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These are the user uploaded subtitles that are being translated: 1 00:01:02,187 --> 00:01:04,230 To walk, I think we'll go on low setting. 2 00:01:04,314 --> 00:01:06,191 We may end up surveying both, but... 3 00:01:06,274 --> 00:01:07,274 Yeah. 4 00:01:12,197 --> 00:01:14,407 This site is a forgotten place. 5 00:01:16,326 --> 00:01:18,828 But it should be a warning to us all. 6 00:01:23,666 --> 00:01:26,628 We'll identify the anomalies and mark those out. 7 00:01:26,711 --> 00:01:32,008 So you're trying to narrow the focus of the radar pulse, is that it? 8 00:01:32,092 --> 00:01:35,136 Yeah, we're looking for a change in the density of the soil. 9 00:01:39,516 --> 00:01:41,893 There are some anomalies sort of popping up. 10 00:01:41,976 --> 00:01:44,479 This is a pretty strong one here, there's one there. 11 00:01:44,562 --> 00:01:47,899 At one meter in and then over at three. 12 00:01:52,695 --> 00:01:56,699 Each stake represents a probable body. 13 00:02:00,286 --> 00:02:03,414 This is essentially a mass grave. 14 00:02:06,584 --> 00:02:10,088 A hundred years ago, a deadly influenza virus 15 00:02:10,171 --> 00:02:13,591 infected hundreds of millions of people around the world. 16 00:02:18,972 --> 00:02:21,432 It overwhelmed hospitals. 17 00:02:23,601 --> 00:02:25,770 It overwhelmed mortuaries. 18 00:02:26,980 --> 00:02:30,900 So towns all over the world needed a quick solution. 19 00:02:36,656 --> 00:02:39,450 We could be standing in any number of towns 20 00:02:39,534 --> 00:02:44,664 across the US, or Kenya, India, Vietnam. 21 00:02:46,207 --> 00:02:50,295 This grave site is a reminder of the devastation 22 00:02:50,378 --> 00:02:52,672 a flu pandemic can wreak. 23 00:02:54,090 --> 00:02:57,510 This kind of carnage is not relegated to history. 24 00:02:57,594 --> 00:03:00,430 When we talk about another flu pandemic happening, 25 00:03:01,264 --> 00:03:04,893 it's not a matter of if, but when. 26 00:03:21,951 --> 00:03:25,663 - Take the stethoscope, and... - Yes, ensure that the gown covers. 27 00:03:25,747 --> 00:03:29,209 We have received reports of an outbreak of respiratory illness. 28 00:03:29,292 --> 00:03:30,519 Make sure you have a good seal. 29 00:03:30,543 --> 00:03:32,703 Give me a thumbs up once you know you have a good seal. 30 00:03:34,130 --> 00:03:35,816 About eight other countries around the world 31 00:03:35,840 --> 00:03:37,634 are also reporting similar outbreaks. 32 00:03:37,717 --> 00:03:39,820 I can't breathe. 33 00:03:40,803 --> 00:03:44,474 Unofficial case count is about over 220 with eight deaths. 34 00:03:44,557 --> 00:03:46,643 We don't know what the case definition looks like 35 00:03:46,726 --> 00:03:50,605 and we don't know the laboratory analysis of this particular outbreak. 36 00:03:52,315 --> 00:03:54,043 We know that we are dealing with something novel, 37 00:03:54,067 --> 00:03:55,961 we just don't know exactly what we're dealing with, 38 00:03:55,985 --> 00:03:59,447 but some of the patients are not testing positive 39 00:03:59,530 --> 00:04:01,407 for these normal seasonal flu viruses. 40 00:04:01,491 --> 00:04:03,826 I don't feel okay. 41 00:04:03,910 --> 00:04:06,550 Currently, the Emergency Department at Kings County Hospital 42 00:04:06,579 --> 00:04:08,373 is operating at 104% 43 00:04:08,456 --> 00:04:11,876 and so we have set up a mobile satellite emergency department. 44 00:04:11,960 --> 00:04:13,211 What's going on? 45 00:04:13,294 --> 00:04:16,047 - I'm not doing well. I can't breathe. - Okay. Okay. 46 00:04:16,881 --> 00:04:19,592 I need intubation equipment. There's no intubation equipment. 47 00:04:21,261 --> 00:04:23,513 Somebody get the ice. Ashley. 48 00:04:23,596 --> 00:04:26,933 I wouldn't turn it off at this point, I don't think we have time. 49 00:04:27,016 --> 00:04:29,227 Can you check the X-ray on bed one? 50 00:04:37,819 --> 00:04:38,777 Yeah, that's it. 51 00:04:38,778 --> 00:04:40,697 The simulation is ended. 52 00:04:40,780 --> 00:04:42,824 Let's go back to the debriefing room. 53 00:04:42,907 --> 00:04:44,200 - Thank you. - Thank you. 54 00:04:54,502 --> 00:04:58,965 So all who participated, please come to make a circle. 55 00:04:59,048 --> 00:05:02,218 I think one of the things that we tried to bake into the simulation 56 00:05:02,302 --> 00:05:04,220 was just healthcare worker safety. 57 00:05:04,304 --> 00:05:07,307 I think that was one of the biggest takeaways in the previous outbreaks. 58 00:05:07,390 --> 00:05:10,018 If I have to take the time out to switch my gown 59 00:05:10,101 --> 00:05:12,270 and someone needs to be intubated, 60 00:05:12,353 --> 00:05:15,773 I'm gonna pick their life over switching out my garment. 61 00:05:15,857 --> 00:05:17,942 We're talking about a severe respiratory disease. 62 00:05:18,026 --> 00:05:20,129 Really big lesson learned, and we mentioned this over and over, 63 00:05:20,153 --> 00:05:22,989 is that healthcare workers were disproportionally affected 64 00:05:23,072 --> 00:05:24,907 in MERS and SARS, 65 00:05:24,991 --> 00:05:27,285 and it shows us where we need to improve on. 66 00:05:27,368 --> 00:05:30,246 So if you're not protected, if you can't protect yourself, 67 00:05:30,330 --> 00:05:32,040 then how are you gonna help others? 68 00:05:39,714 --> 00:05:43,301 My job is to contain the virus here in New York City. 69 00:05:44,302 --> 00:05:48,056 What worries me is that it just takes one person to start an outbreak. 70 00:05:48,139 --> 00:05:49,515 We're basically human incubators, 71 00:05:49,599 --> 00:05:51,934 we can host a number of different diseases. 72 00:05:52,018 --> 00:05:55,271 It's just a matter of time where the next pandemic is going to start, 73 00:05:55,355 --> 00:05:57,565 we just don't know where or how, but we know it will. 74 00:05:59,484 --> 00:06:03,654 I remember, at a very young age, watching a movie called Outbreak, 75 00:06:03,780 --> 00:06:07,325 and in this movie you had a novel virus 76 00:06:07,408 --> 00:06:11,412 that started in California that quickly spread. 77 00:06:11,496 --> 00:06:14,082 Healthcare workers get suited up, and I was like, "Oh, my God, 78 00:06:14,165 --> 00:06:16,918 working in that high-risk environment, this is amazing." 79 00:06:19,921 --> 00:06:23,549 That was a formative moment for me, and I have been pursuing a career 80 00:06:23,633 --> 00:06:26,094 in infectious disease preparedness ever since. 81 00:06:26,803 --> 00:06:30,098 In even a small outbreak, you have what we call "hoarding." 82 00:06:30,181 --> 00:06:33,226 We saw this in the H1N1 outbreak 83 00:06:33,309 --> 00:06:35,329 where vaccines were not made available in the United States 84 00:06:35,353 --> 00:06:37,593 in a timely fashion because countries were hoarding it... 85 00:06:37,647 --> 00:06:39,367 You know, these infectious disease outbreaks 86 00:06:39,440 --> 00:06:43,444 are scarier and more deadly than conventional warfare. 87 00:06:44,654 --> 00:06:47,532 So this is something that people should pay attention to, 88 00:06:47,615 --> 00:06:49,742 but they forget in their day-to-day lives. 89 00:06:50,326 --> 00:06:52,578 My job is to remind them. 90 00:07:14,100 --> 00:07:15,101 Hello. 91 00:07:17,353 --> 00:07:20,189 Okay. Knocked out, okay. 92 00:07:21,441 --> 00:07:23,443 Okay, I'll be there in a second. Okay. 93 00:07:24,694 --> 00:07:25,694 Yeah, I can hear it, too. 94 00:07:40,418 --> 00:07:44,380 I wake up in this building. I eat in this building. 95 00:07:44,464 --> 00:07:49,135 I put my pajamas on in this building and I sleep in this building. 