All language subtitles for Americas Book of Secrets s04e10 Deadly Pandemics

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (SoranĂ®)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,710 --> 00:00:07,850 Deadly diseases that strike without warning and spread across the planet. 2 00:00:08,029 --> 00:00:11,250 The Black Death killed millions upon millions of people. 3 00:00:11,550 --> 00:00:13,910 Almost like a zombie death. 4 00:00:14,470 --> 00:00:18,590 Lethal biological weapons of mass destruction. 5 00:00:19,690 --> 00:00:26,450 Anthrax, botulism, tularemia, I call them the chess pieces of doom, and 6 00:00:26,450 --> 00:00:27,790 mysterious viruses. 7 00:00:28,810 --> 00:00:31,610 that may rival the worst plagues in history. 8 00:00:32,090 --> 00:00:35,710 Hopefully, we'll conquer whatever happens together. 9 00:00:37,050 --> 00:00:42,790 Throughout human history, deadly pandemics have arisen, devastating local 10 00:00:42,790 --> 00:00:47,650 populations before spreading across the entire world, crippling economies, 11 00:00:48,170 --> 00:00:52,090 destroying societies, and leaving mass death in their wake. 12 00:00:52,850 --> 00:00:56,090 Are these global pandemics simply acts of God? 13 00:00:56,620 --> 00:00:58,920 caused by natural forces beyond our control? 14 00:00:59,540 --> 00:01:05,099 Or does mankind bear much of the blame, as well as hold the key to the ultimate 15 00:01:05,099 --> 00:01:06,100 cure? 16 00:01:06,700 --> 00:01:13,240 Perhaps the truth can be found in America's book of secrets. 17 00:01:30,800 --> 00:01:32,940 March 11th, 2020. 18 00:01:34,240 --> 00:01:40,120 The World Health Organization announces that the outbreak of COVID -19, also 19 00:01:40,120 --> 00:01:44,660 known as the novel coronavirus, has become a global pandemic. 20 00:01:47,720 --> 00:01:53,160 As the number of cases and deaths caused by the lethal virus surge higher and 21 00:01:53,160 --> 00:02:00,030 higher, day after day, countries around the world struggle to provide 22 00:02:00,030 --> 00:02:04,270 care for the unprecedented wave of patients that need treatment. 23 00:02:05,350 --> 00:02:11,610 The COVID -19 pandemic is honestly the biggest public health emergency of our 24 00:02:11,610 --> 00:02:16,050 lifetime. And it has been sobering to see how quickly a disease like that can 25 00:02:16,050 --> 00:02:17,070 spread around the world. 26 00:02:18,390 --> 00:02:23,030 When I go to work and I see a line outside of the emergency department, 27 00:02:23,030 --> 00:02:28,350 there's not enough ICU nurses, respiratory therapists, even medication, 28 00:02:29,100 --> 00:02:33,380 to help the patients who are suffering from novel coronavirus. 29 00:02:35,220 --> 00:02:40,560 The hospitals become overwhelmed, and so patients who needed the care for COVID 30 00:02:40,560 --> 00:02:45,260 may not get the best care. And in addition, all the other patients who 31 00:02:45,260 --> 00:02:46,760 may not be cared for appropriately. 32 00:02:48,340 --> 00:02:52,520 When a pandemic starts, so many people are going to be infected. 33 00:02:53,320 --> 00:02:56,400 And unfortunately, many people will suffer and die. 34 00:02:57,160 --> 00:03:04,080 So being on the front line, I realized what a pandemic can do to 35 00:03:04,080 --> 00:03:06,440 so many people, my colleagues and myself. 36 00:03:07,700 --> 00:03:14,300 By October of 2020, more than one million people had died from COVID -19 37 00:03:14,300 --> 00:03:18,780 worldwide, making it the worst pandemic in more than a century. 38 00:03:19,780 --> 00:03:24,620 The devastation caused by this disease is a sobering reminder of the dire 39 00:03:24,620 --> 00:03:26,570 threat. posed by viruses. 40 00:03:29,830 --> 00:03:35,990 A virus is an intracellular parasite that enters the host and 41 00:03:35,990 --> 00:03:42,710 basically hijacks the host cell's machinery to create more viral proteins 42 00:03:42,710 --> 00:03:46,270 and more viral particles and spreads itself that way. 43 00:03:48,090 --> 00:03:54,190 They take over our cells, they use our own bodies to reproduce, and then... 44 00:03:54,490 --> 00:03:57,730 They'll cause destruction in many of the organs in our body. 45 00:03:58,270 --> 00:04:01,410 With COVID -19, we're dealing with something completely new. 46 00:04:01,610 --> 00:04:04,690 And so I think there's a lot of lessons learned we have here. 47 00:04:04,950 --> 00:04:09,530 I think we learned how important it is to have rapid diagnostics. 48 00:04:09,950 --> 00:04:14,890 I wrote an article not too long ago about the military battlefield lessons. 49 00:04:15,170 --> 00:04:17,329 We talk about the war against COVID. 50 00:04:17,589 --> 00:04:21,170 You need to have intelligence preparation in the battlefield. You need 51 00:04:21,170 --> 00:04:22,430 what's the battle space. 52 00:04:23,340 --> 00:04:27,900 Entire U .S. is a battle space. You need to deny the enemy, conceal and cover. 53 00:04:28,100 --> 00:04:30,720 How do you do that? You do that with diagnostics. 54 00:04:31,980 --> 00:04:37,680 As the COVID -19 virus raged across the globe and nations joined in an 55 00:04:37,680 --> 00:04:42,560 unprecedented effort to contain it, the answer to one daunting question proved 56 00:04:42,560 --> 00:04:44,960 both mysterious and elusive. 57 00:04:45,920 --> 00:04:49,260 Just exactly where did this virus come from? 58 00:04:50,570 --> 00:04:55,730 The best science that we have says that the virus that causes COVID -19 probably 59 00:04:55,730 --> 00:04:59,830 started in animals somewhere in China. 60 00:05:00,110 --> 00:05:02,910 Might have been a bat, might have been some other type of animal. 61 00:05:04,190 --> 00:05:09,650 It was very likely, in my opinion, that this virus came probably from a bat, 62 00:05:09,770 --> 00:05:12,930 because we know there are multiple coronaviruses that circulate in bats. 63 00:05:13,710 --> 00:05:18,370 And then from there, it went to humans and person -to -person spread and then 64 00:05:18,370 --> 00:05:19,370 amplified. 65 00:05:19,920 --> 00:05:25,100 I think actually what would help to solve this mystery is really to have an 66 00:05:25,100 --> 00:05:31,480 international unbiased team that actually goes to try to trace back the 67 00:05:31,480 --> 00:05:34,280 of the virus back to that first patient zero. 68 00:05:35,160 --> 00:05:39,260 And that's the best way to solve this mystery. But we'll have to see whether 69 00:05:39,260 --> 00:05:40,280 that'll ever happen. 