WEBVTT 00:00:01.098 --> 00:00:03.099 The story that I'm going to tell you today, 00:00:03.123 --> 00:00:05.063 for me, began back in 2006. 00:00:05.422 --> 00:00:09.130 That was when I first heard about an outbreak of mysterious illness 00:00:09.154 --> 00:00:11.870 that was happening in the Amazon rainforest of Peru. 00:00:12.947 --> 00:00:15.376 The people that were getting sick from this illness, 00:00:15.400 --> 00:00:17.945 they had horrifying symptoms, nightmarish. 00:00:17.969 --> 00:00:19.499 They had unbelievable headaches, 00:00:19.523 --> 00:00:21.123 they couldn't eat or drink. 00:00:21.147 --> 00:00:23.067 Some of them were even hallucinating -- 00:00:23.091 --> 00:00:24.278 confused and aggressive. 00:00:24.953 --> 00:00:27.208 The most tragic part of all 00:00:27.232 --> 00:00:29.412 was that many of the victims were children. 00:00:29.436 --> 00:00:31.681 And of all of those that got sick, 00:00:31.705 --> 00:00:32.989 none survived. 00:00:34.587 --> 00:00:37.359 It turned out that what was killing people was a virus, 00:00:37.383 --> 00:00:39.588 but it wasn't Ebola, it wasn't Zika, 00:00:39.612 --> 00:00:42.738 it wasn't even some new virus never before seen by science. 00:00:43.848 --> 00:00:45.975 These people were dying of an ancient killer, 00:00:45.999 --> 00:00:48.098 one that we've known about for centuries. 00:00:48.492 --> 00:00:49.879 They were dying of rabies. 00:00:50.807 --> 00:00:54.337 And what all of them had in common was that as they slept, 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: 00:00:58.606 --> 00:00:59.756 the vampire bat. NOTE Paragraph 00:01:01.073 --> 00:01:04.251 These sorts of outbreaks that jump from bats into people, 00:01:04.275 --> 00:01:07.409 they've become more and more common in the last couple of decades. 00:01:07.433 --> 00:01:08.953 In 2003, it was SARS. 00:01:08.977 --> 00:01:11.746 It showed up in Chinese animal markets and spread globally. 00:01:12.462 --> 00:01:16.527 That virus, like the one from Peru, was eventually traced back to bats, 00:01:16.551 --> 00:01:19.393 which have probably harbored it, undetected, for centuries. 00:01:20.249 --> 00:01:24.563 Then, 10 years later, we see Ebola showing up in West Africa, 00:01:24.587 --> 00:01:26.512 and that surprised just about everybody 00:01:26.536 --> 00:01:28.703 because, according to the science at the time, 00:01:28.727 --> 00:01:31.099 Ebola wasn't really supposed to be in West Africa. 00:01:32.115 --> 00:01:35.306 That ended up causing the largest and most widespread Ebola outbreak 00:01:35.330 --> 00:01:36.507 in history. NOTE Paragraph 00:01:37.697 --> 00:01:40.145 So there's a disturbing trend here, right? 00:01:40.169 --> 00:01:44.247 Deadly viruses are appearing in places where we can't really expect them, 00:01:44.271 --> 00:01:45.864 and as a global health community, 00:01:45.888 --> 00:01:47.404 we're caught on our heels. 00:01:47.428 --> 00:01:50.081 We're constantly chasing after the next viral emergency 00:01:50.105 --> 00:01:52.331 in this perpetual cycle, 00:01:52.355 --> 00:01:55.608 always trying to extinguish epidemics after they've already started. 00:01:56.360 --> 00:01:59.217 So with new diseases appearing every year, 00:01:59.241 --> 00:02:01.049 now is really the time 00:02:01.073 --> 00:02:03.957 that we need to start thinking about what we can do about it. 00:02:03.981 --> 00:02:06.110 If we just wait for the next Ebola to happen, 00:02:06.134 --> 00:02:08.031 we might not be so lucky next time. 00:02:08.427 --> 00:02:10.073 We might face a different virus, 00:02:10.097 --> 00:02:11.476 one that's more deadly, 00:02:11.500 --> 00:02:14.029 one that spreads better among people, 00:02:14.053 --> 00:02:17.213 or maybe one that just completely outwits our vaccines, 00:02:17.237 --> 00:02:18.737 leaving us defenseless. NOTE Paragraph 00:02:19.706 --> 00:02:22.659 So can we anticipate pandemics? 