WEBVTT 00:00:01.015 --> 00:00:03.777 You may never have heard of Kenema, Sierra Leone 00:00:03.801 --> 00:00:05.333 or Arua, Nigeria. 00:00:05.357 --> 00:00:09.128 But I know them as two of the most extraordinary places on earth. NOTE Paragraph 00:00:09.956 --> 00:00:15.009 In hospitals there, there's a community of nurses, physicians and scientists 00:00:15.033 --> 00:00:16.590 that have been quietly battling 00:00:16.614 --> 00:00:19.314 one of the deadliest threats to humanity for years: 00:00:19.338 --> 00:00:20.512 Lassa virus. 00:00:21.118 --> 00:00:23.256 Lassa virus is a lot like Ebola. 00:00:23.280 --> 00:00:26.513 It can cause a severe fever and can often be fatal. 00:00:27.053 --> 00:00:30.992 But these individuals, they risk their lives every day 00:00:31.016 --> 00:00:33.933 to protect the individuals in their communities, 00:00:33.957 --> 00:00:36.537 and by doing so, protect us all. NOTE Paragraph 00:00:37.093 --> 00:00:40.001 But one of the most extraordinary things I learned about them 00:00:40.025 --> 00:00:42.592 on one of my first visits out there many years ago 00:00:42.616 --> 00:00:44.325 was that they start each morning -- 00:00:44.349 --> 00:00:49.292 these challenging, extraordinary days on the front lines -- by singing. 00:00:49.731 --> 00:00:53.070 They gather together, and they show their joy. 00:00:53.094 --> 00:00:54.616 They show their spirit. 00:00:54.640 --> 00:00:55.799 And over the years, 00:00:55.823 --> 00:00:58.936 from year after year as I've visited them and they've visited me, 00:00:58.960 --> 00:01:00.953 I get to gather with them and I sing 00:01:00.977 --> 00:01:03.151 and we write and we love it, 00:01:03.175 --> 00:01:06.718 because it reminds us that we're not just there to pursue science together; 00:01:06.742 --> 00:01:09.059 we're bonded through a shared humanity. NOTE Paragraph 00:01:09.586 --> 00:01:13.909 And that of course, as you can imagine, becomes extremely important, 00:01:13.933 --> 00:01:16.706 even essential, as things begin to change. 00:01:16.730 --> 00:01:21.519 And that changed a great deal in March of 2014, 00:01:21.543 --> 00:01:23.889 when the Ebola outbreak was declared in Guinea. 00:01:24.426 --> 00:01:26.558 This is the first outbreak in West Africa, 00:01:26.582 --> 00:01:29.024 near the border of Sierra Leone and Liberia. 00:01:30.074 --> 00:01:32.596 And it was frightening, frightening for us all. 00:01:32.620 --> 00:01:34.532 We had actually suspected for some time 00:01:34.556 --> 00:01:37.198 that Lassa and Ebola were more widespread than thought, 00:01:37.222 --> 00:01:39.531 and we thought it could one day come to Kenema. NOTE Paragraph 00:01:39.896 --> 00:01:42.306 And so members of my team immediately went out 00:01:42.330 --> 00:01:44.727 and joined Dr. Humarr Khan and his team there, 00:01:44.751 --> 00:01:48.428 and we set up diagnostics to be able to have sensitive molecular tests 00:01:48.452 --> 00:01:50.605 to pick up Ebola if it came across the border 00:01:50.629 --> 00:01:51.892 and into Sierra Leone. 00:01:51.916 --> 00:01:54.912 We'd already set up this kind of capacity for Lassa virus, 00:01:54.936 --> 00:01:56.093 we knew how to do it, 00:01:56.117 --> 00:01:57.547 the team is outstanding. 00:01:57.571 --> 00:02:00.808 We just had to give them the tools and place to survey for Ebola. NOTE Paragraph 00:02:01.340 --> 00:02:02.968 And unfortunately, that day came. 00:02:02.992 --> 00:02:07.973 On May 23, 2014, a woman checked into the maternity ward at the hospital, 00:02:07.997 --> 00:02:11.723 and the team ran those important molecular tests 00:02:11.747 --> 00:02:15.582 and they identified the first confirmed case of Ebola in Sierra Leone. 00:02:16.107 --> 00:02:18.156 This was an exceptional work that was done. 00:02:18.180 --> 00:02:20.440 They were able to diagnose the case immediately, 00:02:20.464 --> 00:02:22.777 to safely treat the patient 00:02:22.801 --> 00:02:25.819 and to begin to do contact tracing to follow what was going on. 00:02:25.843 --> 00:02:27.815 It could've stopped something. 