1 00:00:00,697 --> 00:00:05,383 When I was invited to give this talk a couple of months ago, 2 00:00:05,383 --> 00:00:08,893 we discussed a number of titles with the organizers, 3 00:00:08,893 --> 00:00:12,308 and a lot of different items were kicked around and were discussed. 4 00:00:12,308 --> 00:00:14,349 But nobody suggested this one, 5 00:00:14,349 --> 00:00:17,278 and the reason for that was two months ago, 6 00:00:17,278 --> 00:00:20,190 Ebola was escalating exponentially 7 00:00:20,190 --> 00:00:24,553 and spreading over wider geographic areas than we had ever seen, 8 00:00:24,553 --> 00:00:27,822 and the world was terrified, concerned and alarmed 9 00:00:27,822 --> 00:00:32,790 by this disease, in a way we've not seen in recent history. 10 00:00:32,790 --> 00:00:38,960 But today, I can stand here and I can talk to you about beating Ebola 11 00:00:38,960 --> 00:00:42,651 because of people whom you've never heard of, 12 00:00:42,656 --> 00:00:49,815 people like Peter Clement, a Liberian doctor who's working in Lofa County, 13 00:00:49,815 --> 00:00:55,294 a place that many of you have never heard of, probably, in Liberia. 14 00:00:55,294 --> 00:00:57,684 The reason that Lofa County is so important 15 00:00:57,684 --> 00:01:00,115 is because about five months ago, 16 00:01:00,115 --> 00:01:04,533 when the epidemic was just starting to escalate, 17 00:01:04,533 --> 00:01:09,477 Lofa County was right at the center, the epicenter of this epidemic. 18 00:01:09,477 --> 00:01:13,222 At that time, MSF and the treatment center there, 19 00:01:13,222 --> 00:01:16,097 they were seeing dozens of patients every single day, 20 00:01:16,097 --> 00:01:20,345 and these patients, these communities were becoming more and more terrified 21 00:01:20,345 --> 00:01:24,713 as time went by, with this disease and what it was doing to their families, 22 00:01:24,713 --> 00:01:28,329 to their communities, to their children, to their relatives. 23 00:01:28,329 --> 00:01:33,092 And so Peter Clement was charged with driving that 12-hour-long rough road 24 00:01:33,092 --> 00:01:37,339 from Monrovia, the capital, up to Lofa County, 25 00:01:37,339 --> 00:01:41,701 to try and help bring control to the escalating epidemic there. 26 00:01:41,701 --> 00:01:47,063 And what Peter found when he arrived was the terror that I just mentioned to you. 27 00:01:47,063 --> 00:01:51,304 So he sat down with the local chiefs, and he listened. 28 00:01:51,304 --> 00:01:54,945 And what he heard was heartbreaking. 29 00:01:54,945 --> 00:01:59,279 He heard about the devastation and the desperation 30 00:01:59,279 --> 00:02:02,578 of people affected by this disease. 31 00:02:02,578 --> 00:02:04,656 He heard the heartbreaking stories 32 00:02:04,656 --> 00:02:08,103 about not just the damage that Ebola did to people, 33 00:02:08,103 --> 00:02:11,299 but what it did to families and what it did to communities. 34 00:02:12,589 --> 00:02:16,999 And he listened to the local chiefs there and what they told him -- 35 00:02:16,999 --> 00:02:20,443 They said, "When our children are sick, when our children are dying, 36 00:02:20,443 --> 00:02:24,247 we can't hold them at a time when we want to be closest to them. 37 00:02:24,247 --> 00:02:28,937 When our relatives die, we can't take care of them as our tradition demands. 38 00:02:28,937 --> 00:02:31,617 We are not allowed to wash the bodies to bury them 39 00:02:31,617 --> 00:02:34,801 the way our communities and our rituals demand. 40 00:02:34,801 --> 00:02:38,208 And for this reason, they were deeply disturbed, deeply alarmed 41 00:02:38,208 --> 00:02:41,995 and the entire epidemic was unraveling in front of them. 42 00:02:41,995 --> 00:02:44,911 People were turning on the healthcare workers who had come, 43 00:02:44,911 --> 00:02:48,265 the heroes who had come to try and help save the community, 44 00:02:48,265 --> 00:02:53,184 to help work with the community, and they were unable to access them. 45 00:02:53,184 --> 00:02:58,402 And what happened then was Peter explained to the leaders. 