00:02:22.683 --> 00:02:23.849 Can we stop them? 00:02:24.480 --> 00:02:27.602 Those are really hard questions to answer, 00:02:27.626 --> 00:02:30.185 and the reason is that the pandemics -- 00:02:30.209 --> 00:02:31.980 the ones that spread globally, 00:02:32.004 --> 00:02:34.159 the ones that we really want to anticipate -- 00:02:34.183 --> 00:02:36.242 they're actually really rare events. 00:02:36.266 --> 00:02:38.654 And for us as a species that is a good thing -- 00:02:38.678 --> 00:02:40.193 that's why we're all here. 00:02:41.241 --> 00:02:45.574 But from a scientific standpoint, it's a little bit of a problem. 00:02:46.783 --> 00:02:49.393 That's because if something happens just once or twice, 00:02:49.417 --> 00:02:51.575 that's really not enough to find any patterns. 00:02:51.599 --> 00:02:55.078 Patterns that could tell us when or where the next pandemic might strike. 00:02:56.131 --> 00:02:57.493 So what do we do? 00:02:58.186 --> 00:03:02.873 Well, I think one of the solutions we may have is to study some viruses 00:03:02.897 --> 00:03:06.477 that routinely jump from wild animals into people, 00:03:06.501 --> 00:03:09.495 or into our pets, or our livestock, 00:03:09.519 --> 00:03:11.619 even if they're not the same viruses 00:03:11.643 --> 00:03:13.667 that we think are going to cause pandemics. 00:03:14.449 --> 00:03:16.867 If we can use those everyday killer viruses 00:03:16.891 --> 00:03:18.483 to work out some of the patterns 00:03:18.507 --> 00:03:22.442 of what drives that initial, crucial jump from one species to the next, 00:03:22.466 --> 00:03:24.710 and, potentially, how we might stop it, 00:03:24.734 --> 00:03:26.756 then we're going to end up better prepared 00:03:26.780 --> 00:03:29.631 for those viruses that jump between species more rarely 00:03:29.655 --> 00:03:31.686 but pose a greater threat of pandemics. NOTE Paragraph 00:03:32.486 --> 00:03:35.405 Now, rabies, as terrible as it is, 00:03:35.429 --> 00:03:38.643 turns out to be a pretty nice virus in this case. 00:03:40.034 --> 00:03:42.923 You see, rabies is a scary, deadly virus. 00:03:43.850 --> 00:03:45.345 It has 100 percent fatality. 00:03:45.369 --> 00:03:49.101 That means if you get infected with rabies and you don't get treated early, 00:03:49.125 --> 00:03:50.853 there's nothing that can be done. 00:03:50.877 --> 00:03:52.028 There is no cure. 00:03:52.052 --> 00:03:53.202 You will die. 00:03:54.801 --> 00:03:57.906 And rabies is not just a problem of the past either. 00:03:58.821 --> 00:04:03.343 Even today, rabies still kills 50 to 60,000 people every year. 00:04:04.481 --> 00:04:06.509 Just put that number in some perspective. 00:04:07.188 --> 00:04:09.949 Imagine the whole West African Ebola outbreak -- 00:04:09.973 --> 00:04:11.580 about two-and-a-half years; 00:04:11.604 --> 00:04:14.157 you condense all the people that died in that outbreak 00:04:14.181 --> 00:04:15.469 into just a single year. 00:04:15.493 --> 00:04:16.644 That's pretty bad. 00:04:16.668 --> 00:04:18.597 But then, you multiply it by four, 00:04:18.621 --> 00:04:21.453 and that's what happens with rabies every single year. NOTE Paragraph 00:04:23.835 --> 00:04:28.267 So what sets rabies apart from a virus like Ebola 00:04:28.291 --> 00:04:30.054 is that when people get it, 00:04:30.078 --> 00:04:31.794 they tend not to spread it onward. 