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Indianola School says
they will be closed tomorrow
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00:00:35,326 --> 00:00:37,954
because about 20% of their students
are out with the flu.
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00:00:38,038 --> 00:00:41,583
Western Heights says they've
had so many student and teacher absences,
4
00:00:41,666 --> 00:00:43,585
canceling school was the best option.
5
00:00:43,668 --> 00:00:47,547
...schools in Braggs
right now are closed, 47 were out sick...
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00:00:47,630 --> 00:00:50,759
145 students
called in sick on Monday.
7
00:00:50,842 --> 00:00:52,653
After an increase in reported absences,
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00:00:52,677 --> 00:00:56,181
both Seymour and the Archer City ISD
will be closed tomorrow.
9
00:00:56,264 --> 00:00:58,892
A Muskogee school counselor is dead,
10
00:00:58,975 --> 00:01:01,144
making her one of the hundreds
of Oklahomans
11
00:01:01,227 --> 00:01:03,438
who have now fallen victim
to this year's flu virus.
12
00:01:17,994 --> 00:01:20,622
All right, so how long
have you been sick?
13
00:01:20,705 --> 00:01:22,224
- Just today.
- Just today.
14
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Did it kind of come on you
all of a sudden?
15
00:01:25,168 --> 00:01:27,462
I went to work this morning.
I was okay.
16
00:01:27,545 --> 00:01:29,273
- Like, my teeth was hurting.
- Mmm-hmm.
17
00:01:29,297 --> 00:01:32,550
Like, tender and I had a headache,
but nothing else.
18
00:01:32,634 --> 00:01:36,137
And did you feel body aches
and feel like you were getting a fever...
19
00:01:36,221 --> 00:01:37,865
- My skin feels like it's burning.
- Oh.
20
00:01:37,889 --> 00:01:40,225
- Eyes are hot?
- My eyes feel like they're burning.
21
00:01:40,308 --> 00:01:41,619
And then
what are her symptoms?
22
00:01:41,643 --> 00:01:43,686
She's got
a runny nose and a cough.
23
00:01:43,770 --> 00:01:46,165
And have you been exposed
to anybody that's had the flu?
24
00:01:46,189 --> 00:01:48,775
The county that we live in,
they just closed the school
25
00:01:48,858 --> 00:01:50,503
- because of flu.
- Did they?
26
00:01:50,527 --> 00:01:54,531
I think they get past 20%
and they don't send kids to school.
27
00:01:54,614 --> 00:01:57,826
It does help us stop the flu as well.
It stops the spread.
28
00:01:57,909 --> 00:02:00,429
When am I going to be able
to go back to work? Tomorrow?
29
00:02:00,495 --> 00:02:04,541
If you have a temperature
greater than 100.4,
30
00:02:04,624 --> 00:02:06,584
then you really need to be
out of the public.
31
00:02:08,128 --> 00:02:10,255
If those parents
that are in the workforce,
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00:02:10,338 --> 00:02:13,883
their kids are at home,
they either have to find childcare
33
00:02:13,967 --> 00:02:17,303
so that they can go to work,
or they have to be off work.
34
00:02:17,387 --> 00:02:19,764
All right, it's just a light...
35
00:02:20,598 --> 00:02:23,434
Some of them may have sick days
and some of them may not.
36
00:02:23,518 --> 00:02:27,647
So it expands and we have parents
that are now out of work.
37
00:02:28,815 --> 00:02:32,068
Okay, I'll put together your paperwork
and we'll let you get out of here.
38
00:02:32,152 --> 00:02:34,863
It is a huge struggle,
it's a financial struggle,
39
00:02:34,946 --> 00:02:37,949
it's a mental struggle, physical struggle,
emotional struggle.
40
00:02:39,242 --> 00:02:40,886
I know this is hard to believe,
41
00:02:40,910 --> 00:02:43,121
but 3,000 people across
the state of Oklahoma
42
00:02:43,204 --> 00:02:46,541
have gotten so sick, they've actually
had to go to the hospital.
43
00:02:47,625 --> 00:02:50,044
And there's still nine weeks left
in the flu season.
44
00:03:32,212 --> 00:03:33,212
Hello?
45
00:03:34,255 --> 00:03:36,382
Okay,
the one who was very serious,
46
00:03:36,466 --> 00:03:39,344
and asked me to prescribe the medicine?
47
00:03:39,427 --> 00:03:40,929
Is there some relief?
48
00:03:42,096 --> 00:03:43,514
So you are feeling much better?
49
00:03:43,598 --> 00:03:46,517
My wife is a doctor at Durlabhji as well.
50
00:03:47,685 --> 00:03:50,188
We have an agreement between us:
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00:03:50,271 --> 00:03:53,441
when she's in the hospital,
I take care of the family.
52
00:03:53,524 --> 00:03:56,527
When I'm in the hospital,
she takes care of the family.
53
00:03:57,612 --> 00:04:00,615
She works only limited hours.
54
00:04:01,282 --> 00:04:04,369
She made this sacrifice for my sake.
55
00:04:04,452 --> 00:04:07,292
So one person could move ahead
while the other takes care of the family.
56
00:04:11,459 --> 00:04:15,880
There were financial difficulties
in paying for my education.
57
00:04:17,215 --> 00:04:21,511
I just had a few clothes
and I borrowed my text books.
58
00:04:23,846 --> 00:04:26,307
Then gradually, after completing my MD,
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00:04:26,391 --> 00:04:27,600
my life straightened out.
60
00:04:29,519 --> 00:04:31,479
- Manish Ji, are you ready?
- Hmm.
61
00:04:32,230 --> 00:04:33,481
- Should I do your hair?
- Hmm.
62
00:04:35,024 --> 00:04:37,610
I have experienced poverty,
63
00:04:40,280 --> 00:04:42,865
and now, with God's grace,
I have a lot.
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00:04:47,120 --> 00:04:49,831
So I know the difficulties
faced by the poor.
65
00:04:49,914 --> 00:04:54,252
The poor are at the greatest risk
of the flu.
66
00:04:55,795 --> 00:04:59,590
A doctor alone cannot do
anything in tackling this flu.
67
00:04:59,674 --> 00:05:01,801
The government cannot
tackle it alone.
68
00:05:01,884 --> 00:05:03,636
Neither can the public.
69
00:05:04,470 --> 00:05:08,266
It can be defeated
only if all three work together.
70
00:05:10,018 --> 00:05:13,730
Rajasthan accounts
for nearly 70% of the swine flu cases
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00:05:13,813 --> 00:05:15,732
being reported from across the country.
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00:05:16,733 --> 00:05:18,669
This is the failure
of the health department
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00:05:18,693 --> 00:05:21,029
under the health minister, Raghu Sharma.
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00:05:21,738 --> 00:05:24,699
Rajasthan has lost 49 lives
due to swine flu.
75
00:05:30,663 --> 00:05:33,291
Why is the percentage
of deaths increasing?
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00:05:39,756 --> 00:05:41,716
People's health is our responsibility.
77
00:05:42,467 --> 00:05:44,385
This means we are shirking our duty.
78
00:05:46,429 --> 00:05:49,140
As soon as someone is found positive,
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00:05:49,223 --> 00:05:52,060
then your department team
will visit them the next day.
80
00:05:53,144 --> 00:05:54,562
What are you busy doing?
81
00:05:54,645 --> 00:05:55,813
I'm taking notes.
82
00:05:55,897 --> 00:05:57,231
He's the one who is taking notes.
83
00:05:59,777 --> 00:06:01,779
You should be doing this on your own.
84
00:06:01,861 --> 00:06:03,279
Make me the director, I will do it.
85
00:06:03,363 --> 00:06:05,323
You can come here and be a minister.
