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These are the user uploaded subtitles that are being translated: 1 00:00:26,160 --> 00:00:28,679 Mother Nature’s stealthiest killer 2 00:00:28,680 --> 00:00:30,719 is the pandemic. 3 00:00:30,720 --> 00:00:34,279 A worldwide spread of infectious disease, 4 00:00:34,280 --> 00:00:38,679 it is a natural disaster for which we have some forewarning, 5 00:00:38,680 --> 00:00:42,679 but this only makes it all the more terrifying. 6 00:00:42,680 --> 00:00:46,199 With an ever more mobile world population, 7 00:00:46,200 --> 00:00:48,599 potentially growing to 11 billion people 8 00:00:48,600 --> 00:00:50,039 by the next century, 9 00:00:50,040 --> 00:00:52,199 public health experts agree 10 00:00:52,200 --> 00:00:54,919 that the possibility of a cataclysmic disease 11 00:00:54,920 --> 00:00:57,279 spreading to all parts of the globe 12 00:00:57,280 --> 00:01:00,839 is more likely now than ever before. 13 00:01:07,680 --> 00:01:09,599 So, what makes pandemics different 14 00:01:09,600 --> 00:01:11,679 from normal infectious diseases 15 00:01:11,680 --> 00:01:14,079 is they’re generally new diseases 16 00:01:14,080 --> 00:01:15,799 into human populations. 17 00:01:15,800 --> 00:01:19,239 They emerge from, typically, wild animals, 18 00:01:19,240 --> 00:01:22,639 through humans coming into contact with those animals. 19 00:01:22,640 --> 00:01:24,719 And something critical needs to happen. 20 00:01:24,720 --> 00:01:26,599 Those viruses, typically viruses, 21 00:01:26,600 --> 00:01:28,239 are not well adapted to humans. 22 00:01:28,240 --> 00:01:29,679 They mutate. 23 00:01:29,680 --> 00:01:31,919 And then when that mutation happens, 24 00:01:31,920 --> 00:01:34,399 they have to start spreading within the human population. 25 00:01:34,400 --> 00:01:36,999 The outbreak needs to get to a certain scale, 26 00:01:37,000 --> 00:01:39,599 and then it really takes off. 27 00:01:39,600 --> 00:01:42,999 What happens when the amount of disease in a community 28 00:01:43,000 --> 00:01:46,759 rises above the expected level for the population? 29 00:01:46,760 --> 00:01:51,759 When there are more cases of infections in hospitals, 30 00:01:51,760 --> 00:01:55,359 the regional authorities and also on the national levels 31 00:01:55,360 --> 00:01:59,199 you have emergency plans to, essentially, 32 00:01:59,200 --> 00:02:00,999 come up with ways to cope 33 00:02:01,000 --> 00:02:03,799 with these increased numbers of people 34 00:02:03,800 --> 00:02:05,719 who turn up at the hospitals. 35 00:02:05,720 --> 00:02:08,039 A pandemic is a whole different thing, 36 00:02:08,040 --> 00:02:11,599 and the main difference is that the virus strain 37 00:02:11,600 --> 00:02:14,159 that hits the population in a pandemic year 38 00:02:14,160 --> 00:02:17,239 is radically different from the virus strains 39 00:02:17,240 --> 00:02:19,319 that had been circulating in the previous years. 40 00:02:19,320 --> 00:02:22,199 The consequence of this is that the population 41 00:02:22,200 --> 00:02:24,119 has no prior immunity 42 00:02:24,120 --> 00:02:27,959 acquired through the previous exposure. 43 00:02:27,960 --> 00:02:30,919 And therefore, the infection rates are just much higher, 44 00:02:30,920 --> 00:02:33,439 and, uh, the number of infected people 45 00:02:33,440 --> 00:02:36,920 that turn up in a hospital is much higher as well. 46 00:02:40,120 --> 00:02:42,799 Among the most devastating pandemics in history 47 00:02:42,800 --> 00:02:45,079 was the Black Death, 48 00:02:45,080 --> 00:02:48,199 which killed at least 75 million people 49 00:02:48,200 --> 00:02:50,359 throughout the 14th century. 50 00:02:50,360 --> 00:02:52,199 By 1400, 51 00:02:52,200 --> 00:02:55,879 it had killed more than 34 million European inhabitants, 52 00:02:55,880 --> 00:02:58,799 or up to 50 percent of the entire population 53 00:02:58,800 --> 00:03:00,559 on the continent. 54 00:03:00,560 --> 00:03:03,439 It would be a mistake to believe that the modern world 55 00:03:03,440 --> 00:03:08,760 isn’t susceptible to a similar kind of widespread outbreak. 56 00:03:10,600 --> 00:03:12,679 With the advent of jet travel, 57 00:03:12,680 --> 00:03:14,799 disease can be spread quite easily 58 00:03:14,800 --> 00:03:17,880 and with terrible rapidity throughout the globe. 59 00:03:19,880 --> 00:03:22,879 But it wasn’t always like this. 60 00:03:22,880 --> 00:03:26,159 At the time of the Agricultural Revolution 61 00:03:26,160 --> 00:03:28,159 roughly 10,000 years ago, 62 00:03:28,160 --> 00:03:31,319 man turned from nomadic life as a hunter-gatherer, 63 00:03:31,320 --> 00:03:33,879 and settled into large communities. 64 00:03:33,880 --> 00:03:36,279 This caused the way that viruses interacted 65 00:03:36,280 --> 00:03:41,079 with the human population to change dramatically. 66 00:03:41,080 --> 00:03:44,359 Agricultural revolution essentially meant 67 00:03:44,360 --> 00:03:48,359 that it became easier to produce food. 68 00:03:48,360 --> 00:03:50,239 And when you can produce more food, 69 00:03:50,240 --> 00:03:53,999 you can have more people living in the same space. 70 00:03:54,000 --> 00:03:59,039 That means the population density goes up, and, um, 71 00:03:59,040 --> 00:04:03,159 this is wonderful for infectious pathogens. 72 00:04:03,160 --> 00:04:05,479 For a virus, it is extremely important 73 00:04:05,480 --> 00:04:10,879 to have a sufficient number of potential victims around. 74 00:04:10,880 --> 00:04:13,639 In a way, the Agricultural Revolution 75 00:04:13,640 --> 00:04:17,839 made it much easier for infections 76 00:04:17,840 --> 00:04:20,799 to go round and round and round and round 77 00:04:20,800 --> 00:04:24,279 in populations in a way that wasn’t possible before. 78 00:04:24,280 --> 00:04:27,359 So it was only when human societies 79 00:04:27,360 --> 00:04:30,119 started having large groups of people, 80 00:04:30,120 --> 00:04:35,039 after we could make our own food through agriculture, 81 00:04:35,040 --> 00:04:36,599 and we started to have towns and cities, 82 00:04:36,600 --> 00:04:38,839 that you got enough people together 83 00:04:38,840 --> 00:04:41,999 to really sustain these sort of epidemic diseases 84 00:04:42,000 --> 00:04:44,519 of the type we’re talking about. 85 00:04:44,520 --> 00:04:45,999 One of the diseases 86 00:04:46,000 --> 00:04:48,039 which has most frequently caused pandemics 87 00:04:48,040 --> 00:04:50,320 to sweep the globe is influenza. 88 00:04:53,280 --> 00:04:56,119 This is because the virus that causes the disease 89 00:04:56,120 --> 00:04:58,199 regularly mutates into a form 90 00:04:58,200 --> 00:05:00,239 for which the general population 91 00:05:00,240 --> 00:05:02,800 has no natural immunity. 92 00:05:03,880 --> 00:05:05,439 Historically, 93 00:05:05,440 --> 00:05:07,999 a new mutated strain of the influenza virus 94 00:05:08,000 --> 00:05:10,639 has appeared three or four times a century, 95 00:05:10,640 --> 00:05:13,839 or roughly every 30 to 40 years. 96 00:05:13,840 --> 00:05:15,719 In the last hundred years, 97 00:05:15,720 --> 00:05:19,679 there have been four deadly flu pandemics. 98 00:05:19,680 --> 00:05:21,839 The Spanish Flu pandemic, 99 00:05:21,840 --> 00:05:25,199 occurring between 1918 and 1919, 100 00:05:25,200 --> 00:05:29,359 may have killed at least 50 million people worldwide. 101 00:05:29,360 --> 00:05:31,239 Astonishingly, 102 00:05:31,240 --> 00:05:34,599 more soldiers died from the 1918 flu 103 00:05:34,600 --> 00:05:38,199 than were killed in the entire war. 104 00:05:38,200 --> 00:05:40,599 Adjusting for population growth, 105 00:05:40,600 --> 00:05:42,359 the number of dead from the Spanish Flu 106 00:05:42,360 --> 00:05:46,280 is equivalent to about 425 million people today. 107 00:05:47,880 --> 00:05:50,279 The most recent influenza pandemic 108 00:05:50,280 --> 00:05:53,279 was the global outbreak known as swine flu, 109 00:05:53,280 --> 00:05:56,760 which occurred between 2009 and 2010. 110 00:05:58,680 --> 00:06:01,479 The viruses that have mutated and caused these pandemics 111 00:06:01,480 --> 00:06:05,799 typically originated from animal influenza viruses. 112 00:06:05,800 --> 00:06:07,559 It is believed that they are bred 113 00:06:07,560 --> 00:06:09,039 as a result of the interaction 114 00:06:09,040 --> 00:06:13,399 between diseases among humans and animals. 115 00:06:13,400 --> 00:06:15,199 In North America and Europe, 116 00:06:15,200 --> 00:06:19,359 seasonal flus occur each autumn and winter. 117 00:06:19,360 --> 00:06:20,879 As the majority of people 118 00:06:20,880 --> 00:06:22,679 will have been exposed to these viruses 119 00:06:22,680 --> 00:06:24,079 in previous seasons, 120 00:06:24,080 --> 00:06:26,440 the symptoms are typically mild. 121 00:06:28,120 --> 00:06:31,199 However, every 20 to 40 years, 122 00:06:31,200 --> 00:06:35,399 the flu virus undergoes a dramatic mutation. 123 00:06:35,400 --> 00:06:38,719 Viruses are parasitic. They’re not alive themselves. 