00:04:32.965 --> 00:04:36.963 That means that every single time a person gets rabies, 00:04:36.987 --> 00:04:39.271 it's because they were bitten by a rabid animal, 00:04:39.295 --> 00:04:40.977 and usually, that's a dog or a bat. 00:04:41.354 --> 00:04:44.540 But it also means that those jumps between species, 00:04:44.564 --> 00:04:48.866 which are so important to understand, but so rare for most viruses, 00:04:48.890 --> 00:04:51.630 for rabies, they're actually happening by the thousands. 00:04:52.527 --> 00:04:56.172 So in a way, rabies is almost like the fruit fly 00:04:56.196 --> 00:04:58.484 or the lab mouse of deadly viruses. 00:04:59.168 --> 00:05:03.237 This is a virus that we can use and study to find patterns 00:05:03.261 --> 00:05:05.205 and potentially test out new solutions. 00:05:05.970 --> 00:05:08.773 And so, when I first heard about that outbreak of rabies 00:05:08.797 --> 00:05:10.154 in the Peruvian Amazon, 00:05:10.178 --> 00:05:12.376 it struck me as something potentially powerful 00:05:12.400 --> 00:05:15.758 because this was a virus that was jumping from bats into other animals 00:05:15.782 --> 00:05:19.243 often enough that we might be able to anticipate it ... 00:05:19.267 --> 00:05:20.446 Maybe even stop it. NOTE Paragraph 00:05:21.354 --> 00:05:23.738 So as a first-year graduate student 00:05:23.762 --> 00:05:26.457 with a vague memory of my high school Spanish class, 00:05:26.481 --> 00:05:29.101 I jumped onto a plane and flew off to Peru, 00:05:29.125 --> 00:05:30.948 looking for vampire bats. 00:05:30.972 --> 00:05:34.670 And the first couple of years of this project were really tough. 00:05:36.125 --> 00:05:40.060 I had no shortage of ambitious plans to rid Latin America of rabies, 00:05:40.084 --> 00:05:41.646 but at the same time, 00:05:41.670 --> 00:05:45.391 there seemed to be an equally endless supply of mudslides and flat tires, 00:05:45.415 --> 00:05:48.610 power outages, stomach bugs all stopping me. 00:05:49.262 --> 00:05:51.480 But that was kind of par for the course, 00:05:51.504 --> 00:05:52.957 working in South America, 00:05:52.981 --> 00:05:54.998 and to me, it was part of the adventure. 00:05:56.044 --> 00:05:58.685 But what kept me going 00:05:58.709 --> 00:06:00.709 was the knowledge that for the first time, 00:06:00.733 --> 00:06:03.640 the work that I was doing might actually have some real impact 00:06:03.664 --> 00:06:05.430 on people's lives in the short term. 00:06:05.454 --> 00:06:06.808 And that struck me the most 00:06:06.832 --> 00:06:09.032 when we actually went out to the Amazon 00:06:09.056 --> 00:06:11.132 and were trying to catch vampire bats. 00:06:11.680 --> 00:06:15.255 You see, all we had to do was show up at a village and ask around. 00:06:15.279 --> 00:06:17.653 "Who's been getting bitten by a bat lately?" 00:06:17.677 --> 00:06:19.897 And people raised their hands, 00:06:19.921 --> 00:06:22.339 because in these communities, 00:06:22.363 --> 00:06:24.698 getting bitten by a bat is an everyday occurrence, 00:06:24.722 --> 00:06:25.872 happens every day. 00:06:26.530 --> 00:06:29.675 And so all we had to do was go to the right house, 00:06:29.699 --> 00:06:31.173 open up a net 00:06:31.197 --> 00:06:32.348 and show up at night, 00:06:32.372 --> 00:06:35.614 and wait until the bats tried to fly in and feed on human blood. 