70 00:05:41,200 --> 00:05:46,240 Most human diseases that we're worried about actually start in animals. 71 00:05:47,260 --> 00:05:51,220 Some deadly viruses that infect humans that have animal origins are Ebola, 72 00:05:51,660 --> 00:05:58,580 smallpox, influenza, the virus that causes COVID -19, rabies, 73 00:05:58,660 --> 00:06:04,340 Nipah virus, which causes encephalitis in some parts of the world, and 74 00:06:04,480 --> 00:06:05,520 the list goes on and on. 75 00:06:06,540 --> 00:06:11,940 Despite the opinions of some that COVID -19 spread from animals to humans, 76 00:06:12,360 --> 00:06:18,750 numerous experts, including Robert Redfield, the former head of the CDC, 77 00:06:18,750 --> 00:06:23,210 begun to speculate that it may have escaped from an experimental lab in 78 00:06:23,330 --> 00:06:24,330 China. 79 00:06:24,490 --> 00:06:29,830 If that is the case, then just how could such a disastrous event occur? 80 00:06:31,070 --> 00:06:36,690 There are four ways a pathogen could escape, quote, unquote, escape a lab. 81 00:06:37,210 --> 00:06:42,890 The first would be through some type of aerosol release through one of the vents 82 00:06:42,890 --> 00:06:43,890 into the atmosphere. 83 00:06:44,920 --> 00:06:50,560 The second is if an animal were infected and then somehow got out of the lab. 84 00:06:50,980 --> 00:06:56,720 A third way would be if someone were intentionally to try to steal something 85 00:06:56,720 --> 00:06:57,720 take it out of the lab. 86 00:06:58,080 --> 00:07:02,620 And then the fourth is that someone who's working in the laboratory gets 87 00:07:02,620 --> 00:07:06,680 inadvertently infected and then they go out into the community not realizing 88 00:07:06,680 --> 00:07:10,180 they're potentially contagious, they get ill, they can spread it. 89 00:07:11,440 --> 00:07:12,700 Washington, D .C. 90 00:07:13,340 --> 00:07:15,460 October 2nd, 2020. 91 00:07:16,580 --> 00:07:22,940 President Donald J. Trump tests positive for COVID -19, joining a growing list 92 00:07:22,940 --> 00:07:26,220 of world leaders infected by the potentially deadly virus. 93 00:07:27,460 --> 00:07:33,260 Although President Trump recovers within 10 days, his exposure demonstrates the 94 00:07:33,260 --> 00:07:36,120 grave risk that disease has posed to heads of state. 95 00:07:37,160 --> 00:07:40,520 And in fact, national security experts. 96 00:07:41,260 --> 00:07:48,140 are increasingly concerned about the threat of pandemics being used as 97 00:07:48,140 --> 00:07:54,660 weapons. A bioweapon is an infectious disease agent like a bacteria or a virus 98 00:07:54,660 --> 00:07:59,140 that somebody chooses to use for what I call nefarious purposes. 99 00:07:59,840 --> 00:08:05,240 So it's something that they might grow and then try to expose people to either 100 00:08:05,240 --> 00:08:07,520 to cause fear and panic or to get people sick. 101 00:08:08,170 --> 00:08:14,050 There are certain properties that some pathogens have that lend themselves more 102 00:08:14,050 --> 00:08:18,570 favorably to serving as a weapon. So something that's available, something 103 00:08:18,570 --> 00:08:23,150 could be grown up in large quantities, something stable in the environment such 104 00:08:23,150 --> 00:08:28,470 that it can be released over a large population, whether it's a battlefield 105 00:08:28,470 --> 00:08:29,470 city environment. 106 00:08:32,090 --> 00:08:35,450 The CDC calls them the Category A threat agents. 107 00:08:35,929 --> 00:08:37,650 Things like anthrax. 108 00:08:38,059 --> 00:08:44,940 botulism, plague, tularemia, smallpox, and viral hemorrhagic fevers. I 109 00:08:44,940 --> 00:08:49,160 call them the chess pieces of doom. The case fatality rates for these different 110 00:08:49,160 --> 00:08:54,320 category A agents range from tularemia with about 30 % death rate up to 111 00:08:54,320 --> 00:08:58,440 something like Ebola, which is 90 % fatal without countermeasures. 112 00:08:59,740 --> 00:09:03,620 Smallpox is a really interesting bioweapon because smallpox has been 113 00:09:03,740 --> 00:09:07,760 It doesn't occur naturally anymore, but we also have a population of people who 114 00:09:07,760 --> 00:09:10,920 really have never been vaccinated against it, and that makes us really 115 00:09:10,920 --> 00:09:15,820 vulnerable. So smallpox is probably my number one worry, and then anthrax is my 116 00:09:15,820 --> 00:09:20,160 number two because there has been a previous bioterrorism event in the U .S. 117 00:09:20,160 --> 00:09:21,160 involving anthrax. 118 00:09:21,860 --> 00:09:27,080 In 2001, there was a bioterrorism attack on U .S. soil. 119 00:09:29,580 --> 00:09:34,300 spread in letters that were sent to the U .S. Post Office, and they got a lot of 120 00:09:34,300 --> 00:09:35,300 people sick. 121 00:09:37,220 --> 00:09:42,620 But just how likely is the prospect of a devastating virus being used as a 122 00:09:42,620 --> 00:09:43,620 bioweapon? 123 00:09:44,120 --> 00:09:48,820 There are those who claim that not only is it possible, but that it already 124 00:09:48,820 --> 00:09:54,580 happened centuries ago, during the deadliest pandemic in recorded history. 125 00:10:01,610 --> 00:10:03,750 May 26, 2021. 126 00:10:04,270 --> 00:10:06,610 The Democratic Republic of Congo. 127 00:10:07,690 --> 00:10:12,470 Health officials report that 11 victims have died from the bubonic plague. 128 00:10:14,450 --> 00:10:18,950 The government moves quickly to contain the outbreak, providing the sick with 129 00:10:18,950 --> 00:10:19,970 powerful antibiotics. 130 00:10:20,410 --> 00:10:25,850 A treatment that didn't exist 700 years ago, when the disease touched off the 131 00:10:25,850 --> 00:10:27,670 worst pandemic in history. 132 00:10:30,410 --> 00:10:34,050 The Black Death is really the pandemic that eclipses all others. 133 00:10:34,370 --> 00:10:38,410 I mean, it killed millions upon millions of people in medieval Europe beginning 134 00:10:38,410 --> 00:10:39,410 in the 14th century. 135 00:10:39,910 --> 00:10:45,330 The Black Death lasted from about 1347 to 136 00:10:45,330 --> 00:10:48,090 1349, 1350. 