46 00:02:58,402 --> 00:03:01,137 The leaders listened. They turned the tables. 47 00:03:01,137 --> 00:03:04,744 And Peter explained what Ebola was. He explained what the disease was. 48 00:03:04,744 --> 00:03:07,019 He explained what it did to their communities. 49 00:03:07,019 --> 00:03:12,177 And he explained that Ebola threatened everything that made us human. 50 00:03:12,177 --> 00:03:16,563 Ebola means you can't hold your children the way you would in this situation. 51 00:03:16,563 --> 00:03:18,873 You can't bury your dead the way that you would. 52 00:03:18,873 --> 00:03:23,516 You have to trust these people in these space suits to do that for you. 53 00:03:23,516 --> 00:03:26,865 And ladies and gentlemen, what happened then was rather extraordinary: 54 00:03:26,865 --> 00:03:30,111 The community and the health workers, Peter, they sat down together 55 00:03:30,111 --> 00:03:35,168 and they put together a new plan for controlling Ebola in Lofa County. 56 00:03:35,168 --> 00:03:39,642 And the reason that this is such an important story, ladies and gentlemen, 57 00:03:39,642 --> 00:03:44,736 is because today, this county, which is right at the center of this epidemic 58 00:03:44,736 --> 00:03:47,563 you've been watching, you've been seeing in the newspapers, 59 00:03:47,563 --> 00:03:51,306 you've been seeing on the television screens, 60 00:03:51,306 --> 00:03:57,393 today Lofa County is nearly eight weeks without seeing a single case of Ebola. 61 00:03:57,393 --> 00:04:04,439 (Applause) 62 00:04:04,449 --> 00:04:07,872 Now, this doesn't mean that the job is done, obviously. 63 00:04:07,872 --> 00:04:11,128 There's still a huge risk that there will be additional cases there. 64 00:04:11,128 --> 00:04:14,392 But what it does teach us is that Ebola can be beaten. 65 00:04:14,392 --> 00:04:16,049 That's the key thing. 66 00:04:16,049 --> 00:04:17,216 Even on this scale, 67 00:04:17,216 --> 00:04:21,113 even with the rapid kind of growth that we saw in this environment here, 68 00:04:21,113 --> 00:04:24,571 we now know Ebola can be beaten. 69 00:04:24,571 --> 00:04:28,562 When communities come together with health care workers, work together, 70 00:04:28,562 --> 00:04:31,235 that's when this disease can be stopped. 71 00:04:31,235 --> 00:04:34,885 But how did Ebola end up in Lofa County in the first place? 72 00:04:34,885 --> 00:04:39,577 Well, for that, we have to go back 12 months, to the start of this epidemic. 73 00:04:39,577 --> 00:04:42,828 And as many of you know, this virus went undetected, 74 00:04:42,828 --> 00:04:46,803 it evaded detection for three or four months when it began. 75 00:04:46,803 --> 00:04:49,466 That's because this is not a disease of West Africa, 76 00:04:49,466 --> 00:04:52,611 it's a disease of Central Africa, half a continent away. 77 00:04:52,611 --> 00:04:54,547 People hadn't seen the disease before; 78 00:04:54,547 --> 00:04:57,156 health workers hadn't seen the disease before. 79 00:04:57,156 --> 00:04:59,324 They didn't know what they were dealing with, 80 00:04:59,324 --> 00:05:01,383 and to make it even more complicated, 81 00:05:01,383 --> 00:05:05,951 the virus itself was causing a symptom, a type of a presentation 82 00:05:05,951 --> 00:05:08,216 that wasn't classical of the disease. 83 00:05:08,216 --> 00:05:12,631 So people didn't even recognize the disease, people who knew Ebola. 84 00:05:12,631 --> 00:05:16,490 For that reason it evaded detection for some time, 85 00:05:16,490 --> 00:05:19,660 But contrary to public belief sometimes these days, 86 00:05:19,660 --> 00:05:25,175 once the virus was detected, there was a rapid surge in of support. 87 00:05:25,175 --> 00:05:30,236 MSF rapidly set up an Ebola treatment center, as many of you know, in the area. 88 00:05:30,236 --> 00:05:33,330 The World Health Organization and the partners that it works with 89 00:05:33,330 --> 00:05:37,005 deployed eventually hundreds of people over the next two months 90 00:05:37,005 --> 00:05:39,393 to be able to help track the virus. 