96 00:07:49,886 --> 00:07:52,763 How did I know you'd be the one to make my night? 97 00:07:53,431 --> 00:07:54,432 I'm telling you. 98 00:07:54,515 --> 00:07:55,683 Juanita. 99 00:07:58,186 --> 00:08:00,480 When I came out of medical school... 100 00:08:02,190 --> 00:08:05,067 in the back of my mind I still had that vision 101 00:08:05,151 --> 00:08:07,320 of what it was to be a small-town doctor. 102 00:08:10,573 --> 00:08:14,619 Very old-school, the one doctor in town. 103 00:08:15,578 --> 00:08:17,038 I want you to hold your breath. 104 00:08:17,121 --> 00:08:19,415 Big deep breath in and hold it. 105 00:08:19,499 --> 00:08:21,083 They saw patients in the clinic, 106 00:08:21,167 --> 00:08:23,878 they were the ones that were rotating through the ER. 107 00:08:23,961 --> 00:08:25,898 They were the ones seeing the patients in the hospital 108 00:08:25,922 --> 00:08:27,173 and delivering babies. 109 00:08:27,298 --> 00:08:28,883 I wanted to be that guy. 110 00:08:28,966 --> 00:08:31,010 I wanted to be that one 111 00:08:31,093 --> 00:08:34,805 who took care of the patient when they were well 112 00:08:34,889 --> 00:08:36,809 and took care of the patient when they were sick. 113 00:08:37,350 --> 00:08:39,852 - Stick it out and say, "Ah." - Ah. 114 00:08:39,936 --> 00:08:42,080 And took care of the patient when they were hurt 115 00:08:42,104 --> 00:08:45,149 and ran into the patient in different social situations 116 00:08:45,233 --> 00:08:47,235 outside of the hospital or clinic. 117 00:08:49,278 --> 00:08:50,279 You okay? 118 00:08:50,363 --> 00:08:52,573 - I need to see what's under there. - Yeah. 119 00:08:52,657 --> 00:08:54,867 I had other physicians that talked to me 120 00:08:54,951 --> 00:08:56,470 and I'd say, "What advice do you have for me?" 121 00:08:56,494 --> 00:08:57,954 And they'd say, "Reconsider." 122 00:08:58,579 --> 00:09:01,624 But nobody could dissuade me. I was gonna do it regardless. 123 00:09:04,460 --> 00:09:05,418 Hi, there. 124 00:09:05,419 --> 00:09:07,797 - So were you diagnosed with the flu? - Yeah. 125 00:09:07,880 --> 00:09:08,838 They swabbed you? 126 00:09:08,839 --> 00:09:10,119 - It was positive? - Yes. 127 00:09:10,174 --> 00:09:12,778 - Do you remember if it was the A or the B? - I think it was the A. 128 00:09:12,802 --> 00:09:15,096 - A, okay. - They did both of our noses. 129 00:09:15,179 --> 00:09:16,782 - That was Wednesday. - You should be at the end of it, 130 00:09:16,806 --> 00:09:18,075 but you're not feeling better... 131 00:09:18,099 --> 00:09:21,894 Yesterday, my symptoms started getting worse. 132 00:09:21,978 --> 00:09:24,188 Okay. Have you been feeling sweats, chills? 133 00:09:24,272 --> 00:09:26,524 Chills. He wakes up in a sweat. 134 00:09:27,984 --> 00:09:30,528 She said that you have not been feeling well at all. 135 00:09:30,611 --> 00:09:33,291 That you really haven't been getting over the flu like you ought to. 136 00:09:33,990 --> 00:09:38,411 Big deep breath in. Well done. Good. Do that again. 137 00:09:39,745 --> 00:09:42,915 I don't have every resource that a large hospital has. 138 00:09:43,708 --> 00:09:48,838 I honestly have no idea what I would do in a situation like a pandemic. 139 00:09:49,797 --> 00:09:51,465 We're gonna be lower on the totem pole 140 00:09:51,549 --> 00:09:54,594 in terms of getting replenishment of our resources. 141 00:09:56,429 --> 00:09:58,514 Places that have higher populations 142 00:09:58,598 --> 00:10:03,603 are gonna be the places that get that lifesaving medication first. 143 00:10:06,355 --> 00:10:08,983 I think that we would be overwhelmed. 144 00:10:09,066 --> 00:10:10,693 We wouldn't be able to manage 145 00:10:10,776 --> 00:10:15,239 should a flu pandemic occur in our little county. 146 00:10:40,598 --> 00:10:44,435 We have to follow the virus. Where is the virus located? 147 00:10:44,518 --> 00:10:45,645 Very good. 148 00:10:46,228 --> 00:10:49,190 And the virus is located in birds. 149 00:10:52,401 --> 00:10:54,654 My job takes me all over the world. 150 00:10:56,072 --> 00:10:59,533 My main responsibility is trying to prevent, trying to detect, 151 00:10:59,617 --> 00:11:03,162 and respond, and control emerging viral threats. 152 00:11:08,542 --> 00:11:12,630 There is no single, more dangerous influenza virus 153 00:11:12,713 --> 00:11:18,386 circulating in this planet today than the avian flu in China right now. 154 00:11:19,679 --> 00:11:22,682 60% of the people who are infected die. 155 00:11:23,849 --> 00:11:26,352 Chinese and global health authorities 156 00:11:26,435 --> 00:11:29,689 are watching a new strain of bird flu. It's called H7N9. 157 00:11:29,772 --> 00:11:33,484 This is definitely one of the most lethal influenza viruses 158 00:11:33,567 --> 00:11:34,985 that we have seen so far. 159 00:11:35,069 --> 00:11:36,213 Authorities in China 160 00:11:36,237 --> 00:11:39,573 are at pains to say they're on top of this potential outbreak. 161 00:11:39,657 --> 00:11:45,663 At least 108 cases, 22 of those people infected died. 162 00:11:45,746 --> 00:11:50,418 The recent H7N9 virus has a very high mortality rate. 163 00:11:50,501 --> 00:11:56,173 That said, it remains an inefficient virus for infecting people. 164 00:11:56,257 --> 00:12:01,512 So far, this virus has not yet spread beyond China, 165 00:12:01,595 --> 00:12:03,597 but it could happen at any time. 166 00:12:04,432 --> 00:12:07,935 - When were these birds last vaccinated? - Seven days ago. 167 00:12:08,018 --> 00:12:10,818 So they had a problem with neighboring farms having outbreaks? 168 00:12:10,896 --> 00:12:12,690 Yes, they did. 169 00:12:12,773 --> 00:12:16,235 Some people bought sick chickens at the market. 170 00:12:17,695 --> 00:12:21,866 There are almost endless variations of the influenza virus. 171 00:12:23,242 --> 00:12:29,540 They're denoted by different combinations of H's and N's, such as H5N1. 172 00:12:30,958 --> 00:12:34,837 The H's and N's ultimately define 173 00:12:34,920 --> 00:12:39,884 the physical characteristics an influenza virus will have 174 00:12:39,967 --> 00:12:44,221 and just how deadly that infection might be. 175 00:12:45,598 --> 00:12:50,478 The pandemic flus and the seasonal flus are profoundly different. 176 00:12:50,561 --> 00:12:55,065 A pandemic influenza will likely come from an animal 177 00:12:56,358 --> 00:13:01,322 and it will be a new and novel, never-seen-before virus. 178 00:13:03,783 --> 00:13:09,789 When a novel virus emerges from animals, we will not have natural immunity. 179 00:13:09,872 --> 00:13:14,210 Our systems will have no means to fight the infection off, 180 00:13:14,293 --> 00:13:17,546 which means it has the potential for being very deadly. 181 00:13:19,298 --> 00:13:21,801 That's why there are researchers around the world 182 00:13:21,884 --> 00:13:25,179 committed to developing a universal vaccine 183 00:13:26,180 --> 00:13:30,726 that will be effective against any and all influenza viruses. 184 00:13:53,415 --> 00:13:55,626 I don't really get stage fright anymore. 185 00:13:57,169 --> 00:13:59,648 I used to do this thing where if I knew I was about to go on the stage, 186 00:13:59,672 --> 00:14:02,591 my heart would start beating and I'd feel like I was gonna pass out, 187 00:14:04,009 --> 00:14:05,729 but I knew for the work that I wanted to do, 188 00:14:05,761 --> 00:14:07,155 I had to be an effective communicator. 189 00:14:07,179 --> 00:14:09,765 If I wasn't able to communicate my science, 190 00:14:09,849 --> 00:14:12,393 then it was almost like the science didn't exist. 191 00:14:12,476 --> 00:14:13,894 Can you get the slides up? 192 00:14:16,438 --> 00:14:18,524 That's a different slide there. 