137 00:10:49,170 --> 00:10:51,750 Roughly a third of the European population died. 138 00:10:52,230 --> 00:10:53,870 Italy was devastated. 139 00:10:54,810 --> 00:10:55,810 England was. 140 00:10:56,410 --> 00:10:57,430 France was. 141 00:10:58,520 --> 00:11:04,340 The stories behind it just, they send chills up my spine. It almost sounds 142 00:11:04,340 --> 00:11:06,440 an episode of zombie death. 143 00:11:07,000 --> 00:11:11,620 Big, orange, like balls on their hands and arms. 144 00:11:12,860 --> 00:11:14,580 The fingers were green. 145 00:11:15,480 --> 00:11:19,560 We know now that this was something called Yersinia pestis. 146 00:11:19,960 --> 00:11:21,200 This is a bacteria. 147 00:11:22,460 --> 00:11:26,320 So it's easy for me to say now, it's Yersinia pestis. 148 00:11:26,940 --> 00:11:28,040 They didn't know that back then. 149 00:11:29,620 --> 00:11:33,840 Despite not understanding the exact mechanism by which the disease spread, 150 00:11:34,060 --> 00:11:39,040 people in the Middle Ages sensed that the Black Death could afflict anyone who 151 00:11:39,040 --> 00:11:40,420 came into contact with it. 152 00:11:41,640 --> 00:11:46,120 This knowledge gave rise to one of the earliest known examples of personal 153 00:11:46,120 --> 00:11:49,720 protective equipment, or PPE. 154 00:11:52,680 --> 00:11:59,500 The plague doctor outfit was essentially a medieval hazmat suit. It had a 155 00:11:59,500 --> 00:12:06,180 kind of very hard covering so that the doctor wouldn't be sprayed with bodily 156 00:12:06,180 --> 00:12:13,140 fluids. And then there was a beak, which was filled with flowers or 157 00:12:13,140 --> 00:12:19,580 herbs or anything that smelled nice to keep the stench of death away from the 158 00:12:19,580 --> 00:12:21,920 doctor, with the idea being that... 159 00:12:22,270 --> 00:12:27,850 bad smells or miasma is really what was causing people to get sick. 160 00:12:28,110 --> 00:12:31,310 It was the best hypothesis they had. 161 00:12:31,750 --> 00:12:37,870 The Black Death, now known as the Bubonic Plague, has been studied by 162 00:12:37,870 --> 00:12:42,530 and scientists for centuries in order to better understand its destructive 163 00:12:42,530 --> 00:12:43,530 power. 164 00:12:44,230 --> 00:12:48,870 And it's a power that was actually unleashed on a medieval battlefield. 165 00:12:49,580 --> 00:12:53,820 becoming one of the earliest known forms of biological warfare. 166 00:12:57,260 --> 00:13:00,380 Khafa, Crimea, 1346. 167 00:13:06,720 --> 00:13:12,800 For three years, this port city on the Black Sea, part of the Republic of 168 00:13:12,980 --> 00:13:16,380 was under siege from Mongolian Tartar invaders. 169 00:13:17,240 --> 00:13:21,640 This is an old walled city, And inside the city were Genoese. 170 00:13:22,180 --> 00:13:25,920 And Tatar invaders came and laid siege to the city. 171 00:13:26,140 --> 00:13:30,760 They surrounded the city. But then there was an outbreak, a plague amongst the 172 00:13:30,760 --> 00:13:31,880 Tatar ranks. 173 00:13:32,680 --> 00:13:36,120 The Mongol population was starting to get very sick. 174 00:13:36,660 --> 00:13:43,580 And whether this is a form of biochemical warfare, psychological 175 00:13:43,980 --> 00:13:48,220 both, what they ended up doing was... 176 00:13:49,390 --> 00:13:54,710 catapulting the corpses of their people over the walls of Caffa and landing on 177 00:13:54,710 --> 00:13:56,370 the Genoese people repeatedly. 178 00:13:57,610 --> 00:14:01,430 And the Genoese defenders eventually started having their own outbreaks of 179 00:14:01,430 --> 00:14:02,430 plague within the city. 180 00:14:02,910 --> 00:14:06,690 The Black Death was actually used as kind of an early bioweapon. That would 181 00:14:06,690 --> 00:14:11,250 actually incredibly efficient because the town under siege is a place where 182 00:14:11,250 --> 00:14:12,450 people packed very closely together. 183 00:14:13,170 --> 00:14:17,530 So that disease could spread from dead bodies and spread to the defenders. 184 00:14:18,990 --> 00:14:24,270 The use of the black death in warfare underscores the deadly potential of a 185 00:14:24,270 --> 00:14:26,790 pandemic being utilized as a bioweapon. 186 00:14:27,770 --> 00:14:33,270 And today in the United States, it is a scenario that some believe the federal 187 00:14:33,270 --> 00:14:35,030 government must be ready for. 188 00:14:35,830 --> 00:14:37,910 Now more than ever. 189 00:14:38,810 --> 00:14:42,990 If we had a very, very severe pandemic, one that was extremely deadly, much more 190 00:14:42,990 --> 00:14:45,090 so than we'll be faced with COVID -19. 191 00:14:45,790 --> 00:14:48,850 The continuity of government would be one of the biggest questions we'd have 192 00:14:48,850 --> 00:14:54,170 face. The continuity of government apparatus is gigantic. We don't see it, 193 00:14:54,170 --> 00:15:00,850 it's made up of the airplanes and the bunkers and the procedures for moving 194 00:15:00,850 --> 00:15:06,530 successors to the presidency and the communication systems that nets it all 195 00:15:06,530 --> 00:15:07,530 together. 196 00:15:08,000 --> 00:15:14,920 It's a multi -billion dollar a year operation, but that operation has really 197 00:15:14,920 --> 00:15:19,420 been created to deal with two very distinct scenarios. 198 00:15:20,860 --> 00:15:25,520 Nuclear war or a terrorist attack on Washington. That's it. 199 00:15:26,760 --> 00:15:32,000 And so when coronavirus came along, I think that the people behind continuity 200 00:15:32,000 --> 00:15:33,980 government didn't quite know what to do. 201 00:15:35,290 --> 00:15:38,450 whole model had to basically be thrown away. 202 00:15:38,910 --> 00:15:43,230 If members of Congress got sick, if the president or the vice president got 203 00:15:43,230 --> 00:15:47,350 sick, if the successors to the presidency under the Constitution were 204 00:15:47,350 --> 00:15:49,570 unavailable, what exactly were the rules? 205 00:15:50,010 --> 00:15:54,970 It will be very interesting as we move forward in the world of emergency 206 00:15:54,970 --> 00:16:01,030 preparedness and continuity of government, whether they deal with a 207 00:16:01,030 --> 00:16:02,370 a very different way. 208 00:16:03,590 --> 00:16:06,050 That's the challenge of the future. 