00:02:27.839 --> 00:02:30.686 But by the time that day came, 00:02:30.710 --> 00:02:33.068 the outbreak had already been breeding for months. 00:02:33.092 --> 00:02:36.732 With hundreds of cases, it had already eclipsed all previous outbreaks. 00:02:36.756 --> 00:02:40.400 And it came into Sierra Leone not as that singular case, 00:02:40.424 --> 00:02:41.716 but as a tidal wave. NOTE Paragraph 00:02:42.120 --> 00:02:44.395 We had to work with the international community, 00:02:44.419 --> 00:02:48.125 with the Ministry of Health, with Kenema, to begin to deal with the cases, 00:02:48.149 --> 00:02:50.220 as the next week brought 31, 00:02:50.244 --> 00:02:53.918 then 92, then 147 cases -- all coming to Kenema, 00:02:53.942 --> 00:02:57.243 one of the only places in Sierra Leone that could deal with this. NOTE Paragraph 00:02:57.610 --> 00:03:01.009 And we worked around the clock trying to do everything we could, 00:03:01.033 --> 00:03:03.994 trying to help the individuals, trying to get attention, 00:03:04.018 --> 00:03:05.965 but we also did one other simple thing. 00:03:06.544 --> 00:03:10.333 From that specimen that we take from a patient's blood to detect Ebola, 00:03:10.357 --> 00:03:12.412 we can discard it, obviously. 00:03:12.436 --> 00:03:16.052 The other thing we can do is, actually, put in a chemical and deactivate it, 00:03:16.076 --> 00:03:18.806 so just place it into a box and ship it across the ocean, 00:03:18.830 --> 00:03:19.981 and that's what we did. 00:03:20.005 --> 00:03:22.101 We sent it to Boston, where my team works. 00:03:22.724 --> 00:03:26.561 And we also worked around the clock doing shift work, day after day, 00:03:26.585 --> 00:03:30.454 and we quickly generated 99 genomes of the Ebola virus. 00:03:30.478 --> 00:03:33.535 This is the blueprint -- the genome of a virus is the blueprint. 00:03:33.559 --> 00:03:34.718 We all have one. 00:03:34.742 --> 00:03:36.687 It says everything that makes up us, 00:03:36.711 --> 00:03:38.620 and it tells us so much information. NOTE Paragraph 00:03:38.644 --> 00:03:41.821 The results of this kind of work are simple and they're powerful. 00:03:42.396 --> 00:03:44.866 We could actually take these 99 different viruses, 00:03:44.890 --> 00:03:46.337 look at them and compare them, 00:03:46.361 --> 00:03:49.207 and we could see, actually, compared to three genomes 00:03:49.231 --> 00:03:52.067 that had been previously published from Guinea, 00:03:52.091 --> 00:03:55.802 we could show that the outbreak emerged in Guinea months before, 00:03:55.826 --> 00:03:57.668 once into the human population, 00:03:57.692 --> 00:04:00.364 and from there had been transmitting from human to human. 00:04:00.388 --> 00:04:01.932 Now, that's incredibly important 00:04:01.956 --> 00:04:04.324 when you're trying to figure out how to intervene, 00:04:04.348 --> 00:04:06.414 but the important thing is contact tracing. 00:04:06.438 --> 00:04:09.840 We also could see that as the virus was moving between humans, 00:04:09.864 --> 00:04:11.121 it was mutating. 00:04:11.145 --> 00:04:13.296 And each of those mutations are so important, 00:04:13.320 --> 00:04:15.640 because the diagnostics, the vaccines, 00:04:15.664 --> 00:04:17.149 the therapies that we're using, 00:04:17.173 --> 00:04:20.531 are all based on that genome sequence, fundamentally -- 00:04:20.555 --> 00:04:21.776 that's what drives it. 00:04:21.800 --> 00:04:24.682 And so global health experts would need to respond, 00:04:24.706 --> 00:04:25.903 would have to develop, 00:04:25.927 --> 00:04:28.480 to recalibrate everything that they were doing. NOTE Paragraph 00:04:29.079 --> 00:04:32.260 But the way that science works, the position I was in at that point 00:04:32.284 --> 00:04:33.435 is, I had the data, 00:04:33.459 --> 00:04:36.095 and I could have worked in a silo for many, many months, 00:04:36.119 --> 00:04:38.318 analyzed the data carefully, slowly, 00:04:38.342 --> 00:04:41.802 submitted the paper for publication, gone through a few back-and-forths, 00:04:41.826 --> 00:04:44.955 and then finally when the paper came out, might release that data. 00:04:44.979 --> 00:04:47.183 That's the way the status quo works. NOTE Paragraph 00:04:47.207 --> 00:04:49.778 Well, that was not going to work at this point, right? 