124 00:06:38,720 --> 00:06:40,999 They’re little chunks of genetic material 125 00:06:41,000 --> 00:06:43,079 which modify the cells in our body. 126 00:06:43,080 --> 00:06:45,959 Different viruses target different cells. 127 00:06:45,960 --> 00:06:48,199 So the influenza virus, for instance, 128 00:06:48,200 --> 00:06:50,239 targets certain cells, 129 00:06:50,240 --> 00:06:52,799 basically in the lining of our respiratory system. 130 00:06:52,800 --> 00:06:55,399 And when it enters through our mouth and nose 131 00:06:55,400 --> 00:06:58,919 into our lungs, the virus will attach itself to cells, 132 00:06:58,920 --> 00:07:02,799 enter cells through a complex set of molecular machinery 133 00:07:02,800 --> 00:07:05,479 and then hijack the cellular machinery 134 00:07:05,480 --> 00:07:07,799 to start creating copies of itself. 135 00:07:07,800 --> 00:07:10,399 And those copies will burst out of that cell 136 00:07:10,400 --> 00:07:12,799 into the mucus of our lungs, 137 00:07:12,800 --> 00:07:15,039 and through the process of generating symptoms, 138 00:07:15,040 --> 00:07:18,200 coughing, also gets expelled and move onto the next host. 139 00:07:20,080 --> 00:07:22,599 The flu virus is highly contagious. 140 00:07:22,600 --> 00:07:24,919 each time a sick person coughs, 141 00:07:24,920 --> 00:07:28,359 they expel some 2000 virus-laden droplets. 142 00:07:28,360 --> 00:07:30,599 Sneezing or even talking, 143 00:07:30,600 --> 00:07:33,679 can also generate respiratory droplets. 144 00:07:33,680 --> 00:07:36,839 If you inhale or touch any object 145 00:07:36,840 --> 00:07:38,599 infected with these droplets 146 00:07:38,600 --> 00:07:41,119 and rub your nose or eyes thereafter, 147 00:07:41,120 --> 00:07:44,239 the virus can get through the mucus membranes in your mouth, 148 00:07:44,240 --> 00:07:48,639 nostrils or eyes, and into your airways. 149 00:07:48,640 --> 00:07:51,559 People can be infectious 24 hours 150 00:07:51,560 --> 00:07:53,199 before they even feel ill, 151 00:07:53,200 --> 00:07:56,919 and for five to seven days after they become sick. 152 00:07:56,920 --> 00:08:00,679 Once the flu virus has gotten into your body, 153 00:08:00,680 --> 00:08:02,239 it travels down your airways, 154 00:08:02,240 --> 00:08:05,719 binding to the cells which line the lungs. 155 00:08:05,720 --> 00:08:08,519 When a virus infects us, 156 00:08:08,520 --> 00:08:12,519 there is a whole arsenal of countermeasures 157 00:08:12,520 --> 00:08:16,799 that the organism has provided and is able to provide. 158 00:08:16,800 --> 00:08:20,479 And two very important ones, called T cells 159 00:08:20,480 --> 00:08:22,039 and the other ones, antibodies. 160 00:08:22,040 --> 00:08:25,559 When we vaccinate people that is what we try to induce, 161 00:08:25,560 --> 00:08:30,439 so that you have already T cells and antibodies 162 00:08:30,440 --> 00:08:32,879 that are specific to a virus 163 00:08:32,880 --> 00:08:34,599 that you may encounter later on. 164 00:08:34,600 --> 00:08:37,319 So this is what we want from vaccines. 165 00:08:37,320 --> 00:08:39,799 Most of the symptoms of the flu 166 00:08:39,800 --> 00:08:41,679 are actually caused by what your body does 167 00:08:41,680 --> 00:08:44,119 to try and fight off the virus. 168 00:08:44,120 --> 00:08:46,799 It’s when the body’s cells are under attack 169 00:08:46,800 --> 00:08:49,559 that your immune system kicks in. 170 00:08:49,560 --> 00:08:51,359 Counteroffensive is led 171 00:08:51,360 --> 00:08:53,599 by infection-fighting white blood cells 172 00:08:53,600 --> 00:08:55,799 called T lymphocytes. 173 00:08:55,800 --> 00:08:57,999 T lymphocytes, or T cells, 174 00:08:58,000 --> 00:09:01,359 are often referred to as soldier cells. 175 00:09:01,360 --> 00:09:04,639 In the specific case of the T cells, 176 00:09:04,640 --> 00:09:08,799 one of the important mechanisms to eliminate the virus 177 00:09:08,800 --> 00:09:12,279 is to essentially kill off infected cells. 178 00:09:12,280 --> 00:09:15,359 There are ways to detect that a cell is infected. 179 00:09:15,360 --> 00:09:17,119 And then they go there, 180 00:09:17,120 --> 00:09:19,239 and they have mechanisms to kill off this cell. 181 00:09:19,240 --> 00:09:22,199 This, of course, means there is collateral damage, 182 00:09:22,200 --> 00:09:25,079 because the cell is now not there anymore. 183 00:09:25,080 --> 00:09:28,279 We predominately feel influenza symptoms 184 00:09:28,280 --> 00:09:31,239 in the respiratory system, in the lungs and throat, 185 00:09:31,240 --> 00:09:33,559 because those are the cells the virus targets. 186 00:09:33,560 --> 00:09:38,079 Although the influenza virus only stays in the lungs, 187 00:09:38,080 --> 00:09:41,319 the symptoms of the illness can be felt all over the body. 188 00:09:41,320 --> 00:09:44,719 These include fever, headache, 189 00:09:44,720 --> 00:09:47,119 tiredness and aching muscles, 190 00:09:47,120 --> 00:09:53,039 which is why the flu can make us feel so very ill. 191 00:09:53,040 --> 00:09:55,599 So there are multiple things which cause symptoms 192 00:09:55,600 --> 00:09:57,599 with an infectious disease, 193 00:09:57,600 --> 00:09:59,879 partly it’s affected by the virus itself. 194 00:09:59,880 --> 00:10:01,999 Viruses, as they replicate, 195 00:10:02,000 --> 00:10:04,799 they infect lots of cells and cause damage to the person, 196 00:10:04,800 --> 00:10:08,039 and fever is actually an adaptive response 197 00:10:08,040 --> 00:10:11,399 to help us clear infection because most infections 198 00:10:11,400 --> 00:10:13,799 are tuned to the body’s normal temperature. 199 00:10:13,800 --> 00:10:16,039 By making us hot, the immune system 200 00:10:16,040 --> 00:10:21,479 actually reduces how quickly bacteria and viruses replicate. 201 00:10:21,480 --> 00:10:24,919 The immune system is trying to eliminate the virus, 202 00:10:24,920 --> 00:10:27,359 the infected cells, from the body. 203 00:10:27,360 --> 00:10:29,799 And by doing that, it damages us, 204 00:10:29,800 --> 00:10:31,839 and that can generate inflammation, 205 00:10:31,840 --> 00:10:34,159 can make us feel even sicker, 206 00:10:34,160 --> 00:10:37,639 can, for instance, for flu, cause difficulty in breathing. 207 00:10:37,640 --> 00:10:42,039 According to new estimates published in December of 2017, 208 00:10:42,040 --> 00:10:48,319 between 291,000 and 646,000 people around the world 209 00:10:48,320 --> 00:10:49,839 are killed each year 210 00:10:49,840 --> 00:10:53,119 as a result of catching seasonal influenza. 211 00:10:53,120 --> 00:10:55,399 While seasonal influenza viruses 212 00:10:55,400 --> 00:10:57,079 are detected year-round, 213 00:10:57,080 --> 00:11:01,359 flu viruses peak during the autumn and winter. 214 00:11:01,360 --> 00:11:03,999 It is actually surprisingly unknown 215 00:11:04,000 --> 00:11:07,759 why we have seasonal peaks of influenza. 216 00:11:07,760 --> 00:11:09,439 There are a number of thoughts, 217 00:11:09,440 --> 00:11:11,359 but none of them are completely clear. 218 00:11:11,360 --> 00:11:13,999 One reason appears to be that 219 00:11:14,000 --> 00:11:18,039 the drier and colder conditions make the virus more stable. 220 00:11:18,040 --> 00:11:21,839 Another probably very important factor is that in winter, 221 00:11:21,840 --> 00:11:24,119 we tend to huddle together much more. 222 00:11:24,120 --> 00:11:28,199 And that means, for a virus that has infected one person, 223 00:11:28,200 --> 00:11:30,399 it’s easier to get to the next one. 224 00:11:30,400 --> 00:11:33,879 During an epidemic of seasonal influenza, 225 00:11:33,880 --> 00:11:36,719 most of the terminal cases will be the elderly, 226 00:11:36,720 --> 00:11:39,079 while those with severe complications 227 00:11:39,080 --> 00:11:41,439 usually occur in people with a variety 228 00:11:41,440 --> 00:11:44,639 of pre-existing medical conditions. 229 00:11:44,640 --> 00:11:48,479 By contrast, a flu pandemic can kill younger, 230 00:11:48,480 --> 00:11:50,119 otherwise healthy people, 231 00:11:50,120 --> 00:11:54,159 and cause many more cases of viral pneumonia. 232 00:11:54,160 --> 00:11:56,719 It seems when a completely new virus comes along, 233 00:11:56,720 --> 00:11:58,359 and that’s the situation in a pandemic, 234 00:11:58,360 --> 00:12:00,839 those who have the strongest immune response 235 00:12:00,840 --> 00:12:02,959 may be the ones who suffer most. 236 00:12:02,960 --> 00:12:05,999 And so that’s adolescents, young adults, 237 00:12:06,000 --> 00:12:09,399 and those with the healthiest immune response. 238 00:12:09,400 --> 00:12:12,559 The collateral damage may be what kills you 239 00:12:12,560 --> 00:12:14,159 in that situation. 240 00:12:14,160 --> 00:12:16,919 If you have a really strong immune system, 241 00:12:16,920 --> 00:12:18,799 that gives you a really strong response. 