209 00:16:08,110 --> 00:16:12,030 What would happen if a pandemic were to strike down a country's leader? 210 00:16:12,390 --> 00:16:14,250 Could it change the course of history? 211 00:16:15,270 --> 00:16:18,730 Some historians argue that it has already happened. 212 00:16:19,230 --> 00:16:23,470 It helped to sow the seeds for the greatest war the world has ever known. 213 00:16:29,870 --> 00:16:31,050 Breivik Mission, Alaska. 214 00:16:31,820 --> 00:16:32,820 1997. 215 00:16:34,140 --> 00:16:39,580 Pathologist Dr. Johan Hulten excavates an indigenous village graveyard, 216 00:16:39,760 --> 00:16:43,360 searching for something that has eluded scientists for decades. 217 00:16:43,840 --> 00:16:50,780 The cause of the 1918 influenza pandemic, also known as the 218 00:16:50,780 --> 00:16:51,820 Spanish flu. 219 00:16:53,900 --> 00:16:57,440 Johan Hulten had heard about... 220 00:16:57,920 --> 00:17:02,160 a town about 80 miles outside of Nome in Alaska called Brevik Mission. 221 00:17:02,660 --> 00:17:09,060 And it had had a population of about 80, of which almost all of them had been 222 00:17:09,060 --> 00:17:10,720 killed from the 1918 flu. 223 00:17:11,819 --> 00:17:18,780 So he got the approval to disinter some of the bodies in the hopes 224 00:17:18,780 --> 00:17:24,440 that the permafrost had preserved the flu virus and that they could research 225 00:17:25,060 --> 00:17:27,060 And he found the corpse. 226 00:17:27,560 --> 00:17:32,680 of a woman who had been morbidly obese. 227 00:17:33,040 --> 00:17:39,840 But it was, in fact, not the permafrost that preserved the virus, but 228 00:17:39,840 --> 00:17:42,060 her fat storage. 229 00:17:43,940 --> 00:17:48,960 They removed some of that lung tissue, and from that they were able to then 230 00:17:48,960 --> 00:17:53,720 that to the CDC where we were able to understand it better, sequence the 231 00:17:53,760 --> 00:17:56,200 that is, understand the genetic code of that virus. 232 00:17:57,390 --> 00:18:02,890 After successfully sequencing the virus that caused the Spanish flu, scientists 233 00:18:02,890 --> 00:18:08,210 were finally able to unlock the secrets of the most severe pandemic of the 20th 234 00:18:08,210 --> 00:18:09,210 century. 235 00:18:09,870 --> 00:18:15,550 So the virus was able to reproduce itself very quickly and make the host 236 00:18:15,550 --> 00:18:20,130 very quickly as well, and also very readily pass between people. 237 00:18:20,900 --> 00:18:25,500 But there was no one sort of magic bullet, I guess, if you will, that made 238 00:18:25,500 --> 00:18:29,500 incredibly powerful. In fact, it was more like a perfect storm of all these 239 00:18:29,500 --> 00:18:34,060 different features when put together, created this extremely virulent virus. 240 00:18:34,580 --> 00:18:37,560 It was referred to in 1918 as purple death. 241 00:18:37,760 --> 00:18:42,240 So that was a terrible virus. We were able to recover it, understand it. 242 00:18:42,520 --> 00:18:47,080 And then from that, we're able to make diagnostics, treatments and vaccines 243 00:18:47,080 --> 00:18:48,740 can help prevent that from happening again. 244 00:18:50,250 --> 00:18:55,390 However, while thankfully medical science has developed the technology to 245 00:18:55,390 --> 00:19:01,330 protect us from the Spanish flu today, when it first struck in 1918, it quickly 246 00:19:01,330 --> 00:19:05,610 spread across the globe, leaving millions dead in its wake. 247 00:19:06,510 --> 00:19:12,090 The 1918 virus was much more dangerous, much more virulent than COVID -19. 248 00:19:12,770 --> 00:19:16,910 People could die in as little as 12 hours after the first symptoms. 249 00:19:19,740 --> 00:19:22,640 The people who were dying were young. 250 00:19:23,420 --> 00:19:26,220 The peak age for death was in the 20s. 251 00:19:26,580 --> 00:19:29,900 Children were dying in enormous numbers. 252 00:19:31,000 --> 00:19:37,300 So 95 % or so of the excess mortality was people younger than 65. 253 00:19:38,120 --> 00:19:40,220 Exactly the opposite of today. 254 00:19:41,880 --> 00:19:46,620 The 1918 virus killed somewhere between 50 and 100 million people. 255 00:19:47,110 --> 00:19:52,670 If you adjust for population, that would be the equivalent of 225 to 450 million 256 00:19:52,670 --> 00:19:53,850 people today. 257 00:19:55,730 --> 00:19:59,610 In 1918, the U .S., of course, was at war. 258 00:20:00,430 --> 00:20:06,110 And the focus of the government was entirely on the war and nothing else. 259 00:20:06,670 --> 00:20:12,810 The government was quite willing, to put it bluntly, to lie and to put the best 260 00:20:12,810 --> 00:20:13,950 face on everything. 261 00:20:14,810 --> 00:20:19,150 Woodrow Wilson, the president, never even made any public statement of any 262 00:20:19,150 --> 00:20:20,430 about the pandemic. 263 00:20:21,950 --> 00:20:26,930 Woodrow Wilson may not have taken the pandemic seriously, but he was not 264 00:20:26,930 --> 00:20:27,930 to its effects. 265 00:20:28,790 --> 00:20:34,590 Wilson contracted the influenza virus during the Paris Peace Conference at the 266 00:20:34,590 --> 00:20:36,230 end of World War I. 267 00:20:37,630 --> 00:20:42,650 Woodrow Wilson had put together what were known as 14 points. 268 00:20:43,950 --> 00:20:49,310 toward the end of World War I, where the world leaders were meeting in Paris. 269 00:20:50,890 --> 00:20:57,850 And his 14 points were essentially how we can work with Germany so something 270 00:20:57,850 --> 00:21:04,790 like this never happens again. And it was very progressive, especially for its 271 00:21:04,790 --> 00:21:07,550 day, and he really stood by it. 272 00:21:09,680 --> 00:21:16,500 Now, Woodrow Wilson also traveled to Paris on the same ship that had 273 00:21:16,500 --> 00:21:20,360 shipped many, many sick soldiers overseas. 274 00:21:21,420 --> 00:21:25,660 So while he was in Paris, Wilson became very sick. 275 00:21:26,360 --> 00:21:33,140 Everybody around him remarked on how his mind was affected, how he 276 00:21:33,140 --> 00:21:35,980 couldn't function, he couldn't process information. 277 00:21:36,600 --> 00:21:38,560 He was physically weak. 278 00:21:39,130 --> 00:21:43,670 And he insisted on returning to the negotiations while he was still set. 279 00:21:44,890 --> 00:21:50,770 During the peace talks, President Wilson had argued that America and its allies 280 00:21:50,770 --> 00:21:54,190 should not punish Germany by imposing a crippling war settlement. 