193 00:14:18,607 --> 00:14:21,110 All right, good afternoon, New York. 194 00:14:22,611 --> 00:14:25,739 So, yeah, I'm the co-founder, Chief Science Officer, 195 00:14:25,823 --> 00:14:27,741 and the Chairman of Distributed Bio, 196 00:14:27,825 --> 00:14:30,786 and this afternoon I'm gonna share with you 197 00:14:30,870 --> 00:14:35,583 the story of a slow-burning revolution in biologic therapeutic discovery. 198 00:14:36,542 --> 00:14:38,252 I never memorize a specific speech. 199 00:14:38,335 --> 00:14:41,589 I think about the arc of the story I'm gonna tell, 200 00:14:41,672 --> 00:14:45,593 and really good storytelling, those rules apply to science. 201 00:14:46,427 --> 00:14:47,587 It's basically the same rules 202 00:14:47,636 --> 00:14:49,597 that our ancestors did around the campfire, right? 203 00:14:49,680 --> 00:14:51,724 First you have to introduce the terrible monster. 204 00:14:51,807 --> 00:14:53,475 In this case, it's influenza. 205 00:14:54,310 --> 00:14:55,912 The problem is that the virus mutates so quickly 206 00:14:55,936 --> 00:14:58,296 that your immune response becomes obsolete by the next year. 207 00:14:58,856 --> 00:15:00,941 We have created these amazing vaccine technologies 208 00:15:01,025 --> 00:15:04,403 that are arguably the greatest advances since sanitation and fire, 209 00:15:04,486 --> 00:15:06,697 and yet they don't work on rapidly mutating viruses, 210 00:15:06,780 --> 00:15:08,282 like the flu, for instance. 211 00:15:09,199 --> 00:15:11,011 And for a while we thought we were just stuck with this. 212 00:15:11,035 --> 00:15:12,804 They're never really gonna be able to solve the problem 213 00:15:12,828 --> 00:15:14,246 of having a good single shot 214 00:15:14,330 --> 00:15:17,291 that's gonna solve our risk of being exposed to flu. 215 00:15:18,459 --> 00:15:20,085 Then you present the hero. 216 00:15:20,669 --> 00:15:22,230 That there's some new technology that exists, 217 00:15:22,254 --> 00:15:24,173 that could potentially create a breakthrough. 218 00:15:24,256 --> 00:15:27,968 We're making a vaccine that could treat all future versions of flu. 219 00:15:29,011 --> 00:15:31,096 So, fundamentally, our approach was different, 220 00:15:31,180 --> 00:15:34,600 because we tested against future and past strains. 221 00:15:34,683 --> 00:15:35,893 Under some circumstances, 222 00:15:35,976 --> 00:15:38,020 some people end up producing these nice antibodies 223 00:15:38,103 --> 00:15:40,263 that hit all the strains or many of the strains of flu, 224 00:15:40,314 --> 00:15:42,524 and they enjoy broad protection. 225 00:15:42,608 --> 00:15:44,127 You all might have those friends, right? 226 00:15:44,151 --> 00:15:45,795 It's that annoying hippie friend of yours who's like, 227 00:15:45,819 --> 00:15:47,738 "I never take the flu shot and I'm fine." Right? 228 00:15:47,821 --> 00:15:49,883 Some of them may be right. 229 00:15:49,907 --> 00:15:52,743 But why the hell aren't we all protected all the time? 230 00:15:54,078 --> 00:15:56,914 Our approach was able to neutralize viruses 231 00:15:56,997 --> 00:15:58,832 all the way back to 1934 232 00:15:58,916 --> 00:16:01,877 as well as protect against future viral variants. 233 00:16:15,057 --> 00:16:18,644 I met Jake Glanville in the fall of 2014. 234 00:16:19,895 --> 00:16:21,855 He offered me a job. 235 00:16:23,732 --> 00:16:26,944 He knew that I had skills that he would need 236 00:16:27,027 --> 00:16:29,905 if he wanted to launch this vaccine program. 237 00:16:39,873 --> 00:16:42,584 Okay, so I can add the antibody to this one, then? 238 00:16:42,668 --> 00:16:44,003 Yep. 239 00:16:44,086 --> 00:16:46,213 Jake just thinks outside the box. 240 00:16:46,797 --> 00:16:51,468 He thinks of these crazy ideas that are completely out of the norm. 241 00:16:51,552 --> 00:16:58,142 Okay, the NHS and EHC are added, so clock's ticking now. 242 00:17:00,352 --> 00:17:04,148 We've done multiple animal studies so we know that this is reproducible. 243 00:17:04,231 --> 00:17:05,858 What we're seeing is real. 244 00:17:07,484 --> 00:17:11,780 I want to prove that my research and Jake's research 245 00:17:11,864 --> 00:17:13,073 could change the world. 246 00:17:14,533 --> 00:17:18,245 This vaccine could eradicate influenza as we know it. 247 00:17:31,508 --> 00:17:32,718 This will not work at all. 248 00:17:32,801 --> 00:17:35,596 Sir, this one is expected H1N1. 249 00:17:35,679 --> 00:17:36,805 So fast? 250 00:17:39,308 --> 00:17:41,786 There has been an alarming rise in the swine flu 251 00:17:41,810 --> 00:17:44,855 or H1N1 cases in India this year. 252 00:17:44,938 --> 00:17:49,318 The situation is turning rather serious with the fatalities increasing by the day. 253 00:17:49,401 --> 00:17:54,490 The North Indian State of Rajasthan has been worst hit by the H1N1 virus. 254 00:18:02,289 --> 00:18:03,725 - Negative. It's negative. - But, look. 255 00:18:03,749 --> 00:18:05,417 The shadow is still here. 256 00:18:05,501 --> 00:18:08,003 And there are some light ones here. 257 00:18:08,087 --> 00:18:10,172 Let us see how you feel without oxygen. 258 00:18:10,255 --> 00:18:12,174 Should we continue with Tamiflu? 259 00:18:12,257 --> 00:18:15,135 It's day six today, right? Give it for one more day. 260 00:18:16,386 --> 00:18:18,639 Tamiflu, stop after seven days. 261 00:18:18,722 --> 00:18:20,162 We will stop it tomorrow. 262 00:18:33,487 --> 00:18:37,825 Swine flu is a very rapidly progressing disease. Very rapidly. 263 00:18:39,034 --> 00:18:42,454 In just a few days, it can affect both of the lungs, 264 00:18:42,538 --> 00:18:44,414 and it is a life-threatening disease. 265 00:18:47,000 --> 00:18:48,794 Common flu. 266 00:18:48,877 --> 00:18:54,216 All patients came with throat pain, sneezing, fever, body ache. 267 00:18:55,342 --> 00:19:00,013 But a patient who has nausea, vomiting, along with breathlessness, 268 00:19:00,931 --> 00:19:03,016 and he says "troublesome cough," 269 00:19:04,643 --> 00:19:06,395 always think "swine flu." 270 00:19:06,478 --> 00:19:08,355 Always think swine flu. 271 00:19:19,658 --> 00:19:21,660 Breathe normally. 272 00:19:24,079 --> 00:19:27,082 If it's not diagnosed properly at an early stage, 273 00:19:27,166 --> 00:19:29,126 it is difficult to treat. 274 00:19:53,817 --> 00:19:55,986 The problem is, when she came here, 275 00:19:56,069 --> 00:19:57,946 she had 60%-70% saturation. 276 00:19:59,114 --> 00:20:01,450 If she had been on the road, she would've died. 277 00:20:02,993 --> 00:20:04,578 That is the fact. 278 00:20:06,705 --> 00:20:09,791 We will shift to the ICU. Then treatment will start. 279 00:20:14,588 --> 00:20:18,467 The later they come, the more laborious it gets to breathe, 280 00:20:18,550 --> 00:20:21,136 and it becomes a matter of life or death. 281 00:20:34,233 --> 00:20:36,235 Biggest challenge with flu 282 00:20:36,777 --> 00:20:42,157 is not being lulled into acceptance of seasonal flu 283 00:20:42,241 --> 00:20:44,868 as all we have to worry about. 284 00:20:46,411 --> 00:20:52,668 Because every once in a while, there is a variant of flu that emerges 285 00:20:53,502 --> 00:20:59,174 that poses an existential threat to us as a species. 286 00:21:01,426 --> 00:21:03,720 We go back to 1918... 287 00:21:05,305 --> 00:21:09,393 and, you know, that flu profoundly impacted this Earth. 288 00:21:13,188 --> 00:21:17,234 It emerged at the very end of World War I. 289 00:21:17,818 --> 00:21:22,447 Soldiers returning home from battle helped spread the virus around the world. 