86
00:06:07,241 --> 00:06:10,995
If we don't take corrective measures,
then it is our fault, isn't it?
87
00:06:12,246 --> 00:06:16,000
Our attention is elsewhere,
88
00:06:16,084 --> 00:06:17,168
not on this.
89
00:06:18,461 --> 00:06:20,546
That is a sickness in our department.
90
00:06:25,051 --> 00:06:27,220
Have you prepared all the instructions?
91
00:06:27,804 --> 00:06:28,805
What are those?
92
00:06:28,888 --> 00:06:32,308
Sir, first of all,
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00:06:32,392 --> 00:06:35,686
there will be a daily monitoring
of house-to-house activities in the city.
94
00:06:35,770 --> 00:06:38,481
You will do screenings?
95
00:06:39,649 --> 00:06:42,026
You should do continuous screenings.
96
00:06:42,110 --> 00:06:43,736
We will monitor...
97
00:06:43,820 --> 00:06:47,532
Of course, you will be monitoring,
but complete screenings should carry on.
98
00:06:51,411 --> 00:06:53,889
In an effort to curb
the spread, the Rajasthan health minister
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00:06:53,913 --> 00:06:58,084
has now ordered
door-to-door screenings of patients.
100
00:07:01,963 --> 00:07:03,339
Yes, sir?
101
00:07:04,507 --> 00:07:06,843
This is
the swine flu control room.
102
00:07:08,803 --> 00:07:10,721
Now, tell me, how is your health?
103
00:07:11,556 --> 00:07:15,017
Madam, there are two patients,
104
00:07:15,101 --> 00:07:16,769
they are positive for swine flu.
105
00:07:18,521 --> 00:07:20,606
Can you tell me your address,
where are you from?
106
00:07:21,941 --> 00:07:25,528
Can you provide any landmark
near your location?
107
00:07:25,611 --> 00:07:27,989
So we can confirm a visit
to your place?
108
00:07:28,072 --> 00:07:32,452
Ma'am, the two cases are positive
from the same house for swine flu.
109
00:07:34,120 --> 00:07:36,873
Let me know your ward number,
110
00:07:36,956 --> 00:07:40,084
and our survey team will contact you.
111
00:07:40,585 --> 00:07:44,589
Near the post office. Post office.
112
00:07:50,678 --> 00:07:52,805
The address
is near the post office.
113
00:07:59,562 --> 00:08:02,482
Is anyone there?
Can you come out?
114
00:08:20,500 --> 00:08:24,879
The thing about controlling
a deadly virus...
115
00:08:25,630 --> 00:08:29,300
is you need to move from being
reactive to proactive.
116
00:08:31,260 --> 00:08:36,098
We know that viruses move from wildlife
into livestock into people.
117
00:08:37,391 --> 00:08:40,937
And so you don't wait for an outbreak
to infect humans,
118
00:08:41,020 --> 00:08:46,234
you find it and you fight it
before it ever infects a person.
119
00:08:55,868 --> 00:08:58,829
FAO is looking at what's happening
in animals,
120
00:08:58,913 --> 00:09:03,334
broadening our surveillance strategy
to look upstream.
121
00:09:04,168 --> 00:09:08,047
Usually, we would see
the clinical picture in animals
122
00:09:08,130 --> 00:09:10,883
before humans become infected.
123
00:09:11,634 --> 00:09:14,345
And it just bothers me when the report
124
00:09:14,428 --> 00:09:15,989
- first comes out of humans.
- Yeah.
125
00:09:16,013 --> 00:09:20,184
And not picking it up
two or three weeks earlier in livestock.
126
00:09:22,270 --> 00:09:26,816
We have a team that brings information
together from different sources,
127
00:09:26,899 --> 00:09:28,859
including our field teams.
128
00:09:31,654 --> 00:09:35,366
I just received an email
from Russia.
129
00:09:35,449 --> 00:09:39,662
Basically, we asked
about this H5N6, remember?
130
00:09:39,745 --> 00:09:42,832
It seems to come from a gray gull in...
131
00:09:42,915 --> 00:09:47,086
So they actually went to check for a virus
and they couldn't find it?
132
00:09:47,169 --> 00:09:49,213
Yes. It was a result
of active surveillance.
133
00:09:49,297 --> 00:09:51,716
- Okay.
- Which, it does matter
134
00:09:51,799 --> 00:09:54,552
because apparently the prevalence
was sufficiently high.
135
00:09:54,635 --> 00:09:55,595
Yeah.
136
00:09:55,596 --> 00:10:01,602
So we may, uh, see this virus next winter
137
00:10:01,684 --> 00:10:04,478
- being the main actor on the stage.
- Yeah, who knows?
138
00:10:10,067 --> 00:10:13,195
But if we can go ahead
and, uh, get started...
139
00:10:14,697 --> 00:10:16,032
Paul, you have something?
140
00:10:16,574 --> 00:10:19,619
Uh, there is an interesting
detection of H5N6
141
00:10:19,702 --> 00:10:21,954
in the Saratov region
in the Russian Federation.
142
00:10:22,038 --> 00:10:25,124
And this is the first report
of this virus outside Asia.
143
00:10:26,208 --> 00:10:31,672
This is closely related to the viruses
that are circulating in China
144
00:10:31,756 --> 00:10:34,634
and caused several human infections,
145
00:10:34,717 --> 00:10:37,011
and some of them were fatal cases.
146
00:10:39,639 --> 00:10:44,727
For us, it's quite important,
the triggers and the line of command
147
00:10:44,810 --> 00:10:48,481
within the veterinary system
or a veterinary service.
148
00:10:48,564 --> 00:10:52,485
Once we have that detection,
what happens next?
149
00:10:53,194 --> 00:10:57,657
How it links up to the medical services
and how we react to that detection.
150
00:10:57,740 --> 00:11:01,494
Closing down the markets,
ensuring that consumers are safe,
151
00:11:01,577 --> 00:11:04,997
that there is good communication
between the veterinary arm
152
00:11:05,081 --> 00:11:07,958
- and the public health arm at all times.
- Right.
153
00:11:08,042 --> 00:11:10,127
With the proper risk mitigation measures,
154
00:11:10,211 --> 00:11:15,216
there's no excuse for any outbreak
becoming more than an outbreak.
155
00:11:15,299 --> 00:11:19,261
But it all begins with timely
and effective surveillance.
156
00:11:35,820 --> 00:11:37,839
- We're here with the band.
- What's that?
157
00:11:37,863 --> 00:11:41,575
- We're here with the band.
- Yeah, well, park right behind Brad.
158
00:11:41,659 --> 00:11:43,077
- Behind him?
- Yeah.
159
00:11:44,078 --> 00:11:45,078
Okay.
160
00:11:47,540 --> 00:11:48,541
Gear it up.
161
00:11:52,044 --> 00:11:54,213
So much... all right.
162
00:12:05,307 --> 00:12:08,018
So is Paul gonna take two trips?
We'll do two trips?
163
00:12:08,102 --> 00:12:09,478
- One trip...
- One trip with him.
164
00:12:09,562 --> 00:12:11,564
...with the ranger on that trailer
165
00:12:11,647 --> 00:12:13,875
and then the four wheeler on the one
that's hooked up to Brad's truck.
166
00:12:13,899 --> 00:12:14,899
Okay.
167
00:12:23,993 --> 00:12:29,039
When I'm in the field with hunters,
it's hard for people who don't understand
168
00:12:30,541 --> 00:12:32,209
to understand the full dynamics.
169
00:12:33,419 --> 00:12:34,670
You can't see it.
170
00:12:34,754 --> 00:12:37,757
The ducks aren't sneezing,
they're not coughing.
171
00:12:38,674 --> 00:12:40,217
But they have the flu.
