 --> 00:07:22,617 But the other side of that coin 161 00:07:22,641 --> 00:07:25,911 is that vaccination is really just a Band-Aid. 162 00:07:26,303 --> 00:07:28,365 It's kind of a strategy of damage control. 163 00:07:28,389 --> 00:07:31,255 Of course it's lifesaving and important and we have to do it, 164 00:07:31,279 --> 00:07:32,560 but at the end of the day, 165 00:07:32,584 --> 00:07:35,179 no matter how many cows, how many people we vaccinate, 166 00:07:35,203 --> 00:07:39,100 we're still going to have exactly the same amount of rabies up there in the bats. 167 00:07:39,124 --> 00:07:41,745 The actual risk of getting bitten hasn't changed at all. 168 00:07:41,769 --> 00:07:43,394 So my second question was this: 169 00:07:43,418 --> 00:07:46,630 Could we somehow cut the virus off at its source? 170 00:07:47,179 --> 00:07:50,544 If we could somehow reduce the amount of rabies in the bats themselves, 171 00:07:50,568 --> 00:07:52,611 then that would be a real game changer. 172 00:07:52,635 --> 00:07:54,412 We'd been talking about shifting 173 00:07:54,436 --> 00:07:57,448 from a strategy of damage control to one based on prevention. 174 00:07:58,687 --> 00:08:01,336 So, how do we begin to do that? 175 00:08:01,360 --> 00:08:03,479 Well, the first thing we needed to understand 176 00:08:03,503 --> 00:08:06,137 was how this virus actually works in its natural host -- 177 00:08:06,161 --> 00:08:07,327 in the bats. 178 00:08:07,351 --> 00:08:09,800 And that is a tall order for any infectious disease, 179 00:08:09,824 --> 00:08:13,707 particularly one in a reclusive species like bats, 180 00:08:13,731 --> 00:08:15,373 but we had to start somewhere. 181 00:08:16,368 --> 00:08:19,230 So the way we started was looking at some historical data. 182 00:08:19,691 --> 00:08:22,431 When and where had these outbreaks happened in the past? 183 00:08:23,154 --> 00:08:25,930 And it became clear that rabies was a virus 184 00:08:25,954 --> 00:08:27,490 that just had to be on the move. 185 00:08:27,514 --> 00:08:28,664 It couldn't sit still. 186 00:08:29,449 --> 00:08:32,328 The virus might circulate in one area for a year, maybe two, 187 00:08:32,352 --> 00:08:35,453 but unless it found a new group of bats to infect somewhere else, 188 00:08:35,477 --> 00:08:37,498 it was pretty much bound to go extinct. 189 00:08:38,359 --> 00:08:43,213 So with that, we solved one key part of the rabies transmission challenge. 190 00:08:43,898 --> 00:08:46,184 We knew we were dealing with a virus on the move, 191 00:08:46,208 --> 00:08:48,304 but we still couldn't say where it was going. 192 00:08:49,284 --> 00:08:53,341 Essentially, what I wanted was more of a Google Maps-style prediction, 193 00:08:53,365 --> 00:08:55,725 which is, "What's the destination of the virus? 194 00:08:55,749 --> 00:08:58,086 What's the route it's going to take to get there? 195 00:08:58,110 --> 00:08:59,770 How fast will it move?" 196 00:09:01,291 --> 00:09:04,734 To do that, I turned to the genomes of rabies. 197 00:09:05,278 --> 00:09:09,369 You see, rabies, like many other viruses, has a tiny little genome, 198 00:09:09,393 --> 00:09:11,462 but one that evolves really, really quickly. 199 00:09:11,903 --> 00:09:16,300 So quickly that by the time the virus has moved from one point to the next, 200 00:09:16,324 --> 00:09:19,053 it's going to have picked up a couple of new mutations. 