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, 00:06:42.755 --> 00:06:44.671 that was more than enough motivation 00:06:44.695 --> 00:06:47.165 to get past whatever logistical or physical headache 00:06:47.189 --> 00:06:49.372 I happened to be feeling on that day. NOTE Paragraph 00:06:50.896 --> 00:06:53.052 Since we were working all night long, though, 00:06:53.076 --> 00:06:56.658 I had plenty of time to think about how I might actually solve this problem, 00:06:56.682 --> 00:06:59.759 and it stood out to me that there were two burning questions. 00:06:59.783 --> 00:07:03.689 The first was that we know that people are bitten all the time, 00:07:03.713 --> 00:07:06.191 but rabies outbreaks aren't happening all the time -- 00:07:06.215 --> 00:07:08.536 every couple of years, maybe even every decade, 00:07:08.560 --> 00:07:10.336 you get a rabies outbreak. 00:07:10.360 --> 00:07:14.323 So if we could somehow anticipate when and where the next outbreak would be, 00:07:14.347 --> 00:07:15.943 that would be a real opportunity, 00:07:15.967 --> 00:07:18.228 meaning we could vaccinate people ahead of time, 00:07:18.252 --> 00:07:19.656 before anybody starts dying. 00:07:20.181 --> 00:07:22.617 But the other side of that coin 00:07:22.641 --> 00:07:25.911 is that vaccination is really just a Band-Aid. 00:07:26.303 --> 00:07:28.365 It's kind of a strategy of damage control. 00:07:28.389 --> 00:07:31.255 Of course it's lifesaving and important and we have to do it, 00:07:31.279 --> 00:07:32.560 but at the end of the day, 00:07:32.584 --> 00:07:35.179 no matter how many cows, how many people we vaccinate, 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. 00:07:39.124 --> 00:07:41.745 The actual risk of getting bitten hasn't changed at all. 00:07:41.769 --> 00:07:43.394 So my second question was this: 00:07:43.418 --> 00:07:46.630 Could we somehow cut the virus off at its source? 00:07:47.179 --> 00:07:50.544 If we could somehow reduce the amount of rabies in the bats themselves, 00:07:50.568 --> 00:07:52.611 then that would be a real game changer. NOTE Paragraph 00:07:52.635 --> 00:07:54.412 We'd been talking about shifting 00:07:54.436 --> 00:07:57.448 from a strategy of damage control to one based on prevention. 00:07:58.687 --> 00:08:01.336 So, how do we begin to do that? 00:08:01.360 --> 00:08:03.479 Well, the first thing we needed to understand 00:08:03.503 --> 00:08:06.137 was how this virus actually works in its natural host -- 00:08:06.161 --> 00:08:07.327 in the bats. 00:08:07.351 --> 00:08:09.800 And that is a tall order for any infectious disease, 00:08:09.824 --> 00:08:13.707 particularly one in a reclusive species like bats, 00:08:13.731 --> 00:08:15.373 but we had to start somewhere. 00:08:16.368 --> 00:08:19.230 So the way we started was looking at some historical data. 00:08:19.691 --> 00:08:22.431 When and where had these outbreaks happened in the past? 00:08:23.154 --> 00:08:25.930 And it became clear that rabies was a virus 00:08:25.954 --> 00:08:27.490 that just had to be on the move. 00:08:27.514 --> 00:08:28.664 It couldn't sit still. 00:08:29.449 --> 00:08:32.328 The virus might circulate in one area for a year, maybe two, 00:08:32.352 --> 00:08:35.453 but unless it found a new group of bats to infect somewhere else, 00:08:35.477 --> 00:08:37.498 it was pretty much bound to go extinct. 00:08:38.359 --> 00:08:43.213 So with that, we solved one key part of the rabies transmission challenge. 00:08:43.898 --> 00:08:46.184 We knew we were dealing with a virus on the move, 00:08:46.208 --> 00:08:48.304 but we still couldn't say where it was going. NOTE Paragraph 00:08:49.284 --> 00:08:53.341 Essentially, what I wanted was more of a Google Maps-style prediction, 00:08:53.365 --> 00:08:55.725 which is, "What's the destination of the virus? 