Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
1
00:00:06,000 --> 00:00:12,074
Advertise your product or brand here
contact www.OpenSubtitles.org today
2
00:00:32,198 --> 00:00:35,243
Indianola School says
they will be closed tomorrow
3
00:00:35,326 --> 00:00:37,954
because about 20% of their students
are out with the flu.
4
00:00:38,038 --> 00:00:41,583
Western Heights says they've
had so many student and teacher absences,
5
00:00:41,666 --> 00:00:43,585
canceling school was the best option.
6
00:00:43,668 --> 00:00:47,547
...schools in Braggs
right now are closed, 47 were out sick...
7
00:00:47,630 --> 00:00:50,759
145 students
called in sick on Monday.
8
00:00:50,842 --> 00:00:52,653
After an increase in reported absences,
9
00:00:52,677 --> 00:00:56,181
both Seymour and the Archer City ISD
will be closed tomorrow.
10
00:00:56,264 --> 00:00:58,892
A Muskogee school counselor is dead,
11
00:00:58,975 --> 00:01:01,144
making her one of the hundreds
of Oklahomans
12
00:01:01,227 --> 00:01:03,438
who have now fallen victim
to this year's flu virus.
13
00:01:17,994 --> 00:01:20,622
All right, so how long
have you been sick?
14
00:01:20,705 --> 00:01:22,224
- Just today.
- Just today.
15
00:01:22,248 --> 00:01:24,501
Did it kind of come on you
all of a sudden?
16
00:01:25,168 --> 00:01:27,462
I went to work this morning.
I was okay.
17
00:01:27,545 --> 00:01:29,273
- Like, my teeth was hurting.
- Mmm-hmm.
18
00:01:29,297 --> 00:01:32,550
Like, tender and I had a headache,
but nothing else.
19
00:01:32,634 --> 00:01:36,137
And did you feel body aches
and feel like you were getting a fever...
20
00:01:36,221 --> 00:01:37,865
- My skin feels like it's burning.
- Oh.
21
00:01:37,889 --> 00:01:40,225
- Eyes are hot?
- My eyes feel like they're burning.
22
00:01:40,308 --> 00:01:41,619
And then
what are her symptoms?
23
00:01:41,643 --> 00:01:43,686
She's got
a runny nose and a cough.
24
00:01:43,770 --> 00:01:46,165
And have you been exposed
to anybody that's had the flu?
25
00:01:46,189 --> 00:01:48,775
The county that we live in,
they just closed the school
26
00:01:48,858 --> 00:01:50,503
- because of flu.
- Did they?
27
00:01:50,527 --> 00:01:54,531
I think they get past 20%
and they don't send kids to school.
28
00:01:54,614 --> 00:01:57,826
It does help us stop the flu as well.
It stops the spread.
29
00:01:57,909 --> 00:02:00,429
When am I going to be able
to go back to work? Tomorrow?
30
00:02:00,495 --> 00:02:04,541
If you have a temperature
greater than 100.4,
31
00:02:04,624 --> 00:02:06,584
then you really need to be
out of the public.
32
00:02:08,128 --> 00:02:10,255
If those parents
that are in the workforce,
33
00:02:10,338 --> 00:02:13,883
their kids are at home,
they either have to find childcare
34
00:02:13,967 --> 00:02:17,303
so that they can go to work,
or they have to be off work.
35
00:02:17,387 --> 00:02:19,764
All right, it's just a light...
36
00:02:20,598 --> 00:02:23,434
Some of them may have sick days
and some of them may not.
37
00:02:23,518 --> 00:02:27,647
So it expands and we have parents
that are now out of work.
38
00:02:28,815 --> 00:02:32,068
Okay, I'll put together your paperwork
and we'll let you get out of here.
39
00:02:32,152 --> 00:02:34,863
It is a huge struggle,
it's a financial struggle,
40
00:02:34,946 --> 00:02:37,949
it's a mental struggle, physical struggle,
emotional struggle.
41
00:02:39,242 --> 00:02:40,886
I know this is hard to believe,
42
00:02:40,910 --> 00:02:43,121
but 3,000 people across
the state of Oklahoma
43
00:02:43,204 --> 00:02:46,541
have gotten so sick, they've actually
had to go to the hospital.
44
00:02:47,625 --> 00:02:50,044
And there's still nine weeks left
in the flu season.
45
00:03:32,212 --> 00:03:33,212
Hello?