242 00:12:18,800 --> 00:12:21,519 Then your collateral damage may be really massive, 243 00:12:21,520 --> 00:12:24,079 and that’s often what kills you. 244 00:12:24,080 --> 00:12:25,879 In 2009, 245 00:12:25,880 --> 00:12:27,679 the swine flu virus evolved 246 00:12:27,680 --> 00:12:31,279 when a previously combined human-bird-swine virus 247 00:12:31,280 --> 00:12:34,679 underwent a further mutation with a Eurasian pig virus 248 00:12:34,680 --> 00:12:39,199 to form a new H1N1 super virus. 249 00:12:39,200 --> 00:12:42,399 The 2009 swine flu was a classic case 250 00:12:42,400 --> 00:12:45,039 of a very new virus hitting a population 251 00:12:45,040 --> 00:12:48,279 that was immunologically not prepared for it. 252 00:12:48,280 --> 00:12:49,799 So there was no protection 253 00:12:49,800 --> 00:12:52,239 from the viruses that had been around before. 254 00:12:52,240 --> 00:12:55,239 The outbreak first surfaced as an epidemic 255 00:12:55,240 --> 00:12:57,879 in the state of Veracruz, Mexico, 256 00:12:57,880 --> 00:12:59,959 where a 5-year-old boy became ill 257 00:12:59,960 --> 00:13:02,640 with a high fever and typical flu-like symptoms. 258 00:13:04,320 --> 00:13:06,559 It was discovered that he had been infected 259 00:13:06,560 --> 00:13:09,039 with a new kind of variant influenza virus 260 00:13:09,040 --> 00:13:13,799 previously seen only among swine populations. 261 00:13:13,800 --> 00:13:17,079 The boy went down in history as boy zero, 262 00:13:17,080 --> 00:13:20,399 the first person to kick-start the swine flu pandemic. 263 00:13:20,400 --> 00:13:22,399 He was lucky to survive, 264 00:13:22,400 --> 00:13:23,999 though the same cannot be said 265 00:13:24,000 --> 00:13:27,119 for the countless other swine flu victims. 266 00:13:38,080 --> 00:13:39,799 I’m just really scared 267 00:13:39,800 --> 00:13:45,239 because I don’t know, um, if little kids are getting sick 268 00:13:45,240 --> 00:13:50,639 or if there’s a certain medicine for little kids. 269 00:13:50,640 --> 00:13:53,199 In March 2009, 270 00:13:53,200 --> 00:13:56,599 I got a call from my friend and colleague Nancy Cox, 271 00:13:56,600 --> 00:13:58,839 who directs the influenza division 272 00:13:58,840 --> 00:14:01,599 of U.S. Centers for Disease Control in Atlanta, 273 00:14:01,600 --> 00:14:03,119 saying that they had just got 274 00:14:03,120 --> 00:14:05,239 some test results back from California 275 00:14:05,240 --> 00:14:08,679 which indicated that two children who’d been to Mexico 276 00:14:08,680 --> 00:14:12,559 were infected with a previously unknown flu virus. 277 00:14:12,560 --> 00:14:13,799 That became public knowledge, 278 00:14:13,800 --> 00:14:15,879 I think, two or three days later. 279 00:14:15,880 --> 00:14:19,519 We were already gearing up to assist in London, 280 00:14:19,520 --> 00:14:21,479 our colleagues in the United States, 281 00:14:21,480 --> 00:14:23,719 the World Health Organization in London. 282 00:14:23,720 --> 00:14:27,039 And we now know the virus had probably been circulating, 283 00:14:27,040 --> 00:14:29,759 at that point, probably for five or six months, 284 00:14:29,760 --> 00:14:31,799 without really being detected. 285 00:14:31,800 --> 00:14:33,519 But of course, initially, 286 00:14:33,520 --> 00:14:36,479 what people saw were the really quite sick people. 287 00:14:36,480 --> 00:14:38,319 They saw the tip of the iceberg. 288 00:14:38,320 --> 00:14:41,359 People in hospitals in Mexico, and in the United States, 289 00:14:41,360 --> 00:14:42,999 and there was real concern. 290 00:14:43,000 --> 00:14:45,519 We started seeing cases appearing, being detected, 291 00:14:45,520 --> 00:14:50,319 really, across the world in 20, 30 countries within six weeks 292 00:14:50,320 --> 00:14:52,639 of the initial announcement. 293 00:14:52,640 --> 00:14:55,519 And the virus spread very fast. 294 00:14:55,520 --> 00:14:58,839 The first confirmed death from the swine flu virus 295 00:14:58,840 --> 00:15:02,479 occurred at the Texas Children’s Hospital in Houston. 296 00:15:02,480 --> 00:15:04,799 It was a toddler from Mexico City, 297 00:15:04,800 --> 00:15:07,799 who had been visiting family in Brownsville, Texas 298 00:15:07,800 --> 00:15:11,559 before being air-lifted to Houston for treatment. 299 00:15:11,560 --> 00:15:13,799 The World Health Organization’s 300 00:15:13,800 --> 00:15:15,919 Strategic Health Operations Center, 301 00:15:15,920 --> 00:15:19,359 known as the SHOC room, was activated. 302 00:15:19,360 --> 00:15:21,279 For the next few months, 303 00:15:21,280 --> 00:15:22,679 the SHOC room would become the center 304 00:15:22,680 --> 00:15:24,279 of a worldwide battle 305 00:15:24,280 --> 00:15:27,319 against the H1N1 swine flu virus. 306 00:15:27,320 --> 00:15:29,719 On the 24th of April, 307 00:15:29,720 --> 00:15:31,799 the Center for Disease Control 308 00:15:31,800 --> 00:15:33,919 uploaded the complete gene sequences 309 00:15:33,920 --> 00:15:39,040 of the 2009 H1N1 virus to a public influenza database. 310 00:15:40,600 --> 00:15:42,079 Scientists around the world 311 00:15:42,080 --> 00:15:43,879 could now use the sequences 312 00:15:43,880 --> 00:15:46,319 and compare them to samples from their own countries, 313 00:15:46,320 --> 00:15:48,639 in order to more rapidly determine 314 00:15:48,640 --> 00:15:51,159 the spread of the virus. 315 00:15:51,160 --> 00:15:54,439 On Saturday, the 25th of April 2009, 316 00:15:54,440 --> 00:15:57,359 the Director General of the World Health Organization 317 00:15:57,360 --> 00:16:00,239 declared the outbreak a public health emergency 318 00:16:00,240 --> 00:16:02,119 of international concern, 319 00:16:02,120 --> 00:16:04,519 admitting that the swine flu epidemic 320 00:16:04,520 --> 00:16:07,279 could not be successfully contained. 321 00:16:07,280 --> 00:16:12,719 Most cases of severe and fatal infections have been in adults, 322 00:16:12,720 --> 00:16:17,320 in adults between the ages of 30 and 50 years. 323 00:16:19,040 --> 00:16:22,199 This pattern is significantly different 324 00:16:22,200 --> 00:16:26,399 from that seen during epidemics of seasonal influenza. 325 00:16:26,400 --> 00:16:30,279 The pandemic alert level was raised to Phase 4, 326 00:16:30,280 --> 00:16:31,759 indicating that the virus 327 00:16:31,760 --> 00:16:35,079 was spreading abundantly between humans. 328 00:16:35,080 --> 00:16:37,999 On the same day, officials in New York City 329 00:16:38,000 --> 00:16:39,919 reported that they were investigating 330 00:16:39,920 --> 00:16:43,719 a cluster of influenza-like illness in a local high school. 331 00:16:43,720 --> 00:16:45,799 The Center for Disease Control 332 00:16:45,800 --> 00:16:48,279 next confirmed two infections in Kansas, 333 00:16:48,280 --> 00:16:50,999 and another case in Ohio. 334 00:16:51,000 --> 00:16:54,319 In the midst of a bourgeoning public health emergency, 335 00:16:54,320 --> 00:16:57,519 the U.S. began releasing a stockpile of supplies 336 00:16:57,520 --> 00:17:00,399 which could be used to protect and treat the public, 337 00:17:00,400 --> 00:17:03,799 including over 39 million masks and respirators, 338 00:17:03,800 --> 00:17:06,719 gowns, gloves and face shields, 339 00:17:06,720 --> 00:17:10,959 as well as 11 million doses of antiviral drugs. 340 00:17:10,960 --> 00:17:12,879 On the 28th of April, 341 00:17:12,880 --> 00:17:16,119 it was suspected that the virus had further spread to Germany, 342 00:17:16,120 --> 00:17:20,879 with seven more cases being reported from that country. 343 00:17:20,880 --> 00:17:24,119 The following day, the World Health Organization 344 00:17:24,120 --> 00:17:26,879 raised its pandemic alert to Phase 5, 345 00:17:26,880 --> 00:17:29,119 signaling to the global community 346 00:17:29,120 --> 00:17:32,719 that a pandemic was now imminent. 347 00:17:32,720 --> 00:17:35,319 As panic about the virus spread, 348 00:17:35,320 --> 00:17:38,719 draconian measures began to take force around the world. 349 00:17:38,720 --> 00:17:42,439 Egypt began a cull of all domestic pigs in the country. 350 00:17:42,440 --> 00:17:44,919 In Germany’s western state of Saarland, 351 00:17:44,920 --> 00:17:48,279 kissing was banned as a form of personal greeting. 352 00:17:48,280 --> 00:17:50,679 Eventually, more than 70 countries 353 00:17:50,680 --> 00:17:53,279 were reporting cases of infection. 354 00:17:53,280 --> 00:17:58,239 The W.H.O. were forced to raise the threat level to Phase 6, 355 00:17:58,240 --> 00:18:02,559 the highest categorization on the pandemic alert chart. 356 00:18:02,560 --> 00:18:06,039 I have, therefore, decided to raise the level 357 00:18:06,040 --> 00:18:10,679 of influenza pandemic alert from Phase 5 358 00:18:10,680 --> 00:18:12,160 to Phase 6. 359 00:18:13,960 --> 00:18:16,479 The world is now at the start 360 00:18:16,480 --> 00:18:20,999 of the 2009 influenza pandemic. 361 00:18:21,000 --> 00:18:25,319 The world was now facing a global influenza pandemic 362 00:18:25,320 --> 00:18:29,519 for the first time in 41 years. 363 00:18:29,520 --> 00:18:31,719 Throughout June and July, 364 00:18:31,720 --> 00:18:35,199 Europe was experiencing a steep rise in new cases, 365 00:18:35,200 --> 00:18:41,119 with a whopping 11,159 people infected in Britain alone. 