290 00:21:22,531 --> 00:21:27,202 We ended up seeing a global event very rapidly, 291 00:21:27,286 --> 00:21:31,957 even at a time when population movements were a fraction of what they are today. 292 00:21:33,792 --> 00:21:38,505 Far more people died in the 18-month period of that flu 293 00:21:38,588 --> 00:21:42,259 than died in all of World War I and World War II. 294 00:21:43,302 --> 00:21:46,722 Somewhere in the order of 50 to 100 million deaths. 295 00:21:48,807 --> 00:21:54,396 In 1918, there were 1.8 billion people on the planet Earth. 296 00:21:54,479 --> 00:21:58,358 Today, there are 7.8 billion people. 297 00:21:59,651 --> 00:22:05,240 If a similar virus emerged today, the result would be not 50 to 100, 298 00:22:05,324 --> 00:22:08,618 but hundreds of millions of people that would likely die. 299 00:22:10,287 --> 00:22:13,915 And it's a guarantee that another version 300 00:22:13,999 --> 00:22:17,711 of that killer flu will reappear. 301 00:22:17,794 --> 00:22:18,837 We don't know when, 302 00:22:18,920 --> 00:22:24,009 but we should always presume it can be... soon. 303 00:22:27,679 --> 00:22:30,557 When it comes to a pandemic, there are many unknowns. 304 00:22:32,100 --> 00:22:34,436 It's about the societal disruption. 305 00:22:37,898 --> 00:22:40,025 The thing that will immediately be threatened 306 00:22:40,108 --> 00:22:42,819 is continuity of health services. 307 00:22:44,821 --> 00:22:50,744 But also, you'll have severe issues with normal infrastructure operating. 308 00:22:51,828 --> 00:22:54,122 Electricity is dependent on power plants 309 00:22:54,206 --> 00:22:56,625 and power plants are dependent on a work force. 310 00:22:56,708 --> 00:23:01,004 That work force becomes ill, then you have huge vulnerabilities. 311 00:23:01,088 --> 00:23:02,714 What are urban areas going to do 312 00:23:02,798 --> 00:23:07,010 after a couple of weeks of disruptive impact on food supplies? 313 00:23:08,637 --> 00:23:12,474 You'll not only have people dying from an influenza virus, 314 00:23:12,557 --> 00:23:16,186 they'll be dying from what are preventable deaths today. 315 00:23:17,396 --> 00:23:19,856 It will leave its mark. 316 00:23:20,607 --> 00:23:22,692 That's why I do what I do. 317 00:23:22,776 --> 00:23:27,322 If we catch it early enough, we may be able to save millions of lives. 318 00:23:27,906 --> 00:23:29,408 But it's an uphill battle 319 00:23:29,491 --> 00:23:32,661 because there are so many opportunities for emergence, 320 00:23:32,744 --> 00:23:35,747 and our resources for early detection are limited. 321 00:23:47,134 --> 00:23:48,611 All right, good morning, everybody. 322 00:23:48,635 --> 00:23:50,279 We'll go ahead and get started with roll call. 323 00:23:50,303 --> 00:23:54,891 As always, one person from each facility can just state that they are on. 324 00:23:54,975 --> 00:23:59,104 We started this weekly system-wide seasonal flu activation call 325 00:23:59,187 --> 00:24:02,149 with all hospitals that we have across the system, 326 00:24:02,232 --> 00:24:05,902 and the whole purpose of it is really, as we progress with seasonal flu, 327 00:24:05,986 --> 00:24:08,321 they let us know any impact that they're having. 328 00:24:09,114 --> 00:24:11,992 Influenza activity is categorized as widespread. 329 00:24:12,075 --> 00:24:14,035 This is the actual first week 330 00:24:14,119 --> 00:24:16,621 that widespread activity has been reported. 331 00:24:16,705 --> 00:24:18,248 Last year's flu season 332 00:24:18,331 --> 00:24:20,834 was one of the worst that we've had in decades. 333 00:24:20,917 --> 00:24:24,129 A record-breaking number of hospitalizations and deaths. 334 00:24:24,212 --> 00:24:26,214 Bellevue, any changes to your current status? 335 00:24:26,298 --> 00:24:28,592 No changes from the current status. 336 00:24:28,675 --> 00:24:31,845 Great. Thank you. Coney Island, any changes? 337 00:24:31,928 --> 00:24:33,096 No changes. 338 00:24:33,180 --> 00:24:34,222 Great. Thank you. 339 00:24:34,973 --> 00:24:39,769 We started seeing impacts to staffing. We started seeing impacts to flu supplies. 340 00:24:39,853 --> 00:24:42,230 There were shortages of Tamiflu, 341 00:24:42,314 --> 00:24:44,834 so much so that folks were coming back to the emergency department 342 00:24:44,858 --> 00:24:48,695 asking for their children to be admitted, because they couldn't get this medication. 343 00:24:49,362 --> 00:24:51,907 - Queens, any changes? - No changes. 344 00:24:51,990 --> 00:24:53,074 Thank you. 345 00:24:53,158 --> 00:24:55,702 So we activated an emergency operation center 346 00:24:55,785 --> 00:24:58,663 to really get a bird's-eye view of what's happening system-wide 347 00:24:58,747 --> 00:25:01,387 and where we can provide the resources and expertise that's needed. 348 00:25:01,416 --> 00:25:03,710 And Woodhull, any changes? 349 00:25:03,793 --> 00:25:07,464 Yes. We have four patients on droplet precautions as of Monday 350 00:25:07,547 --> 00:25:08,965 and seven positive flu tests. 351 00:25:09,049 --> 00:25:11,277 All right. Excellent. Well, thank you all so much for joining. 352 00:25:11,301 --> 00:25:13,141 We appreciate it and we will see you next week. 353 00:25:13,178 --> 00:25:14,471 Take care, everybody. 354 00:25:14,554 --> 00:25:15,948 Part of emergency management is, you know, 355 00:25:15,972 --> 00:25:20,101 you're not just at the facilities, but just for me also worldwide. 356 00:25:20,185 --> 00:25:23,480 Sometimes when I wake up in the morning and I see 20 different emails, 357 00:25:23,563 --> 00:25:25,482 not just internally but also externally, 358 00:25:25,565 --> 00:25:28,252 I'm getting alerts of what's happening. I just try to stay on top of it. 359 00:25:28,276 --> 00:25:30,278 I'm gonna pull up her info so that... 360 00:25:30,362 --> 00:25:33,031 On any given day, it's meetings back-to-back. 361 00:25:33,114 --> 00:25:34,967 First, thank you all so much for meeting with us, 362 00:25:34,991 --> 00:25:36,552 and then obviously, for this collaboration... 363 00:25:36,576 --> 00:25:39,079 I typically start, you know, 8:30 or so... 364 00:25:39,162 --> 00:25:42,624 If this was a real world event, what are some crisis standards... 365 00:25:42,707 --> 00:25:44,960 ...and then go on for the duration of the day. 366 00:25:45,043 --> 00:25:46,479 You wanna call the Department of Health. 367 00:25:46,503 --> 00:25:48,981 They will walk you through the case definition and they will... 368 00:25:49,005 --> 00:25:52,551 This isn't Atlanta. Anyone email back from CDC yet? 369 00:25:55,971 --> 00:25:56,971 This is Syra. 370 00:25:56,972 --> 00:25:59,057 A good chunk of my work is actually done at night, 371 00:25:59,140 --> 00:26:01,017 so it's not surprising at all 372 00:26:01,101 --> 00:26:03,353 if you get an email from me, like, 11:00, 12:00 at night. 373 00:26:03,436 --> 00:26:05,706 - Thank you so much. - Thank you for coming. 374 00:26:05,730 --> 00:26:07,357 I'm perfectly fine with it. 375 00:26:07,440 --> 00:26:09,960 I need to meet with these folks, I need to see what's happening. 376 00:26:11,152 --> 00:26:14,281 The threat of special pathogens is constantly on my mind. 377 00:26:14,364 --> 00:26:17,450 Things like MERS, SARS, Ebola, flu. 378 00:26:18,368 --> 00:26:22,455 While these outbreaks are happening remotely in distant areas, 379 00:26:22,539 --> 00:26:26,376 we know that they're just one flight away from coming here in the United States 380 00:26:26,459 --> 00:26:29,504 and that's exactly why I do what I do. 381 00:26:37,512 --> 00:26:39,055 What did you have for lunch today? 