91 00:05:39,393 --> 00:05:43,424 The problem, ladies and gentlemen, is by then, this virus, 92 00:05:43,424 --> 00:05:46,977 well known now as Ebola, had spread too far. 93 00:05:46,977 --> 00:05:50,186 It had already outstripped what was one of the largest responses 94 00:05:50,186 --> 00:05:53,995 that had been mounted so far to an Ebola outbreak. 95 00:05:53,995 --> 00:05:56,403 By the middle of the year, not just Guinea 96 00:05:56,403 --> 00:06:00,366 but now Sierra Leone and Liberia were also infected. 97 00:06:00,366 --> 00:06:05,233 As the virus was spreading geographically, the numbers were increasing 98 00:06:05,233 --> 00:06:10,289 and at this time, not only were hundreds of people infected 99 00:06:10,289 --> 00:06:12,168 and dying of the disease, 100 00:06:12,168 --> 00:06:14,907 but as importantly, the front line responders, 101 00:06:14,907 --> 00:06:17,750 the people who had gone to try and help, 102 00:06:17,750 --> 00:06:20,892 the health care workers, the other responders 103 00:06:20,892 --> 00:06:23,498 were also sick and dying by the dozens. 104 00:06:23,934 --> 00:06:26,882 The presidents of these countries recognized the emergencies. 105 00:06:26,882 --> 00:06:30,422 They met right around that time, they agreed on common action 106 00:06:30,422 --> 00:06:34,640 and they put together an emergency joint operation center in Conakry 107 00:06:34,640 --> 00:06:38,960 to try and work together to finish this disease and get it stopped, 108 00:06:38,960 --> 00:06:41,712 to implement the strategies we talked about. 109 00:06:42,242 --> 00:06:46,199 But what happened then was something we had never seen before with Ebola. 110 00:06:46,199 --> 00:06:49,785 What happened then was the virus, or someone sick with the virus, 111 00:06:49,785 --> 00:06:53,181 boarded an airplane, flew to another country, 112 00:06:53,181 --> 00:06:57,323 and for the first time, we saw in another distant country 113 00:06:57,323 --> 00:06:59,879 the virus pop up again. 114 00:06:59,879 --> 00:07:04,286 This time it was in Nigeria, in the teeming metropolis of Lagos, 115 00:07:04,286 --> 00:07:06,245 21 million people. 116 00:07:06,245 --> 00:07:09,228 Now the virus was in that environment. 117 00:07:09,228 --> 00:07:12,768 And as you can anticipate, there was international alarm, 118 00:07:12,768 --> 00:07:16,536 international concern on a scale that we hadn't seen in recent years 119 00:07:16,536 --> 00:07:18,990 caused by a disease like this. 120 00:07:18,990 --> 00:07:23,630 The World Health Organization immediately called together an expert panel, 121 00:07:23,630 --> 00:07:27,251 looked at the situation, declared an international emergency. 122 00:07:27,256 --> 00:07:32,346 And in doing so, the expectation would be that there would be a huge outpouring 123 00:07:32,346 --> 00:07:35,316 of international assistance to help these countries 124 00:07:35,316 --> 00:07:39,034 which were in so much trouble and concern at that time. 125 00:07:39,364 --> 00:07:42,111 But what we saw was something very different. 126 00:07:42,341 --> 00:07:45,869 There was some great response. 127 00:07:45,869 --> 00:07:50,630 A number of countries came to assist -- many, many NGOs and others, as you know, 128 00:07:50,630 --> 00:07:54,046 but at the same time, the opposite happened in many places. 129 00:07:54,046 --> 00:07:58,161 Alarm escalated, and very soon these countries found themselves 130 00:07:58,161 --> 00:08:02,556 not receiving the support they needed, but increasingly isolated. 131 00:08:02,556 --> 00:08:07,290 What we saw was commercial airlines started flying into these countries 132 00:08:07,290 --> 00:08:09,881 and people who hadn't even been exposed to the virus 133 00:08:09,881 --> 00:08:12,043 were no longer allowed to travel. 134 00:08:12,043 --> 00:08:15,971 This cause not only problems, obviously, for the countries themselves, 135 00:08:15,971 --> 00:08:18,093 but also for the response. 