366 00:18:41,120 --> 00:18:43,199 Germany followed in second place, 367 00:18:43,200 --> 00:18:47,519 with 2455 confirmed cases. 368 00:18:47,520 --> 00:18:50,479 Throughout the world, immunization was seen 369 00:18:50,480 --> 00:18:51,919 as the only effective means 370 00:18:51,920 --> 00:18:53,919 of stopping the spread of the disease. 371 00:18:53,920 --> 00:18:59,759 However, the new H1N1 vaccine was in short supply. 372 00:18:59,760 --> 00:19:01,879 In America, the CDC recommended 373 00:19:01,880 --> 00:19:04,999 that initial doses be administered to priority groups 374 00:19:05,000 --> 00:19:06,599 such as pregnant women, 375 00:19:06,600 --> 00:19:09,439 people who lived with or cared for babies, 376 00:19:09,440 --> 00:19:11,439 children 6 months to 4 years old, 377 00:19:11,440 --> 00:19:13,999 and health-care workers. 378 00:19:14,000 --> 00:19:16,599 In the U.K., the NHS recommended 379 00:19:16,600 --> 00:19:19,519 that vaccine priority go to people over 6 months old 380 00:19:19,520 --> 00:19:23,239 who were clinically at risk for seasonal flu, pregnant women, 381 00:19:23,240 --> 00:19:27,399 or households of people with compromised immunity. 382 00:19:27,400 --> 00:19:31,399 It was initially proposed that two doses would be required, 383 00:19:31,400 --> 00:19:33,239 but clinical trials demonstrated 384 00:19:33,240 --> 00:19:35,799 that adults were receiving sufficient protection 385 00:19:35,800 --> 00:19:37,799 after only a single injection. 386 00:19:37,800 --> 00:19:40,079 But unfortunately, the vaccine was still 387 00:19:40,080 --> 00:19:42,039 in the process of development, 388 00:19:42,040 --> 00:19:45,079 and would not be ready for use before the end of September. 389 00:19:45,080 --> 00:19:47,119 By that time, 390 00:19:47,120 --> 00:19:50,519 the first official death on German soil was announced. 391 00:19:50,520 --> 00:19:52,919 The country would see further losses of life 392 00:19:52,920 --> 00:19:55,039 throughout October, including the deaths 393 00:19:55,040 --> 00:19:57,799 of a previously healthy 5-year-old boy 394 00:19:57,800 --> 00:20:00,319 and a 48-year-old mother of four. 395 00:20:00,320 --> 00:20:01,679 By November, 396 00:20:01,680 --> 00:20:05,759 a total of 53,968 German nationals 397 00:20:05,760 --> 00:20:07,799 had confirmed infections. 398 00:20:07,800 --> 00:20:12,319 Thirteen people had died as a result. 399 00:20:12,320 --> 00:20:16,559 I think we were lucky in the 2009 pandemic. 400 00:20:16,560 --> 00:20:20,799 The virus wasn’t very pathogenic, 401 00:20:20,800 --> 00:20:25,599 because the rate by which it spread was amazing. 402 00:20:25,600 --> 00:20:29,359 And, um, had it been a virus strain 403 00:20:29,360 --> 00:20:34,079 that gave much more severe flu than the seasonal strains, 404 00:20:34,080 --> 00:20:37,239 then we would have been in deep trouble. 405 00:20:37,240 --> 00:20:39,399 And this was not predictable, that was, if you want, 406 00:20:39,400 --> 00:20:41,159 that was sheer luck. 407 00:20:41,160 --> 00:20:43,599 But despite these tragic figures, 408 00:20:43,600 --> 00:20:45,199 the overall worldwide deaths 409 00:20:45,200 --> 00:20:48,319 from the 2009 to 2010 swine flu outbreak 410 00:20:48,320 --> 00:20:52,279 were fewer than in previous influenza pandemics. 411 00:20:52,280 --> 00:20:56,919 Research shows that as many as 579,000 people 412 00:20:56,920 --> 00:20:59,119 could have perished from the disease, 413 00:20:59,120 --> 00:21:00,519 with figures suggesting 414 00:21:00,520 --> 00:21:02,319 that a disproportionate number of deaths 415 00:21:02,320 --> 00:21:05,719 likely occurred in Southeast Asia and Africa, 416 00:21:05,720 --> 00:21:09,039 where access to prevention and treatment resources 417 00:21:09,040 --> 00:21:10,559 is more limited. 418 00:21:10,560 --> 00:21:12,599 The total number of people infected 419 00:21:12,600 --> 00:21:15,239 was probably about a third of the world’s population 420 00:21:15,240 --> 00:21:17,599 in the first 12 months or so, 421 00:21:17,600 --> 00:21:19,999 but only a minority of those 422 00:21:20,000 --> 00:21:22,039 would have showed any symptoms at all. 423 00:21:22,040 --> 00:21:24,839 Probably only about 10 to 15 percent 424 00:21:24,840 --> 00:21:27,679 of the global population showed symptoms. 425 00:21:27,680 --> 00:21:29,959 Then there were later waves of transmission, 426 00:21:29,960 --> 00:21:31,519 which infected more people 427 00:21:31,520 --> 00:21:34,519 and now, at this point, probably most of them, 428 00:21:34,520 --> 00:21:36,399 90 percent of the world’s population, 429 00:21:36,400 --> 00:21:38,079 have been infected with that virus, 430 00:21:38,080 --> 00:21:40,399 or its descendants. 431 00:21:42,800 --> 00:21:44,439 For the most part, 432 00:21:44,440 --> 00:21:46,719 it seemed that the world had been largely spared 433 00:21:46,720 --> 00:21:49,159 from the major horrors some had predicted. 434 00:21:49,160 --> 00:21:52,319 But it wasn’t long before another highly contagious 435 00:21:52,320 --> 00:21:54,239 and deadly viral disease 436 00:21:54,240 --> 00:21:56,679 threatened to overwhelm the world. 437 00:22:00,080 --> 00:22:03,880 That disease was known as Ebola. 438 00:22:06,400 --> 00:22:09,879 The outbreak of Ebola between 2014 and 2016 439 00:22:09,880 --> 00:22:13,679 was the largest and most complex epidemic of the virus 440 00:22:13,680 --> 00:22:17,799 since it was first discovered in 1976. 441 00:22:17,800 --> 00:22:20,679 It killed a staggering five times more people 442 00:22:20,680 --> 00:22:23,840 than all other known Ebola outbreaks combined. 443 00:22:25,240 --> 00:22:27,079 The outbreak began in Guinea, 444 00:22:27,080 --> 00:22:28,719 before moving across land borders 445 00:22:28,720 --> 00:22:30,759 to Sierra Leone and Liberia, 446 00:22:30,760 --> 00:22:35,639 and eventually found its way to Europe and North America. 447 00:22:35,640 --> 00:22:37,719 There is an incubation period for Ebola 448 00:22:37,720 --> 00:22:40,519 of anywhere from two to 21 days 449 00:22:40,520 --> 00:22:42,519 before the victim will begin displaying 450 00:22:42,520 --> 00:22:44,719 visible symptoms of the disease. 451 00:22:44,720 --> 00:22:48,119 For this reason, the World Health Organization 452 00:22:48,120 --> 00:22:50,839 will only declare the conclusion of an outbreak 453 00:22:50,840 --> 00:22:52,799 once 42 days have elapsed, 454 00:22:52,800 --> 00:22:55,679 the equivalent of two incubation periods 455 00:22:55,680 --> 00:22:58,519 with no new infections being reported. 456 00:22:58,520 --> 00:23:00,199 On average, 457 00:23:00,200 --> 00:23:05,039 roughly half of patients who catch the disease will die. 458 00:23:05,040 --> 00:23:07,919 Historically, there have been outbreaks 459 00:23:07,920 --> 00:23:12,119 where the mortality rate was as high as 90 percent. 460 00:23:12,120 --> 00:23:15,359 It’s a horrible infection to have, frankly. 461 00:23:15,360 --> 00:23:17,879 It causes a widely disseminated infection. 462 00:23:17,880 --> 00:23:21,119 The virus is in almost every body tissue. 463 00:23:21,120 --> 00:23:25,879 Early initial symptoms are mostly gastrointestinal: 464 00:23:25,880 --> 00:23:28,119 profuse diarrhea, vomiting, 465 00:23:28,120 --> 00:23:30,879 with very high-end levels of virus shared. 466 00:23:30,880 --> 00:23:33,479 It can also then cause a hemorrhagic fever, 467 00:23:33,480 --> 00:23:36,999 where you bleed from eyes and other orifices. 468 00:23:37,000 --> 00:23:39,439 It’s got a very high fatality rate. 469 00:23:39,440 --> 00:23:42,319 We think about 60 to 70 percent, 470 00:23:42,320 --> 00:23:43,839 typically, of people die, 471 00:23:43,840 --> 00:23:45,879 usually from multiple organ failure. 472 00:23:45,880 --> 00:23:48,719 It’s one of the most lethal viruses we know. 473 00:23:48,720 --> 00:23:53,039 It spreads from person to person through bodily fluids. 474 00:23:53,040 --> 00:23:58,119 Typically, people caring for a sick relative will get infected 475 00:23:58,120 --> 00:24:02,079 because the fluids are very highly infectious. 476 00:24:02,080 --> 00:24:04,519 Early medical care, 477 00:24:04,520 --> 00:24:07,679 combined with rehydration and drugs to relieve the symptoms, 478 00:24:07,680 --> 00:24:11,439 can decidedly improve one’s chances of survival. 479 00:24:11,440 --> 00:24:14,479 But as yet, there is no licensed treatment 480 00:24:14,480 --> 00:24:17,159 proven to neutralize the virus, 481 00:24:17,160 --> 00:24:20,039 although a range of blood, immunological 482 00:24:20,040 --> 00:24:24,759 and drug therapies are currently being developed. 483 00:24:24,760 --> 00:24:27,799 The Ebola virus will be spread between humans 484 00:24:27,800 --> 00:24:30,239 either through the blood or bodily fluids 485 00:24:30,240 --> 00:24:31,879 of an infected person. 486 00:24:31,880 --> 00:24:35,719 Breast milk, saliva, semen, feces 487 00:24:35,720 --> 00:24:38,559 and tears are all highly infectious. 