172
00:12:43,220 --> 00:12:45,514
Wild birds are the ones
that are moving it.
173
00:12:45,598 --> 00:12:47,349
That's how the flu is getting moved.
174
00:13:04,658 --> 00:13:07,703
We're gonna catch these birds in this net.
There's rockets attached to it.
175
00:13:08,537 --> 00:13:11,290
Those rockets are gonna fire
when the birds are ready to be caught,
176
00:13:11,373 --> 00:13:12,792
when they're all balled up.
177
00:13:12,875 --> 00:13:14,376
The net's gonna go over the birds
178
00:13:14,460 --> 00:13:16,940
and groups of people are gonna go out
and take those birds out,
179
00:13:17,004 --> 00:13:18,798
we're gonna put them in keeping cages.
180
00:13:18,881 --> 00:13:20,591
I'm gonna swab them.
181
00:13:21,884 --> 00:13:25,346
And then those swab samples
will go back to the lab,
182
00:13:26,138 --> 00:13:29,558
to see what subtypes of influenza
come through here.
183
00:13:43,656 --> 00:13:46,867
Let's say there's a flu outbreak
at a chicken farm.
184
00:13:47,660 --> 00:13:49,620
The flu didn't start there.
185
00:13:49,703 --> 00:13:51,539
Maybe a hunter went out
and shot something,
186
00:13:51,622 --> 00:13:53,123
and then didn't clean his boots off,
187
00:13:53,207 --> 00:13:56,585
and went into the chicken house,
and, you know, spread all this flu.
188
00:13:57,795 --> 00:14:01,715
Wild birds are the movers of this virus.
That's what they do.
189
00:14:02,883 --> 00:14:04,361
Be ready to go
when you hear the shot.
190
00:14:04,385 --> 00:14:07,305
Get down there as quick as you can.
Grab a crate, and start pulling birds.
191
00:14:07,513 --> 00:14:08,806
- Now, we...
- Yeah.
192
00:14:08,889 --> 00:14:10,808
Okay. Now, we just wait.
193
00:15:02,401 --> 00:15:04,528
My job is like
being a watchman.
194
00:15:16,749 --> 00:15:20,461
A lot of the scary viruses in recent years
have been linked to bats.
195
00:15:20,544 --> 00:15:21,813
- Come over here.
- Yeah, yeah.
196
00:15:21,837 --> 00:15:23,437
- Okay?
- Yeah, let's go.
197
00:15:24,548 --> 00:15:25,549
There they are.
198
00:15:25,633 --> 00:15:26,967
Ebola, for example.
199
00:15:27,051 --> 00:15:29,970
Coronaviruses, whether SARS or MERS.
200
00:15:34,516 --> 00:15:36,119
When they are in groups
you can catch them easily.
201
00:15:36,143 --> 00:15:37,423
You can't catch them one by one.
202
00:15:37,686 --> 00:15:38,687
Okay.
203
00:15:44,193 --> 00:15:45,193
Got it.
204
00:15:45,736 --> 00:15:46,736
Okay.
205
00:15:47,571 --> 00:15:52,284
And we now know that bats
can be a reservoir for the flu.
206
00:15:54,912 --> 00:15:57,247
My team and I believe we have discovered
207
00:15:57,331 --> 00:16:01,085
a new subtype of influenza
in fruit bats in Egypt.
208
00:16:02,836 --> 00:16:07,925
And I want to test these bats in Lebanon
to see if this virus is spreading.
209
00:16:12,554 --> 00:16:14,223
The young ones, they might bite.
210
00:16:17,017 --> 00:16:21,522
And you can see the teeth
are still clean and still sharp.
211
00:16:21,605 --> 00:16:22,731
Yeah, sharp and clean.
212
00:16:23,649 --> 00:16:24,649
Off you go.
213
00:16:26,860 --> 00:16:27,860
Next.
214
00:16:28,862 --> 00:16:33,409
The more we know about where viruses
come from, the better we are prepared.
215
00:16:33,993 --> 00:16:36,286
What we can do is study them
before they mutate,
216
00:16:36,370 --> 00:16:39,623
try to predict which route
they might take.
217
00:16:44,211 --> 00:16:47,506
So it's all about trying to break
the transmission cycle
218
00:16:47,589 --> 00:16:49,049
from animals to humans.
219
00:16:59,768 --> 00:17:01,454
The most
vulnerable populations,
220
00:17:01,478 --> 00:17:03,897
or the populations
where a pandemic can start,
221
00:17:03,981 --> 00:17:05,858
are in caretakers of animals.
222
00:17:14,616 --> 00:17:16,827
We will take
a human blood sample.
223
00:17:16,910 --> 00:17:17,910
Human blood?
224
00:17:17,953 --> 00:17:20,914
Yeah, I need a worker
who works inside the farm.
225
00:17:20,998 --> 00:17:21,956
Okay.
226
00:17:21,957 --> 00:17:24,877
You and your shirt
in the street.
227
00:17:37,181 --> 00:17:38,724
Get well soon!
228
00:17:39,475 --> 00:17:42,603
You see how I was so soft with you?
229
00:17:42,686 --> 00:17:43,687
Yeah, right.
230
00:17:48,525 --> 00:17:51,445
I'm really, really interested
in trying to catch that virus
231
00:17:51,528 --> 00:17:53,280
as it's causing the infection.
232
00:17:59,536 --> 00:18:03,499
Once we do that, we can look at
how transmissible it is.
233
00:18:03,999 --> 00:18:05,959
Can it infect other species?
234
00:18:06,460 --> 00:18:08,170
Does it have a pandemic potential?
235
00:18:10,756 --> 00:18:13,801
We will add the chicken and human samples
collected today
236
00:18:14,384 --> 00:18:17,429
to the bat samples and begin our testing.
237
00:18:35,114 --> 00:18:36,466
- So, is this your...
- Mmm-hmm.
238
00:18:36,490 --> 00:18:37,967
What do you call it?
A pig or a sow?
239
00:18:37,991 --> 00:18:39,719
- A pig.
- You got a pig.
240
00:18:39,743 --> 00:18:41,995
- Her name is Chessie.
- Chessie? Okay.
241
00:18:43,038 --> 00:18:45,916
I don't think I've ever touched
a live pig before.
242
00:18:45,999 --> 00:18:48,544
Ooh, she's sweaty.
Or did you make her wet?
243
00:18:48,627 --> 00:18:51,296
Oh, yeah, we put water on her
before the big show.
244
00:18:51,380 --> 00:18:53,006
Oh! To make her shine?
245
00:18:54,883 --> 00:18:58,554
So, your mom told me that you did not
get the flu shot this year.
246
00:18:58,637 --> 00:19:00,472
Next year, you'll get the flu shot,
won't you?
247
00:19:01,223 --> 00:19:02,141
Probably.
248
00:19:02,142 --> 00:19:05,644
A little shot's not that big
of a deal compared to how sick you felt.
249
00:19:05,727 --> 00:19:09,148
And you got... Can you imagine
if you had the flu this week?
250
00:19:09,231 --> 00:19:10,917
- Oh, that'd be horrible.
- That'd be horrible.
251
00:19:10,941 --> 00:19:15,445
I wouldn't have got to show here.
I like showing pigs a lot.
252
00:19:16,196 --> 00:19:18,591
All right, we're ready
to let them into the show ring here
253
00:19:18,615 --> 00:19:20,868
for our first class... the first reveals.
254
00:19:21,410 --> 00:19:25,497
Being a small-town doctor
is a unique position.
255
00:19:27,916 --> 00:19:29,626
They're all nice enough to eat.
256
00:19:29,710 --> 00:19:31,670
Oh, yes, a little bit of bacon.