136 00:08:18,093 --> 00:08:21,055 Those organizations that were trying to bring people in, 137 00:08:21,055 --> 00:08:23,261 to try and help them respond to the outbreak, 138 00:08:23,261 --> 00:08:25,193 they could not get people on airplanes, 139 00:08:25,193 --> 00:08:28,392 they could not get them into the countries to be able to respond. 140 00:08:28,392 --> 00:08:30,404 In that situation, ladies and gentleman, 141 00:08:30,404 --> 00:08:33,639 a virus like Ebola takes advantage. 142 00:08:33,639 --> 00:08:38,577 And what we saw then was something also we hadn't seen before. 143 00:08:38,577 --> 00:08:41,733 Not only did this virus continue in the places 144 00:08:41,733 --> 00:08:45,324 where they'd already become infected, but then it started to escalate 145 00:08:45,324 --> 00:08:47,692 and we saw the case numbers that you see here, 146 00:08:47,692 --> 00:08:50,746 something we'd never seen before on such a scale, 147 00:08:50,746 --> 00:08:53,783 an exponential increase of Ebola cases 148 00:08:53,783 --> 00:08:58,024 not just in these countries or the areas already infected in these countries 149 00:08:58,024 --> 00:09:01,883 but also spreading further and deeper into these countries. 150 00:09:01,883 --> 00:09:04,947 Ladies and gentleman, this was one of the most concerning 151 00:09:04,947 --> 00:09:09,772 international emergencies in public health we've ever seen. 152 00:09:10,502 --> 00:09:12,553 And what happened in these countries then, 153 00:09:12,553 --> 00:09:16,742 many of you saw, again, on the television, read about in the newspapers, 154 00:09:16,742 --> 00:09:22,102 we saw the health system start to collapse under the weight of this epidemic. 155 00:09:22,102 --> 00:09:26,722 We saw the schools begin to close, markets no longer started, 156 00:09:26,722 --> 00:09:30,042 no longer functioned the way that they should in these countries. 157 00:09:30,042 --> 00:09:34,161 We saw that misinformation and misperceptions started to spread 158 00:09:34,161 --> 00:09:37,645 even faster through the communities, which became even more alarmed 159 00:09:37,645 --> 00:09:39,260 about the situation. 160 00:09:39,260 --> 00:09:42,844 They started to recoil from those people that you saw in those space suits, 161 00:09:42,844 --> 00:09:45,091 as they call them, who had come to help them. 162 00:09:45,091 --> 00:09:48,118 And then the situation deteriorated even further. 163 00:09:48,118 --> 00:09:50,800 The countries had to declare a state of emergency. 164 00:09:50,800 --> 00:09:56,205 Large populations needed to be quarantined in some areas, and then riots broke out. 165 00:09:56,205 --> 00:09:59,975 It was a very, very terrifying situation. 166 00:09:59,975 --> 00:10:02,834 Around the world, many people began to ask, 167 00:10:02,834 --> 00:10:06,803 can we ever stop Ebola when it starts to spread like this? 168 00:10:06,803 --> 00:10:11,255 And they started to ask, how well do we really know this virus? 169 00:10:11,585 --> 00:10:14,740 The reality is we don't know Ebola extremely well. 170 00:10:14,740 --> 00:10:18,735 It's a relatively modern disease in terms of what we know about it. 171 00:10:18,735 --> 00:10:21,020 We've known the disease only for 40 years, 172 00:10:21,020 --> 00:10:24,502 since it first popped up in Central Africa in 1976. 173 00:10:24,502 --> 00:10:27,582 But despite that, we do know many things: 174 00:10:27,582 --> 00:10:31,805 We know that this virus probably survives in a type of a bat. 175 00:10:31,805 --> 00:10:34,921 We know that it probably enters a human population 176 00:10:34,921 --> 00:10:37,528 when we come in contact with a wild animal 177 00:10:37,528 --> 00:10:41,086 that has been infected with the virus and probably sickened by it. 178 00:10:41,086 --> 00:10:44,307 Then we know that the virus spreads from person to person 179 00:10:44,307 --> 00:10:46,580 through contaminated body fluids. 180 00:10:46,580 --> 00:10:48,071 And as you've all seen, 181 00:10:48,071 --> 00:10:51,553 we know the horrific disease that it then causes in humans, 182 00:10:51,553 --> 00:10:56,071 where we see this disease cause severe fevers, diarrhea, vomiting, 183 00:10:56,071 --> 00:11:02,541 and then unfortunately, in 70 percent of the cases or often more, death. 