00:04:49.802 --> 00:04:51.410 We had friends on the front lines 00:04:51.434 --> 00:04:54.688 and to us it was just obvious that what we needed is help, 00:04:54.712 --> 00:04:55.868 lots of help. 00:04:55.892 --> 00:04:57.289 So the first thing we did is, 00:04:57.313 --> 00:04:59.998 as soon as the sequences came off the machines, 00:05:00.022 --> 00:05:01.451 we published it to the web. 00:05:01.475 --> 00:05:04.311 We just released it to the whole world and said, "Help us." 00:05:04.335 --> 00:05:05.670 And help came. NOTE Paragraph 00:05:05.694 --> 00:05:06.856 Before we knew it, 00:05:06.880 --> 00:05:09.216 we were being contacted from people all over, 00:05:09.240 --> 00:05:11.684 surprised to see the data out there and released. 00:05:11.708 --> 00:05:13.960 Some of the greatest viral trackers in the world 00:05:13.984 --> 00:05:16.063 were suddenly part of our community. 00:05:16.087 --> 00:05:18.417 We were working together in this virtual way, 00:05:18.441 --> 00:05:21.422 sharing, regular calls, communications, 00:05:21.446 --> 00:05:24.197 trying to follow the virus minute by minute, 00:05:24.221 --> 00:05:26.442 to see ways that we could stop it. NOTE Paragraph 00:05:27.027 --> 00:05:30.785 And there are so many ways that we can form communities like that. 00:05:31.182 --> 00:05:35.507 Everybody, particularly when the outbreak started to expand globally, 00:05:35.531 --> 00:05:39.121 was reaching out to learn, to participate, to engage. 00:05:39.788 --> 00:05:41.382 Everybody wants to play a part. 00:05:41.406 --> 00:05:44.186 The amount of human capacity out there is just amazing, 00:05:44.210 --> 00:05:45.933 and the Internet connects us all. 00:05:45.957 --> 00:05:49.208 And could you imagine that instead of being frightened of each other, 00:05:49.232 --> 00:05:51.089 that we all just said, "Let's do this. 00:05:51.113 --> 00:05:53.636 Let's work together, and let's make this happen." NOTE Paragraph 00:05:53.660 --> 00:05:56.402 But the problem is that the data that all of us are using, 00:05:56.426 --> 00:06:00.463 Googling on the web, is just too limited to do what we need to do. 00:06:00.487 --> 00:06:03.138 And so many opportunities get missed when that happens. 00:06:03.162 --> 00:06:05.643 So in the early part of the epidemic from Kenema, 00:06:05.667 --> 00:06:08.409 we'd had 106 clinical records from patients, 00:06:08.433 --> 00:06:11.267 and we once again made that publicly available to the world. 00:06:11.291 --> 00:06:14.961 And in our own lab, we could show that you could take those 106 records, 00:06:14.985 --> 00:06:18.603 we could train computers to predict the prognosis for Ebola patients 00:06:18.627 --> 00:06:20.404 to near 100 percent accuracy. 00:06:20.428 --> 00:06:22.525 And we made an app that could release that, 00:06:22.549 --> 00:06:25.319 to make that available to health-care workers in the field. NOTE Paragraph 00:06:25.343 --> 00:06:28.602 But 106 is just not enough to make it powerful, 00:06:28.626 --> 00:06:29.777 to validate it. 00:06:29.801 --> 00:06:32.455 So we were waiting for more data to release that. 00:06:32.479 --> 00:06:34.523 and the data has still not come. 00:06:34.547 --> 00:06:37.079 We are still waiting, tweaking away, 00:06:37.103 --> 00:06:39.941 in silos rather than working together. 00:06:39.965 --> 00:06:42.197 And this just -- we can't accept that. 00:06:42.221 --> 00:06:46.025 Right? You, all of you, cannot accept that. 00:06:46.049 --> 00:06:47.731 It's our lives on the line. 00:06:47.755 --> 00:06:49.466 And in fact, actually, 00:06:49.490 --> 00:06:52.033 many lives were lost, many health-care workers, 00:06:52.057 --> 00:06:53.951 including beloved colleagues of mine, 00:06:53.975 --> 00:06:57.722 five colleagues: Mbalu Fonnie, Alex Moigboi, 00:06:57.746 --> 00:07:01.757 Dr. Humarr Khan, Alice Kovoma and Mohamed Fullah. 