0:00:05.504,0:00:07.398 When I was a kid, 0:00:07.398,0:00:10.959 the disaster we worried about most [br]was a nuclear war. 0:00:11.819,0:00:15.085 That's why we had a barrel like this[br]down in our basement, 0:00:15.085,0:00:17.656 filled with cans of food and water. 0:00:18.256,0:00:19.901 When the nuclear attack came, 0:00:19.901,0:00:24.637 we were supposed to go downstairs,[br]hunker down, and eat out of that barrel. 0:00:25.877,0:00:29.597 Today the greatest risk [br]of global catastrophe 0:00:29.597,0:00:32.457 doesn't look like this. 0:00:32.457,0:00:35.238 Instead, it looks like this. 0:00:36.438,0:00:41.929 If anything kills over 10 million people[br]in the next few decades, 0:00:41.929,0:00:45.314 it's most likely to be [br]a highly infectious virus 0:00:45.314,0:00:47.792 rather than a war. 0:00:47.792,0:00:51.679 Not missles, but microbes. 0:00:51.679,0:00:53.878 Now part of the reason for this is that[br] 0:00:53.878,0:00:58.081 we've invested a huge amount[br]in nuclear deterrants. 0:00:58.081,0:01:03.179 But we've actually invested very little [br]in a system to stop an epidemic. 0:01:04.129,0:01:07.093 We're not ready for the next epidemic. 0:01:08.023,0:01:09.758 Let's look at Ebola. 0:01:09.758,0:01:13.615 I'm sure all of you read about it [br]in the newspaper, 0:01:13.615,0:01:15.221 lots of tough challenges. 0:01:15.221,0:01:18.876 I followed it carefully [br]through the case analysis tools 0:01:18.876,0:01:23.721 we use to track polio eradication. 0:01:23.721,0:01:25.573 And as you look at what went on, 0:01:25.573,0:01:30.081 the problem wasn't that there was a system[br]that didn't work well enough, 0:01:30.081,0:01:33.649 the problem was that we [br]didn't have a system at all. 0:01:34.589,0:01:39.028 In fact, there's some pretty obvious[br]key missing pieces. 0:01:39.028,0:01:43.940 We didn't have a group of epidemiologists [br]ready to go who would have gone, 0:01:43.940,0:01:47.696 seen what the disease was,[br]seen how far it had spread. 0:01:47.696,0:01:50.452 The case reports came in on paper. 0:01:50.452,0:01:52.808 It was very delayed[br]before they were put online 0:01:52.808,0:01:54.782 and they were extremely inaccurate. 0:01:55.492,0:01:57.858 We didn't have a medical team ready to go. 0:01:57.858,0:02:00.453 We didn't have a way of preparing people. 0:02:00.453,0:02:05.784 Now, Médecins Sans Frontières [br]did a great job orchestrating volunteers. 0:02:05.784,0:02:08.880 But even so, we were far slower[br]than we should have been 0:02:08.880,0:02:12.022 getting the thousands of workers[br]into these countries. 0:02:12.022,0:02:19.007 And a large epidemic would require us[br]to have hundreds of thousands of workers. 0:02:20.752,0:02:25.155 There was no one there [br]to look at treatment approaches. 0:02:25.155,0:02:26.946 No one to look at the diagnostics. 0:02:26.946,0:02:30.243 No one to figure out [br]what tools should be used. 0:02:30.243,0:02:33.723 As an example, we could have [br]taken the blood of survivors, 0:02:33.723,0:02:39.158 processed it, and put that plasma[br]back in people to protect them. 0:02:39.158,0:02:41.764 But that was never tried. 0:02:41.764,0:02:43.520 So there was a lot that was missing. 0:02:43.520,0:02:47.415 And these things [br]are really a global failure. 0:02:48.305,0:02:53.873 The WHO is funded to monitor epidemics,[br]but not to do these things I talked about. 