281 00:21:55,530 --> 00:22:00,630 But due to his weakened condition, Wilson was unable to fight for less 282 00:22:00,630 --> 00:22:05,090 punishment than the one ultimately brought against the nation of Germany. 283 00:22:05,690 --> 00:22:08,630 And the course of history was irrevocably altered. 284 00:22:10,170 --> 00:22:12,670 Clemenceau, the French prime minister, hated Germany. 285 00:22:13,790 --> 00:22:19,330 Germany was blamed for the war, had reparations, had territory stripped from 286 00:22:19,390 --> 00:22:25,610 The peace treaty was so bad that almost every historian says that the treaty was 287 00:22:25,610 --> 00:22:32,510 a significant force in the rise of the Nazis and leading to World 288 00:22:32,510 --> 00:22:33,510 War II. 289 00:22:33,960 --> 00:22:40,080 You could definitely make an argument that it then led to a person like Adolf 290 00:22:40,080 --> 00:22:42,140 Hitler, charismatic, 291 00:22:42,900 --> 00:22:43,900 nationalist, 292 00:22:44,520 --> 00:22:50,780 dramatic, all the things that people who are 293 00:22:50,780 --> 00:22:56,160 suffering, who are poor, who are broke, who are starving, can look to someone 294 00:22:56,160 --> 00:22:58,580 like that and see a potential leader. 295 00:23:00,810 --> 00:23:06,570 If the Spanish flu of 1918 can teach mankind anything, it's to always be 296 00:23:06,570 --> 00:23:07,570 prepared. 297 00:23:07,770 --> 00:23:09,430 But how do we get ready? 298 00:23:10,710 --> 00:23:15,930 Some say that to battle future pandemics, we would need to have an 299 00:23:15,930 --> 00:23:18,230 monitoring the world for emerging diseases. 300 00:23:18,550 --> 00:23:22,490 They would race to the site of an outbreak, delivering vital on -the 301 00:23:22,490 --> 00:23:26,230 information to scientists that could fast -track treatments and vaccines. 302 00:23:27,570 --> 00:23:28,890 Well, it turns out... 303 00:23:29,310 --> 00:23:35,330 Such teams do exist, and they're known as the disease detectives. 304 00:23:40,690 --> 00:23:45,550 Philadelphia, Pennsylvania, July 21, 1976. 305 00:23:47,170 --> 00:23:52,730 More than 2 ,000 U .S. military veterans gather at the Bellevue Stratford Hotel 306 00:23:52,730 --> 00:23:57,150 for an annual three -day convention of the American Legion. 307 00:23:58,760 --> 00:24:05,320 In the days following the event, 182 of the Legionnaires fall ill with a new 308 00:24:05,320 --> 00:24:07,040 unidentified form of pneumonia. 309 00:24:08,500 --> 00:24:13,980 As doctors struggle to make sense of the mysterious illness, 29 people develop 310 00:24:13,980 --> 00:24:16,920 severe symptoms and perish. 311 00:24:19,100 --> 00:24:21,300 It was an unexplained pneumonia. 312 00:24:21,600 --> 00:24:24,960 We couldn't figure out what it was. None of the normal things that cause 313 00:24:24,960 --> 00:24:26,760 pneumonia turned out to be the cause. 314 00:24:28,140 --> 00:24:33,100 To solve the mystery, the Centers for Disease Control called upon America's 315 00:24:33,100 --> 00:24:38,160 first line of defense against emerging pandemics, the Epidemic Intelligence 316 00:24:38,160 --> 00:24:41,520 Service, or EIS. 317 00:24:42,080 --> 00:24:47,800 The Epidemic Intelligence Service was established in 1951, and the reason why 318 00:24:47,800 --> 00:24:52,080 came to be is that there were concerns about biological threats to the people 319 00:24:52,080 --> 00:24:53,080 the United States. 320 00:24:53,160 --> 00:24:56,180 And so the program was put together so we'd have a workforce. 321 00:24:56,800 --> 00:25:00,980 ready to deploy to investigate any possible biological warfare or threats 322 00:25:00,980 --> 00:25:02,020 against the United States. 323 00:25:03,280 --> 00:25:07,620 Essentially, they are kind of like FBI agents, only instead of going after 324 00:25:07,620 --> 00:25:09,120 criminals and terrorists, they go after disease. 325 00:25:09,760 --> 00:25:14,580 So when an outbreak, especially a sort of outbreak of unknown origin, pops up 326 00:25:14,580 --> 00:25:18,460 the U .S. or sometimes around the world, the CDC will send in epidemiologists 327 00:25:18,460 --> 00:25:23,600 from the service to figure out what's going on. And the CDC's disease 328 00:25:23,600 --> 00:25:25,280 are the best in the world at this. 329 00:25:27,120 --> 00:25:33,500 The Legionnaire outbreak in 1976 sparked nationwide fear about the unknown 330 00:25:33,500 --> 00:25:36,660 disease that had claimed the lives of 29 victims. 331 00:25:37,660 --> 00:25:41,200 So the disease detectives raced to solve the mystery. 332 00:25:41,860 --> 00:25:46,640 They scoured the hotel where the Legionnaires had held their convention, 333 00:25:46,640 --> 00:25:51,840 discovered a mysterious bacterium in the hotel's air conditioning system, and 334 00:25:51,840 --> 00:25:55,240 took samples of it to be analyzed at the Centers for Disease Control. 335 00:25:56,880 --> 00:26:01,680 And so they sent those specimens to CDC, and they were able to characterize an 336 00:26:01,680 --> 00:26:03,460 unusual bacillus. 337 00:26:03,860 --> 00:26:08,240 And they found this thing that's now called Legionella, or Legionnaire's 338 00:26:08,240 --> 00:26:11,980 disease. And so that's something that's in water. 339 00:26:12,260 --> 00:26:14,920 It's very different than other bacterial causes. 340 00:26:15,660 --> 00:26:18,760 You can find it in cooling towers that are on top of buildings. 341 00:26:19,580 --> 00:26:22,180 You can find it in whirlpool spas. 342 00:26:23,139 --> 00:26:25,880 sometimes the swimming pools and other sources of water. 343 00:26:26,840 --> 00:26:31,420 And when people walk past it, they breathe in those droplets, and then they 344 00:26:31,420 --> 00:26:35,460 the bacteria deep in their lungs, and then they get a bad pneumonia, and it 345 00:26:35,460 --> 00:26:36,460 be fake. 346 00:26:37,540 --> 00:26:41,300 Our disease detectives are looking at how can they intervene to ensure upon 347 00:26:41,300 --> 00:26:42,480 safety of the public. 