46
00:03:34,255 --> 00:03:36,382
Okay,
the one who was very serious,
47
00:03:36,466 --> 00:03:39,344
and asked me to prescribe the medicine?
48
00:03:39,427 --> 00:03:40,929
Is there some relief?
49
00:03:42,096 --> 00:03:43,514
So you are feeling much better?
50
00:03:43,598 --> 00:03:46,517
My wife is a doctor at Durlabhji as well.
51
00:03:47,685 --> 00:03:50,188
We have an agreement between us:
52
00:03:50,271 --> 00:03:53,441
when she's in the hospital,
I take care of the family.
53
00:03:53,524 --> 00:03:56,527
When I'm in the hospital,
she takes care of the family.
54
00:03:57,612 --> 00:04:00,615
She works only limited hours.
55
00:04:01,282 --> 00:04:04,369
She made this sacrifice for my sake.
56
00:04:04,452 --> 00:04:07,292
So one person could move ahead
while the other takes care of the family.
57
00:04:11,459 --> 00:04:15,880
There were financial difficulties
in paying for my education.
58
00:04:17,215 --> 00:04:21,511
I just had a few clothes
and I borrowed my text books.
59
00:04:23,846 --> 00:04:26,307
Then gradually, after completing my MD,
60
00:04:26,391 --> 00:04:27,600
my life straightened out.
61
00:04:29,519 --> 00:04:31,479
- Manish Ji, are you ready?
- Hmm.
62
00:04:32,230 --> 00:04:33,481
- Should I do your hair?
- Hmm.
63
00:04:35,024 --> 00:04:37,610
I have experienced poverty,
64
00:04:40,280 --> 00:04:42,865
and now, with God's grace,
I have a lot.
65
00:04:47,120 --> 00:04:49,831
So I know the difficulties
faced by the poor.
66
00:04:49,914 --> 00:04:54,252
The poor are at the greatest risk
of the flu.
67
00:04:55,795 --> 00:04:59,590
A doctor alone cannot do
anything in tackling this flu.
68
00:04:59,674 --> 00:05:01,801
The government cannot
tackle it alone.
69
00:05:01,884 --> 00:05:03,636
Neither can the public.
70
00:05:04,470 --> 00:05:08,266
It can be defeated
only if all three work together.
71
00:05:10,018 --> 00:05:13,730
Rajasthan accounts
for nearly 70% of the swine flu cases
72
00:05:13,813 --> 00:05:15,732
being reported from across the country.
73
00:05:16,733 --> 00:05:18,669
This is the failure
of the health department
74
00:05:18,693 --> 00:05:21,029
under the health minister, Raghu Sharma.
75
00:05:21,738 --> 00:05:24,699
Rajasthan has lost 49 lives
due to swine flu.
76
00:05:30,663 --> 00:05:33,291
Why is the percentage
of deaths increasing?
77
00:05:39,756 --> 00:05:41,716
People's health is our responsibility.
78
00:05:42,467 --> 00:05:44,385
This means we are shirking our duty.
79
00:05:46,429 --> 00:05:49,140
As soon as someone is found positive,
80
00:05:49,223 --> 00:05:52,060
then your department team
will visit them the next day.
81
00:05:53,144 --> 00:05:54,562
What are you busy doing?
82
00:05:54,645 --> 00:05:55,813
I'm taking notes.
83
00:05:55,897 --> 00:05:57,231
He's the one who is taking notes.
84
00:05:59,777 --> 00:06:01,779
You should be doing this on your own.
85
00:06:01,861 --> 00:06:03,279
Make me the director, I will do it.
86
00:06:03,363 --> 00:06:05,323
You can come here and be a minister.
87
00:06:07,241 --> 00:06:10,995
If we don't take corrective measures,
then it is our fault, isn't it?
88
00:06:12,246 --> 00:06:16,000
Our attention is elsewhere,
89
00:06:16,084 --> 00:06:17,168
not on this.
90
00:06:18,461 --> 00:06:20,546
That is a sickness in our department.
91
00:06:25,051 --> 00:06:27,220
Have you prepared all the instructions?
92
00:06:27,804 --> 00:06:28,805
What are those?
93
00:06:28,888 --> 00:06:32,308
Sir, first of all,
94
00:06:32,392 --> 00:06:35,686
there will be a daily monitoring
of house-to-house activities in the city.
95
00:06:35,770 --> 00:06:38,481
You will do screenings?
96
00:06:39,649 --> 00:06:42,026
You should do continuous screenings.