382 00:26:40,098 --> 00:26:42,559 It wasn't halal, but I got... 383 00:26:43,810 --> 00:26:46,521 - pasta pesto. - Good job. 384 00:26:47,230 --> 00:26:50,275 Special pathogens don't respect any boundaries. 385 00:26:52,068 --> 00:26:54,946 So I wanna make sure that I'm doing it not just for my children, 386 00:26:55,030 --> 00:26:58,450 but for the greater good of humanity, 'cause we wanna make sure people are safe. 387 00:27:10,920 --> 00:27:14,924 Back in 2012, I was working at Pfizer doing antibody engineering. 388 00:27:15,550 --> 00:27:18,219 I wasn't working on vaccines, but I was learning a lot 389 00:27:18,303 --> 00:27:21,973 about how the populations of antibodies respond to their targets. 390 00:27:23,058 --> 00:27:24,726 That technology really opened our eyes 391 00:27:24,809 --> 00:27:27,896 to what was really going on when someone gets vaccinated 392 00:27:27,979 --> 00:27:30,273 or when we're trying to engineer an antibody as a drug. 393 00:27:31,399 --> 00:27:34,027 I had a BA when I was at Pfizer, and I got promoted every year, 394 00:27:34,110 --> 00:27:36,488 so I was a principal scientist with a Bachelor's Degree. 395 00:27:37,155 --> 00:27:39,491 And friends of mine were... They thought I was crazy. 396 00:27:39,574 --> 00:27:41,576 Some of them were like, "Why are you leaving a job 397 00:27:41,660 --> 00:27:43,578 where normally you need a PhD, and a post doc, 398 00:27:43,662 --> 00:27:45,121 and eight years of experience?" 399 00:27:45,997 --> 00:27:47,683 But I was worried if I waited another ten years, 400 00:27:47,707 --> 00:27:50,867 I might start having children and then I would be too scared to make a big jump. 401 00:27:51,378 --> 00:27:54,464 I definitely was like, "I could be messing up my career right now, but..." 402 00:27:55,507 --> 00:27:59,260 I came up with this idea and I thought it was too beautiful not to try. 403 00:28:03,264 --> 00:28:04,641 More often than not, 404 00:28:04,724 --> 00:28:07,268 startups are looking for the quickest path to funding. 405 00:28:07,977 --> 00:28:10,980 A lot of them have a "fake it till you make it" approach. 406 00:28:11,064 --> 00:28:12,333 Well, she was a college dropout 407 00:28:12,357 --> 00:28:15,402 who became the youngest self-made female billionaire. 408 00:28:16,319 --> 00:28:20,865 In 2003, then 19-year-old Elizabeth Holmes founded Theranos 409 00:28:20,949 --> 00:28:23,326 with the hope of using small amounts of blood 410 00:28:23,410 --> 00:28:25,662 to do what normally took numerous tubes. 411 00:28:25,745 --> 00:28:27,664 - Does it work? - Yes. 412 00:28:28,164 --> 00:28:30,333 - You're confident in that? - I am confident in that. 413 00:28:30,417 --> 00:28:33,962 In order to get funding, they often have to convince investors 414 00:28:34,045 --> 00:28:36,089 about ideas that haven't been proven out yet, 415 00:28:36,172 --> 00:28:37,215 and sometimes, 416 00:28:37,298 --> 00:28:40,927 they do not have sound science to back up their plans. 417 00:28:41,010 --> 00:28:43,304 The company faces new investigations 418 00:28:43,388 --> 00:28:45,068 from the Securities and Exchange Commission 419 00:28:45,098 --> 00:28:47,934 and a US attorney's office in California. 420 00:28:48,017 --> 00:28:50,019 That's in addition to an ongoing probe 421 00:28:50,103 --> 00:28:52,105 by the centers for Medicare and Medicaid services. 422 00:28:52,188 --> 00:28:54,607 In bio tech, you need time 423 00:28:54,691 --> 00:28:57,569 to cultivate your credibility and your science. 424 00:28:58,236 --> 00:28:59,571 on top of those plans. 425 00:28:59,654 --> 00:29:03,283 Now Elizabeth Holmes is facing some pretty serious prison time. 426 00:29:03,366 --> 00:29:05,177 Holmes and the company's former president 427 00:29:05,201 --> 00:29:08,663 were indicted yesterday on federal wire fraud charges. 428 00:29:08,747 --> 00:29:12,459 So, eventually, some of these companies realize 429 00:29:12,542 --> 00:29:14,169 that the hype that they're built on 430 00:29:14,252 --> 00:29:17,797 is not enough to support their quest for the almighty dollar. 431 00:29:19,924 --> 00:29:23,094 There are a million reasons why an experiment can fail. 432 00:29:23,178 --> 00:29:26,347 Ultimately, all that matters is what the data says, 433 00:29:26,431 --> 00:29:29,434 and so far, our data is very promising. 434 00:29:30,101 --> 00:29:31,352 All righty. 435 00:29:31,853 --> 00:29:34,856 Our goal here is that we want to enable the world 436 00:29:34,939 --> 00:29:36,733 to have access to our vaccines. 437 00:29:36,816 --> 00:29:38,151 All the world... 438 00:29:39,819 --> 00:29:41,529 including people who can't afford it. 439 00:29:41,613 --> 00:29:44,866 That's obviously low on the list for investors. 440 00:29:45,700 --> 00:29:46,951 When you take venture capital, 441 00:29:47,035 --> 00:29:50,580 you either lose control of your company or you lose control of your vision. 442 00:29:52,123 --> 00:29:54,667 Right now, we are funding this. 443 00:29:54,751 --> 00:29:57,879 Everything up until this point has been out of our own pockets. 444 00:29:59,839 --> 00:30:01,424 We should not have been able to beat 445 00:30:01,508 --> 00:30:03,948 major pharmaceutical companies who have way more money than us 446 00:30:04,010 --> 00:30:05,595 and have way more people than us. 447 00:30:05,678 --> 00:30:08,973 But my experience in big pharmas is they typically move very slow 448 00:30:09,057 --> 00:30:10,642 and they're risk averse. 449 00:30:10,725 --> 00:30:12,811 And so, there actually aren't that many people 450 00:30:12,894 --> 00:30:14,896 as you might think working on new techniques. 451 00:30:14,979 --> 00:30:17,565 So that's worked to our advantage, but eventually, 452 00:30:17,649 --> 00:30:20,276 we are going to need to get this vaccine into human trials. 453 00:30:22,028 --> 00:30:25,365 And we are not going to be able to fund that by ourselves. 454 00:30:44,968 --> 00:30:47,679 Goochi, dear son... 455 00:30:48,638 --> 00:30:50,390 Wake up, it's seven o'clock. 456 00:30:54,686 --> 00:30:58,481 It's been 15 years since I received my MD. 457 00:31:02,652 --> 00:31:06,489 It was my family's dream to have a doctor in the family. 458 00:31:08,408 --> 00:31:10,827 We are seven sons in the family. 459 00:31:11,411 --> 00:31:14,706 They thought the first one would become a doctor, he didn't. 460 00:31:15,331 --> 00:31:16,916 Second, third, fourth... 461 00:31:17,458 --> 00:31:20,169 When it came to me, the fifth, they found some hope. 462 00:31:22,297 --> 00:31:24,048 Papa, your phone is ringing. 463 00:31:28,636 --> 00:31:30,805 Hello. Just getting ready. 464 00:31:32,223 --> 00:31:33,892 Okay, okay, bye. 465 00:31:33,975 --> 00:31:35,310 Come on, son. 466 00:31:38,313 --> 00:31:42,358 I don't know why they felt that I could become one. 467 00:31:44,694 --> 00:31:46,362 I used to be poor in studies. 468 00:31:47,322 --> 00:31:48,907 That is the truth. 469 00:31:50,158 --> 00:31:53,786 But they knew that what little I studied, I did it with all my heart. 470 00:31:59,751 --> 00:32:02,670 I'm not in this profession for money. 471 00:32:05,006 --> 00:32:07,175 I am extremely passionate about this cause. 472 00:32:27,278 --> 00:32:29,155 Yes, Nisha, how are you? 473 00:32:30,281 --> 00:32:32,200 Tell me this. 474 00:32:32,283 --> 00:32:34,994 When we admitted you to emergency three days back, 475 00:32:35,078 --> 00:32:36,579 when you'd came here from Sikar... 476 00:32:36,663 --> 00:32:38,957 how different are you feeling since then? 477 00:32:39,958 --> 00:32:41,459 A little bit. 478 00:32:49,592 --> 00:32:52,428 The problem was going on for 15 days. 479 00:32:53,930 --> 00:32:57,183 We admitted her into a hospital in our area. 480 00:32:58,059 --> 00:33:00,979 But it's not a big city, most of the people are from the villages. 