488 00:24:40,640 --> 00:24:43,039 Studies have shown that traces of Ebola 489 00:24:43,040 --> 00:24:45,039 may even remain in a man’s semen 490 00:24:45,040 --> 00:24:46,599 for more than a year 491 00:24:46,600 --> 00:24:49,119 after he has recovered from the disease. 492 00:24:49,120 --> 00:24:51,319 The virus can also survive 493 00:24:51,320 --> 00:24:53,759 for several days outside of the body, 494 00:24:53,760 --> 00:24:56,959 so cleaning up body fluids or touching the soiled clothing 495 00:24:56,960 --> 00:25:00,479 of an infected person can also lead to infection. 496 00:25:00,480 --> 00:25:02,919 According to the W.H.O., 497 00:25:02,920 --> 00:25:07,199 health care workers are between 21 and 32 times more likely 498 00:25:07,200 --> 00:25:08,919 to be infected with Ebola 499 00:25:08,920 --> 00:25:12,199 than people in the general adult population. 500 00:25:12,200 --> 00:25:14,879 They must wear a face shield, 501 00:25:14,880 --> 00:25:16,879 or a medical mask and goggles, 502 00:25:16,880 --> 00:25:19,479 if they are to be within one meter of a patient. 503 00:25:19,480 --> 00:25:21,679 It is also necessary that workers wear 504 00:25:21,680 --> 00:25:24,839 a long-sleeved gown and gloves. 505 00:25:24,840 --> 00:25:27,119 Fifteen of our health workers 506 00:25:27,120 --> 00:25:30,679 from this case management center have passed away. 507 00:25:30,680 --> 00:25:32,959 When somebody dies of Ebola, 508 00:25:32,960 --> 00:25:35,759 that time the virus is very virulent. 509 00:25:35,760 --> 00:25:39,719 And in that case, we have to handle that corpse very well, 510 00:25:39,720 --> 00:25:41,879 in order not for us to be infected. 511 00:25:41,880 --> 00:25:44,519 Ebola infections are so deadly 512 00:25:44,520 --> 00:25:48,319 because the virus infects the cells 513 00:25:48,320 --> 00:25:49,919 that line your blood vessels 514 00:25:49,920 --> 00:25:52,919 and this leads to massive leakage, 515 00:25:52,920 --> 00:25:55,599 and essentially inner bleeding. 516 00:25:55,600 --> 00:25:57,799 So it’s a very, very virulent virus 517 00:25:57,800 --> 00:26:01,519 that kills you just quite rapidly. 518 00:26:01,520 --> 00:26:03,319 Ebola virus is a virus 519 00:26:03,320 --> 00:26:05,319 that is not constantly present in the population. 520 00:26:05,320 --> 00:26:09,639 So that means there is no immunity in the population 521 00:26:09,640 --> 00:26:12,399 due to having seen the virus before. 522 00:26:12,400 --> 00:26:17,519 If the virus manages to be transmitted 523 00:26:17,520 --> 00:26:20,559 from a patient or a victim to a new person, 524 00:26:20,560 --> 00:26:23,479 then it can just very explosively expand 525 00:26:23,480 --> 00:26:27,239 in the new person, and, um, be deadly. 526 00:26:27,240 --> 00:26:30,639 The standard methods of treatment for Ebola patients 527 00:26:30,640 --> 00:26:32,999 have remained the same for many years. 528 00:26:33,000 --> 00:26:36,719 It consists of oral or intravenous rehydration 529 00:26:36,720 --> 00:26:38,599 and electrolyte replacement, 530 00:26:38,600 --> 00:26:41,439 coupled with drugs to decrease vomiting and diarrhea, 531 00:26:41,440 --> 00:26:45,239 as well as to mitigate the symptoms of pain and fever. 532 00:26:45,240 --> 00:26:48,239 Patients who are also at risk of contracting malaria 533 00:26:48,240 --> 00:26:51,679 are given anti-malarial medication and antibiotics 534 00:26:51,680 --> 00:26:55,079 so they don’t have to fight both diseases at once. 535 00:26:55,080 --> 00:26:58,119 There are drugs being developed to treat Ebola 536 00:26:58,120 --> 00:27:01,519 that stop the virus from replicating. 537 00:27:01,520 --> 00:27:05,919 Another treatment being studied is the use of immunotherapy 538 00:27:05,920 --> 00:27:09,559 by giving transfusions of blood from survivors. 539 00:27:09,560 --> 00:27:11,399 Further potential treatment 540 00:27:11,400 --> 00:27:13,760 could be the mechanical filtering of patients’ blood. 541 00:27:16,840 --> 00:27:20,519 All the infections occurring in the West African Ebola epidemic 542 00:27:20,520 --> 00:27:22,919 in 2014 and 2015 543 00:27:22,920 --> 00:27:25,799 can be traced back to an 18-month-old boy 544 00:27:25,800 --> 00:27:30,279 from the village of Meliandou, in the southern part of Guinea. 545 00:27:30,280 --> 00:27:32,119 According to the American Center 546 00:27:32,120 --> 00:27:33,879 for Disease Control and Prevention, 547 00:27:33,880 --> 00:27:37,279 the boy is believed to have been infected by a bat. 548 00:27:37,280 --> 00:27:40,439 He died on the 28th of December 2013, 549 00:27:40,440 --> 00:27:43,879 followed throughout the next month by his mother, 550 00:27:43,880 --> 00:27:47,040 sister and eventually, his grandmother. 551 00:27:51,560 --> 00:27:53,919 On the 1st of February 2014, 552 00:27:53,920 --> 00:27:57,079 a member of the deceased child’s extended family 553 00:27:57,080 --> 00:27:59,919 traveled to Conakry, the capital of Guinea. 554 00:27:59,920 --> 00:28:02,959 That individual died four days later, 555 00:28:02,960 --> 00:28:06,359 having by then infected many other people. 556 00:28:06,360 --> 00:28:08,719 The World Health Organization 557 00:28:08,720 --> 00:28:12,199 opened an investigation on the 13th of March 558 00:28:12,200 --> 00:28:15,039 after the Guinea Ministry of Health issued an alert 559 00:28:15,040 --> 00:28:17,119 about the unidentified infections, 560 00:28:17,120 --> 00:28:19,599 which they suspected was Lassa fever, 561 00:28:19,600 --> 00:28:21,519 very common to the region. 562 00:28:21,520 --> 00:28:23,519 Samples of the pathogen 563 00:28:23,520 --> 00:28:27,599 were immediately sent to the Pasteur Institute in France. 564 00:28:27,600 --> 00:28:29,919 Within a day, they confirmed that the patients 565 00:28:29,920 --> 00:28:31,719 from which samples had been taken 566 00:28:31,720 --> 00:28:33,959 were infected not by Lassa fever 567 00:28:33,960 --> 00:28:36,119 but by Ebola. 568 00:28:36,120 --> 00:28:38,719 The W.H.O. officially announced 569 00:28:38,720 --> 00:28:41,039 that there was an outbreak of Ebola. 570 00:28:41,040 --> 00:28:44,519 At that stage, there were already 49 confirmed cases 571 00:28:44,520 --> 00:28:46,439 and 29 deaths. 572 00:28:46,440 --> 00:28:48,959 It’s just amazing how this disease 573 00:28:48,960 --> 00:28:52,679 can spread so widely and so silently 574 00:28:52,680 --> 00:28:56,839 and then have such devastating effects in the community. 575 00:28:56,840 --> 00:28:58,759 So it is very important 576 00:28:58,760 --> 00:29:01,199 to not give false hope to anybody 577 00:29:01,200 --> 00:29:03,679 that Ebola can be treated now. 578 00:29:03,680 --> 00:29:05,679 This is absolutely not the case. 579 00:29:05,680 --> 00:29:07,319 What we are relying on now 580 00:29:07,320 --> 00:29:08,679 is proper implementation 581 00:29:08,680 --> 00:29:10,719 of infection prevention and control, 582 00:29:10,720 --> 00:29:16,959 control tracing and quarantine of people who have the disease, 583 00:29:16,960 --> 00:29:19,519 quarantining of contact to make sure 584 00:29:19,520 --> 00:29:22,559 that they would be under proper treatment 585 00:29:22,560 --> 00:29:24,719 if they, indeed, have the disease. 586 00:29:24,720 --> 00:29:28,159 Between early June and the middle of September, 587 00:29:28,160 --> 00:29:30,639 the epidemic grew exponentially. 588 00:29:30,640 --> 00:29:35,039 National case numbers were doubling every 16 to 30 days. 589 00:29:35,040 --> 00:29:39,159 The United Nations Security Council issued a statement 590 00:29:39,160 --> 00:29:41,559 stating that they were extremely concerned 591 00:29:41,560 --> 00:29:43,199 about the Ebola epidemic. 592 00:29:43,200 --> 00:29:44,919 They sought immediate help 593 00:29:44,920 --> 00:29:46,839 from the international community 594 00:29:46,840 --> 00:29:50,119 to stop any further spread of the virus. 595 00:29:50,120 --> 00:29:51,759 On the 23rd of July, 596 00:29:51,760 --> 00:29:54,359 the World Health Organization confirmed 597 00:29:54,360 --> 00:29:57,960 that there were now more than 800 Ebola cases in the region. 598 00:30:01,000 --> 00:30:03,519 The Peace Corps took the painful decision 599 00:30:03,520 --> 00:30:06,359 to evacuate its volunteers from Liberia, 600 00:30:06,360 --> 00:30:08,479 Sierra Leone and Guinea, 601 00:30:08,480 --> 00:30:11,599 because of concerns for their health and safety. 602 00:30:11,600 --> 00:30:14,239 The Center for Disease Control in America 603 00:30:14,240 --> 00:30:17,679 warned U.S. residents to avoid all non-essential travel 604 00:30:17,680 --> 00:30:19,759 to those countries. 605 00:30:19,760 --> 00:30:21,559 By the middle of September, 606 00:30:21,560 --> 00:30:24,119 there were 5000 reported cases of Ebola 607 00:30:24,120 --> 00:30:28,039 and almost 2500 deaths across the globe. 608 00:30:28,040 --> 00:30:31,679 At the special request of the World Health Organization, 609 00:30:31,680 --> 00:30:34,439 Germany began admitting patients into the country 610 00:30:34,440 --> 00:30:37,879 who required immediate treatment. 