257
00:19:32,504 --> 00:19:37,259
Even if they haven't been my patient,
most people know, "She's the doctor."
258
00:19:38,093 --> 00:19:40,762
That opens up an opportunity
to be able to have
259
00:19:40,846 --> 00:19:45,767
a really interesting relationship
that I don't think a large town,
260
00:19:45,851 --> 00:19:48,395
or a city physician, really gets.
261
00:20:01,325 --> 00:20:02,802
Take a big, deep breath in.
262
00:20:02,826 --> 00:20:04,161
And then again.
263
00:20:07,456 --> 00:20:08,540
Just breathe normal.
264
00:20:11,501 --> 00:20:12,501
Good.
265
00:20:14,087 --> 00:20:17,925
Physicians focus outwardly on others
and what other people need.
266
00:20:18,008 --> 00:20:21,053
I'm gonna give you some antibiotics
in the IV tonight
267
00:20:21,136 --> 00:20:23,931
and then I'll give you a prescription
for some antibiotics
268
00:20:24,014 --> 00:20:25,682
to take for the next ten days.
269
00:20:25,766 --> 00:20:27,059
Do you have insurance?
270
00:20:27,809 --> 00:20:29,978
We are expected to be superhuman.
271
00:20:30,562 --> 00:20:35,359
We are expected to do the best that we can
for everyone that we come in contact with,
272
00:20:35,442 --> 00:20:38,111
with the kind of compassion
that they deserve
273
00:20:38,195 --> 00:20:41,949
and that's a calling
that I've been brought to,
274
00:20:42,032 --> 00:20:44,701
and I can do that, I can do my calling.
275
00:20:45,410 --> 00:20:47,204
If I can get the help that I need.
276
00:20:49,122 --> 00:20:51,124
I have a 72-hour shift
277
00:20:51,208 --> 00:20:54,836
and so it's important to me
that my husband is here with me at times.
278
00:20:54,920 --> 00:20:57,297
Because without Mike,
I couldn't do this work.
279
00:21:02,177 --> 00:21:03,178
Oh.
280
00:21:03,262 --> 00:21:04,388
You were out.
281
00:21:04,471 --> 00:21:06,014
Mmm-hmm. Sleeping good.
282
00:21:07,808 --> 00:21:10,018
- How are you?
- I'm here.
283
00:21:10,102 --> 00:21:12,020
So.
284
00:21:12,104 --> 00:21:14,815
So, had two more cases?
285
00:21:15,399 --> 00:21:18,485
No, it was old cases
that just hadn't gotten over it.
286
00:21:18,568 --> 00:21:19,653
Oh, okay.
287
00:21:19,736 --> 00:21:21,321
- Yeah.
- Okay.
288
00:21:23,573 --> 00:21:27,744
I'm wondering how long I was out.
I'm still feeling tired.
289
00:21:27,828 --> 00:21:29,908
- Half an hour to an hour?
- You're as tired as I was
290
00:21:29,955 --> 00:21:32,374
because you got disturbed
as much as I did last night,
291
00:21:32,457 --> 00:21:34,960
and then I got to sleep today
and you didn't.
292
00:21:35,043 --> 00:21:37,421
Yeah, I didn't get to sleep, so...
293
00:21:38,255 --> 00:21:40,024
Okay, well, let me go
take care of this patient.
294
00:21:40,048 --> 00:21:41,133
All right, then.
295
00:21:42,718 --> 00:21:44,761
My first marriage
didn't do very well.
296
00:21:46,805 --> 00:21:51,226
And my divorce was particularly ugly.
297
00:21:55,022 --> 00:21:56,022
Hello.
298
00:21:56,648 --> 00:21:59,359
I was talking to your wife.
She's really worried about you.
299
00:21:59,443 --> 00:22:01,403
- I've been trying to.
- Okay.
300
00:22:01,445 --> 00:22:05,198
The first year of medical school was
really, really difficult for me.
301
00:22:07,993 --> 00:22:12,414
My ex-husband was, uh...
sent to prison during that time.
302
00:22:14,791 --> 00:22:18,337
I came to school a couple times beat up.
303
00:22:20,339 --> 00:22:23,800
And my faith was shaken during that time.
304
00:22:24,676 --> 00:22:29,306
And then I met Mike
and he's a man of extreme faith.
305
00:22:33,060 --> 00:22:37,230
And what I learned throught that was
that every experience, good or bad,
306
00:22:37,314 --> 00:22:41,693
is building up in me,
like this wall of strength
307
00:22:41,777 --> 00:22:44,696
and that strength gets me through
all of the challenges
308
00:22:44,780 --> 00:22:46,823
that I'm confronted with, big and small.
309
00:22:48,033 --> 00:22:50,160
"James, a servant of God
and the Lord Jesus Christ
310
00:22:50,243 --> 00:22:53,038
to the 12 tribes
scattered among the nations.
311
00:22:53,121 --> 00:22:54,164
'Greetings.
312
00:22:54,247 --> 00:22:58,835
Consider it pure joy, my brothers,
whenever you face trials of many kinds,
313
00:22:58,919 --> 00:23:03,006
because you know that the testing
of your faith develops perseverance.
314
00:23:03,090 --> 00:23:07,636
Perseverance must finish its work
so that you may be mature and complete,
315
00:23:07,719 --> 00:23:09,096
not lacking in anything.
316
00:23:09,179 --> 00:23:12,224
But blessed is the man
who perseveres under trial.'"
317
00:24:09,406 --> 00:24:10,991
Three, two...
318
00:24:34,264 --> 00:24:38,101
We found that there are different
subtypes of virus in these ducks.
319
00:24:39,686 --> 00:24:41,646
These teal are long-distance migrants.
320
00:24:41,730 --> 00:24:44,983
They go from here and they'll go
all the way up to Saskatchewan,
321
00:24:45,901 --> 00:24:47,986
and then they'll come back again
in the fall,
322
00:24:48,069 --> 00:24:50,030
and then they'll go all the way down
to Argentina.
323
00:24:50,113 --> 00:24:51,656
So that's a huge migration.
324
00:24:51,740 --> 00:24:54,576
Along that flyway,
they're either picking something up,
325
00:24:54,659 --> 00:24:56,203
or they're dropping something off.
326
00:24:57,245 --> 00:24:59,456
- Whoa! Hello.
- Nice catch.
327
00:25:07,464 --> 00:25:10,264
Doing these surveillance studies
helps us to understand trends
328
00:25:10,300 --> 00:25:12,469
that are going on with these birds.
329
00:25:12,552 --> 00:25:18,141
In case there's some kind of, let's say,
pandemic, or spillover or something,
330
00:25:18,225 --> 00:25:22,521
we at least have the information and data
to anticipate trends and we're ready.
331
00:25:22,604 --> 00:25:24,981
We're prepared
if there was a flu outbreak.
332
00:25:36,284 --> 00:25:38,995
I thought I was gonna be
a teacher or a police officer,
333
00:25:39,079 --> 00:25:41,248
but the college atmosphere
was where I decided
334
00:25:41,331 --> 00:25:44,292
to go and start working
with students that way.
335
00:25:44,376 --> 00:25:50,090
And for the last 25 years now,
I've been in the sciences like this.
336
00:26:00,308 --> 00:26:03,144
Our big main goal is to see
what the prevalence of flu is
337
00:26:03,228 --> 00:26:07,232
in this area, at this time, right now,
with this population of ducks.
338
00:26:07,315 --> 00:26:09,484
You guys are gonna
hold the ducks like this.
339
00:26:10,068 --> 00:26:12,362
Keep them down by your chest, um...
340
00:26:12,445 --> 00:26:16,783
and we're gonna swab them
orally and cloacally.
341
00:26:16,866 --> 00:26:18,159
Put it in a media tube.