348 00:26:43,080 --> 00:26:47,180 And then after they've investigated and they've collected information and they 349 00:26:47,180 --> 00:26:50,020 think that they might know an intervention, the next step is obviously 350 00:26:50,020 --> 00:26:51,020 communicate that. 351 00:26:51,980 --> 00:26:57,360 The rapid discovery of Legionella bacterium brought the potential outbreak 352 00:26:57,360 --> 00:26:58,360 halt. 353 00:26:58,480 --> 00:27:03,400 Thanks to the information provided by the EIS disease detectives, air 354 00:27:03,400 --> 00:27:07,820 conditioning units and water systems across the country were retrofitted to 355 00:27:07,820 --> 00:27:08,920 minimize the risk. 356 00:27:10,860 --> 00:27:15,580 The program has evolved quite a bit since 1951 when it was originally just 357 00:27:15,580 --> 00:27:17,020 physicians and all males. 358 00:27:17,400 --> 00:27:20,520 So now we include not just physicians but nurses. 359 00:27:21,680 --> 00:27:24,080 veterinarians, PhD -level scientists. 360 00:27:24,440 --> 00:27:30,540 It's a real diverse skill set of people that are prepared to deploy and respond 361 00:27:30,540 --> 00:27:31,860 to emerging threats. 362 00:27:32,920 --> 00:27:37,760 EIF leaders have not only expanded their membership to include experts in 363 00:27:37,760 --> 00:27:42,760 different fields of research and technology, they've also expanded to 364 00:27:42,760 --> 00:27:45,380 operate all around the world. 365 00:27:46,620 --> 00:27:52,930 However... They must accept potentially deadly risks to their own health in the 366 00:27:52,930 --> 00:27:53,930 process. 367 00:27:54,710 --> 00:28:01,070 There was an outbreak I participated in in Uganda where I went in a cave that 368 00:28:01,070 --> 00:28:06,130 was full of thousands and thousands of bats that might be infected with Marburg 369 00:28:06,130 --> 00:28:08,450 virus, which is a deadly virus related to Ebola. 370 00:28:09,570 --> 00:28:11,870 And I really geared up when I went in there. 371 00:28:12,470 --> 00:28:14,210 Not only was I wearing... 372 00:28:14,880 --> 00:28:19,040 battery -operated respirator to help me breathe pure air. I had to wear a helmet 373 00:28:19,040 --> 00:28:21,780 because I might hit my head on the rocks in the cave. 374 00:28:22,020 --> 00:28:27,080 And I actually had to wear snake chaps because there were snakes in that cave, 375 00:28:27,200 --> 00:28:30,800 including spitting cobras, that you wanted to protect yourself against. 376 00:28:31,000 --> 00:28:33,760 And that's what has made it so particularly dangerous. 377 00:28:34,960 --> 00:28:41,580 Disease detectives myself have been involved in SARS in 2003, West Nile 378 00:28:42,170 --> 00:28:48,910 Ebola in 2014 -15, Zika, and now most recently the emergence of COVID 379 00:28:48,910 --> 00:28:55,190 -19. They're the smart people we put out into the field in order to figure 380 00:28:55,190 --> 00:28:57,130 things out as quickly as possible. 381 00:28:57,690 --> 00:29:03,130 For our disease detectives, collecting the most valid and reliable evidence is 382 00:29:03,130 --> 00:29:04,129 their top priority. 383 00:29:04,130 --> 00:29:07,710 Not collecting data for the sake of publication or fame. 384 00:29:08,170 --> 00:29:09,810 They're collecting this information. 385 00:29:10,600 --> 00:29:13,420 so that there can be public health action taken. 386 00:29:13,820 --> 00:29:18,120 They're ready on a moment's notice to deploy to any new or emerging public 387 00:29:18,120 --> 00:29:19,120 health threat. 388 00:29:21,460 --> 00:29:26,660 What happens if the disease detectives are too late and a major epidemic is 389 00:29:26,660 --> 00:29:27,660 already spreading? 390 00:29:28,240 --> 00:29:33,300 Do epidemiologists have the means to predict where a virus might go and 391 00:29:33,300 --> 00:29:35,040 it before it spirals out of control? 392 00:29:36,500 --> 00:29:37,920 It's entirely possible. 393 00:29:38,730 --> 00:29:44,610 And one of the most promising tools just might turn out to be a video game. 394 00:29:49,210 --> 00:29:51,390 September 13th, 2005. 395 00:29:52,810 --> 00:29:54,070 Irvine, California. 396 00:29:55,410 --> 00:30:00,950 Video game developer Blizzard Entertainment introduces a surprise 397 00:30:00,950 --> 00:30:04,890 popular online role -playing game, World of Warcraft. 398 00:30:05,550 --> 00:30:07,150 A virtual virus. 399 00:30:07,770 --> 00:30:11,350 with the potential to infect characters within the game's fantasy universe. 400 00:30:12,150 --> 00:30:16,450 They call the virus Corrupted Blood. 401 00:30:16,990 --> 00:30:22,510 The Corrupted Blood experience in World of Warcraft was essentially a new patch 402 00:30:22,510 --> 00:30:23,510 for the game. 403 00:30:24,010 --> 00:30:28,090 Corrupted Blood was intended to be sort of an inconvenience to these extremely 404 00:30:28,090 --> 00:30:32,430 powerful players as they battled a demon in this particular setting within the 405 00:30:32,430 --> 00:30:33,430 game. 406 00:30:33,580 --> 00:30:39,100 And it was intended to slow these very powerful players down and make it more 407 00:30:39,100 --> 00:30:41,100 challenging to battle the demon. 408 00:30:41,320 --> 00:30:45,840 However, the corrupted blood feature did not stay contained within that special 409 00:30:45,840 --> 00:30:47,680 battleground for very strong players. 410 00:30:48,280 --> 00:30:52,840 In fact, it would spread unintentionally because players infected with the 411 00:30:52,840 --> 00:30:57,140 corrupted blood would leave the battleground and then expose themselves 412 00:30:57,140 --> 00:31:00,600 players that were less powerful. And those players were extremely susceptible 413 00:31:00,600 --> 00:31:01,780 the corrupted blood and then would die. 414 00:31:04,430 --> 00:31:10,590 This corrupted blood episode was essentially a digital pandemic, and it 415 00:31:10,590 --> 00:31:11,910 the players by surprise. 416 00:31:13,130 --> 00:31:19,650 At the time, the more than 5 million World of Warcraft players around the 417 00:31:19,650 --> 00:31:25,450 were rocked by the corrupted blood virus raging through the game as it began 418 00:31:25,450 --> 00:31:27,070 killing off their characters. 419 00:31:28,110 --> 00:31:29,730 But curiously... 420 00:31:30,580 --> 00:31:35,180 Scientists noted that there were eerie similarities between this digital 421 00:31:35,180 --> 00:31:38,060 pandemic and the real outbreak. 