How we'll fight the next deadly virus | Pardis Sabeti

86,590 views ・ 2016-02-25

TED


Please double-click on the English subtitles below to play the video.

00:13
You may never have heard of Kenema, Sierra Leone
0
13015
2762
00:15
or Arua, Nigeria.
1
15801
1532
00:17
But I know them as two of the most extraordinary places on earth.
2
17357
3771
00:21
In hospitals there, there's a community of nurses, physicians and scientists
3
21956
5053
00:27
that have been quietly battling
4
27033
1557
00:28
one of the deadliest threats to humanity for years:
5
28614
2700
00:31
Lassa virus.
6
31338
1174
00:33
Lassa virus is a lot like Ebola.
7
33118
2138
00:35
It can cause a severe fever and can often be fatal.
8
35280
3233
00:39
But these individuals, they risk their lives every day
9
39053
3939
00:43
to protect the individuals in their communities,
10
43016
2917
00:45
and by doing so, protect us all.
11
45957
2580
00:49
But one of the most extraordinary things I learned about them
12
49093
2908
00:52
on one of my first visits out there many years ago
13
52025
2567
00:54
was that they start each morning --
14
54616
1709
00:56
these challenging, extraordinary days on the front lines -- by singing.
15
56349
4943
01:01
They gather together, and they show their joy.
16
61731
3339
01:05
They show their spirit.
17
65094
1522
01:06
And over the years,
18
66640
1159
01:07
from year after year as I've visited them and they've visited me,
19
67823
3113
01:10
I get to gather with them and I sing
20
70960
1993
01:12
and we write and we love it,
21
72977
2174
01:15
because it reminds us that we're not just there to pursue science together;
22
75175
3543
01:18
we're bonded through a shared humanity.
23
78742
2317
01:21
And that of course, as you can imagine, becomes extremely important,
24
81586
4323
01:25
even essential, as things begin to change.
25
85933
2773
01:28
And that changed a great deal in March of 2014,
26
88730
4789
01:33
when the Ebola outbreak was declared in Guinea.
27
93543
2346
01:36
This is the first outbreak in West Africa,
28
96426
2132
01:38
near the border of Sierra Leone and Liberia.
29
98582
2442
01:42
And it was frightening, frightening for us all.
30
102074
2522
01:44
We had actually suspected for some time
31
104620
1912
01:46
that Lassa and Ebola were more widespread than thought,
32
106556
2642
01:49
and we thought it could one day come to Kenema.
33
109222
2309
01:51
And so members of my team immediately went out
34
111896
2410
01:54
and joined Dr. Humarr Khan and his team there,
35
114330
2397
01:56
and we set up diagnostics to be able to have sensitive molecular tests
36
116751
3677
02:00
to pick up Ebola if it came across the border
37
120452
2153
02:02
and into Sierra Leone.
38
122629
1263
02:03
We'd already set up this kind of capacity for Lassa virus,
39
123916
2996
02:06
we knew how to do it,
40
126936
1157
02:08
the team is outstanding.
41
128117
1430
02:09
We just had to give them the tools and place to survey for Ebola.
42
129571
3237
02:13
And unfortunately, that day came.
43
133340
1628
02:14
On May 23, 2014, a woman checked into the maternity ward at the hospital,
44
134992
4981
02:19
and the team ran those important molecular tests
45
139997
3726
02:23
and they identified the first confirmed case of Ebola in Sierra Leone.
46
143747
3835
02:28
This was an exceptional work that was done.
47
148107
2049
02:30
They were able to diagnose the case immediately,
48
150180
2260
02:32
to safely treat the patient
49
152464
2313
02:34
and to begin to do contact tracing to follow what was going on.
50
154801
3018
02:37
It could've stopped something.
51
157843
1972
02:39
But by the time that day came,
52
159839
2847
02:42
the outbreak had already been breeding for months.
53
162710
2358
02:45
With hundreds of cases, it had already eclipsed all previous outbreaks.
54
165092
3640
02:48
And it came into Sierra Leone not as that singular case,
55
168756
3644
02:52
but as a tidal wave.
56
172424
1292
02:54
We had to work with the international community,
57
174120
2275
02:56
with the Ministry of Health, with Kenema, to begin to deal with the cases,
58
176419
3706
03:00
as the next week brought 31,
59
180149
2071
03:02
then 92, then 147 cases -- all coming to Kenema,
60
182244
3674
03:05
one of the only places in Sierra Leone that could deal with this.
61
185942
3301
03:09
And we worked around the clock trying to do everything we could,
62
189610
3399
03:13
trying to help the individuals, trying to get attention,
63
193033
2961
03:16
but we also did one other simple thing.
64
196018
1947
03:18
From that specimen that we take from a patient's blood to detect Ebola,
65
198544
3789
03:22
we can discard it, obviously.