97
00:06:42,110 --> 00:06:43,736
We will monitor...
98
00:06:43,820 --> 00:06:47,532
Of course, you will be monitoring,
but complete screenings should carry on.
99
00:06:51,411 --> 00:06:53,889
In an effort to curb
the spread, the Rajasthan health minister
100
00:06:53,913 --> 00:06:58,084
has now ordered
door-to-door screenings of patients.
101
00:07:01,963 --> 00:07:03,339
Yes, sir?
102
00:07:04,507 --> 00:07:06,843
This is
the swine flu control room.
103
00:07:08,803 --> 00:07:10,721
Now, tell me, how is your health?
104
00:07:11,556 --> 00:07:15,017
Madam, there are two patients,
105
00:07:15,101 --> 00:07:16,769
they are positive for swine flu.
106
00:07:18,521 --> 00:07:20,606
Can you tell me your address,
where are you from?
107
00:07:21,941 --> 00:07:25,528
Can you provide any landmark
near your location?
108
00:07:25,611 --> 00:07:27,989
So we can confirm a visit
to your place?
109
00:07:28,072 --> 00:07:32,452
Ma'am, the two cases are positive
from the same house for swine flu.
110
00:07:34,120 --> 00:07:36,873
Let me know your ward number,
111
00:07:36,956 --> 00:07:40,084
and our survey team will contact you.
112
00:07:40,585 --> 00:07:44,589
Near the post office. Post office.
113
00:07:50,678 --> 00:07:52,805
The address
is near the post office.
114
00:07:59,562 --> 00:08:02,482
Is anyone there?
Can you come out?
115
00:08:20,500 --> 00:08:24,879
The thing about controlling
a deadly virus...
116
00:08:25,630 --> 00:08:29,300
is you need to move from being
reactive to proactive.
117
00:08:31,260 --> 00:08:36,098
We know that viruses move from wildlife
into livestock into people.
118
00:08:37,391 --> 00:08:40,937
And so you don't wait for an outbreak
to infect humans,
119
00:08:41,020 --> 00:08:46,234
you find it and you fight it
before it ever infects a person.
120
00:08:55,868 --> 00:08:58,829
FAO is looking at what's happening
in animals,
121
00:08:58,913 --> 00:09:03,334
broadening our surveillance strategy
to look upstream.
122
00:09:04,168 --> 00:09:08,047
Usually, we would see
the clinical picture in animals
123
00:09:08,130 --> 00:09:10,883
before humans become infected.
124
00:09:11,634 --> 00:09:14,345
And it just bothers me when the report
125
00:09:14,428 --> 00:09:15,989
- first comes out of humans.
- Yeah.
126
00:09:16,013 --> 00:09:20,184
And not picking it up
two or three weeks earlier in livestock.
127
00:09:22,270 --> 00:09:26,816
We have a team that brings information
together from different sources,
128
00:09:26,899 --> 00:09:28,859
including our field teams.
129
00:09:31,654 --> 00:09:35,366
I just received an email
from Russia.
130
00:09:35,449 --> 00:09:39,662
Basically, we asked
about this H5N6, remember?
131
00:09:39,745 --> 00:09:42,832
It seems to come from a gray gull in...
132
00:09:42,915 --> 00:09:47,086
So they actually went to check for a virus
and they couldn't find it?
133
00:09:47,169 --> 00:09:49,213
Yes. It was a result
of active surveillance.
134
00:09:49,297 --> 00:09:51,716
- Okay.
- Which, it does matter
135
00:09:51,799 --> 00:09:54,552
because apparently the prevalence
was sufficiently high.
136
00:09:54,635 --> 00:09:55,595
Yeah.
137
00:09:55,596 --> 00:10:01,602
So we may, uh, see this virus next winter
138
00:10:01,684 --> 00:10:04,478
- being the main actor on the stage.
- Yeah, who knows?
139
00:10:10,067 --> 00:10:13,195
But if we can go ahead
and, uh, get started...
140
00:10:14,697 --> 00:10:16,032
Paul, you have something?
141
00:10:16,574 --> 00:10:19,619
Uh, there is an interesting
detection of H5N6
142
00:10:19,702 --> 00:10:21,954
in the Saratov region
in the Russian Federation.
143
00:10:22,038 --> 00:10:25,124
And this is the first report
of this virus outside Asia.