611 00:30:37,880 --> 00:30:41,399 German doctors admitted a foreign patient 612 00:30:41,400 --> 00:30:44,639 into a brand-new tropical medicine unit in Hamburg, 613 00:30:44,640 --> 00:30:46,559 which specialized in the treatment 614 00:30:46,560 --> 00:30:49,239 of contagious diseases. 615 00:30:49,240 --> 00:30:52,239 Staff members of the facility assured the press 616 00:30:52,240 --> 00:30:53,879 that the critically ill patient 617 00:30:53,880 --> 00:30:56,999 posed no significant risk of spreading infection. 618 00:30:57,000 --> 00:31:00,359 He would be treated in a special isolation ward 619 00:31:00,360 --> 00:31:02,559 behind three separate air locks. 620 00:31:02,560 --> 00:31:06,599 Within the isolation unit, no liquids, gases, 621 00:31:06,600 --> 00:31:08,079 or particles in the air 622 00:31:08,080 --> 00:31:10,959 could possibly reach the outside world. 623 00:31:10,960 --> 00:31:14,719 This extraordinary safety measure was put in place, 624 00:31:14,720 --> 00:31:16,639 despite how unlikely it is for Ebola 625 00:31:16,640 --> 00:31:18,959 to spread through the air. 626 00:31:18,960 --> 00:31:21,919 The W.H.O. said that the patient worked 627 00:31:21,920 --> 00:31:25,439 in an Ebola testing laboratory in Sierra Leone. 628 00:31:25,440 --> 00:31:27,199 He arrived at Hamburg airport 629 00:31:27,200 --> 00:31:30,279 on the 27th of August in a specialized plane, 630 00:31:30,280 --> 00:31:32,559 which had been modified to transport patients 631 00:31:32,560 --> 00:31:34,439 requiring isolation. 632 00:31:34,440 --> 00:31:36,719 From there, he was transferred 633 00:31:36,720 --> 00:31:38,559 to a special isolation ambulance, 634 00:31:38,560 --> 00:31:42,079 accompanied by a convoy of police cars on its journey 635 00:31:42,080 --> 00:31:45,559 to the University Hospital Hamburg-Eppendorf. 636 00:31:47,600 --> 00:31:49,359 When news of the patient’s arrival 637 00:31:49,360 --> 00:31:50,759 was released to the public, 638 00:31:50,760 --> 00:31:52,639 reactions were mixed. 639 00:31:52,640 --> 00:31:54,559 Some expressed concern 640 00:31:54,560 --> 00:31:57,639 that allowing such a contagious person into the city 641 00:31:57,640 --> 00:32:00,359 could pose a genuine public health risk. 642 00:32:00,360 --> 00:32:03,919 Others felt that the need to help this desperate person 643 00:32:03,920 --> 00:32:06,519 far outweighed any potential for danger. 644 00:32:06,520 --> 00:32:09,119 They also contended that the treatment 645 00:32:09,120 --> 00:32:13,319 could aid and advance medical research. 646 00:32:13,320 --> 00:32:15,919 On the 3rd of October, 647 00:32:15,920 --> 00:32:19,079 Germany accepted yet another Ebola victim, 648 00:32:19,080 --> 00:32:22,679 this time to a hospital in Frankfurt-am-Main. 649 00:32:22,680 --> 00:32:26,199 They were flown in on a medical flight from West Africa 650 00:32:26,200 --> 00:32:28,439 and transferred to the isolation unit 651 00:32:28,440 --> 00:32:30,439 at Frankfurt University Hospital, 652 00:32:30,440 --> 00:32:32,799 all under deep cover. 653 00:32:32,800 --> 00:32:35,079 The patient was a Ugandan doctor 654 00:32:35,080 --> 00:32:38,279 who had been working with Ebola patients in Sierra Leone 655 00:32:38,280 --> 00:32:40,919 before falling ill with the virus himself. 656 00:32:40,920 --> 00:32:42,439 Though two of his patients 657 00:32:42,440 --> 00:32:44,519 responded positively to treatment, 658 00:32:44,520 --> 00:32:47,520 both he and a third patient had not been so lucky. 659 00:32:49,960 --> 00:32:53,999 This third patient had been a U.N. employee from Liberia 660 00:32:54,000 --> 00:32:56,719 who landed in the northern German town of Leipzig, 661 00:32:56,720 --> 00:32:58,959 200 kilometers southeast of Berlin, 662 00:32:58,960 --> 00:33:01,239 in the early hours of the morning. 663 00:33:01,240 --> 00:33:03,319 There, they were met by a medical team 664 00:33:03,320 --> 00:33:05,039 wearing biohazard suits 665 00:33:05,040 --> 00:33:08,039 and taken immediately to St. George hospital in Leipzig, 666 00:33:08,040 --> 00:33:11,039 which had a tropical disease clinic with six rooms 667 00:33:11,040 --> 00:33:12,519 where the patient could be treated 668 00:33:12,520 --> 00:33:15,439 under the strictest quarantine. 669 00:33:15,440 --> 00:33:17,999 Sadly, despite their best efforts, 670 00:33:18,000 --> 00:33:20,319 the patient succumbed to the disease. 671 00:33:20,320 --> 00:33:23,720 The first individual to die of Ebola on German soil. 672 00:33:25,080 --> 00:33:26,559 On the 24th of November, 673 00:33:26,560 --> 00:33:28,119 it was also confirmed 674 00:33:28,120 --> 00:33:30,119 that an Italian doctor who had been working 675 00:33:30,120 --> 00:33:33,639 for a medical charity treating Ebola victims in Sierra Leone 676 00:33:33,640 --> 00:33:36,319 had, himself, become infected with the disease. 677 00:33:36,320 --> 00:33:38,519 He was flown back to Rome 678 00:33:38,520 --> 00:33:41,599 where he was successfully treated. 679 00:33:43,720 --> 00:33:46,319 On the 29th of December 2014, 680 00:33:46,320 --> 00:33:49,759 the United Kingdom was also drawn into the epidemic 681 00:33:49,760 --> 00:33:53,719 when the first case of Ebola was confirmed in the nation. 682 00:33:53,720 --> 00:33:56,439 The victim was a female nurse 683 00:33:56,440 --> 00:33:58,239 who had returned from voluntary work 684 00:33:58,240 --> 00:34:03,119 at an Ebola treatment center in Sierra Leone. 685 00:34:03,120 --> 00:34:05,119 This case was concerning, 686 00:34:05,120 --> 00:34:07,079 because her journey from Freetown 687 00:34:07,080 --> 00:34:09,719 had taken her to several major global cities. 688 00:34:09,720 --> 00:34:12,599 First, to Casablanca in Morocco. 689 00:34:12,600 --> 00:34:14,519 Next to London, in England. 690 00:34:14,520 --> 00:34:16,719 And finally, to Glasgow, in Scotland, 691 00:34:16,720 --> 00:34:19,359 her ultimate destination. 692 00:34:19,360 --> 00:34:21,559 After suffering from fever and headache, 693 00:34:21,560 --> 00:34:23,639 she was admitted to a specialist unit 694 00:34:23,640 --> 00:34:25,199 for infectious diseases 695 00:34:25,200 --> 00:34:27,479 at the Gartnavel Hospital in Glasgow, 696 00:34:27,480 --> 00:34:30,559 where she was kept in strict isolation. 697 00:34:30,560 --> 00:34:34,839 The patient was displaying no symptoms of the kind 698 00:34:34,840 --> 00:34:37,159 that would lead to onward transmission 699 00:34:37,160 --> 00:34:39,559 and put other people at risk 700 00:34:39,560 --> 00:34:43,760 before she had reported, this morning, as being unwell. 701 00:34:45,560 --> 00:34:47,319 A day later, she was transferred 702 00:34:47,320 --> 00:34:49,479 for specialist treatment at the Royal Free hospital, 703 00:34:49,480 --> 00:34:52,519 where the facilities, staff and systems 704 00:34:52,520 --> 00:34:56,159 were in place to ensure the safest care. 705 00:34:56,160 --> 00:34:57,919 Public health authorities 706 00:34:57,920 --> 00:34:59,999 began to investigate possible contacts 707 00:35:00,000 --> 00:35:03,399 that the nurse may have had with other people in Britain. 708 00:35:03,400 --> 00:35:04,959 It’s important to stress 709 00:35:04,960 --> 00:35:07,919 that the risk to the general public remains very low, 710 00:35:07,920 --> 00:35:10,279 but we are contacting the passengers 711 00:35:10,280 --> 00:35:12,039 who were on the flight with her. 712 00:35:12,040 --> 00:35:16,119 There’s a special dedicated help line for them to call, 713 00:35:16,120 --> 00:35:19,079 so that if they have any concerns at all, 714 00:35:19,080 --> 00:35:21,039 they’re able to communicate easily. 715 00:35:21,040 --> 00:35:22,839 As well as liaising 716 00:35:22,840 --> 00:35:24,999 with the World Health Authority in Morocco, 717 00:35:25,000 --> 00:35:26,639 where the victim had changed flights 718 00:35:26,640 --> 00:35:28,719 on her journey back to the U.K. 719 00:35:28,720 --> 00:35:30,880 She has since made a full recovery. 720 00:35:33,560 --> 00:35:35,519 As of April 2015, 721 00:35:35,520 --> 00:35:40,039 there were 176 organizations in Sierra Leone, 722 00:35:40,040 --> 00:35:41,559 Guinea and Liberia, 723 00:35:41,560 --> 00:35:44,999 all conducting emergency programs. 724 00:35:45,000 --> 00:35:47,639 Liberia was initially declared Ebola-free 725 00:35:47,640 --> 00:35:49,399 by the World Health Organization 726 00:35:49,400 --> 00:35:51,399 on the 9th of May 2015, 727 00:35:51,400 --> 00:35:54,360 after more than 4000 people had died. 728 00:35:55,920 --> 00:35:57,760 But Ebola was not yet beaten. 729 00:35:59,160 --> 00:36:01,479 On the 12th of May 2015, 730 00:36:01,480 --> 00:36:03,039 an Italian healthcare worker 731 00:36:03,040 --> 00:36:05,039 who had been treating Ebola patients 732 00:36:05,040 --> 00:36:07,359 in Sierra Leone for nearly three months, 733 00:36:07,360 --> 00:36:11,959 fell ill three days after returning back to Italy. 