481 00:33:01,062 --> 00:33:02,271 They are villagers, 482 00:33:02,355 --> 00:33:04,607 so not many people there know about this. 483 00:33:04,691 --> 00:33:10,780 Even the doctors don't know about H1N1. So they didn't test her for this. 484 00:33:13,199 --> 00:33:18,204 No one realized that it would become such a serious disease. 485 00:33:22,417 --> 00:33:25,962 The patient is not responding up to the mark which I want. 486 00:33:32,010 --> 00:33:33,130 The problem is... 487 00:33:34,387 --> 00:33:37,849 there are no facilities in the outlying areas. 488 00:33:41,102 --> 00:33:43,855 When they become seriously ill, they head for the cities. 489 00:33:43,938 --> 00:33:45,690 It is too late by then. 490 00:33:49,068 --> 00:33:52,238 Any patient who had immunity low 491 00:33:52,321 --> 00:33:55,074 is a culprit for swine flu... 492 00:33:55,783 --> 00:33:57,201 in dangerous form. 493 00:33:57,285 --> 00:33:58,285 Child... 494 00:33:59,078 --> 00:34:01,831 pregnant woman, old age. 495 00:34:02,415 --> 00:34:04,333 A patient with diabetes. 496 00:34:05,001 --> 00:34:07,086 A patient with kidney disease. 497 00:34:21,642 --> 00:34:23,202 What's troubling you? 498 00:34:23,269 --> 00:34:24,520 I'm tired. 499 00:34:24,604 --> 00:34:28,816 - What are you tired of? - I'm really tired. 500 00:34:38,576 --> 00:34:41,096 Generally, we Indians think it's a small cough, 501 00:34:41,120 --> 00:34:44,707 all you should do is take honey, lemon, turmeric and it goes away. 502 00:34:44,791 --> 00:34:48,211 But seems like it was something very different this time. 503 00:34:49,670 --> 00:34:51,339 Nobody realized it was swine flu. 504 00:34:53,716 --> 00:34:55,716 So, now the condition is guarded. 505 00:34:56,010 --> 00:34:58,054 I won't say it's good. 506 00:34:58,846 --> 00:35:00,866 His kidney and heart have also become weaker... 507 00:35:00,890 --> 00:35:02,475 Right, right. 508 00:35:02,558 --> 00:35:04,435 We will assume the situation is now serious. 509 00:35:04,519 --> 00:35:06,979 Until and unless he's in ICU, he's critical. 510 00:35:09,565 --> 00:35:12,902 At this point of time, lungs have infection, 511 00:35:12,985 --> 00:35:15,822 kidneys are not working, heart is under constant pressure. 512 00:35:16,572 --> 00:35:18,908 So, if these three vital organs are not working... 513 00:35:18,991 --> 00:35:20,910 I mean, it's really difficult. 514 00:35:20,993 --> 00:35:23,412 That's why, whatever happens, I'm outside always, 515 00:35:23,496 --> 00:35:27,083 so he feels good about it, that there's someone who's taking care. 516 00:35:27,792 --> 00:35:31,087 I have to stay here, there's no one else. I don't have a brother or a sister. 517 00:35:31,921 --> 00:35:34,006 I'm all alone, so I have to be here. 518 00:35:35,716 --> 00:35:38,302 He's an old kind of man, "I want to go home, 519 00:35:38,386 --> 00:35:40,513 I want to take a walk in the garden." 520 00:35:40,596 --> 00:35:42,056 You know, do stuff like that. 521 00:35:42,140 --> 00:35:45,268 I said, "Yes, you will be able to, but just have some time off. 522 00:35:45,351 --> 00:35:47,061 Just relax... 523 00:35:47,145 --> 00:35:49,772 and soon you will be able to do all of those." 524 00:35:51,524 --> 00:35:54,068 As long as it takes, I will be here. 525 00:36:06,998 --> 00:36:08,541 Take if off upstairs. 526 00:36:08,624 --> 00:36:10,793 Why you have a Band-Aid right here? 527 00:36:10,877 --> 00:36:13,838 - Because I got hurt. - How'd you get hurt? 528 00:36:13,921 --> 00:36:16,299 - I was bleeding. - In school? 529 00:36:16,382 --> 00:36:18,801 No, at home. 530 00:36:18,885 --> 00:36:23,764 Okay, go upstairs. I'll help you upstairs. You can't... no. We can't do it over here. 531 00:36:24,265 --> 00:36:26,934 Go upstairs. Just go upstairs. I'll put your clothes on upstairs. 532 00:36:29,145 --> 00:36:31,480 Amar, what are you doing? 533 00:36:31,564 --> 00:36:33,983 I have a three-year-old and I have a five-year-old. 534 00:36:34,066 --> 00:36:35,066 No hitting. 535 00:36:35,109 --> 00:36:36,235 It never stops. 536 00:36:38,905 --> 00:36:40,907 There are some days that are better than others 537 00:36:40,990 --> 00:36:42,950 in terms of just how I can handle it. 538 00:36:43,034 --> 00:36:45,119 What happened? What happened? 539 00:36:45,203 --> 00:36:47,923 Why don't you build something? You guys wanna build something? 540 00:36:48,247 --> 00:36:49,540 So help me build. 541 00:36:50,666 --> 00:36:53,836 And then there's other days where I'm just super exhausted, 542 00:36:53,920 --> 00:36:56,672 'cause it's just been a really long or a rough day. 543 00:36:57,673 --> 00:37:00,676 Sometimes I actually put the kids down a little earlier than I need to 544 00:37:00,760 --> 00:37:02,887 so I can just relax. 545 00:37:04,597 --> 00:37:06,182 - Mommy. - Yes. 546 00:37:08,476 --> 00:37:09,685 What are you doing? 547 00:37:11,187 --> 00:37:13,481 - Mommy, look at me. - Yes. 548 00:37:15,650 --> 00:37:18,736 I actually don't tell them exactly what I do 549 00:37:18,819 --> 00:37:22,740 and I try not to also share that with school friends or mommies, 550 00:37:22,823 --> 00:37:26,160 'cause people's fear factor kicks in first before logic. 551 00:37:26,244 --> 00:37:30,414 If they think I had any remote kind of contact with disease, 552 00:37:30,498 --> 00:37:33,125 it's like, "Don't touch me, don't come near me." 553 00:37:35,169 --> 00:37:37,713 I do this because I have a passion for it. 554 00:37:39,048 --> 00:37:41,467 I started to work in the field of bio defense, 555 00:37:41,550 --> 00:37:45,763 I did some work with FBI related to bio defense. 556 00:37:46,347 --> 00:37:48,015 My Master's thesis was on Ebola 557 00:37:48,099 --> 00:37:53,104 and then the bio threat team that I was part of in 2014 558 00:37:53,187 --> 00:37:55,606 at the Texas Department of State Health Services, 559 00:37:55,690 --> 00:37:59,110 was the team that did diagnose the very first patient. 560 00:37:59,610 --> 00:38:01,696 The patient admitted to this hospital 561 00:38:01,779 --> 00:38:04,824 has tested positive for Ebola virus 562 00:38:04,907 --> 00:38:08,744 and we're taking every step possible to manage this situation. 563 00:38:08,828 --> 00:38:10,705 No one thought at that time 564 00:38:10,788 --> 00:38:13,708 that this would ever reach the shores of the United States, 565 00:38:13,791 --> 00:38:18,337 and so, there was no active monitoring or active screening in place. 566 00:38:18,421 --> 00:38:20,261 While caring for the first patient 567 00:38:20,298 --> 00:38:21,738 to test positive for the Ebola virus 568 00:38:21,799 --> 00:38:25,094 in US soil, a Dallas nurse contracted the disease. 569 00:38:25,177 --> 00:38:27,346 And then a number of questions then arose 570 00:38:27,430 --> 00:38:30,391 of are all hospitals in the United States equipped 571 00:38:30,474 --> 00:38:32,476 and able to identify patients 572 00:38:32,560 --> 00:38:35,271 suspected with these types of special pathogens. 573 00:38:36,063 --> 00:38:37,148 Amar, I'm proud of you... 574 00:38:37,231 --> 00:38:40,735 For me, I wanna make sure from a healthcare delivery standpoint 575 00:38:40,818 --> 00:38:43,797 whether this patient's coming in with Ebola virus disease or a pandemic flu, 576 00:38:43,821 --> 00:38:46,782 they have the resources to identify these patients. 577 00:38:47,491 --> 00:38:50,703 - I want to read the night squirrel. - Okay. 578 00:38:50,786 --> 00:38:53,346 All right, how about I read Hassan's first and then I read yours. 