144
00:10:26,208 --> 00:10:31,672
This is closely related to the viruses
that are circulating in China
145
00:10:31,756 --> 00:10:34,634
and caused several human infections,
146
00:10:34,717 --> 00:10:37,011
and some of them were fatal cases.
147
00:10:39,639 --> 00:10:44,727
For us, it's quite important,
the triggers and the line of command
148
00:10:44,810 --> 00:10:48,481
within the veterinary system
or a veterinary service.
149
00:10:48,564 --> 00:10:52,485
Once we have that detection,
what happens next?
150
00:10:53,194 --> 00:10:57,657
How it links up to the medical services
and how we react to that detection.
151
00:10:57,740 --> 00:11:01,494
Closing down the markets,
ensuring that consumers are safe,
152
00:11:01,577 --> 00:11:04,997
that there is good communication
between the veterinary arm
153
00:11:05,081 --> 00:11:07,958
- and the public health arm at all times.
- Right.
154
00:11:08,042 --> 00:11:10,127
With the proper risk mitigation measures,
155
00:11:10,211 --> 00:11:15,216
there's no excuse for any outbreak
becoming more than an outbreak.
156
00:11:15,299 --> 00:11:19,261
But it all begins with timely
and effective surveillance.
157
00:11:35,820 --> 00:11:37,839
- We're here with the band.
- What's that?
158
00:11:37,863 --> 00:11:41,575
- We're here with the band.
- Yeah, well, park right behind Brad.
159
00:11:41,659 --> 00:11:43,077
- Behind him?
- Yeah.
160
00:11:44,078 --> 00:11:45,078
Okay.
161
00:11:47,540 --> 00:11:48,541
Gear it up.
162
00:11:52,044 --> 00:11:54,213
So much... all right.
163
00:12:05,307 --> 00:12:08,018
So is Paul gonna take two trips?
We'll do two trips?
164
00:12:08,102 --> 00:12:09,478
- One trip...
- One trip with him.
165
00:12:09,562 --> 00:12:11,564
...with the ranger on that trailer
166
00:12:11,647 --> 00:12:13,875
and then the four wheeler on the one
that's hooked up to Brad's truck.
167
00:12:13,899 --> 00:12:14,899
Okay.
168
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
169
00:12:30,541 --> 00:12:32,209
to understand the full dynamics.
170
00:12:33,419 --> 00:12:34,670
You can't see it.
171
00:12:34,754 --> 00:12:37,757
The ducks aren't sneezing,
they're not coughing.
172
00:12:38,674 --> 00:12:40,217
But they have the flu.
173
00:12:43,220 --> 00:12:45,514
Wild birds are the ones
that are moving it.
174
00:12:45,598 --> 00:12:47,349
That's how the flu is getting moved.
175
00:13:04,658 --> 00:13:07,703
We're gonna catch these birds in this net.
There's rockets attached to it.
176
00:13:08,537 --> 00:13:11,290
Those rockets are gonna fire
when the birds are ready to be caught,
177
00:13:11,373 --> 00:13:12,792
when they're all balled up.
178
00:13:12,875 --> 00:13:14,376
The net's gonna go over the birds
179
00:13:14,460 --> 00:13:16,940
and groups of people are gonna go out
and take those birds out,
180
00:13:17,004 --> 00:13:18,798
we're gonna put them in keeping cages.
181
00:13:18,881 --> 00:13:20,591
I'm gonna swab them.
182
00:13:21,884 --> 00:13:25,346
And then those swab samples
will go back to the lab,
183
00:13:26,138 --> 00:13:29,558
to see what subtypes of influenza
come through here.
184
00:13:43,656 --> 00:13:46,867
Let's say there's a flu outbreak
at a chicken farm.
185
00:13:47,660 --> 00:13:49,620
The flu didn't start there.
186
00:13:49,703 --> 00:13:51,539
Maybe a hunter went out
and shot something,
187
00:13:51,622 --> 00:13:53,123
and then didn't clean his boots off,
188
00:13:53,207 --> 00:13:56,585
and went into the chicken house,
and, you know, spread all this flu.
189
00:13:57,795 --> 00:14:01,715
Wild birds are the movers of this virus.
That's what they do.
190
00:14:02,883 --> 00:14:04,361
Be ready to go
when you hear the shot.
191
00:14:04,385 --> 00:14:07,305
Get down there as quick as you can.
Grab a crate, and start pulling birds.
192
00:14:07,513 --> 00:14:08,806
- Now, we...
- Yeah.
