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