0:02:55.049,0:02:57.842 Now in the movies, it's quiet different. 0:02:57.842,0:03:02.674 There's a group of handsome[br]epidemiologists ready to go, 0:03:02.674,0:03:08.446 they move in, they save the day,[br]but that's just pure Hollywood. 0:03:10.177,0:03:13.887 The failure to prepare [br]could allow the next epidemic 0:03:13.887,0:03:17.695 to be dramatically [br]more devastating than Ebola 0:03:18.735,0:03:23.531 Let's look at the progression [br]of Ebola over this year. 0:03:24.311,0:03:27.149 About 10,000 people died, [br] 0:03:27.149,0:03:31.846 and nearly all were in the three[br]West African countries. 0:03:31.846,0:03:34.433 There's three reasons why[br]it didn't spread more. 0:03:34.433,0:03:38.874 The first is that there was a lot [br]of heroic work by the health workers. 0:03:38.874,0:03:42.136 They found the people and they [br]prevented more infections. 0:03:42.136,0:03:44.621 The second is the nature of the virus. 0:03:44.621,0:03:47.697 Ebola does not spread through the air. 0:03:47.697,0:03:49.810 And by the time you're contagious, 0:03:49.810,0:03:52.550 most people are so sick [br]that they're bedridden. 0:03:54.220,0:03:58.411 Third, it didn't get[br]into many urban areas. 0:03:58.411,0:04:00.115 And that was just luck. 0:04:00.115,0:04:02.355 If it had gotten into a lot [br]more urban areas, 0:04:02.355,0:04:05.877 the case numbers [br]would have been much larger. 0:04:05.877,0:04:09.466 So next time, we might not be so lucky. 0:04:09.466,0:04:14.530 You can have a virus where people [br]feel well enough while they're infectious, 0:04:14.530,0:04:17.842 that they get on a plane[br]or they go to a market. 0:04:17.842,0:04:20.846 The source of the virus could be [br]a natural epidemic like Ebola, 0:04:20.846,0:04:22.826 or it could be bioterrorism. 0:04:22.826,0:04:27.474 So there are things that would literally[br]make things a thousand times worse. 0:04:27.474,0:04:33.475 In fact, let's look at a model[br]of a virus spread through the air, 0:04:33.475,0:04:37.070 like the Spanish Flu back in 1918. 0:04:37.630,0:04:39.560 So here's what would happen: 0:04:39.560,0:04:43.558 it would spread throughout the world[br]very, very quickly. 0:04:43.558,0:04:48.683 And you can see, over 30 million people[br]died from that epidemic. 0:04:48.683,0:04:50.496 So this is a serious problem. 0:04:50.496,0:04:52.257 We should be concerned. 0:04:52.257,0:04:56.692 But in fact, we can build[br]a really good response system. 0:04:56.692,0:05:01.836 We have the benefits of all the science[br]and technology that we talk about here. 0:05:01.836,0:05:02.883 We've got cell phones 0:05:02.883,0:05:06.140 to get information from the public [br]and get information out to them. 0:05:06.140,0:05:10.319 We have satellite maps where we can see[br]where people are and where they're moving. 0:05:10.319,0:05:12.627 We have advances in biology 0:05:12.627,0:05:16.453 that should dramatically change [br]the turnaround time to look at a pathogen 0:05:16.453,0:05:21.322 and be able to make drugs and vaccines[br]that fit for that pathogen. 0:05:21.322,0:05:23.648 So we can have tools, but those tools[br] 0:05:23.648,0:05:27.500 need to be put into an overall[br]global health system. 0:05:27.500,0:05:29.793 And we need preparedness. 0:05:29.793,0:05:32.257 The best lessons, I think, [br]on how to get prepared 0:05:32.257,0:05:34.758 are again, what we do for war. 0:05:34.758,0:05:39.005 For soldiers, we have full-time,[br]waiting to go. 0:05:39.005,0:05:42.316 We have reserves that can scale [br]us up to large numbers. 