342
00:26:18,243 --> 00:26:20,870
They're gonna give you a number.
I'm gonna give...
343
00:26:20,954 --> 00:26:23,724
Put that number on the tube and then
you're gonna bring them over to Alindy.
344
00:26:23,748 --> 00:26:25,041
She's gonna bleed them.
345
00:26:25,125 --> 00:26:26,805
She's gonna bleed them
through the jugular,
346
00:26:26,876 --> 00:26:29,105
'cause we don't like to wing bleed,
'cause they're migrating.
347
00:26:29,129 --> 00:26:31,047
But remember the number
that Lizzy gives you,
348
00:26:31,131 --> 00:26:33,425
'cause that's the number
that you and I have to match,
349
00:26:33,508 --> 00:26:36,970
and Alindy and I have to match
to make sure we have the right sample.
350
00:26:37,721 --> 00:26:40,724
And then once that we find
if they have had flu,
351
00:26:40,807 --> 00:26:42,892
then we do a lot of serology back off
in the lab.
352
00:26:42,976 --> 00:26:44,144
Sound good?
353
00:26:44,227 --> 00:26:45,997
Does anyone need this duck?
354
00:26:46,021 --> 00:26:47,665
Can I let it go?
'Cause I've been holding it.
355
00:26:47,689 --> 00:26:49,190
Okay. Sound good?
356
00:26:49,733 --> 00:26:52,485
- Do, like... Feel like a "break."
- Let's go.
357
00:26:54,195 --> 00:26:56,489
If they're busy at the table,
let it go.
358
00:26:56,573 --> 00:26:58,283
- Who needs a duck?
- We do.
359
00:26:58,366 --> 00:26:59,618
Six-six-six.
360
00:26:59,701 --> 00:27:00,701
Oh, come on.
361
00:27:00,744 --> 00:27:01,911
Sorry, Alindy.
362
00:27:03,079 --> 00:27:05,457
Okay, we're gonna try to do this for you.
Ready?
363
00:27:09,502 --> 00:27:11,171
That does not seem right.
364
00:27:12,422 --> 00:27:14,424
No, it isn't. Are you ready?
365
00:27:14,507 --> 00:27:16,009
This is gonna seem even worse.
366
00:27:16,551 --> 00:27:18,637
- Are you ready?
- Oh!
367
00:27:18,720 --> 00:27:22,766
Oh, goodness.
I'm a terrible, horrible person, aren't I?
368
00:27:22,849 --> 00:27:25,602
You can let that one go.
Good job.
369
00:27:26,394 --> 00:27:27,729
Yeah, totally let it go.
370
00:27:28,396 --> 00:27:30,482
- Next. What's your number?
- Six-six-seven.
371
00:27:31,858 --> 00:27:32,942
Are you 667?
372
00:27:33,485 --> 00:27:35,945
All right. So... I know.
It makes you all... That's it.
373
00:27:36,029 --> 00:27:36,987
So I'm gonna just help you,
374
00:27:36,988 --> 00:27:38,883
'cause you're gonna be holding
lots of ducks today, okay?
375
00:27:38,907 --> 00:27:41,534
Right there with those big pinkies.
Perfect.
376
00:27:41,618 --> 00:27:44,788
Some of my favorite parts is
the hunters who have killed them
377
00:27:44,871 --> 00:27:47,874
have never held them live,
378
00:27:47,957 --> 00:27:50,627
and then they hold them live
and there's, like, a new perspective.
379
00:27:50,710 --> 00:27:52,188
It doesn't mean
that they're not gonna hunt.
380
00:27:52,212 --> 00:27:54,422
Hunting... I love hunting, myself,
381
00:27:54,506 --> 00:27:58,426
but that perspective of having this,
like, live little creature is...
382
00:27:58,510 --> 00:27:59,790
They don't get that opportunity.
383
00:27:59,844 --> 00:28:01,680
They get the kill opportunity,
384
00:28:01,763 --> 00:28:04,683
but the live opportunity
is always my favorite part
385
00:28:04,766 --> 00:28:06,446
when they come out in the spring to do it.
386
00:28:14,192 --> 00:28:16,361
I have a role
where I can go out in the field,
387
00:28:16,444 --> 00:28:19,698
being part of the pulling of the birds
and the swabbing of the birds,
388
00:28:19,781 --> 00:28:23,118
and then taking those samples
and being able to process them,
389
00:28:23,201 --> 00:28:25,578
all the way to the end, to see the result.
390
00:28:27,789 --> 00:28:31,501
That one sample you bring back
and all the work that went into doing it,
391
00:28:31,584 --> 00:28:37,340
all the people involved in doing that,
that one sample is so important.
392
00:28:37,966 --> 00:28:40,844
This knowledge gives
the scientific community
393
00:28:40,927 --> 00:28:44,222
power to predict and prepare.
394
00:29:18,381 --> 00:29:20,467
As the human population grows,
395
00:29:20,550 --> 00:29:23,344
we see an increased appetite
for animal protein.
396
00:29:24,137 --> 00:29:29,142
And in response, we are raising livestock
at unprecedented levels.
397
00:29:30,769 --> 00:29:36,107
The problem with that is that the sheer
number of animals in a confined space
398
00:29:36,191 --> 00:29:42,655
elevates the risk for a virus
to spread and mutate at a rapid pace.
399
00:29:44,449 --> 00:29:47,827
While we can't predict where the next
influenza pandemic is gonna come from,
400
00:29:47,911 --> 00:29:52,332
there are certain places
that need particular attention.
401
00:29:52,415 --> 00:29:54,417
And China is one of those.
402
00:29:55,627 --> 00:29:58,338
It's the place
where we've seen the emergence
403
00:29:58,421 --> 00:30:02,175
of virtually
all of the deadly influenza viruses
404
00:30:02,258 --> 00:30:03,635
over the last half century.
405
00:30:04,719 --> 00:30:07,305
And it's right across the border
from Vietnam.
406
00:30:08,389 --> 00:30:12,393
And so we set up
across five different border markets
407
00:30:13,061 --> 00:30:15,396
during the influenza season,
408
00:30:15,480 --> 00:30:19,400
a routine monitoring of what in fact
was coming across.
409
00:30:21,402 --> 00:30:22,779
We know from recent history
410
00:30:22,862 --> 00:30:27,700
the consequences of poorly monitoring
the emergence and spread of bird flu.
411
00:30:29,536 --> 00:30:32,997
We at WHO believe that the world is now
412
00:30:33,081 --> 00:30:37,085
in the greatest possible danger
of a pandemic.
413
00:30:37,627 --> 00:30:41,965
In 2005, a new avian flu, H5N1,
414
00:30:42,048 --> 00:30:45,760
had spread out of China
and across Southeast Asia.
415
00:30:46,845 --> 00:30:49,347
The Vietnamese government decided that
416
00:30:49,430 --> 00:30:52,851
they could not, um, coexist with H5N1.
417
00:30:52,934 --> 00:30:56,938
They had to take draconian steps
to really bring it under control.
418
00:30:58,523 --> 00:31:01,484
Vietnam began culling
millions of chickens.
419
00:31:02,610 --> 00:31:04,696
The virus began to dramatically spread
420
00:31:04,779 --> 00:31:08,950
beyond Southeast Asia,
into Europe, and as far as Egypt.
421
00:31:10,910 --> 00:31:14,289
In September, 2005,
the World Health Organization
422
00:31:14,372 --> 00:31:17,333
estimated that avian influenza pandemic
423
00:31:17,417 --> 00:31:20,962
could kill up to
150 million people worldwide.
424
00:31:23,089 --> 00:31:26,092
The national government
essentially made a commitment
425
00:31:26,175 --> 00:31:32,140
to vaccinate virtually
every chicken and duck, um, in Vietnam
426
00:31:32,223 --> 00:31:35,476
to try and break the back
of the outbreaks.