193
00:14:08,889 --> 00:14:10,808
Okay. Now, we just wait.
194
00:15:02,401 --> 00:15:04,528
My job is like
being a watchman.
195
00:15:16,749 --> 00:15:20,461
A lot of the scary viruses in recent years
have been linked to bats.
196
00:15:20,544 --> 00:15:21,813
- Come over here.
- Yeah, yeah.
197
00:15:21,837 --> 00:15:23,437
- Okay?
- Yeah, let's go.
198
00:15:24,548 --> 00:15:25,549
There they are.
199
00:15:25,633 --> 00:15:26,967
Ebola, for example.
200
00:15:27,051 --> 00:15:29,970
Coronaviruses, whether SARS or MERS.
201
00:15:34,516 --> 00:15:36,119
When they are in groups
you can catch them easily.
202
00:15:36,143 --> 00:15:37,423
You can't catch them one by one.
203
00:15:37,686 --> 00:15:38,687
Okay.
204
00:15:44,193 --> 00:15:45,193
Got it.
205
00:15:45,736 --> 00:15:46,736
Okay.
206
00:15:47,571 --> 00:15:52,284
And we now know that bats
can be a reservoir for the flu.
207
00:15:54,912 --> 00:15:57,247
My team and I believe we have discovered
208
00:15:57,331 --> 00:16:01,085
a new subtype of influenza
in fruit bats in Egypt.
209
00:16:02,836 --> 00:16:07,925
And I want to test these bats in Lebanon
to see if this virus is spreading.
210
00:16:12,554 --> 00:16:14,223
The young ones, they might bite.
211
00:16:17,017 --> 00:16:21,522
And you can see the teeth
are still clean and still sharp.
212
00:16:21,605 --> 00:16:22,731
Yeah, sharp and clean.
213
00:16:23,649 --> 00:16:24,649
Off you go.
214
00:16:26,860 --> 00:16:27,860
Next.
215
00:16:28,862 --> 00:16:33,409
The more we know about where viruses
come from, the better we are prepared.
216
00:16:33,993 --> 00:16:36,286
What we can do is study them
before they mutate,
217
00:16:36,370 --> 00:16:39,623
try to predict which route
they might take.
218
00:16:44,211 --> 00:16:47,506
So it's all about trying to break
the transmission cycle
219
00:16:47,589 --> 00:16:49,049
from animals to humans.
220
00:16:59,768 --> 00:17:01,454
The most
vulnerable populations,
221
00:17:01,478 --> 00:17:03,897
or the populations
where a pandemic can start,
222
00:17:03,981 --> 00:17:05,858
are in caretakers of animals.
223
00:17:14,616 --> 00:17:16,827
We will take
a human blood sample.
224
00:17:16,910 --> 00:17:17,910
Human blood?
225
00:17:17,953 --> 00:17:20,914
Yeah, I need a worker
who works inside the farm.
226
00:17:20,998 --> 00:17:21,956
Okay.
227
00:17:21,957 --> 00:17:24,877
You and your shirt
in the street.
228
00:17:37,181 --> 00:17:38,724
Get well soon!
229
00:17:39,475 --> 00:17:42,603
You see how I was so soft with you?
230
00:17:42,686 --> 00:17:43,687
Yeah, right.
231
00:17:48,525 --> 00:17:51,445
I'm really, really interested
in trying to catch that virus
232
00:17:51,528 --> 00:17:53,280
as it's causing the infection.
233
00:17:59,536 --> 00:18:03,499
Once we do that, we can look at
how transmissible it is.
234
00:18:03,999 --> 00:18:05,959
Can it infect other species?
235
00:18:06,460 --> 00:18:08,170
Does it have a pandemic potential?
236
00:18:10,756 --> 00:18:13,801
We will add the chicken and human samples
collected today
237
00:18:14,384 --> 00:18:17,429
to the bat samples and begin our testing.
238
00:18:35,114 --> 00:18:36,466
- So, is this your...
- Mmm-hmm.
239
00:18:36,490 --> 00:18:37,967
What do you call it?
A pig or a sow?
240
00:18:37,991 --> 00:18:39,719
- A pig.
- You got a pig.
241
00:18:39,743 --> 00:18:41,995
- Her name is Chessie.
- Chessie? Okay.
242
00:18:43,038 --> 00:18:45,916
I don't think I've ever touched
a live pig before.
243
00:18:45,999 --> 00:18:48,544
Ooh, she's sweaty.