579 00:38:53,414 --> 00:38:55,334 Okay, which one should I read in the superheroes? 580 00:38:56,709 --> 00:38:59,420 When I was part of the Ebola response team, 581 00:38:59,503 --> 00:39:01,756 we had an appreciation ceremony. 582 00:39:02,340 --> 00:39:04,425 I remember on the card someone wrote that, 583 00:39:04,508 --> 00:39:06,594 "When everybody was running away from this, 584 00:39:06,677 --> 00:39:08,077 you ran towards it. Are you crazy?" 585 00:39:08,137 --> 00:39:09,430 Like, "Ha, ha, ha." 586 00:39:09,513 --> 00:39:11,223 But I think for me, 587 00:39:11,307 --> 00:39:14,602 it really translates into helping those around me. 588 00:39:14,685 --> 00:39:16,145 He's saying to stop. 589 00:39:16,228 --> 00:39:19,190 This kid is bullying her. That's not nice to bully, right? 590 00:39:19,857 --> 00:39:21,901 And yes, I may be putting myself in harm's way, 591 00:39:21,984 --> 00:39:25,988 but this is something that I have knowledge of 592 00:39:26,072 --> 00:39:27,448 and why wouldn't I do that? 593 00:39:28,282 --> 00:39:32,119 "Whatever had changed him in that gamma ray accident must have..." 594 00:39:38,501 --> 00:39:40,961 These threats are never going to stop... 595 00:39:42,254 --> 00:39:46,842 and we need to do something about it, and that something is now. 596 00:39:46,926 --> 00:39:51,764 So, I have an upwards of ten projects happening at any given time. 597 00:39:53,766 --> 00:39:57,019 I feel like there's so much more that needs to be done. 598 00:39:59,021 --> 00:40:00,457 - Shall we cheers? - Yeah, let's cheers. 599 00:40:00,481 --> 00:40:02,161 - Start off with... - Cheers. 600 00:40:03,067 --> 00:40:04,025 In the book, I read 601 00:40:04,026 --> 00:40:05,379 you're supposed to make eye contact with everyone. 602 00:40:06,362 --> 00:40:08,739 - I did, I read the book. - What? 603 00:40:09,532 --> 00:40:11,385 We haven't been eating very much of the food. 604 00:40:11,409 --> 00:40:13,077 You guys need to do a better job. 605 00:40:13,160 --> 00:40:15,889 Sometimes, when I get home from work, I don't wanna follow recipes anymore. 606 00:40:15,913 --> 00:40:17,766 I'm just like, "Fuck it. I follow protocols all day." 607 00:40:17,790 --> 00:40:20,751 I just wanna make some stuff up and see what happens. 608 00:40:21,544 --> 00:40:23,230 This is basically what you've been working on 609 00:40:23,254 --> 00:40:25,464 the entire time we've known you, then. 610 00:40:25,548 --> 00:40:29,802 Yeah, and we could have a human vaccine ready by 2025. 611 00:40:29,885 --> 00:40:31,965 We just need the money, 'cause the ferret study alone 612 00:40:32,012 --> 00:40:33,556 is like over a million dollars. 613 00:40:34,181 --> 00:40:36,100 Have you thought about crowd funding? 614 00:40:36,183 --> 00:40:37,643 I have not thought about it. 615 00:40:37,726 --> 00:40:41,522 My understanding was that crowd funding doesn't get you that much money, 616 00:40:41,605 --> 00:40:43,399 but maybe I'm wrong. 617 00:40:43,482 --> 00:40:46,082 There's a lot of people in the world that are affected by the flu. 618 00:40:46,777 --> 00:40:48,404 - Yeah. - That's true. 619 00:40:50,156 --> 00:40:52,533 The thing is, for flu, we really haven't seen anything 620 00:40:52,616 --> 00:40:55,411 in our lifetimes, or in our parents' lifetimes, 621 00:40:55,494 --> 00:40:58,789 or even in our grandparents', but the next flu pandemic is... 622 00:40:59,373 --> 00:41:00,833 probably on the horizon. 623 00:41:00,916 --> 00:41:03,002 We don't know if it will happen to us or our kids, 624 00:41:03,085 --> 00:41:04,962 but it will eventually happen. 625 00:41:05,045 --> 00:41:08,340 It's scary 'cause in 1918, 626 00:41:08,424 --> 00:41:12,303 it killed over 50 million people, but we didn't even have planes, 627 00:41:12,386 --> 00:41:13,738 and we didn't have people traveling 628 00:41:13,762 --> 00:41:15,973 from Asia to North America on a daily basis, 629 00:41:16,056 --> 00:41:17,308 we didn't have factory farms 630 00:41:17,391 --> 00:41:19,685 with thousands of pigs and thousands of chickens. 631 00:41:19,768 --> 00:41:21,020 But now we do. 632 00:41:21,103 --> 00:41:23,856 So, it could be hundreds of millions of people 633 00:41:23,939 --> 00:41:25,483 that would die from the next pandemic 634 00:41:25,566 --> 00:41:29,361 if it were as contagious as the H1N1 in 1918. 635 00:41:31,530 --> 00:41:33,115 Anyone want more wine? 636 00:41:35,284 --> 00:41:36,744 No. 637 00:41:37,244 --> 00:41:40,122 You said it was two million dollars. 638 00:41:40,206 --> 00:41:41,916 - That's all you guys need? - Yeah. 639 00:41:41,999 --> 00:41:43,584 Robyn can send that to you. 640 00:41:44,376 --> 00:41:48,005 - No, I don't. I'm just saying... - I got my checkbook. 641 00:41:48,088 --> 00:41:51,842 So, my company just announced our Series D yesterday. 642 00:41:51,926 --> 00:41:53,606 - Yeah. - We got a billion dollars. 643 00:41:53,636 --> 00:41:57,014 - Holy shit. - A billion dollars, like, "Okay." 644 00:41:57,097 --> 00:42:00,017 We wanna maintain full ownership, so we have to get government grants, 645 00:42:00,100 --> 00:42:01,727 or like... 646 00:42:01,810 --> 00:42:04,730 non-profit foundation grants, like through the Gates Foundation. 647 00:42:04,813 --> 00:42:06,774 So, you partnered with this foundation, 648 00:42:06,857 --> 00:42:08,817 Bill and Melinda Gates Foundation, 649 00:42:08,901 --> 00:42:10,653 - and they said yes? - Yeah, well, we... 650 00:42:10,736 --> 00:42:13,989 We applied for a grant and we've been waiting to hear back. 651 00:42:16,325 --> 00:42:19,537 Epidemiologists show through their models 652 00:42:19,620 --> 00:42:23,832 that a respiratory-spread pathogen would kill more than 30 million people 653 00:42:23,916 --> 00:42:25,751 in less than a year. 654 00:42:25,834 --> 00:42:29,255 And there is a reasonable probability of that taking place. 655 00:42:30,339 --> 00:42:32,758 Research into a universal flu vaccine 656 00:42:32,841 --> 00:42:35,219 just got a big boost, thanks to Bill Gates. 657 00:42:35,302 --> 00:42:39,181 The Bill and Melinda Gates Foundation is partnering with the CEO of Alphabet 658 00:42:39,265 --> 00:42:41,892 to establish a $12 million fund for research 659 00:42:41,976 --> 00:42:44,395 into a universal flu vaccine. 660 00:42:44,478 --> 00:42:46,355 He says the vaccine is needed to help combat 661 00:42:46,438 --> 00:42:48,691 possible future pandemics. 662 00:42:49,775 --> 00:42:53,779 The Gates Foundation has an amazing record trying to help global populations... 663 00:42:54,363 --> 00:42:57,324 and they would enable communities that can't pay for it 664 00:42:57,408 --> 00:42:58,909 to be able to be beneficiaries. 665 00:43:01,036 --> 00:43:04,748 I am trying not to sit on pins and needles to wait to hear the results. 666 00:43:05,708 --> 00:43:08,460 It's cool stuff, so I think they're really interested in it. 667 00:43:08,544 --> 00:43:10,087 It's just... 668 00:43:10,170 --> 00:43:12,172 It's taking a long time to hear back. 669 00:43:12,965 --> 00:43:15,525 - Should we cheers? - Yeah, let's cheers again. 670 00:43:33,319 --> 00:43:35,529 Jefferson County Hospital, how can I help you? 671 00:43:35,613 --> 00:43:38,115 I'm just answering the phone 'cause all my girls are... 672 00:43:38,198 --> 00:43:39,658 They've got their hands busy. 673 00:43:51,879 --> 00:43:53,797 So, Jefferson County Hospital, where I work, 674 00:43:53,881 --> 00:43:56,175 is in a rural setting. 675 00:43:57,259 --> 00:44:00,679 We have about eight to nine thousand people in the county. 676 00:44:02,514 --> 00:44:05,184 Their access to healthcare is limited. 