427
00:31:36,394 --> 00:31:40,106
And within four months, they succeeded.
428
00:31:42,233 --> 00:31:45,486
Every epidemic is an opportunity to learn.
429
00:31:46,613 --> 00:31:48,489
We do this all the time.
430
00:31:48,573 --> 00:31:50,491
We are constantly monitoring,
431
00:31:50,575 --> 00:31:54,120
because you never know when something
is going to show up in an animal
432
00:31:54,203 --> 00:31:56,164
and then make the leap to humans.
433
00:31:59,208 --> 00:32:00,209
Karma?
434
00:32:04,589 --> 00:32:05,949
Where is she hiding?
435
00:32:06,382 --> 00:32:07,425
Little cat!
436
00:32:09,677 --> 00:32:10,720
Come and say hi.
437
00:32:12,013 --> 00:32:13,890
Then let's sit outside in the garden.
438
00:32:30,657 --> 00:32:31,741
Welcome, little cat!
439
00:32:32,992 --> 00:32:34,672
This is pretty much home now.
440
00:32:35,495 --> 00:32:37,914
I've been here since 2008.
441
00:32:39,749 --> 00:32:44,003
My wife, Marwa,
we've been married for 16 years.
442
00:32:44,587 --> 00:32:46,255
She's, uh, from Egypt.
443
00:32:47,173 --> 00:32:49,759
I was born in Lebanon in 1975.
444
00:32:55,723 --> 00:32:59,894
That's the year that
the Lebanese Civil War started in Beirut.
445
00:33:01,562 --> 00:33:04,440
I was born in the city at its worst.
446
00:33:05,858 --> 00:33:11,739
And since then, it never really
bounced back and always had trouble.
447
00:33:14,450 --> 00:33:17,453
Lebanese people, we tend to migrate a lot,
448
00:33:17,537 --> 00:33:19,622
simply because there are no opportunities.
449
00:33:19,706 --> 00:33:22,458
So for me, I was lucky,
450
00:33:22,542 --> 00:33:26,462
because I had the chance to go
and get educated out in the West.
451
00:33:28,589 --> 00:33:30,008
The kids have been born here.
452
00:33:30,717 --> 00:33:34,929
Adam who is 14, and Karma,
who's gonna be turning five.
453
00:33:35,013 --> 00:33:37,199
What are you going to play
at the concert?
454
00:33:37,223 --> 00:33:38,474
"Back in Black."
455
00:33:39,517 --> 00:33:41,853
You didn't learn
any Arabic songs whatsoever?
456
00:33:51,070 --> 00:33:52,989
Where we are here,
457
00:33:53,072 --> 00:33:56,993
it's a little bit quieter
than the rest of Cairo.
458
00:34:00,288 --> 00:34:03,166
So, we get to enjoy a little bit of peace,
459
00:34:03,249 --> 00:34:05,793
but the hustle and bustle
is always accessible.
460
00:34:09,464 --> 00:34:10,590
Cairo's a big city.
461
00:34:11,382 --> 00:34:14,552
It's about 25 million people,
so it's quite large.
462
00:34:14,635 --> 00:34:15,845
Very, very extensive.
463
00:34:17,555 --> 00:34:22,560
My work focuses on avian flu
and Egypt is a hot spot for that.
464
00:34:23,394 --> 00:34:30,318
2005, 2006, the avian influenza virus
started moving out from China to Egypt.
465
00:34:30,985 --> 00:34:33,780
So we have been struggling
with it ever since.
466
00:34:33,863 --> 00:34:35,239
It comes back every year.
467
00:34:35,823 --> 00:34:39,535
And this is what motivates us
to continue our work in Egypt.
468
00:34:42,872 --> 00:34:44,207
Karma?
469
00:34:44,290 --> 00:34:46,959
My kids, they know in general what I do.
470
00:34:48,419 --> 00:34:53,758
But I tend not to bring work back home,
because I like to really dedicate
471
00:34:53,841 --> 00:34:56,552
most of my time when I'm at home
to the family.
472
00:34:58,429 --> 00:35:00,306
He's away a lot, actually.
473
00:35:00,389 --> 00:35:02,892
But, uh, we learn to cope with it.
474
00:35:03,935 --> 00:35:05,255
Shall I tickle you?
475
00:35:08,189 --> 00:35:11,109
It's tough on Karma
because she's a little girl
476
00:35:11,192 --> 00:35:14,028
and she asks a lot about him
when he travels.
477
00:35:15,154 --> 00:35:19,242
When she wakes up in the morning and asks,
"Where's Daddy?" she's always sad.
478
00:35:27,667 --> 00:35:31,254
I never spend more
than two to three weeks here in Cairo.
479
00:35:35,716 --> 00:35:37,635
I spend half of my time in Lebanon
480
00:35:37,718 --> 00:35:40,096
and then either the United States,
or somewhere in Europe,
481
00:35:40,179 --> 00:35:42,849
or somewhere in Africa,
depending on what's going on.
482
00:35:43,850 --> 00:35:46,811
It's hard,
but that's the nature of the career.
483
00:35:48,729 --> 00:35:51,649
These viruses are circulating
all the time.
484
00:35:53,234 --> 00:35:54,610
I'm trying to keep up.
485
00:36:13,754 --> 00:36:16,799
This morning,
through a call from the control room...
486
00:36:17,425 --> 00:36:20,136
I got to know about your two children
who are positive.
487
00:36:30,313 --> 00:36:32,899
What happened to the five-year-old child?
488
00:36:32,982 --> 00:36:34,817
Only cough and fever.
489
00:36:34,901 --> 00:36:37,737
- Since when he is sick?
- Since January, he was sick.
490
00:36:39,697 --> 00:36:44,076
This medicine, Tamiflu,
is given to treat swine flu.
491
00:36:45,119 --> 00:36:47,679
You too, from today onwards
will start taking medicine with them.
492
00:36:48,873 --> 00:36:50,791
You know how swine flu spreads?
493
00:36:51,834 --> 00:36:54,003
When we're sneezing, coughing?
494
00:36:54,086 --> 00:36:56,964
Look on his face. Need to keep this clean.
495
00:36:58,174 --> 00:37:01,177
These are my children,
this much I will definitely do.
496
00:37:03,804 --> 00:37:06,182
In the beginning,
it was not spreading so much,
497
00:37:06,265 --> 00:37:08,684
so the government did not pay
much attention.
498
00:37:08,768 --> 00:37:11,479
But now prevention care has increased.
499
00:37:11,562 --> 00:37:14,607
For that, we have
implemented this strategy.
500
00:37:15,816 --> 00:37:17,652
Which pregnant lady
were you talking about?
501
00:37:18,986 --> 00:37:20,780
- Nasira!
- Come up.
502
00:37:21,364 --> 00:37:22,740
We'll go down.
503
00:37:23,574 --> 00:37:26,374
- Let's go downstairs.
- Call her. What's her name?
504
00:37:27,286 --> 00:37:32,208
This is a very
densely populated area. Many families.
505
00:37:32,291 --> 00:37:36,879
One germ can multiply into thousands
506
00:37:36,963 --> 00:37:41,259
and spread rapidly and continuously,
so the whole community is affected.
507
00:37:42,593 --> 00:37:44,804
When did you learn about the pregnancy?
508
00:37:46,055 --> 00:37:48,015
A couple of months ago.
509
00:37:49,350 --> 00:37:52,019
He is her husband, explain to him.
She is his second wife.
510
00:37:52,103 --> 00:37:54,605
As you are staying with her,
511
00:37:54,689 --> 00:37:57,275
your two children
with your other wife are sick.