201 00:09:19,077 --> 00:09:21,833 And so all we have to do is kind of connect the dots 202 00:09:21,857 --> 00:09:23,618 across an evolutionary tree, 203 00:09:23,642 --> 00:09:26,643 and that's going to tell us where the virus has been in the past 204 00:09:26,667 --> 00:09:28,570 and how it spread across the landscape. 205 00:09:28,989 --> 00:09:32,147 So, I went out and I collected cow brains, 206 00:09:32,171 --> 00:09:34,297 because that's where you get rabies viruses. 207 00:09:35,088 --> 00:09:40,004 And from genome sequences that we got from the viruses in those cow brains, 208 00:09:40,028 --> 00:09:41,179 I was able to work out 209 00:09:41,203 --> 00:09:44,405 that this is a virus that spreads between 10 and 20 miles each year. 210 00:09:45,147 --> 00:09:49,104 OK, so that means we do now have the speed limit of the virus, 211 00:09:49,128 --> 00:09:53,427 but still missing that other key part of where is it going in the first place. 212 00:09:54,362 --> 00:09:58,730 For that, I needed to think a little bit more like a bat, 213 00:09:58,754 --> 00:10:00,088 because rabies is a virus -- 214 00:10:00,112 --> 00:10:01,351 it doesn't move by itself, 215 00:10:01,375 --> 00:10:04,447 it has to be moved around by its bat host, 216 00:10:04,471 --> 00:10:08,450 so I needed to think about how far to fly and how often to fly. 217 00:10:08,474 --> 00:10:11,321 My imagination didn't get me all that far with this 218 00:10:11,345 --> 00:10:14,949 and neither did little digital trackers that we first tried putting on bats. 219 00:10:14,973 --> 00:10:17,307 We just couldn't get the information we needed. 220 00:10:17,331 --> 00:10:19,982 So instead, we turned to the mating patterns of bats. 221 00:10:20,006 --> 00:10:22,324 We could look at certain parts of the bat genome, 222 00:10:22,348 --> 00:10:25,968 and they were telling us that some groups of bats were mating with each other 223 00:10:25,992 --> 00:10:27,427 and others were more isolated. 224 00:10:27,451 --> 00:10:31,683 And the virus was basically following the trail laid out by the bat genomes. 225 00:10:32,884 --> 00:10:36,287 Yet one of those trails stood out as being a little bit surprising -- 226 00:10:36,311 --> 00:10:37,461 hard to believe. 227 00:10:38,176 --> 00:10:41,975 That was one that seemed to cross straight over the Peruvian Andes, 228 00:10:41,999 --> 00:10:44,294 crossing from the Amazon to the Pacific coast, 229 00:10:44,318 --> 00:10:46,735 and that was kind of hard to believe, 230 00:10:46,759 --> 00:10:48,989 as I said, 231 00:10:49,013 --> 00:10:52,235 because the Andes are really tall -- about 22,000 feet, 232 00:10:52,259 --> 00:10:54,825 and that's way too high for a vampire to fly. 233 00:10:56,136 --> 00:10:57,286 Yet -- 234 00:10:57,310 --> 00:10:58,382 (Laughter) 235 00:10:58,406 --> 00:10:59,760 when we looked more closely, 236 00:10:59,784 --> 00:11:01,587 we saw, in the northern part of Peru, 237 00:11:01,611 --> 00:11:05,218 a network of valley systems that was not quite too tall 238 00:11:05,242 --> 00:11:07,998 for the bats on either side to be mating with each other. 