00:07:01.781 --> 00:07:04.307 These are just five of many health-care workers 00:07:04.331 --> 00:07:06.095 at Kenema and beyond 00:07:06.119 --> 00:07:09.155 that died while the world waited and while we all worked, 00:07:09.179 --> 00:07:11.039 quietly and separately. NOTE Paragraph 00:07:11.063 --> 00:07:13.096 See, Ebola, like all threats to humanity, 00:07:13.120 --> 00:07:17.004 it's fueled by mistrust and distraction and division. 00:07:17.028 --> 00:07:20.801 When we build barriers amongst ourselves and we fight amongst ourselves, 00:07:20.825 --> 00:07:22.645 the virus thrives. 00:07:22.669 --> 00:07:24.461 But unlike all threats to humanity, 00:07:24.485 --> 00:07:27.131 Ebola is one where we're actually all the same. 00:07:27.155 --> 00:07:29.035 We're all in this fight together. 00:07:29.059 --> 00:07:31.693 Ebola on one person's doorstep could soon be on ours. 00:07:32.177 --> 00:07:34.979 And so in this place with the same vulnerabilities, 00:07:35.003 --> 00:07:37.416 the same strengths, the same fears, the same hopes, 00:07:37.440 --> 00:07:40.649 I hope that we work together with joy. NOTE Paragraph 00:07:42.427 --> 00:07:45.497 A graduate student of mine was reading a book about Sierra Leone, 00:07:45.521 --> 00:07:47.855 and she discovered that the word "Kenema," 00:07:47.879 --> 00:07:51.322 the hospital that we work at and the city where we work in Sierra Leone, 00:07:51.346 --> 00:07:55.527 is named after the Mende word for "clear like a river, translucent 00:07:55.551 --> 00:07:57.138 and open to the public gaze." 00:07:57.439 --> 00:07:58.984 That was really profound for us, 00:07:59.008 --> 00:08:01.102 because without knowing it, we'd always felt 00:08:01.126 --> 00:08:04.310 that in order to honor the individuals in Kenema where we worked, 00:08:04.334 --> 00:08:08.621 we had to work openly, we had to share and we had to work together. 00:08:09.074 --> 00:08:10.251 And we have to do that. 00:08:10.275 --> 00:08:14.036 We all have to demand that of ourselves and others -- 00:08:14.060 --> 00:08:16.934 to be open to each other when an outbreak happens, 00:08:16.958 --> 00:08:18.608 to fight in this fight together. 00:08:18.632 --> 00:08:21.541 Because this is not the first outbreak of Ebola, 00:08:21.565 --> 00:08:23.013 it will not be the last, 00:08:23.037 --> 00:08:26.192 and there are many other microbes out there that are lying in wait, 00:08:26.216 --> 00:08:27.641 like Lassa virus and others. 00:08:27.665 --> 00:08:29.174 And the next time this happens, 00:08:29.198 --> 00:08:32.394 it could happen in a city of millions, it could start there. 00:08:32.418 --> 00:08:35.117 It could be something that's transmitted through the air. 00:08:35.141 --> 00:08:37.288 It could even be disseminated intentionally. 00:08:37.312 --> 00:08:40.293 And I know that that is frightening, I understand that, 00:08:40.317 --> 00:08:42.971 but I know also, and this experience shows us, 00:08:42.995 --> 00:08:46.315 that we have the technology and we have the capacity 00:08:46.339 --> 00:08:47.934 to win this thing, 00:08:47.958 --> 00:08:50.804 to win this and have the upper hand over viruses. 00:08:50.828 --> 00:08:53.100 But we can only do it if we do it together 00:08:53.124 --> 00:08:54.321 and we do it with joy. NOTE Paragraph 00:08:54.871 --> 00:08:56.392 So for Dr. Khan 00:08:56.416 --> 00:09:00.582 and for all of those who sacrificed their lives on the front lines 00:09:00.606 --> 00:09:03.006 in this fight with us always, 00:09:03.030 --> 00:09:05.837 let us be in this fight with them always. 00:09:05.861 --> 00:09:07.736 And let us not let the world be defined 00:09:07.760 --> 00:09:09.879 by the destruction wrought by one virus, 00:09:09.903 --> 00:09:12.684 but illuminated by billions of hearts and minds 00:09:12.708 --> 00:09:13.916 working in unity. NOTE Paragraph 00:09:13.940 --> 00:09:15.114 Thank you. NOTE Paragraph 00:09:15.138 --> 00:09:22.007 (Applause)