422 00:31:38,760 --> 00:31:41,960 When you were infected with this virus, you had to stay away from the other 423 00:31:41,960 --> 00:31:46,520 players. You had to socially distance or else the other player will get 424 00:31:46,520 --> 00:31:47,520 infected. 425 00:31:48,000 --> 00:31:51,640 And there are many different types of players. Some have a lot of points. 426 00:31:52,680 --> 00:31:54,320 Some didn't have a lot of points. 427 00:31:55,580 --> 00:31:59,240 And when you had the virus, your life force will deplete. 428 00:31:59,850 --> 00:32:05,230 So, of course, the individuals that don't have enough coins were the first 429 00:32:05,230 --> 00:32:11,170 pass away, while individuals who collected more coins or coins, they 430 00:32:11,170 --> 00:32:12,170 do better. 431 00:32:12,410 --> 00:32:16,930 And no matter what happened in this game, it seemed like the virus kept on 432 00:32:16,930 --> 00:32:17,930 spreading. 433 00:32:18,250 --> 00:32:22,470 In fact, animals could even get infected in the game. 434 00:32:24,970 --> 00:32:28,470 The corrupted blood pandemic lasted for nearly a month. 435 00:32:28,990 --> 00:32:32,970 before the World of Warcraft designers retooled the virus to stop its spread. 436 00:32:33,710 --> 00:32:36,250 A virtual vaccine, if you will. 437 00:32:37,030 --> 00:32:39,550 But that was not the end of the story. 438 00:32:39,930 --> 00:32:45,910 Because in September of 2007, scientists from Tufts University published a 439 00:32:45,910 --> 00:32:50,930 research paper which suggested that virtual games like World of Warcraft 440 00:32:50,930 --> 00:32:54,210 untapped resource in the study of pandemics. 441 00:32:56,270 --> 00:33:00,030 The unique thing about the World of Warcraft simulation is that it was a 442 00:33:00,030 --> 00:33:04,570 potential new type of opportunity to understand and maybe even predict the 443 00:33:04,570 --> 00:33:08,290 different ways that human behavior might influence the spread of a pandemic. 444 00:33:08,550 --> 00:33:13,550 So, for example, during the outbreak, the developers imposed a quarantine to 445 00:33:13,550 --> 00:33:17,910 to get players to stay within those particular areas to help slow the spread 446 00:33:17,910 --> 00:33:20,930 the corrupted blood feature, but they ignored it. 447 00:33:21,490 --> 00:33:25,770 I think the take -home message is that What once was just a video game or 448 00:33:25,770 --> 00:33:30,270 entertainment turned out to be something that maybe can be studied. 449 00:33:31,350 --> 00:33:36,690 And that was interesting. It wasn't just the game itself, but how the players 450 00:33:36,690 --> 00:33:38,510 reacted to the virus. 451 00:33:39,570 --> 00:33:42,530 How people thought during a pandemic. 452 00:33:43,050 --> 00:33:44,130 What did they do? 453 00:33:45,730 --> 00:33:50,870 In the years since the corrupted blood incident, the use of computer 454 00:33:50,870 --> 00:33:52,670 to help fight real pandemics. 455 00:33:53,230 --> 00:33:59,650 has evolved these sophisticated digital tools are now referred to as 456 00:33:59,650 --> 00:34:06,390 mathematical models the model is really just trying to 457 00:34:06,390 --> 00:34:13,350 predict the future using specific assumptions about where the disease 458 00:34:13,350 --> 00:34:18,070 might be going in terms of the outbreak so you take what's known as best you can 459 00:34:18,860 --> 00:34:23,679 and look at various scenarios and numbers, and you throw that into some 460 00:34:23,679 --> 00:34:27,260 a formula, and it can give you some sense of where the outbreak is going. 461 00:34:27,880 --> 00:34:33,860 Mathematical models can be used to help predict things like how fast a virus 462 00:34:33,860 --> 00:34:36,800 will spread, how many individuals will be affected. 463 00:34:37,760 --> 00:34:42,020 How efficacious these different sorts of methods of slowing the spread might be, 464 00:34:42,179 --> 00:34:45,820 whether it's a quarantine or just limiting certain types of services. 465 00:34:46,060 --> 00:34:49,600 How much hospital capacity will be needed in these different scenarios. 466 00:34:50,060 --> 00:34:53,860 Those are all things that models can help public health officials gauge. 467 00:34:56,239 --> 00:35:01,660 At their best, mathematical models can only offer theories as to what might 468 00:35:01,660 --> 00:35:04,540 happen as a pandemic spreads across the world. 469 00:35:05,260 --> 00:35:08,900 But could a viral threat emerge for which no data exists at all? 470 00:35:09,340 --> 00:35:14,500 How do we prepare for a virus that's not of this Earth? 471 00:35:20,780 --> 00:35:23,300 July 24th, 1969. 472 00:35:25,540 --> 00:35:29,120 900 miles southwest of Hawaii in the Pacific Ocean. 473 00:35:30,200 --> 00:35:33,640 Four days after achieving their historic moon landing. 474 00:35:34,250 --> 00:35:39,290 the Apollo 11 astronauts splash down inside their space capsule and are 475 00:35:39,290 --> 00:35:40,950 recovered by the U .S. Navy. 476 00:35:42,890 --> 00:35:47,010 But instead of being allowed to immediately reunite with their 477 00:35:47,010 --> 00:35:48,050 families to celebrate, 478 00:35:48,970 --> 00:35:54,870 Neil Armstrong, Buzz Aldrin, and Michael Collins are placed in a strict two 479 00:35:54,870 --> 00:35:55,870 -week quarantine. 480 00:35:56,530 --> 00:35:57,630 The reason? 481 00:35:58,270 --> 00:36:03,350 NASA's fears that the men might possibly have contracted a lunar virus. 482 00:36:04,140 --> 00:36:05,700 and brought it back to Earth. 483 00:36:07,120 --> 00:36:10,200 These were the first time astronauts were actually going to another planetary 484 00:36:10,200 --> 00:36:12,020 body, staying there, and then coming back. 485 00:36:12,820 --> 00:36:16,160 It's absolutely feasible that a biological contaminant of some kind 486 00:36:16,160 --> 00:36:17,580 back with astronauts. 487 00:36:18,620 --> 00:36:22,640 They quarantined the astronauts from that first mission, and they also 488 00:36:22,640 --> 00:36:27,840 back moon rocks and tried grinding them up, extracting them, feeding them to 489 00:36:27,840 --> 00:36:30,660 every type of life that they could think of to see if there were any ill 490 00:36:30,660 --> 00:36:31,660 effects. 