184 00:11:02,541 --> 00:11:07,884 This is a very dangerous, debilitating, and deadly disease. 185 00:11:08,344 --> 00:11:12,517 But despite the fact that we've not known this disease for a particularly long time, 186 00:11:12,517 --> 00:11:17,394 and we don't know everything about it, we do know how to stop this disease. 187 00:11:17,394 --> 00:11:20,608 There are four things that are critical to stopping Ebola. 188 00:11:20,608 --> 00:11:24,922 First and foremost, the communities have got to understand this disease, 189 00:11:24,922 --> 00:11:28,443 they've got to understand how it spreads and how to stop it. 190 00:11:28,443 --> 00:11:32,519 And then we've got to be able to have systems that can find every single case, 191 00:11:32,519 --> 00:11:34,525 every contact of those cases, 192 00:11:34,525 --> 00:11:38,682 and begin to track the transmission chains so that you can stop transmission. 193 00:11:38,682 --> 00:11:42,304 We have to have treatment centers, specialized Ebola treatment centers, 194 00:11:42,304 --> 00:11:44,817 where the workers can be protected 195 00:11:44,817 --> 00:11:49,689 as they try to provide support to the people who are infected, 196 00:11:49,689 --> 00:11:52,134 so that they might survive the disease. 197 00:11:52,134 --> 00:11:54,334 And then for those who do die, 198 00:11:54,334 --> 00:12:00,192 we have to ensure there is a safe, but at the same time dignified, burial process, 199 00:12:00,192 --> 00:12:04,088 so that there is no spread at that time as well. 200 00:12:04,798 --> 00:12:09,299 So we do know how to stop Ebola, and these strategies work, ladies and gentlemen. 201 00:12:09,299 --> 00:12:13,458 The virus was stopped in Nigeria by these four strategies 202 00:12:13,458 --> 00:12:15,562 and the people implementing them, obviously. 203 00:12:15,562 --> 00:12:19,584 It was stopped in Senegal, where it had spread, and also in the other countries 204 00:12:19,584 --> 00:12:23,177 that were affected by this virus, in this outbreak. 205 00:12:23,177 --> 00:12:27,018 So there's no question that these strategies actually work. 206 00:12:27,018 --> 00:12:32,326 The big question, ladies and gentlemen, was whether these strategies could work 207 00:12:32,326 --> 00:12:36,600 on this scale, in this situation, with so many countries affected 208 00:12:36,600 --> 00:12:40,206 with the kind of exponential growth that you saw. 209 00:12:40,206 --> 00:12:44,757 That was the big question that we were facing just two or three months ago. 210 00:12:44,757 --> 00:12:48,801 Today we know the answer to that question. 211 00:12:48,801 --> 00:12:51,779 And we know that answer because of the extraordinary work 212 00:12:51,779 --> 00:12:56,546 of an incredible group of NGOs, of governments, of local leaders, 213 00:12:56,546 --> 00:13:00,932 of U.N. agencies and many humanitarian and other organizations 214 00:13:00,932 --> 00:13:04,850 that came and joined the fight to try and stop Ebola in West Africa. 215 00:13:04,850 --> 00:13:08,293 But what had to be done there was slightly different. 216 00:13:08,293 --> 00:13:11,218 These countries took those strategies I just showed you; 217 00:13:11,218 --> 00:13:16,624 the community engagement, the case finding, contact tracing, etc., 218 00:13:16,624 --> 00:13:18,548 and they turned them on their head. 219 00:13:18,548 --> 00:13:21,481 There was so much disease, they approached it differently. 220 00:13:21,481 --> 00:13:26,912 What they decided to do was they would first try and slow down this epidemic 221 00:13:26,912 --> 00:13:31,899 by rapidly building as many beds as possible in specialized treatment centers 222 00:13:31,899 --> 00:13:37,203 so that they could prevent the disease from spreading from those were infected. 