00:08:55.749 --> 00:08:58.086 What's the route it's going to take to get there? 00:08:58.110 --> 00:08:59.770 How fast will it move?" 00:09:01.291 --> 00:09:04.734 To do that, I turned to the genomes of rabies. 00:09:05.278 --> 00:09:09.369 You see, rabies, like many other viruses, has a tiny little genome, 00:09:09.393 --> 00:09:11.462 but one that evolves really, really quickly. 00:09:11.903 --> 00:09:16.300 So quickly that by the time the virus has moved from one point to the next, 00:09:16.324 --> 00:09:19.053 it's going to have picked up a couple of new mutations. 00:09:19.077 --> 00:09:21.833 And so all we have to do is kind of connect the dots 00:09:21.857 --> 00:09:23.618 across an evolutionary tree, 00:09:23.642 --> 00:09:26.643 and that's going to tell us where the virus has been in the past 00:09:26.667 --> 00:09:28.570 and how it spread across the landscape. 00:09:28.989 --> 00:09:32.147 So, I went out and I collected cow brains, 00:09:32.171 --> 00:09:34.297 because that's where you get rabies viruses. 00:09:35.088 --> 00:09:40.004 And from genome sequences that we got from the viruses in those cow brains, 00:09:40.028 --> 00:09:41.179 I was able to work out 00:09:41.203 --> 00:09:44.405 that this is a virus that spreads between 10 and 20 miles each year. NOTE Paragraph 00:09:45.147 --> 00:09:49.104 OK, so that means we do now have the speed limit of the virus, 00:09:49.128 --> 00:09:53.427 but still missing that other key part of where is it going in the first place. 00:09:54.362 --> 00:09:58.730 For that, I needed to think a little bit more like a bat, 00:09:58.754 --> 00:10:00.088 because rabies is a virus -- 00:10:00.112 --> 00:10:01.351 it doesn't move by itself, 00:10:01.375 --> 00:10:04.447 it has to be moved around by its bat host, 00:10:04.471 --> 00:10:08.450 so I needed to think about how far to fly and how often to fly. 00:10:08.474 --> 00:10:11.321 My imagination didn't get me all that far with this 00:10:11.345 --> 00:10:14.949 and neither did little digital trackers that we first tried putting on bats. 00:10:14.973 --> 00:10:17.307 We just couldn't get the information we needed. 00:10:17.331 --> 00:10:19.982 So instead, we turned to the mating patterns of bats. 00:10:20.006 --> 00:10:22.324 We could look at certain parts of the bat genome, 00:10:22.348 --> 00:10:25.968 and they were telling us that some groups of bats were mating with each other 00:10:25.992 --> 00:10:27.427 and others were more isolated. 00:10:27.451 --> 00:10:31.683 And the virus was basically following the trail laid out by the bat genomes. 00:10:32.884 --> 00:10:36.287 Yet one of those trails stood out as being a little bit surprising -- 00:10:36.311 --> 00:10:37.461 hard to believe. 00:10:38.176 --> 00:10:41.975 That was one that seemed to cross straight over the Peruvian Andes, 00:10:41.999 --> 00:10:44.294 crossing from the Amazon to the Pacific coast, 00:10:44.318 --> 00:10:46.735 and that was kind of hard to believe, 00:10:46.759 --> 00:10:48.989 as I said, 00:10:49.013 --> 00:10:52.235 because the Andes are really tall -- about 22,000 feet, 00:10:52.259 --> 00:10:54.825 and that's way too high for a vampire to fly. 00:10:56.136 --> 00:10:57.286 Yet -- NOTE Paragraph 00:10:57.310 --> 00:10:58.382 (Laughter) NOTE Paragraph 00:10:58.406 --> 00:10:59.760 when we looked more closely, 00:10:59.784 --> 00:11:01.587 we saw, in the northern part of Peru, 00:11:01.611 --> 00:11:05.218 a network of valley systems that was not quite too tall 00:11:05.242 --> 00:11:07.998 for the bats on either side to be mating with each other. 