66
202357
2055
03:24
The other thing we can do is, actually, put in a chemical and deactivate it,
67
204436
3616
03:28
so just place it into a box and ship it across the ocean,
68
208076
2730
03:30
and that's what we did.
69
210830
1151
03:32
We sent it to Boston, where my team works.
70
212005
2096
03:34
And we also worked around the clock doing shift work, day after day,
71
214724
3837
03:38
and we quickly generated 99 genomes of the Ebola virus.
72
218585
3869
03:42
This is the blueprint -- the genome of a virus is the blueprint.
73
222478
3057
03:45
We all have one.
74
225559
1159
03:46
It says everything that makes up us,
75
226742
1945
03:48
and it tells us so much information.
76
228711
1909
03:50
The results of this kind of work are simple and they're powerful.
77
230644
3177
03:54
We could actually take these 99 different viruses,
78
234396
2470
03:56
look at them and compare them,
79
236890
1447
03:58
and we could see, actually, compared to three genomes
80
238361
2846
04:01
that had been previously published from Guinea,
81
241231
2836
04:04
we could show that the outbreak emerged in Guinea months before,
82
244091
3711
04:07
once into the human population,
83
247826
1842
04:09
and from there had been transmitting from human to human.
84
249692
2672
04:12
Now, that's incredibly important
85
252388
1544
04:13
when you're trying to figure out how to intervene,
86
253956
2368
04:16
but the important thing is contact tracing.
87
256348
2066
04:18
We also could see that as the virus was moving between humans,
88
258438
3402
04:21
it was mutating.
89
261864
1257
04:23
And each of those mutations are so important,
90
263145
2151
04:25
because the diagnostics, the vaccines,
91
265320
2320
04:27
the therapies that we're using,
92
267664
1485
04:29
are all based on that genome sequence, fundamentally --
93
269173
3358
04:32
that's what drives it.
94
272555
1221
04:33
And so global health experts would need to respond,
95
273800
2882
04:36
would have to develop,
96
276706
1197
04:37
to recalibrate everything that they were doing.
97
277927
2553
04:41
But the way that science works, the position I was in at that point
98
281079
3181
04:44
is, I had the data,
99
284284
1151
04:45
and I could have worked in a silo for many, many months,
100
285459
2636
04:48
analyzed the data carefully, slowly,
101
288119
2199
04:50
submitted the paper for publication, gone through a few back-and-forths,
102
290342
3460
04:53
and then finally when the paper came out, might release that data.
103
293826
3129
04:56
That's the way the status quo works.
104
296979
2204
04:59
Well, that was not going to work at this point, right?
105
299207
2571
05:01
We had friends on the front lines
106
301802
1608
05:03
and to us it was just obvious that what we needed is help,
107
303434
3254
05:06
lots of help.
108
306712
1156
05:07
So the first thing we did is,
109
307892
1397
05:09
as soon as the sequences came off the machines,
110
309313
2685
05:12
we published it to the web.
111
312022
1429
05:13
We just released it to the whole world and said, "Help us."
112
313475
2836
05:16
And help came.
113
316335
1335
05:17
Before we knew it,
114
317694
1162
05:18
we were being contacted from people all over,
115
318880
2336
05:21
surprised to see the data out there and released.
116
321240
2444
05:23
Some of the greatest viral trackers in the world
117
323708
2252
05:25
were suddenly part of our community.
118
325984
2079
05:28
We were working together in this virtual way,
119
328087
2330
05:30
sharing, regular calls, communications,
120
330441
2981
05:33
trying to follow the virus minute by minute,
121
333446
2751
05:36
to see ways that we could stop it.
122
336221
2221
05:39
And there are so many ways that we can form communities like that.
123
339027
3758
05:43
Everybody, particularly when the outbreak started to expand globally,
124
343182
4325
05:47
was reaching out to learn, to participate, to engage.
125
347531
3590
05:51
Everybody wants to play a part.
126
351788
1594
05:53
The amount of human capacity out there is just amazing,
127
353406
2780
05:56
and the Internet connects us all.
128
356210
1723
05:57
And could you imagine that instead of being frightened of each other,
129
357957
3251
06:01
that we all just said, "Let's do this.
130
361232
1857
06:03
Let's work together, and let's make this happen."
131
363113
2523
06:05
But the problem is that the data that all of us are using,
132
365660
2742
06:08
Googling on the web, is just too limited to do what we need to do.
133
368426
4037
06:12
And so many opportunities get missed when that happens.
134
372487
2651
06:15
So in the early part of the epidemic from Kenema,
135
375162
2481
06:17
we'd had 106 clinical records from patients,
136
377667
2742
06:20
and we once again made that publicly available to the world.