223 00:13:37,203 --> 00:13:39,652 They would rapidly build out many, many burial teams 224 00:13:39,652 --> 00:13:41,827 so that they could safely deal with the dead, 225 00:13:41,827 --> 00:13:44,394 and with that, they would try and slow this outbreak 226 00:13:44,394 --> 00:13:48,613 to see if it could actually then be controlled using the classic approach 227 00:13:48,613 --> 00:13:51,364 of case finding and contact tracing. 228 00:13:51,364 --> 00:13:54,657 And when I went to West Africa about three months ago, 229 00:13:54,657 --> 00:13:57,669 when I was there what I saw was extraordinary. 230 00:13:57,669 --> 00:14:02,595 I saw presidents opening emergency operation centers themselves against Ebola 231 00:14:02,595 --> 00:14:06,363 so that they could personally coordinate and oversee and champion 232 00:14:06,363 --> 00:14:10,450 this surge of international support to try and stop this disease. 233 00:14:10,450 --> 00:14:14,001 We saw militaries from within those countries and from far beyond 234 00:14:14,001 --> 00:14:16,741 coming in to help build Ebola treatment centers 235 00:14:16,741 --> 00:14:19,991 that could be used to isolate those who were sick. 236 00:14:24,417 --> 00:14:29,574 to help train the communities so that they could actually safely bury their dead 237 00:14:19,991 --> 00:14:24,417 We saw the Red Cross movement working with its partner agencies on the ground there 238 00:14:29,574 --> 00:14:32,132 in a dignified manner themselves. 239 00:14:32,132 --> 00:14:34,933 And we saw the U.N. agencies, the World Food Program, 240 00:14:34,933 --> 00:14:36,834 build a tremendous air bridge 241 00:14:36,834 --> 00:14:40,736 that could get responders to every single corner of these countries rapidly 242 00:14:40,736 --> 00:14:44,089 to be able to implement the strategies that we just talked about. 243 00:14:44,089 --> 00:14:47,434 What we saw, ladies and gentlemen, which was probably most impressive, 244 00:14:47,434 --> 00:14:50,451 was this incredible work by the governments, 245 00:14:50,451 --> 00:14:53,468 by the leaders in these countries, with the communities, 246 00:14:53,468 --> 00:14:56,486 to try to ensure people understood this disease, 247 00:14:56,486 --> 00:15:02,169 understood the extraordinary things they would have to do to try and stop Ebola. 248 00:15:02,169 --> 00:15:04,462 And as a result, ladies and gentlemen, 249 00:15:04,462 --> 00:15:08,905 we saw something that we did not know only two or three months earlier, 250 00:15:08,905 --> 00:15:11,179 whether or not it would be possible. 251 00:15:11,179 --> 00:15:14,309 What we saw was what you see now in this graph, 252 00:15:14,309 --> 00:15:17,118 when we took stock on December 1. 253 00:15:17,118 --> 00:15:20,560 What we saw was we could bend that curve, so to speak, 254 00:15:20,560 --> 00:15:22,934 change this exponential growth, 255 00:15:22,934 --> 00:15:27,163 and bring some hope back to the ability to control this outbreak. 256 00:15:27,163 --> 00:15:31,217 And for this reason, ladies and gentlemen, there's absolutely no question now 257 00:15:31,217 --> 00:15:37,018 that we can catch up with this outbreak in West Africa and we can beat Ebola. 258 00:15:37,785 --> 00:15:40,958 The big question, though, that many people are asking, 259 00:15:40,958 --> 00:15:42,941 even when they saw this curve, they said, 260 00:15:42,941 --> 00:15:45,845 "Well, hang on a minute -- that's great you can slow it down, 261 00:15:45,845 --> 00:15:47,896 but can you actually drive it down to zero?" 262 00:15:47,896 --> 00:15:51,437 We already answered that question back at the beginning of this talk, 263 00:15:51,437 --> 00:15:55,590 when I spoke about Lofa County in Liberia. 264 00:15:55,590 --> 00:15:59,016 We told you the story how Lofa County got to a situation 265 00:15:59,016 --> 00:16:01,829 where they have not seen Ebola for eight weeks. 266 00:16:01,829 --> 00:16:05,205 But there are similar stories from the other countries as well. 267 00:16:05,205 --> 00:16:07,451 From Gueckedou in Guinea, 268 00:16:07,451 --> 00:16:11,959 the first area where the first case was actually diagnosed. 