734 00:36:11,960 --> 00:36:14,879 He was taken to the infectious diseases ward 735 00:36:14,880 --> 00:36:17,359 at the hospital of Sassari in Sardinia, 736 00:36:17,360 --> 00:36:20,119 where he tested positive for Ebola. 737 00:36:20,120 --> 00:36:23,439 Several small outbreaks reoccurred in Liberia, 738 00:36:23,440 --> 00:36:26,920 with a cluster of six new cases confirmed in June 2015. 739 00:36:30,360 --> 00:36:32,559 On the 3rd of September 2015, 740 00:36:32,560 --> 00:36:34,999 Liberia was again declared Ebola-free 741 00:36:35,000 --> 00:36:39,039 before the emergence of an additional three cases. 742 00:36:39,040 --> 00:36:43,519 I came on the beach today to celebrate Ebola 743 00:36:43,520 --> 00:36:45,719 because Ebola has left Liberia, 744 00:36:45,720 --> 00:36:48,239 and we are going back to our normal activities. 745 00:36:48,240 --> 00:36:52,399 I just came on the beach to enjoy myself because I’m alive. 746 00:36:52,400 --> 00:36:54,079 Ebola did not take my life, 747 00:36:54,080 --> 00:36:56,519 and none of my family alive were taken away by Ebola. 748 00:36:56,520 --> 00:36:58,759 So I came on the beach today to enjoy myself. 749 00:36:58,760 --> 00:37:00,679 Guinea was declared Ebola-free 750 00:37:00,680 --> 00:37:02,399 on the 29th of December, 751 00:37:02,400 --> 00:37:06,639 with Liberia to follow on the 14th of January 2016. 752 00:37:06,640 --> 00:37:09,239 This was now its third official declaration 753 00:37:09,240 --> 00:37:11,159 of complete inoculation, 754 00:37:11,160 --> 00:37:14,679 only this time, things stayed that way. 755 00:37:14,680 --> 00:37:17,559 People should not remain complacent. 756 00:37:17,560 --> 00:37:19,559 It was the same complacence 757 00:37:19,560 --> 00:37:23,759 that led to the second round of the virus emergence. 758 00:37:23,760 --> 00:37:27,839 And people should continue to observe the practices 759 00:37:27,840 --> 00:37:31,279 to ensure that they can remain safe. 760 00:37:31,280 --> 00:37:33,959 Once Sierra Leone was given the all clear, 761 00:37:33,960 --> 00:37:36,079 all three West African countries 762 00:37:36,080 --> 00:37:39,359 had officially become Ebola-free. 763 00:37:39,360 --> 00:37:41,439 The World Health Organization 764 00:37:41,440 --> 00:37:43,199 lifted the Public Health Emergency 765 00:37:43,200 --> 00:37:46,479 of International Concern related to the epidemic. 766 00:37:46,480 --> 00:37:51,239 The W.H.O. reported that there had been around 28,000 cases, 767 00:37:51,240 --> 00:37:54,999 with more than 11,000 deaths due to the epidemic. 768 00:37:55,000 --> 00:37:59,119 But the true human cost of Ebola was much higher. 769 00:37:59,120 --> 00:38:03,479 It has been estimated that over than 30,000 children 770 00:38:03,480 --> 00:38:05,959 were left orphaned by the disease. 771 00:38:08,160 --> 00:38:10,519 According to Médecins Sans Frontiers, 772 00:38:10,520 --> 00:38:12,759 also known as Doctors Without Borders, 773 00:38:12,760 --> 00:38:15,599 it is impossible to be sure how many people died 774 00:38:15,600 --> 00:38:18,079 as a result of the Ebola epidemic. 775 00:38:18,080 --> 00:38:19,719 In addition to those deaths 776 00:38:19,720 --> 00:38:21,959 resulting directly from the Ebola virus, 777 00:38:21,960 --> 00:38:23,959 there followed a dramatic increase 778 00:38:23,960 --> 00:38:25,639 in latter mortality rates, 779 00:38:25,640 --> 00:38:28,679 due to an increasing lack of basic health care. 780 00:38:28,680 --> 00:38:32,999 This can be demonstrated by the fact that as of March 2015, 781 00:38:33,000 --> 00:38:36,919 over a million fewer children were vaccinated against measles 782 00:38:36,920 --> 00:38:39,079 than prior to when the epidemic began, 783 00:38:39,080 --> 00:38:42,200 which undoubtedly led to more deaths from that disease. 784 00:38:45,040 --> 00:38:47,279 There was also an increase in the number of people 785 00:38:47,280 --> 00:38:48,999 who lacked food security 786 00:38:49,000 --> 00:38:52,399 as a result of the 2014 Ebola epidemic. 787 00:38:52,400 --> 00:38:55,920 This was estimated to be in the hundreds of thousands. 788 00:39:27,160 --> 00:39:29,359 The health of pregnant women in West Africa 789 00:39:29,360 --> 00:39:33,359 was also drastically impacted by the Ebola epidemic. 790 00:39:33,360 --> 00:39:35,999 Pregnancy appeared to make women more vulnerable 791 00:39:36,000 --> 00:39:38,079 to the effects of the Ebola infection. 792 00:39:38,080 --> 00:39:41,599 It particularly increased their risk of hemorrhage. 793 00:39:41,600 --> 00:39:44,199 There was also evidence suggesting that the virus 794 00:39:44,200 --> 00:39:46,239 was able to cross from the placenta 795 00:39:46,240 --> 00:39:50,519 into both the amniotic fluid and the developing fetus. 796 00:39:50,520 --> 00:39:54,879 Tragically, the pregnancies of women infected with Ebola 797 00:39:54,880 --> 00:39:58,919 all ended through either a spontaneous miscarriage, 798 00:39:58,920 --> 00:40:03,360 stillbirth, or death of the newborn baby within a few days. 799 00:40:07,880 --> 00:40:10,999 On top of the dangers Ebola presented to the mother, 800 00:40:11,000 --> 00:40:13,879 healthcare workers assisting the delivery of babies 801 00:40:13,880 --> 00:40:16,280 were at extreme risk of infection. 802 00:40:18,960 --> 00:40:21,159 The fear of health workers treating women 803 00:40:21,160 --> 00:40:23,759 from areas known to be high in Ebola cases 804 00:40:23,760 --> 00:40:27,879 led to a lack of maternal care for pregnant women. 805 00:40:32,840 --> 00:40:35,399 The United Nations Population Fund 806 00:40:35,400 --> 00:40:37,839 estimated that the Ebola epidemic 807 00:40:37,840 --> 00:40:40,279 could have either directly or indirectly 808 00:40:40,280 --> 00:40:44,799 resulted in as many as 120,000 maternal deaths 809 00:40:44,800 --> 00:40:47,519 by the end of October 2015. 810 00:40:47,520 --> 00:40:51,799 The psychological well-being of the survivors of Ebola, 811 00:40:51,800 --> 00:40:53,919 as well as the families of patients 812 00:40:53,920 --> 00:40:58,439 and victims of the disease became a major concern. 813 00:40:58,440 --> 00:41:00,639 I’ve met some people who have had Ebola, 814 00:41:00,640 --> 00:41:03,279 and they described it in first-person terms to me. 815 00:41:03,280 --> 00:41:04,839 And it’s not-- 816 00:41:04,840 --> 00:41:07,600 You wouldn’t wish it on your worst enemy. 817 00:41:09,320 --> 00:41:11,159 In July 2014, 818 00:41:11,160 --> 00:41:14,719 the first case of Ebola was diagnosed outside of Africa. 819 00:41:14,720 --> 00:41:18,479 This meant that the outbreak could no longer just be viewed 820 00:41:18,480 --> 00:41:20,319 as a humanitarian crisis. 821 00:41:20,320 --> 00:41:22,919 It had become a palpable security threat 822 00:41:22,920 --> 00:41:25,679 to countries all across the globe. 823 00:41:25,680 --> 00:41:28,199 Due to the rapid interconnectedness 824 00:41:28,200 --> 00:41:29,479 of the modern world, 825 00:41:29,480 --> 00:41:31,079 leaders could no longer ignore 826 00:41:31,080 --> 00:41:33,759 urgent health crises in distant countries, 827 00:41:33,760 --> 00:41:35,919 as they would be putting their own citizens 828 00:41:35,920 --> 00:41:38,919 at a greater risk of infection. 829 00:41:38,920 --> 00:41:40,519 The lessons we learn, 830 00:41:40,520 --> 00:41:43,719 particularly from the Ebola epidemic in 2014/15, 831 00:41:43,720 --> 00:41:46,639 which affected some of the poorest countries in the world, 832 00:41:46,640 --> 00:41:50,119 was that if we don’t improve 833 00:41:50,120 --> 00:41:52,999 the ability of the poorest countries to respond now, 834 00:41:53,000 --> 00:41:56,399 we’re going to be left, as the wealthy countries, 835 00:41:56,400 --> 00:42:00,159 having to intervene later, and spending a lot more money, 836 00:42:00,160 --> 00:42:03,519 a lot more people dying, a lot more risk to ourselves, 837 00:42:03,520 --> 00:42:05,799 than we would if we had invested to start with, 838 00:42:05,800 --> 00:42:09,479 and helped those countries develop the capacity they need. 839 00:42:09,480 --> 00:42:12,279 As a result of this epidemic, 840 00:42:12,280 --> 00:42:14,399 several influential figures 841 00:42:14,400 --> 00:42:16,239 have called for a renewed focus 842 00:42:16,240 --> 00:42:18,919 on international public health issues. 843 00:42:18,920 --> 00:42:22,679 Microsoft founder Bill Gates has spent billions of dollars 844 00:42:22,680 --> 00:42:25,479 working towards the eradication of global diseases. 845 00:42:25,480 --> 00:42:30,119 He has advocated for building health organizations in most, 846 00:42:30,120 --> 00:42:32,399 if not all, countries around the globe, 847 00:42:32,400 --> 00:42:33,879 which could function 848 00:42:33,880 --> 00:42:35,799 as an international early alert system 849 00:42:35,800 --> 00:42:38,239 for potential new outbreaks. 850 00:42:38,240 --> 00:42:40,999 Some of those same kinds of preparations 851 00:42:41,000 --> 00:42:42,719 of having lists of volunteers 852 00:42:42,720 --> 00:42:47,679 and knowing that people are trained and really practicing 853 00:42:47,680 --> 00:42:49,839 for something very challenging, 854 00:42:49,840 --> 00:42:51,559 that’s probably one of the lessons 855 00:42:51,560 --> 00:42:53,279 out of this Ebola epidemic. 