137
380433
2834
06:23
And in our own lab, we could show that you could take those 106 records,
138
383291
3670
06:26
we could train computers to predict the prognosis for Ebola patients
139
386985
3618
06:30
to near 100 percent accuracy.
140
390627
1777
06:32
And we made an app that could release that,
141
392428
2097
06:34
to make that available to health-care workers in the field.
142
394549
2770
06:37
But 106 is just not enough to make it powerful,
143
397343
3259
06:40
to validate it.
144
400626
1151
06:41
So we were waiting for more data to release that.
145
401801
2654
06:44
and the data has still not come.
146
404479
2044
06:46
We are still waiting, tweaking away,
147
406547
2532
06:49
in silos rather than working together.
148
409103
2838
06:51
And this just -- we can't accept that.
149
411965
2232
06:54
Right? You, all of you, cannot accept that.
150
414221
3804
06:58
It's our lives on the line.
151
418049
1682
06:59
And in fact, actually,
152
419755
1711
07:01
many lives were lost, many health-care workers,
153
421490
2543
07:04
including beloved colleagues of mine,
154
424057
1894
07:05
five colleagues: Mbalu Fonnie, Alex Moigboi,
155
425975
3747
07:09
Dr. Humarr Khan, Alice Kovoma and Mohamed Fullah.
156
429746
4011
07:13
These are just five of many health-care workers
157
433781
2526
07:16
at Kenema and beyond
158
436331
1764
07:18
that died while the world waited and while we all worked,
159
438119
3036
07:21
quietly and separately.
160
441179
1860
07:23
See, Ebola, like all threats to humanity,
161
443063
2033
07:25
it's fueled by mistrust and distraction and division.
162
445120
3884
07:29
When we build barriers amongst ourselves and we fight amongst ourselves,
163
449028
3773
07:32
the virus thrives.
164
452825
1820
07:34
But unlike all threats to humanity,
165
454669
1792
07:36
Ebola is one where we're actually all the same.
166
456485
2646
07:39
We're all in this fight together.
167
459155
1880
07:41
Ebola on one person's doorstep could soon be on ours.
168
461059
2634
07:44
And so in this place with the same vulnerabilities,
169
464177
2802
07:47
the same strengths, the same fears, the same hopes,
170
467003
2413
07:49
I hope that we work together with joy.
171
469440
3209
07:54
A graduate student of mine was reading a book about Sierra Leone,
172
474427
3070
07:57
and she discovered that the word "Kenema,"
173
477521
2334
07:59
the hospital that we work at and the city where we work in Sierra Leone,
174
479879
3443
08:03
is named after the Mende word for "clear like a river, translucent
175
483346
4181
08:07
and open to the public gaze."
176
487551
1587
08:09
That was really profound for us,
177
489439
1545
08:11
because without knowing it, we'd always felt
178
491008
2094
08:13
that in order to honor the individuals in Kenema where we worked,
179
493126
3184
08:16
we had to work openly, we had to share and we had to work together.
180
496334
4287
08:21
And we have to do that.
181
501074
1177
08:22
We all have to demand that of ourselves and others --
182
502275
3761
08:26
to be open to each other when an outbreak happens,
183
506060
2874
08:28
to fight in this fight together.
184
508958
1650
08:30
Because this is not the first outbreak of Ebola,
185
510632
2909
08:33
it will not be the last,
186
513565
1448
08:35
and there are many other microbes out there that are lying in wait,
187
515037
3155
08:38
like Lassa virus and others.
188
518216
1425
08:39
And the next time this happens,
189
519665
1509
08:41
it could happen in a city of millions, it could start there.
190
521198
3196
08:44
It could be something that's transmitted through the air.
191
524418
2699
08:47
It could even be disseminated intentionally.
192
527141
2147
08:49
And I know that that is frightening, I understand that,
193
529312
2981
08:52
but I know also, and this experience shows us,
194
532317
2654
08:54
that we have the technology and we have the capacity
195
534995
3320
08:58
to win this thing,
196
538339
1595
08:59
to win this and have the upper hand over viruses.
197
539958
2846
09:02
But we can only do it if we do it together
198
542828
2272
09:05
and we do it with joy.
199
545124
1197
09:06
So for Dr. Khan
200
546871
1521
09:08
and for all of those who sacrificed their lives on the front lines
201
548416
4166
09:12
in this fight with us always,
202
552606
2400
09:15
let us be in this fight with them always.
203
555030
2807
09:17
And let us not let the world be defined
204
557861
1875
09:19
by the destruction wrought by one virus,
205
559760
2119
09:21
but illuminated by billions of hearts and minds
206
561903
2781
09:24
working in unity.
207
564708
1208
09:25
Thank you.
208
565940
1174
09:27
(Applause)
209
567138
6869
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7