239 00:11:08,022 --> 00:11:10,022 And we looked a little bit more closely -- 240 00:11:10,046 --> 00:11:12,856 sure enough, there's rabies spreading through those valleys, 241 00:11:12,880 --> 00:11:14,545 just about 10 miles each year. 242 00:11:14,569 --> 00:11:18,044 Basically, exactly as our evolutionary models had predicated it would be. 243 00:11:18,531 --> 00:11:19,705 What I didn't tell you 244 00:11:19,729 --> 00:11:22,133 is that that's actually kind of an important thing 245 00:11:22,157 --> 00:11:25,858 because rabies had never been seen before on the western slopes of the Andes, 246 00:11:25,882 --> 00:11:28,671 or on the whole Pacific coast of South America, 247 00:11:28,695 --> 00:11:32,721 so we were actually witnessing, in real time, a historical first invasion 248 00:11:32,745 --> 00:11:35,696 into a pretty big part of South America, 249 00:11:35,720 --> 00:11:37,149 which raises the key question: 250 00:11:37,173 --> 00:11:39,183 "What are we going to do about that?" 251 00:11:39,719 --> 00:11:43,025 Well, the obvious short-term thing we can do is tell people: 252 00:11:43,049 --> 00:11:45,719 you need to vaccinate yourselves, vaccinate your animals; 253 00:11:45,743 --> 00:11:46,943 rabies is coming. 254 00:11:47,507 --> 00:11:48,904 But in the longer term, 255 00:11:48,928 --> 00:11:52,158 it would be even more powerful if we could use that new information 256 00:11:52,182 --> 00:11:54,516 to stop the virus from arriving altogether. 257 00:11:55,847 --> 00:11:59,034 Of course, we can't just tell bats, "Don't fly today," 258 00:11:59,058 --> 00:12:02,652 but maybe we could stop the virus from hitching a ride along with the bat. 259 00:12:04,347 --> 00:12:07,476 And that brings us to the key lesson that we have learned 260 00:12:07,500 --> 00:12:10,330 from rabies-management programs all around the world, 261 00:12:10,354 --> 00:12:14,744 whether it's dogs, foxes, skunks, raccoons, 262 00:12:14,768 --> 00:12:17,557 North America, Africa, Europe. 263 00:12:17,581 --> 00:12:21,174 It's that vaccinating the animal source is the only thing that stops rabies. 264 00:12:22,204 --> 00:12:25,392 So, can we vaccinate bats? 265 00:12:26,597 --> 00:12:29,122 You hear about vaccinating dogs and cats all the time, 266 00:12:29,146 --> 00:12:31,603 but you don't hear too much about vaccinating bats. 267 00:12:32,597 --> 00:12:34,647 It might sound like a crazy question, 268 00:12:34,671 --> 00:12:39,845 but the good news is that we actually already have edible rabies vaccines 269 00:12:39,869 --> 00:12:41,731 that are specially designed for bats. 270 00:12:42,351 --> 00:12:43,974 And what's even better 271 00:12:43,998 --> 00:12:47,819 is that these vaccines can actually spread from bat to bat. 272 00:12:48,499 --> 00:12:50,966 All you have to do is smear it on one 273 00:12:50,990 --> 00:12:53,188 and let the bats' habit of grooming each other 274 00:12:53,212 --> 00:12:55,217 take care of the rest of the work for you. 275 00:12:55,241 --> 00:12:57,484 So that means, at the very least, 276 00:12:57,508 --> 00:13:00,747 we don't have to be out there vaccinating millions of bats one by one 277 00:13:00,771 --> 00:13:02,272 with tiny little syringes. 278 00:13:02,296 --> 00:13:03,885 (Laughter) 279 00:13:03,909 --> 00:13:07,418 But just because we have that tool doesn't mean we know how to use it. 280 00:13:07,442 --> 00:13:09,797 Now we have a whole laundry list of questions. 281 00:13:09,821 --> 00:13:11,917 How many bats do we need to vaccinate? 282 00:13:11,941 --> 00:13:14,368 What time of the year do we need to be vaccinating? 283 00:13:14,392 --> 00:13:16,914 How many times a year do we need to be vaccinating? 284 00:13:18,067 --> 00:13:20,609 All of these are questions that are really fundamental 285 00:13:20,633 --> 00:13:22,876 to rolling out any sort of vaccination campaign, 286 00:13:22,900 --> 00:13:25,758 but they're questions that we can't answer in the laboratory. 