856 00:42:53,280 --> 00:42:56,119 A flu pandemic poses the biggest challenge, 857 00:42:56,120 --> 00:42:57,879 in terms of responding quickly, 858 00:42:57,880 --> 00:43:00,999 because flu spreads very, very fast. 859 00:43:01,000 --> 00:43:02,559 It’s about two, three days 860 00:43:02,560 --> 00:43:03,999 between one person getting infected 861 00:43:04,000 --> 00:43:05,519 and them infecting the next person 862 00:43:05,520 --> 00:43:07,159 and the next person. 863 00:43:07,160 --> 00:43:10,799 So we know how to make flu vaccines against flu pandemics. 864 00:43:10,800 --> 00:43:12,719 The challenge is that we’re in a race against time 865 00:43:12,720 --> 00:43:14,239 against the virus itself. 866 00:43:14,240 --> 00:43:18,039 So back in 2009, it took us about five, six months, 867 00:43:18,040 --> 00:43:19,599 and we were doing well, 868 00:43:19,600 --> 00:43:21,319 to make large amounts of the vaccine. 869 00:43:21,320 --> 00:43:24,799 And that was already too late for much of the world. 870 00:43:24,800 --> 00:43:28,119 There is enormous effort now, in the intervening 10 years, 871 00:43:28,120 --> 00:43:29,679 to speeding up that process. 872 00:43:29,680 --> 00:43:31,199 We’re not quite there yet, 873 00:43:31,200 --> 00:43:33,119 but there is the potential of new technologies 874 00:43:33,120 --> 00:43:37,159 allowing us to mass produce enormous quantities of vaccine 875 00:43:37,160 --> 00:43:38,759 on a much faster timescale. 876 00:43:38,760 --> 00:43:41,079 And I would envisage that in the next 10 years, 877 00:43:41,080 --> 00:43:43,639 those-- Those new technologies will come to fruition. 878 00:43:43,640 --> 00:43:47,479 The 2014 Ebola epidemic in West Africa 879 00:43:47,480 --> 00:43:49,799 highlighted major deficiencies 880 00:43:49,800 --> 00:43:52,119 in the ability of the international public health 881 00:43:52,120 --> 00:43:53,999 and scientific communities 882 00:43:54,000 --> 00:43:57,279 to respond to infectious disease emergencies. 883 00:43:57,280 --> 00:44:00,999 It also provided a stark reminder of the consequences 884 00:44:01,000 --> 00:44:02,879 of not investing in the development 885 00:44:02,880 --> 00:44:06,839 of healthcare infrastructure in developing countries. 886 00:44:06,840 --> 00:44:10,759 The world kind of woke up to the threat of new epidemics, 887 00:44:10,760 --> 00:44:15,159 really, with the SARS epidemic in 2003/4, 888 00:44:15,160 --> 00:44:16,559 followed by avian influenza. 889 00:44:16,560 --> 00:44:18,639 The wealthy countries in the world 890 00:44:18,640 --> 00:44:20,759 then started investing significantly, 891 00:44:20,760 --> 00:44:23,119 both in research, but also in preparedness. 892 00:44:23,120 --> 00:44:24,879 And that is... 893 00:44:24,880 --> 00:44:27,359 First of all, in health systems, better surveillance. 894 00:44:27,360 --> 00:44:30,399 Picking up diseases at the earliest possible stage 895 00:44:30,400 --> 00:44:33,199 in an epidemic, so you have time to do something about it. 896 00:44:33,200 --> 00:44:36,439 Improving our ability to make vaccines, 897 00:44:36,440 --> 00:44:38,479 for instance, against flu viruses. 898 00:44:38,480 --> 00:44:41,639 Also, now, just in the last few years, 899 00:44:41,640 --> 00:44:44,319 starting to actually develop vaccines 900 00:44:44,320 --> 00:44:45,839 against some of these viruses, 901 00:44:45,840 --> 00:44:47,719 even before they become a pandemic. 902 00:44:47,720 --> 00:44:49,279 And then there’s, of course, 903 00:44:49,280 --> 00:44:51,359 much of the world is not wealthy enough 904 00:44:51,360 --> 00:44:53,079 to put enormous amounts of money 905 00:44:53,080 --> 00:44:54,919 into epidemic preparedness. 906 00:44:54,920 --> 00:44:57,999 But even there, there has been the increasing investment, 907 00:44:58,000 --> 00:45:01,839 by particularly, like the U.K., Germany, the United States, 908 00:45:01,840 --> 00:45:05,119 in helping countries develop healthcare infrastructure, 909 00:45:05,120 --> 00:45:07,639 which enhances surveillance, more generally, 910 00:45:07,640 --> 00:45:09,399 enhances their ability to respond 911 00:45:09,400 --> 00:45:11,399 to that sort of emergency. 912 00:45:11,400 --> 00:45:13,959 There is, however, 913 00:45:13,960 --> 00:45:15,479 still an issue. 914 00:45:15,480 --> 00:45:16,999 Companies are focusing 915 00:45:17,000 --> 00:45:19,279 on the development of drugs and vaccines 916 00:45:19,280 --> 00:45:21,119 to tackle the chronic diseases 917 00:45:21,120 --> 00:45:24,159 which predominately affect people in the developed world, 918 00:45:24,160 --> 00:45:28,639 and not the diseases which are more likely to cause epidemics. 919 00:45:28,640 --> 00:45:31,519 If we are going to prevent future pandemics, 920 00:45:31,520 --> 00:45:33,719 we must be continually developing 921 00:45:33,720 --> 00:45:35,959 powerful new vaccines. 922 00:45:35,960 --> 00:45:39,919 When it comes to flu, one of the things that’s interesting 923 00:45:39,920 --> 00:45:43,439 and quite stunning are the recent efforts 924 00:45:43,440 --> 00:45:47,159 to develop a vaccine that does not require prediction anymore. 925 00:45:47,160 --> 00:45:49,999 These are called "pan-influenza" vaccines. 926 00:45:50,000 --> 00:45:53,599 The idea is you find a way to vaccinate people 927 00:45:53,600 --> 00:45:56,199 against any flu strain that is out there. 928 00:45:56,200 --> 00:45:58,199 I think, we are relatively far away from this, 929 00:45:58,200 --> 00:46:02,279 but if that worked, of course, that would be amazing. 930 00:46:02,280 --> 00:46:04,279 Certainly, it’s true, 931 00:46:04,280 --> 00:46:07,599 that we have an ever-present risk of a lethal pandemic. 932 00:46:07,600 --> 00:46:11,119 And if we’re talking about, for instance, 933 00:46:11,120 --> 00:46:16,479 a virus similar in lethality to the 1918 pandemic, 934 00:46:16,480 --> 00:46:18,919 even with modern medical technologies, 935 00:46:18,920 --> 00:46:21,919 that could easily cause 30 million deaths worldwide. 936 00:46:21,920 --> 00:46:25,519 We must also do our best to address changes 937 00:46:25,520 --> 00:46:27,599 that are occurring in the Earth’s climate, 938 00:46:27,600 --> 00:46:29,159 which can affect the spread 939 00:46:29,160 --> 00:46:31,479 and reach of infectious diseases. 940 00:46:31,480 --> 00:46:33,919 We know from malaria, for instance, 941 00:46:33,920 --> 00:46:36,159 the limits of malaria infection in the world 942 00:46:36,160 --> 00:46:39,479 are dictated by the mosquitoes that can transmit it. 943 00:46:39,480 --> 00:46:42,079 The limit there is that they have to survive the winter 944 00:46:42,080 --> 00:46:45,519 so that the parasites can develop in the mosquitoes 945 00:46:45,520 --> 00:46:47,799 and then come back next year. 946 00:46:47,800 --> 00:46:49,719 Now, with global warming, 947 00:46:49,720 --> 00:46:52,559 these mosquitoes can extend much more to the north 948 00:46:52,560 --> 00:46:54,119 than they did in the past. 949 00:46:54,120 --> 00:46:56,879 There are similar developments for viruses 950 00:46:56,880 --> 00:46:59,199 that use mosquitoes to transmit. 951 00:46:59,200 --> 00:47:01,959 One example is the West Nile virus in the U.S., 952 00:47:01,960 --> 00:47:03,679 which didn’t exist there, 953 00:47:03,680 --> 00:47:06,919 but now is there because it can be transmitted by mosquitoes 954 00:47:06,920 --> 00:47:08,399 that didn’t live there before. 955 00:47:08,400 --> 00:47:09,599 So global warming 956 00:47:09,600 --> 00:47:12,479 clearly plays into the distribution 957 00:47:12,480 --> 00:47:14,679 of infectious diseases. 958 00:47:14,680 --> 00:47:18,879 The Ebola outbreak clearly demonstrated the risk 959 00:47:18,880 --> 00:47:21,199 that increasing accessibility to air travel 960 00:47:21,200 --> 00:47:24,439 can pose to infection control. 961 00:47:24,440 --> 00:47:26,639 As well as the spread of disease, 962 00:47:26,640 --> 00:47:28,839 there is also the panic that can ensue 963 00:47:28,840 --> 00:47:31,999 when infected people are moving freely and quickly 964 00:47:32,000 --> 00:47:34,080 across international borders. 965 00:47:36,000 --> 00:47:39,679 It is clear that within an ever more interconnected world, 966 00:47:39,680 --> 00:47:41,359 the threat of diseases 967 00:47:41,360 --> 00:47:43,399 spreading rapidly around the globe 968 00:47:43,400 --> 00:47:45,519 has become more probable than ever. 969 00:47:45,520 --> 00:47:49,879 And if a global pandemic does, indeed, become our reality, 970 00:47:49,880 --> 00:47:54,159 it won’t matter who you are, or what continent you live on. 971 00:47:54,160 --> 00:47:57,479 No one on this planet will be truly safe 972 00:47:57,480 --> 00:47:59,519 if Mother Nature unleashes 973 00:47:59,520 --> 00:48:02,480 her most inescapable deadly disaster. 83033

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