00:11:08.022 --> 00:11:10.022 And we looked a little bit more closely -- 00:11:10.046 --> 00:11:12.856 sure enough, there's rabies spreading through those valleys, 00:11:12.880 --> 00:11:14.545 just about 10 miles each year. 00:11:14.569 --> 00:11:18.044 Basically, exactly as our evolutionary models had predicated it would be. NOTE Paragraph 00:11:18.531 --> 00:11:19.705 What I didn't tell you 00:11:19.729 --> 00:11:22.133 is that that's actually kind of an important thing 00:11:22.157 --> 00:11:25.858 because rabies had never been seen before on the western slopes of the Andes, 00:11:25.882 --> 00:11:28.671 or on the whole Pacific coast of South America, 00:11:28.695 --> 00:11:32.721 so we were actually witnessing, in real time, a historical first invasion 00:11:32.745 --> 00:11:35.696 into a pretty big part of South America, 00:11:35.720 --> 00:11:37.149 which raises the key question: 00:11:37.173 --> 00:11:39.183 "What are we going to do about that?" NOTE Paragraph 00:11:39.719 --> 00:11:43.025 Well, the obvious short-term thing we can do is tell people: 00:11:43.049 --> 00:11:45.719 you need to vaccinate yourselves, vaccinate your animals; 00:11:45.743 --> 00:11:46.943 rabies is coming. 00:11:47.507 --> 00:11:48.904 But in the longer term, 00:11:48.928 --> 00:11:52.158 it would be even more powerful if we could use that new information 00:11:52.182 --> 00:11:54.516 to stop the virus from arriving altogether. 00:11:55.847 --> 00:11:59.034 Of course, we can't just tell bats, "Don't fly today," 00:11:59.058 --> 00:12:02.652 but maybe we could stop the virus from hitching a ride along with the bat. NOTE Paragraph 00:12:04.347 --> 00:12:07.476 And that brings us to the key lesson that we have learned 00:12:07.500 --> 00:12:10.330 from rabies-management programs all around the world, 00:12:10.354 --> 00:12:14.744 whether it's dogs, foxes, skunks, raccoons, 00:12:14.768 --> 00:12:17.557 North America, Africa, Europe. 00:12:17.581 --> 00:12:21.174 It's that vaccinating the animal source is the only thing that stops rabies. NOTE Paragraph 00:12:22.204 --> 00:12:25.392 So, can we vaccinate bats? 00:12:26.597 --> 00:12:29.122 You hear about vaccinating dogs and cats all the time, 00:12:29.146 --> 00:12:31.603 but you don't hear too much about vaccinating bats. 00:12:32.597 --> 00:12:34.647 It might sound like a crazy question, 00:12:34.671 --> 00:12:39.845 but the good news is that we actually already have edible rabies vaccines 00:12:39.869 --> 00:12:41.731 that are specially designed for bats. 00:12:42.351 --> 00:12:43.974 And what's even better 00:12:43.998 --> 00:12:47.819 is that these vaccines can actually spread from bat to bat. 00:12:48.499 --> 00:12:50.966 All you have to do is smear it on one 00:12:50.990 --> 00:12:53.188 and let the bats' habit of grooming each other 00:12:53.212 --> 00:12:55.217 take care of the rest of the work for you. 00:12:55.241 --> 00:12:57.484 So that means, at the very least, 00:12:57.508 --> 00:13:00.747 we don't have to be out there vaccinating millions of bats one by one 00:13:00.771 --> 00:13:02.272 with tiny little syringes. NOTE Paragraph 00:13:02.296 --> 00:13:03.885 (Laughter) NOTE Paragraph 00:13:03.909 --> 00:13:07.418 But just because we have that tool doesn't mean we know how to use it. 00:13:07.442 --> 00:13:09.797 Now we have a whole laundry list of questions. 00:13:09.821 --> 00:13:11.917 How many bats do we need to vaccinate? 00:13:11.941 --> 00:13:14.368 What time of the year do we need to be vaccinating? 00:13:14.392 --> 00:13:16.914 How many times a year do we need to be vaccinating? 