512
00:37:57,358 --> 00:38:00,027
Keep her away from those kids.
513
00:38:00,111 --> 00:38:01,487
Because... Yes.
514
00:38:01,570 --> 00:38:04,407
Because of their illness,
she might have to suffer.
515
00:38:04,490 --> 00:38:07,493
She'll be at a high risk and there may be
a threat to her and the child...
516
00:38:13,082 --> 00:38:15,459
We told them that a positive case
was reported here.
517
00:38:17,044 --> 00:38:21,799
So some were alarmed, some were concerned.
518
00:38:21,882 --> 00:38:22,943
What will happen to us?
519
00:38:22,967 --> 00:38:25,553
There is no problem, come out.
There is no problem.
520
00:38:26,137 --> 00:38:28,264
We are from the hospital.
521
00:38:28,347 --> 00:38:33,019
You have to take Tamiflu,
because you are close to a swine flu case.
522
00:38:34,562 --> 00:38:38,941
We send a team to conduct surveys
within a radius of one kilometer.
523
00:38:42,236 --> 00:38:43,946
This is good work.
524
00:38:44,030 --> 00:38:46,198
It's a good step from the government.
525
00:38:46,282 --> 00:38:49,035
Even if we miss one case,
we still find 100 cases.
526
00:38:49,118 --> 00:38:51,078
And we stopped 500 from happening.
527
00:38:51,162 --> 00:38:53,539
Is anyone sick in your house?
528
00:38:53,622 --> 00:38:55,583
Cough, cold, fever...
529
00:38:58,085 --> 00:39:01,213
The problem is,
everyone should be vaccinated.
530
00:39:01,297 --> 00:39:03,007
But it is a costly vaccine.
531
00:39:03,591 --> 00:39:06,344
And our population
is very high.
532
00:39:07,511 --> 00:39:11,390
It is hard for health care workers
to reach every corner.
533
00:39:12,266 --> 00:39:16,604
That's why in India, there is
higher activity of flu during epidemics.
534
00:39:29,992 --> 00:39:31,911
So, we just have three.
535
00:39:32,620 --> 00:39:35,456
These two are stable.
I've seen everybody today.
536
00:39:35,539 --> 00:39:38,417
She came in yesterday, had had the flu,
537
00:39:38,501 --> 00:39:41,379
got a little bit better
and then suddenly got really bad.
538
00:39:41,462 --> 00:39:44,215
Had a fever of over 103,
has bilateral pneumonia.
539
00:39:44,298 --> 00:39:45,942
So we may have to watch that a little bit.
540
00:39:45,966 --> 00:39:47,093
Okay, sounds good.
541
00:39:50,596 --> 00:39:51,806
Bye, Lizzie.
542
00:39:51,889 --> 00:39:53,933
Bye. See you later, Dr. Goracke.
543
00:39:56,185 --> 00:39:58,437
When I begin
my 72-hour shift,
544
00:39:58,521 --> 00:40:01,107
I'm kind of in this high-energy mode.
545
00:40:03,275 --> 00:40:06,487
About 12 to 15 hours
before the end of the shift,
546
00:40:06,570 --> 00:40:10,658
that's when I begin to feel
that fatigue sets in.
547
00:40:21,293 --> 00:40:23,838
Probably at least
three to four times a month,
548
00:40:23,921 --> 00:40:28,801
I think, "Ugh. I can't do this anymore.
I'm done. It's just too hard."
549
00:40:30,052 --> 00:40:32,221
And then I get some sleep
and I feel better.
550
00:40:33,055 --> 00:40:35,975
Or something really great happens,
or, you know...
551
00:40:38,185 --> 00:40:40,938
Something happens that changes my mind
and I do better.
552
00:40:54,076 --> 00:40:55,786
Father in Heaven, we thank you so much.
553
00:40:55,870 --> 00:40:59,623
Thank you for the time to be able to come
together in your presence with friends.
554
00:40:59,707 --> 00:41:01,667
Lord, thank you for this meal.
555
00:41:01,750 --> 00:41:04,628
We always wanna give you praise and glory.
In Christ Jesus' name. Amen.
556
00:41:04,712 --> 00:41:06,912
- Great.
- Holly, I brought out your good napkins.
557
00:41:06,964 --> 00:41:08,340
Oh, good. Do you want...
558
00:41:08,424 --> 00:41:13,512
We love entertaining people at our home
and we have some incredibly great friends.
559
00:41:13,596 --> 00:41:14,597
Yeah.
560
00:41:15,764 --> 00:41:20,519
And one of the main focuses
of our private time
561
00:41:20,603 --> 00:41:22,146
has been prayer with our friends.
562
00:41:22,229 --> 00:41:23,981
All right, Lord, thank you so much.
563
00:41:24,064 --> 00:41:26,358
Lord Heavenly Father,
we come before you tonight...
564
00:41:29,653 --> 00:41:32,239
Just pray that you would
guide the doctors' hands
565
00:41:32,323 --> 00:41:35,075
and let them see everything,
uncover everything.
566
00:41:35,159 --> 00:41:37,620
That you would keep them safe
as much as they travel...
567
00:41:37,703 --> 00:41:39,473
Lord, I thank you
for this prayer right now.
568
00:41:53,010 --> 00:41:54,010
Are we good?
569
00:41:57,097 --> 00:41:59,099
When I dedicated my life to Jesus,
570
00:41:59,183 --> 00:42:02,853
I said, "I'm not going to be
like the world anymore.
571
00:42:02,937 --> 00:42:03,937
I'm gonna be like Jesus,"
572
00:42:03,979 --> 00:42:07,858
and Jesus was loving and he was kind
and he laid down his life for others.
573
00:42:09,151 --> 00:42:12,029
I have my own little place
in the community.
574
00:42:12,655 --> 00:42:15,157
But from my tiny little place,
it ripples outward
575
00:42:15,241 --> 00:42:19,286
and I know that there are hundreds,
maybe thousands of lives
576
00:42:19,370 --> 00:42:22,456
that are different
because they came in contact with me.
577
00:42:24,041 --> 00:42:28,379
And there's still a lot of time left
of this year's flu season,
578
00:42:28,462 --> 00:42:32,049
so I have to just be in prayer that God
has it in His hands
579
00:42:32,132 --> 00:42:36,303
and I can continue to do
what I'm supposed to do in His will.
580
00:42:51,610 --> 00:42:52,850
Coffee.
581
00:42:53,862 --> 00:42:56,699
Coffee, coffee, coffee.
582
00:43:03,247 --> 00:43:04,999
I have a pretty full day, every day.
583
00:43:06,375 --> 00:43:09,670
But coffee...
584
00:43:10,337 --> 00:43:11,964
Starts in the morning with coffee.
585
00:43:15,801 --> 00:43:19,847
I was born here
and it's still my favorite city,
586
00:43:19,930 --> 00:43:21,223
my favorite place to be.
587
00:43:22,808 --> 00:43:27,771
Every time I come back, it just brings
me back to my childhood, early days.
588
00:43:30,524 --> 00:43:35,404
So the samples that we have been
collecting over the last three days,
589
00:43:35,487 --> 00:43:37,781
we're gonna run
some molecular analyses on them
590
00:43:37,865 --> 00:43:40,534
and that will tell us
if we have the virus itself.
591
00:43:40,618 --> 00:43:42,494
Do we have influenza or not?
592
00:43:51,795 --> 00:43:54,173
All of my staff are graduate students.
593
00:43:54,256 --> 00:43:57,801
So as they're working on the project,
they're also learning.
594
00:43:58,510 --> 00:44:02,222
I did my PhD at the University of Iowa
in the United States.