287 00:13:25,782 --> 00:13:28,646 So instead, we're taking a slightly more colorful approach. 288 00:13:29,250 --> 00:13:32,895 We're using real wild bats, but fake vaccines. 289 00:13:33,795 --> 00:13:36,211 We use edible gels that make bat hair glow 290 00:13:36,235 --> 00:13:39,838 and UV powders that spread between bats when they bump into each other, 291 00:13:39,862 --> 00:13:42,901 and that's letting us study how well a real vaccine might spread 292 00:13:42,925 --> 00:13:44,955 in these wild colonies of bats. 293 00:13:45,908 --> 00:13:48,251 We're still in the earliest phases of this work, 294 00:13:48,275 --> 00:13:50,712 but our results so far are incredibly encouraging. 295 00:13:51,310 --> 00:13:54,406 They're suggesting that using the vaccines that we already have, 296 00:13:54,430 --> 00:13:57,704 we could potentially drastically reduce the size of rabies outbreaks. 297 00:13:58,637 --> 00:14:01,439 And that matters, because as you remember, 298 00:14:01,463 --> 00:14:04,243 rabies is a virus that always has to be on the move, 299 00:14:04,267 --> 00:14:07,382 and so every time we reduce the size of an outbreak, 300 00:14:07,406 --> 00:14:08,867 we're also reducing the chance 301 00:14:08,891 --> 00:14:11,136 that the virus makes it onto the next colony. 302 00:14:11,160 --> 00:14:13,655 We're breaking a link in the chain of transmission. 303 00:14:14,289 --> 00:14:15,881 And so every time we do that, 304 00:14:15,905 --> 00:14:18,782 we're bringing the virus one step closer to extinction. 305 00:14:18,806 --> 00:14:23,518 And so the thought, for me, of a world in the not-too-distant future 306 00:14:23,542 --> 00:14:26,813 where we're actually talking about getting rid of rabies altogether, 307 00:14:26,837 --> 00:14:28,908 that is incredibly encouraging and exciting. 308 00:14:29,631 --> 00:14:31,795 So let me return to the original question. 309 00:14:31,819 --> 00:14:33,303 Can we prevent pandemics? 310 00:14:34,119 --> 00:14:38,219 Well, there is no silver-bullet solution to this problem, 311 00:14:38,243 --> 00:14:41,678 but my experiences with rabies have left me pretty optimistic about it. 312 00:14:42,282 --> 00:14:44,275 I think we're not too far from a future 313 00:14:44,299 --> 00:14:47,942 where we're going to have genomics to forecast outbreaks 314 00:14:47,966 --> 00:14:50,371 and we're going to have clever new technologies, 315 00:14:50,395 --> 00:14:53,299 like edible, self-spreading vaccines, 316 00:14:53,323 --> 00:14:55,612 that can get rid of these viruses at their source 317 00:14:55,636 --> 00:14:57,907 before they have a chance to jump into people. 318 00:14:58,926 --> 00:15:01,063 So when it comes to fighting pandemics, 319 00:15:01,087 --> 00:15:03,433 the holy grail is just to get one step ahead. 320 00:15:04,202 --> 00:15:05,352 And if you ask me, 321 00:15:05,376 --> 00:15:07,376 I think one of the ways that we can do that 322 00:15:07,400 --> 00:15:09,983 is using some of the problems that we already have now, 323 00:15:10,007 --> 00:15:11,239 like rabies -- 324 00:15:11,263 --> 00:15:14,024 sort of the way an astronaut might use a flight simulator, 325 00:15:14,048 --> 00:15:16,016 figuring out what works and what doesn't, 326 00:15:16,040 --> 00:15:17,565 and building up our tool set 327 00:15:17,589 --> 00:15:19,187 so that when the stakes are high, 328 00:15:19,211 --> 00:15:20,459 we're not flying blind. 329 00:15:20,884 --> 00:15:22,035 Thank you. 330 00:15:22,059 --> 00:15:25,916 (Applause)