491 00:36:32,520 --> 00:36:37,940 In the end, concerns that the Apollo 11 astronauts brought back any kind of 492 00:36:37,940 --> 00:36:41,660 lunar infection thankfully turned out to be a false alarm. 493 00:36:42,520 --> 00:36:47,640 But why would NASA worry that bacteria and viruses might exist in the freezing 494 00:36:47,640 --> 00:36:49,580 vacuum of space in the first place? 495 00:36:50,080 --> 00:36:55,700 The answer lies in the controversial theory of panspermia, which suggests 496 00:36:55,700 --> 00:37:00,720 microbial life, including potential viruses, can be found throughout the 497 00:37:01,530 --> 00:37:07,050 including on moons, asteroids, comets, and alien planets. 498 00:37:08,430 --> 00:37:15,130 Panspermia is essentially derived from Greek roots, pans meaning everywhere, 499 00:37:15,130 --> 00:37:16,770 spermata meaning seed. 500 00:37:17,970 --> 00:37:22,550 So panspermia essentially means seeds of life everywhere. 501 00:37:22,810 --> 00:37:29,450 The concept is that life seeds are distributed widely across the entire 502 00:37:29,450 --> 00:37:30,450 universe. 503 00:37:30,860 --> 00:37:36,620 And whenever conditions are correct, are appropriate, on a planet safe like the 504 00:37:36,620 --> 00:37:41,300 Earth, then life is deposited and life gets started. 505 00:37:42,600 --> 00:37:48,440 According to the theory of panspermia, space microbes trapped in meteors and 506 00:37:48,440 --> 00:37:51,140 comets regularly rain down on Earth. 507 00:37:52,400 --> 00:37:57,020 We have some hundred tons of cometary debris. 508 00:37:57,790 --> 00:38:00,490 coming into the Earth's atmosphere all the time. 509 00:38:00,770 --> 00:38:07,710 So I think there had to be a continuing influx of bacteria and 510 00:38:07,710 --> 00:38:14,210 also viruses and major epidemics throughout history have started suddenly 511 00:38:14,210 --> 00:38:18,010 and disappeared equally suddenly. 512 00:38:18,960 --> 00:38:24,940 And I think the most reasonable explanation is that bacteria, viruses, 513 00:38:25,080 --> 00:38:30,340 and maybe even other organisms could have been introduced from outside and 514 00:38:30,340 --> 00:38:33,600 caused these huge pandemics of disease. 515 00:38:34,980 --> 00:38:40,580 The idea that pandemics could come to Earth from space is a fascinating and 516 00:38:40,580 --> 00:38:41,760 chilling theory. 517 00:38:42,760 --> 00:38:46,180 However, the much more sobering reality 518 00:38:46,890 --> 00:38:50,930 is that the grave threat of deadly global infections is alive and well. 519 00:38:51,350 --> 00:38:55,730 A fact driven home by COVID -19. 520 00:39:00,050 --> 00:39:01,830 Summer 2020. 521 00:39:03,010 --> 00:39:06,590 Every nation had to face an indisputable fact. 522 00:39:07,130 --> 00:39:09,510 The virus was everywhere. 523 00:39:10,270 --> 00:39:13,810 And the death toll was mounting. 524 00:39:15,060 --> 00:39:20,320 Doctors, scientists, and political leaders focused on one critical goal, 525 00:39:20,820 --> 00:39:25,260 developing a vaccine to combat COVID -19. 526 00:39:26,360 --> 00:39:29,040 There are multiple challenges to developing vaccines. 527 00:39:29,480 --> 00:39:35,480 The most basic is identifying the appropriate antigen or protein to use 528 00:39:35,480 --> 00:39:36,500 actually will be protective. 529 00:39:36,960 --> 00:39:40,960 And if you think about it, it took us 50 years to get an Ebola vaccine. 530 00:39:41,420 --> 00:39:43,560 We still don't have a vaccine for HIV. 531 00:39:44,190 --> 00:39:45,690 So this can take a long time. 532 00:39:46,890 --> 00:39:51,150 But we were very fortunate now that we identified the right virus. 533 00:39:51,870 --> 00:39:57,890 We knew it was part of the coronavirus family. It was new, hence the word 534 00:39:58,230 --> 00:40:03,830 But we knew what we wanted to fight against, which was the spike protein. 535 00:40:04,450 --> 00:40:07,450 Once we knew that, the science kicked in. 536 00:40:08,610 --> 00:40:10,810 On December 11, 2020. 537 00:40:11,880 --> 00:40:16,800 The world breathed a collective sigh of relief when the U .S. Food and Drug 538 00:40:16,800 --> 00:40:19,980 Administration approved the first coronavirus vaccine. 539 00:40:20,940 --> 00:40:27,180 This breakthrough was quickly followed by additional approved vaccines, and 540 00:40:27,180 --> 00:40:32,160 for the future began to emerge as hundreds of millions were immunized 541 00:40:32,160 --> 00:40:33,160 globe. 542 00:40:34,580 --> 00:40:39,040 Actually, when you have such a concentrated effort and funding, 543 00:40:39,770 --> 00:40:44,730 It's amazing to watch how quickly we've developed new vaccines for this brand 544 00:40:44,730 --> 00:40:45,730 new disease. 545 00:40:45,790 --> 00:40:50,470 That's really incredible, having that will and the money to do it and the 546 00:40:50,470 --> 00:40:51,470 scientific basis. 547 00:40:53,530 --> 00:40:58,530 If I had one wish from this pandemic, it would be that everyone, including 548 00:40:58,530 --> 00:41:00,510 myself, we learn from our mistakes. 549 00:41:01,330 --> 00:41:06,390 And of course, we always need to work together and not be divided. 550 00:41:07,150 --> 00:41:12,210 Because if we don't communicate, we'll never get the input of all the 551 00:41:12,210 --> 00:41:17,650 individuals, whether it be the doctor who travels to Alaska, whether it be the 552 00:41:17,650 --> 00:41:19,990 epidemiologist who plays a video game. 553 00:41:20,890 --> 00:41:22,690 Everyone's opinion counts. 554 00:41:23,030 --> 00:41:27,990 So hopefully we'll continue to communicate and we'll be in this and 555 00:41:27,990 --> 00:41:29,550 whatever happens together. 556 00:41:33,350 --> 00:41:37,750 If recent events have taught us anything, It's that the threat of deadly 557 00:41:37,750 --> 00:41:39,450 pandemics may never be eliminated. 558 00:41:39,910 --> 00:41:42,490 So, here are the questions that remain. 559 00:41:43,510 --> 00:41:45,190 How will the next one arrive? 560 00:41:45,890 --> 00:41:48,990 Is it possible that we can prevent it before it happens? 561 00:41:49,270 --> 00:41:52,550 And if not, will we be ready to contain it? 562 00:41:53,450 --> 00:41:58,190 Some of these answers will only come with time, while the others could remain 563 00:41:58,190 --> 00:42:02,730 hidden in America's book of secrets. 50806

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.