677 00:44:05,726 --> 00:44:10,272 The closest other hospital is 35 to 40 minutes away. 678 00:44:13,817 --> 00:44:16,820 Any barrier to care and care gets lessened. 679 00:44:18,113 --> 00:44:21,825 And if you have to travel an hour to get healthcare, 680 00:44:21,909 --> 00:44:24,286 people are gonna say, "I'd rather not." 681 00:44:25,704 --> 00:44:27,831 Do you wanna play the ring toss game with me? 682 00:44:27,915 --> 00:44:30,125 - Why not? - They're gonna get me right here. 683 00:44:30,209 --> 00:44:31,502 No, listen, listen, listen. 684 00:44:31,585 --> 00:44:33,688 It's gonna feel just like a little pinch, just like that. 685 00:44:37,091 --> 00:44:39,635 I don't want a shot! I don't want a shot! 686 00:44:39,718 --> 00:44:40,737 I will... I will... 687 00:44:40,761 --> 00:44:45,641 When October, November come, then I begin to think, "Okay, here we go." 688 00:44:45,724 --> 00:44:48,769 We're gonna be busier and we're gonna be having sicker patients. 689 00:44:49,603 --> 00:44:51,081 Okay, let's got see what they gotta do. 690 00:44:51,105 --> 00:44:53,291 - I don't want any shot. - You're not getting any shots 691 00:44:53,315 --> 00:44:55,442 or no pinches. I promise, okay? 692 00:44:55,526 --> 00:44:58,862 - You have a seat and wait for Mommy... - I don't want to... 693 00:44:58,946 --> 00:45:01,281 By the 13th of January last year, 694 00:45:01,365 --> 00:45:04,702 we'd already had over 70 Oklahomans that had passed away from the flu. 695 00:45:05,994 --> 00:45:07,663 Seventy people. 696 00:45:07,746 --> 00:45:11,959 That is a lot of folks that died from an illness that could be prevented 697 00:45:12,042 --> 00:45:16,171 with a vaccine or that could be prevented with good hand hygiene 698 00:45:16,255 --> 00:45:19,383 or if the patient knew to come in earlier 699 00:45:19,466 --> 00:45:22,886 and they didn't just say, "Well, I just have the flu." 700 00:45:22,970 --> 00:45:26,014 And then they die from "just the flu." That's just tragic. 701 00:45:26,098 --> 00:45:28,600 - Stop! - I don't wanna get a shot! 702 00:45:32,146 --> 00:45:35,232 I know. Do I look somebody that will hurt you? 703 00:45:35,733 --> 00:45:38,777 - I really don't want a shot! - I know. I know. 704 00:45:39,570 --> 00:45:41,780 You ready for it, you want us to do it, momma? 705 00:45:41,864 --> 00:45:43,490 - Thank you, doctor. - Uh-huh. 706 00:45:44,158 --> 00:45:46,827 Going into the flu season this year, 707 00:45:46,910 --> 00:45:49,997 what I have in my mind is, "It's gonna be like last year." 708 00:45:50,080 --> 00:45:54,251 The CDC is calling this the worst flu outbreak in eight years 709 00:45:54,334 --> 00:45:56,462 and if you've had the flu already, 710 00:45:56,545 --> 00:45:59,173 guess what, there's a good chance you could get it again. 711 00:45:59,256 --> 00:46:01,484 Can you believe that? We are nearing record breaking numbers 712 00:46:01,508 --> 00:46:03,695 in the state of Oklahoma when it comes to flu-related deaths. 713 00:46:06,180 --> 00:46:07,765 - On that side? Okay. - Mmm-hmm. 714 00:46:08,348 --> 00:46:12,311 Even one death in a tiny town like ours is a pretty big deal. 715 00:46:12,394 --> 00:46:14,188 Take another deep breath. 716 00:46:16,774 --> 00:46:20,235 I don't want to lose a patient to the flu. 717 00:46:50,766 --> 00:46:52,017 Sit up, ma'am. 718 00:46:57,606 --> 00:47:00,025 Are you feeling good overall? 719 00:47:00,692 --> 00:47:03,487 See, your oxygen requirement... 720 00:47:03,570 --> 00:47:05,381 - Was this connected last night? - No, sir. 721 00:47:05,405 --> 00:47:06,406 It wasn't connected. 722 00:47:06,490 --> 00:47:08,092 The ventilator was not connected all night. 723 00:47:08,116 --> 00:47:10,160 Before, you couldn't stay without it at night. 724 00:47:10,244 --> 00:47:11,662 There was no need for it now. 725 00:47:11,745 --> 00:47:15,249 Oxygen was running at ten liters before, now it is at one liter. 726 00:47:15,332 --> 00:47:18,126 I don't think you have any problem breathing now. 727 00:47:18,210 --> 00:47:20,379 How much less is your coughing than before? 728 00:47:22,130 --> 00:47:23,757 - Huh? - I only cough at night. 729 00:47:23,841 --> 00:47:27,302 Only at night, just a little, but not as much as before. 730 00:47:27,386 --> 00:47:29,388 Do you want to shift into a ward today? 731 00:47:30,138 --> 00:47:32,391 You are getting bored here all by yourself. 732 00:47:32,474 --> 00:47:36,728 In the ward, you will talk to others, converse with them, you will not be bored. 733 00:47:39,815 --> 00:47:41,483 We are shifting her to the ward. 734 00:47:41,567 --> 00:47:43,986 Now, there is no requirement of ICU. 735 00:47:44,069 --> 00:47:46,655 If God will feel so, she will be home in one to two days. 736 00:47:54,079 --> 00:48:00,711 I feel a great joy easing the suffering of others. 737 00:48:02,588 --> 00:48:05,424 If I can save a patient's life, 738 00:48:05,507 --> 00:48:08,302 and if I bring tears of joy to their mother, 739 00:48:08,385 --> 00:48:12,222 that is the most priceless thing for me. 740 00:48:26,486 --> 00:48:28,155 But these are complicated cases... 741 00:48:29,615 --> 00:48:32,326 When the body is not responding to any treatment. 742 00:49:04,191 --> 00:49:06,652 Often, in the 15 years of my professional life... 743 00:49:08,153 --> 00:49:10,405 when a patient of mine did not survive... 744 00:49:11,782 --> 00:49:13,742 I have wept for them. 745 00:49:16,286 --> 00:49:21,083 The sadness I feel when I lose a patient is more than the happiness of saving ten. 746 00:49:29,174 --> 00:49:30,174 Hello. 747 00:49:32,177 --> 00:49:36,223 I never switch off my mobile for even a second in 24 hours. 748 00:49:37,891 --> 00:49:39,309 Never. 749 00:49:40,310 --> 00:49:43,030 Only a person who has lost a patient will understand this. 750 00:49:43,855 --> 00:49:47,067 Even if others don't like it, including my wife, 751 00:49:47,150 --> 00:49:49,027 or my kids, I don't care. 752 00:49:55,367 --> 00:49:57,869 There is still no respite from swine flu. 753 00:49:59,788 --> 00:50:03,417 Alarming rise in the number of swine flu cases. 754 00:50:03,500 --> 00:50:07,129 Over 9,000 people have tested positive for swine flu across India 755 00:50:07,212 --> 00:50:09,423 with 86 casualties last week. 756 00:50:09,506 --> 00:50:12,676 The death toll has now jumped to 312. 757 00:50:12,759 --> 00:50:15,804 The numbers are staggering, over 9,000 people are affected, 758 00:50:15,887 --> 00:50:18,432 which means that once it reaches that level again, 759 00:50:18,515 --> 00:50:20,934 the spread will be that much faster. 760 00:50:21,560 --> 00:50:26,398 According to the CDC, last flu season killed 180 children. 761 00:50:26,982 --> 00:50:29,776 One of the worst flu seasons in recent memory, 762 00:50:29,860 --> 00:50:33,071 this new season ushers in one big question. 763 00:50:33,155 --> 00:50:35,073 Are we in for a repeat? 764 00:50:35,157 --> 00:50:38,827 And everything indicates that this upcoming flu season, 765 00:50:38,910 --> 00:50:41,329 it's gonna be worse than usual. 766 00:50:41,413 --> 00:50:43,457 As we've seen various flu scares, 767 00:50:43,540 --> 00:50:45,584 we haven't had a super good response. 768 00:50:46,626 --> 00:50:49,755 And it's pretty surprising how little preparedness there is for it. 769 00:50:51,465 --> 00:50:55,677 Fortunately, there's some amazing people who dedicate their life to this. 770 00:50:56,845 --> 00:51:00,098 Like all global problems, it's not easy to solve. 771 00:51:00,182 --> 00:51:04,853 But this is the greatest risk, and we're not ready. 67939

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