269 00:16:11,959 --> 00:16:15,373 We've seen very, very few cases in the last couple of months, 270 00:16:15,373 --> 00:16:19,800 and here in Kenema, in Sierra Leone, another area in the epicenter, 271 00:16:19,800 --> 00:16:23,061 we have not seen the virus for more than a couple of weeks -- 272 00:16:23,061 --> 00:16:26,156 way too early to declare victory, obviously, 273 00:16:26,156 --> 00:16:27,931 but evidence, ladies and gentlemen, 274 00:16:27,931 --> 00:16:31,556 not only can the response catch up to the disease, 275 00:16:31,556 --> 00:16:34,722 but this disease can be driven to zero. 276 00:16:34,722 --> 00:16:38,878 The challenge now, of course, is doing this on the scale needed 277 00:16:38,878 --> 00:16:44,244 right across these three countries, and that is a huge challenge. 278 00:16:44,244 --> 00:16:48,949 Because when you've been at something for this long, on this scale, 279 00:16:48,949 --> 00:16:52,949 two other big threats come in to join the virus. 280 00:16:52,949 --> 00:16:56,052 The first of those is complacency, 281 00:16:56,052 --> 00:16:59,475 the risk that as this disease curve starts to bend, 282 00:16:59,475 --> 00:17:02,739 the media look elsewhere, the world looks elsewhere. 283 00:17:02,739 --> 00:17:04,371 Complacency always a risk. 284 00:17:04,371 --> 00:17:08,714 And the other risk, of course, is when you've been working so hard for so long, 285 00:17:08,714 --> 00:17:12,352 and slept so few hours over the past months, 286 00:17:12,352 --> 00:17:14,590 people are tired, people become fatigued, 287 00:17:14,590 --> 00:17:18,660 and these new risks start to creep into the response. 288 00:17:18,660 --> 00:17:22,940 Ladies and gentlemen, I can tell you today I've just come back from West Africa. 289 00:17:22,940 --> 00:17:26,640 The people of these countries, the leaders of these countries, 290 00:17:26,640 --> 00:17:28,136 they are not complacent. 291 00:17:28,136 --> 00:17:31,879 They want to drive Ebola to zero in their countries. 292 00:17:31,879 --> 00:17:35,664 And these people, yes, they're tired, but they are not fatigued. 293 00:17:35,664 --> 00:17:37,869 They have an energy, they have a courage, 294 00:17:37,869 --> 00:17:40,399 they have the strength to get this finished. 295 00:17:40,399 --> 00:17:43,153 What they need, ladies and gentlemen, at this point, 296 00:17:43,153 --> 00:17:46,781 is the unwavering support of the international community, 297 00:17:46,781 --> 00:17:48,189 to stand with them, 298 00:17:48,189 --> 00:17:53,047 to bolster and bring even more support at this time, to get the job finished. 299 00:17:53,047 --> 00:17:58,082 Because finishing Ebola right now means turning the tables on this virus, 300 00:17:58,082 --> 00:17:59,817 and beginning to hunt it. 301 00:17:59,817 --> 00:18:05,124 Remember, this virus, this whole crisis, rather, started with one case, 302 00:18:05,124 --> 00:18:10,353 and is going to finish with one case. But it will only finish if those countries 303 00:18:10,353 --> 00:18:14,207 have got enough epidemiologists, enough health workers, enough logisticians 304 00:18:14,207 --> 00:18:17,594 and enough other people working with them to be able to find every one of 305 00:18:17,594 --> 00:18:22,636 those cases track their contacts and make sure that this disease stops 306 00:18:22,636 --> 00:18:24,220 once and for all. 307 00:18:24,220 --> 00:18:27,557 Ladies and gentleman, Ebola can be beaten. 308 00:18:27,557 --> 00:18:32,245 Now we need you to take this story out to tell it to the people who will listen 309 00:18:32,245 --> 00:18:35,457 and educate them on what it means to beat Ebola, 310 00:18:35,457 --> 00:18:39,189 and more importantly, we need you to advocate with the people 311 00:18:39,189 --> 00:18:42,743 who can help us bring the resources we need to these countries, 312 00:18:42,743 --> 00:18:44,517 to beat this disease. 313 00:18:44,517 --> 00:18:48,699 There are a lot of people out there who will survive and will thrive, 314 00:18:48,699 --> 00:18:52,101 in part, because of what you do to help us beat Ebola. 315 00:18:52,101 --> 00:18:53,587 Thank you. 316 00:18:53,587 --> 00:18:57,474 (Applause)