595
00:44:02,890 --> 00:44:07,394
So for me, having graduate students
start developing their careers
596
00:44:07,478 --> 00:44:10,481
while they're working on a problem
that's relevant to their countries
597
00:44:10,564 --> 00:44:13,067
and doing it in their countries,
598
00:44:13,150 --> 00:44:15,027
it's incredibly important.
599
00:44:19,907 --> 00:44:20,907
Science has
600
00:44:20,908 --> 00:44:23,285
always been my passion
since I was a child.
601
00:44:23,369 --> 00:44:26,705
I've always wanted to be like...
602
00:44:26,789 --> 00:44:29,726
Do you know how Einstein looked while
he was working, with his scruffy hair?
603
00:44:29,750 --> 00:44:32,586
I really liked that,
I wanted to be the same.
604
00:44:32,670 --> 00:44:35,589
Without the scruffy hair.
605
00:44:37,299 --> 00:44:42,638
Dr. Ghazi is my mentor and everything
I learned is coming from him.
606
00:44:42,721 --> 00:44:46,558
He doesn't approach science
in a conventional way.
607
00:44:46,642 --> 00:44:51,647
Actually, we're supposed to be
interested in what we do.
608
00:44:51,730 --> 00:44:53,065
To do something that we love.
609
00:44:58,987 --> 00:44:59,987
Chief!
610
00:45:00,781 --> 00:45:01,739
Let's take this.
611
00:45:01,740 --> 00:45:02,759
What do we have here?
612
00:45:02,783 --> 00:45:06,203
It looks like we have some activity.
613
00:45:09,581 --> 00:45:11,417
So we do have a finding.
614
00:45:12,876 --> 00:45:16,547
We have to have a certain number
in order to call something positive.
615
00:45:16,630 --> 00:45:18,465
We use a cutoff point of 80.
616
00:45:19,758 --> 00:45:22,302
- So H was what again?
- Human.
617
00:45:22,386 --> 00:45:24,847
- Where was his origin? Backyard?
- Yeah.
618
00:45:26,306 --> 00:45:28,284
Thirty-two,
which we call the negative.
619
00:45:28,308 --> 00:45:33,272
Not high enough to call him positive,
so it's below the limit that we detect.
620
00:45:33,355 --> 00:45:37,526
Second human, another backyard.
He's at 64.
621
00:45:37,609 --> 00:45:40,028
We would still call that a negative.
622
00:45:40,112 --> 00:45:43,741
And the third human,
I think we sampled at the farm.
623
00:45:43,824 --> 00:45:45,951
That's another negative.
624
00:45:47,327 --> 00:45:49,288
For the bats, they're below 40.
625
00:45:49,830 --> 00:45:53,083
None of them make the cut,
so we're gonna call them negative.
626
00:45:53,667 --> 00:45:56,462
But then we have a chicken that's 256.
627
00:45:57,045 --> 00:46:01,133
So that's definitely a positive
for avian influenza H9N2.
628
00:46:02,509 --> 00:46:03,802
That was on the farm.
629
00:46:03,886 --> 00:46:06,221
On the farm, the virus
is what we call endemic,
630
00:46:06,305 --> 00:46:07,973
which means it's always around.
631
00:46:09,141 --> 00:46:10,726
Either the chickens were vaccinated,
632
00:46:10,809 --> 00:46:13,437
or during their growing period,
they had an infection.
633
00:46:14,271 --> 00:46:15,731
This is very, very expected.
634
00:46:16,398 --> 00:46:19,860
Nothing of concern,
but this is the nature of surveillance.
635
00:46:21,820 --> 00:46:25,324
Regardless, this is a good
learning experience for my students.
636
00:46:26,575 --> 00:46:29,745
We have some antibodies.
Why don't we have virus?
637
00:46:29,828 --> 00:46:31,955
It might be
because of vaccination.
638
00:46:32,956 --> 00:46:34,236
Could be. One more.
639
00:46:34,291 --> 00:46:36,752
Distance. Is the distance between...
640
00:46:36,835 --> 00:46:38,646
Distance between, all right.
641
00:46:38,670 --> 00:46:41,131
But it's not what I'm thinking of,
so one more.
642
00:46:41,215 --> 00:46:45,803
What do we know
about an infection or an activity of...
643
00:46:45,886 --> 00:46:46,946
Anomalies or something?
644
00:46:46,970 --> 00:46:48,972
- The...
- Anomalies.
645
00:46:49,056 --> 00:46:50,057
The cold weather.
646
00:46:50,140 --> 00:46:51,350
Seasonality.
647
00:46:51,433 --> 00:46:53,727
We're a little bit out of
the influenza season,
648
00:46:53,811 --> 00:46:55,103
that's why we don't see it much.
649
00:46:55,187 --> 00:47:00,442
Um, influenza season picks up its activity
during the warmer months,
650
00:47:00,526 --> 00:47:04,905
so if April, May, then you...
We expect to see more.
651
00:47:04,988 --> 00:47:06,948
- Okay.
- Good job, everyone.
652
00:47:07,449 --> 00:47:08,449
Let's eat.
653
00:47:15,541 --> 00:47:17,185
I'm going to be
the president of the table?
654
00:47:17,209 --> 00:47:18,377
Yeah.
655
00:47:23,340 --> 00:47:25,384
Tomorrow, we need to return to Egypt.
656
00:47:26,176 --> 00:47:29,137
A new avian influenza has been detected.
657
00:47:29,805 --> 00:47:32,266
And it's essential
that we begin surveillance.
658
00:47:34,643 --> 00:47:37,729
We work under what we call
the "One Health" perspective,
659
00:47:37,813 --> 00:47:41,817
so we strongly believe that the health
of humans, of animals,
660
00:47:41,900 --> 00:47:43,986
of environments, of ecosystems,
661
00:47:44,069 --> 00:47:47,406
are all interconnected
and influenza is a great example.
662
00:47:49,032 --> 00:47:51,451
The bird migration patterns,
663
00:47:51,535 --> 00:47:55,247
as well as travel routes for
commercial airlines and people...
664
00:47:55,330 --> 00:48:01,253
So anything can affect any country and
any country can affect other countries.
665
00:48:02,921 --> 00:48:06,967
If something happens, the problem is that
it spreads rapidly between countries...
666
00:48:08,385 --> 00:48:10,304
before we're prepared.
667
00:48:20,188 --> 00:48:22,357
2,000 years ago,
it's hard to imagine,
668
00:48:22,441 --> 00:48:24,818
but this was a robust, dynamic community.
669
00:48:26,320 --> 00:48:28,614
The Roman forum was the seat of power,
670
00:48:28,697 --> 00:48:31,366
both political and economic power,
671
00:48:31,450 --> 00:48:35,579
and never would they have imagined,
2,000 years later,
672
00:48:35,662 --> 00:48:38,290
we'd be standing here
looking over their ruins.
673
00:48:39,166 --> 00:48:43,879
The very idea that their civilization
wasn't a permanent civilization,
674
00:48:43,962 --> 00:48:46,173
just was something
they would never have grasped.
675
00:48:48,717 --> 00:48:51,970
Two thousand years later,
we're in exactly the same situation.
676
00:48:52,054 --> 00:48:55,057
We think the world we live in
is permanent.
677
00:48:56,975 --> 00:48:59,269
This is the eternal city
and if nothing else,
678
00:48:59,353 --> 00:49:02,397
the eternal city tells us
nothing is eternal, right?
679
00:49:02,481 --> 00:49:04,191
All things must pass.
680
00:49:05,150 --> 00:49:08,278
And to avoid the worst
consequences of change,
681
00:49:08,362 --> 00:49:12,741
we're going to have to change
the way we live on this planet.
682
00:49:13,575 --> 00:49:16,995
If we don't, then we are gonna pay
a severe price.
58509
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