0:05:42.316,0:05:46.005 NATO has a mobile unit [br]that can deploy very rapidly. 0:05:46.005,0:05:49.455 NATO does a lot of war games [br]to check, are people well trained? 0:05:49.455,0:05:51.883 Do they understand [br]about fuel and logistics 0:05:51.883,0:05:54.241 and the same radio frequencies? 0:05:54.241,0:05:56.779 So they are absolutely ready to go. 0:05:56.779,0:06:01.134 So those are the kinds of things[br]we need to deal with an epidemic. 0:06:01.134,0:06:03.301 What are the key pieces? 0:06:03.301,0:06:08.591 First, we need strong health systems[br]in poor countries. 0:06:08.591,0:06:11.778 That's where mothers [br]can give birth safely, 0:06:11.778,0:06:13.295 kids can get all their vaccines. 0:06:13.295,0:06:17.634 But, also where we'll see [br]the outbreak very early on. 0:06:18.154,0:06:19.935 We need a medical reserve corps: 0:06:19.935,0:06:22.501 lots of people who've got [br]the training and background 0:06:22.501,0:06:25.853 who are ready to go, with the expertise. 0:06:25.853,0:06:30.266 And then we need to pair those[br]medical people with the military. 0:06:30.266,0:06:34.417 taking advantage of the military's ability[br]to move fast, do logistics 0:06:34.417,0:06:36.220 and secure areas. 0:06:36.220,0:06:39.129 We need to do simulations, 0:06:39.129,0:06:43.927 germ games, not war games,[br]so that we see where the holes are. 0:06:43.927,0:06:46.723 The last time a germ game [br]was done in the United States 0:06:46.723,0:06:50.443 was back in 2001, [br]and it didn't go so well. 0:06:50.453,0:06:55.490 So far the score is germs: 1, people: 0. 0:06:55.490,0:07:01.609 Finally, we need lots of advanced R&D[br]in areas of vaccines and diagnostics. 0:07:01.609,0:07:05.246 There are some big breakthroughs, [br]like the Adeno-associated virus, 0:07:05.246,0:07:09.229 that could work very, very quickly. 0:07:09.229,0:07:12.599 Now I don't have an exact budget[br]for what this would cost, 0:07:12.599,0:07:17.095 but I'm quite sure it's very modest[br]compared to the potential harm. 0:07:17.095,0:07:21.740 The World Bank estimates that [br]if we have a worldwide flu epidemic, 0:07:21.740,0:07:25.465 global wealth would go down[br]by over 3 trillion dollars 0:07:25.465,0:07:29.332 and we'd have millions[br]and millions of deaths. 0:07:29.332,0:07:32.317 These investments [br]offer significant benefits 0:07:32.317,0:07:34.518 beyond just being ready for the epidemic. 0:07:34.518,0:07:36.982 The primary healthcare, the R&D, 0:07:36.982,0:07:39.812 those things would reduce [br]global health equity 0:07:39.812,0:07:43.502 and make the world more just [br]as well as more safe. 0:07:43.502,0:07:46.864 So I think this should absolutely[br]be a priority. 0:07:47.514,0:07:48.980 There's no need to panic. 0:07:48.980,0:07:53.469 We don't have to hoard cans of spaghetti[br]or go down into the basement. 0:07:53.469,0:07:57.309 But we need to get going,[br]because time is not on our side. 0:07:57.309,0:08:03.524 In fact, if there's one positive thing[br]that can come out of the Ebola epidemic, 0:08:03.524,0:08:09.330 it's that it can serve as an early [br]warning, a wake-up call, to get ready. 0:08:09.330,0:08:14.978 If we start now, we can be ready [br]for the next epidemic. 0:08:14.978,0:08:16.574 Thank you. 0:08:16.574,0:08:19.868 (Applause)