00:13:18.067 --> 00:13:20.609 All of these are questions that are really fundamental 00:13:20.633 --> 00:13:22.876 to rolling out any sort of vaccination campaign, 00:13:22.900 --> 00:13:25.758 but they're questions that we can't answer in the laboratory. 00:13:25.782 --> 00:13:28.646 So instead, we're taking a slightly more colorful approach. 00:13:29.250 --> 00:13:32.895 We're using real wild bats, but fake vaccines. 00:13:33.795 --> 00:13:36.211 We use edible gels that make bat hair glow 00:13:36.235 --> 00:13:39.838 and UV powders that spread between bats when they bump into each other, 00:13:39.862 --> 00:13:42.901 and that's letting us study how well a real vaccine might spread 00:13:42.925 --> 00:13:44.955 in these wild colonies of bats. 00:13:45.908 --> 00:13:48.251 We're still in the earliest phases of this work, 00:13:48.275 --> 00:13:50.712 but our results so far are incredibly encouraging. 00:13:51.310 --> 00:13:54.406 They're suggesting that using the vaccines that we already have, 00:13:54.430 --> 00:13:57.704 we could potentially drastically reduce the size of rabies outbreaks. 00:13:58.637 --> 00:14:01.439 And that matters, because as you remember, 00:14:01.463 --> 00:14:04.243 rabies is a virus that always has to be on the move, 00:14:04.267 --> 00:14:07.382 and so every time we reduce the size of an outbreak, 00:14:07.406 --> 00:14:08.867 we're also reducing the chance 00:14:08.891 --> 00:14:11.136 that the virus makes it onto the next colony. 00:14:11.160 --> 00:14:13.655 We're breaking a link in the chain of transmission. 00:14:14.289 --> 00:14:15.881 And so every time we do that, 00:14:15.905 --> 00:14:18.782 we're bringing the virus one step closer to extinction. 00:14:18.806 --> 00:14:23.518 And so the thought, for me, of a world in the not-too-distant future 00:14:23.542 --> 00:14:26.813 where we're actually talking about getting rid of rabies altogether, 00:14:26.837 --> 00:14:28.908 that is incredibly encouraging and exciting. NOTE Paragraph 00:14:29.631 --> 00:14:31.795 So let me return to the original question. 00:14:31.819 --> 00:14:33.303 Can we prevent pandemics? 00:14:34.119 --> 00:14:38.219 Well, there is no silver-bullet solution to this problem, 00:14:38.243 --> 00:14:41.678 but my experiences with rabies have left me pretty optimistic about it. 00:14:42.282 --> 00:14:44.275 I think we're not too far from a future 00:14:44.299 --> 00:14:47.942 where we're going to have genomics to forecast outbreaks 00:14:47.966 --> 00:14:50.371 and we're going to have clever new technologies, 00:14:50.395 --> 00:14:53.299 like edible, self-spreading vaccines, 00:14:53.323 --> 00:14:55.612 that can get rid of these viruses at their source 00:14:55.636 --> 00:14:57.907 before they have a chance to jump into people. NOTE Paragraph 00:14:58.926 --> 00:15:01.063 So when it comes to fighting pandemics, 00:15:01.087 --> 00:15:03.433 the holy grail is just to get one step ahead. 00:15:04.202 --> 00:15:05.352 And if you ask me, 00:15:05.376 --> 00:15:07.376 I think one of the ways that we can do that 00:15:07.400 --> 00:15:09.983 is using some of the problems that we already have now, 00:15:10.007 --> 00:15:11.239 like rabies -- 00:15:11.263 --> 00:15:14.024 sort of the way an astronaut might use a flight simulator, 00:15:14.048 --> 00:15:16.016 figuring out what works and what doesn't, 00:15:16.040 --> 00:15:17.565 and building up our tool set 00:15:17.589 --> 00:15:19.187 so that when the stakes are high, 00:15:19.211 --> 00:15:20.459 we're not flying blind. NOTE Paragraph 00:15:20.884 --> 00:15:22.035 Thank you. NOTE Paragraph 00:15:22.059 --> 00:15:25.916 (Applause)