Or did you make her wet?
244
00:18:48,627 --> 00:18:51,296
Oh, yeah, we put water on her
before the big show.
245
00:18:51,380 --> 00:18:53,006
Oh! To make her shine?
246
00:18:54,883 --> 00:18:58,554
So, your mom told me that you did not
get the flu shot this year.
247
00:18:58,637 --> 00:19:00,472
Next year, you'll get the flu shot,
won't you?
248
00:19:01,223 --> 00:19:02,141
Probably.
249
00:19:02,142 --> 00:19:05,644
A little shot's not that big
of a deal compared to how sick you felt.
250
00:19:05,727 --> 00:19:09,148
And you got... Can you imagine
if you had the flu this week?
251
00:19:09,231 --> 00:19:10,917
- Oh, that'd be horrible.
- That'd be horrible.
252
00:19:10,941 --> 00:19:15,445
I wouldn't have got to show here.
I like showing pigs a lot.
253
00:19:16,196 --> 00:19:18,591
All right, we're ready
to let them into the show ring here
254
00:19:18,615 --> 00:19:20,868
for our first class... the first reveals.
255
00:19:21,410 --> 00:19:25,497
Being a small-town doctor
is a unique position.
256
00:19:27,916 --> 00:19:29,626
They're all nice enough to eat.
257
00:19:29,710 --> 00:19:31,670
Oh, yes, a little bit of bacon.
258
00:19:32,504 --> 00:19:37,259
Even if they haven't been my patient,
most people know, "She's the doctor."
259
00:19:38,093 --> 00:19:40,762
That opens up an opportunity
to be able to have
260
00:19:40,846 --> 00:19:45,767
a really interesting relationship
that I don't think a large town,
261
00:19:45,851 --> 00:19:48,395
or a city physician, really gets.
262
00:20:01,325 --> 00:20:02,802
Take a big, deep breath in.
263
00:20:02,826 --> 00:20:04,161
And then again.
264
00:20:07,456 --> 00:20:08,540
Just breathe normal.
265
00:20:11,501 --> 00:20:12,501
Good.
266
00:20:14,087 --> 00:20:17,925
Physicians focus outwardly on others
and what other people need.
267
00:20:18,008 --> 00:20:21,053
I'm gonna give you some antibiotics
in the IV tonight
268
00:20:21,136 --> 00:20:23,931
and then I'll give you a prescription
for some antibiotics
269
00:20:24,014 --> 00:20:25,682
to take for the next ten days.
270
00:20:25,766 --> 00:20:27,059
Do you have insurance?
271
00:20:27,809 --> 00:20:29,978
We are expected to be superhuman.
272
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,
273
00:20:35,442 --> 00:20:38,111
with the kind of compassion
that they deserve
274
00:20:38,195 --> 00:20:41,949
and that's a calling
that I've been brought to,
275
00:20:42,032 --> 00:20:44,701
and I can do that, I can do my calling.
276
00:20:45,410 --> 00:20:47,204
If I can get the help that I need.
277
00:20:49,122 --> 00:20:51,124
I have a 72-hour shift
278
00:20:51,208 --> 00:20:54,836
and so it's important to me
that my husband is here with me at times.
279
00:20:54,920 --> 00:20:57,297
Because without Mike,
I couldn't do this work.
280
00:21:02,177 --> 00:21:03,178
Oh.
281
00:21:03,262 --> 00:21:04,388
You were out.
282
00:21:04,471 --> 00:21:06,014
Mmm-hmm. Sleeping good.
283
00:21:07,808 --> 00:21:10,018
- How are you?
- I'm here.
284
00:21:10,102 --> 00:21:12,020
So.
285
00:21:12,104 --> 00:21:14,815
So, had two more cases?
286
00:21:15,399 --> 00:21:18,485
No, it was old cases
that just hadn't gotten over it.
287
00:21:18,568 --> 00:21:19,653
Oh, okay.
288
00:21:19,736 --> 00:21:21,321
- Yeah.
- Okay.
289
00:21:23,573 --> 00:21:27,744
I'm wondering how long I was out.
I'm still feeling tired.
290
00:21:27,828 --> 00:21:29,908
- Half an hour to an hour?
- You're as tired as I was
291
00:21:29,955 --> 00:21:32,374
because you got disturbed
as much as I did last night,
292
00:21:32,457 --> 00:21:34,960
and then I got to sleep today
and you didn't.
293
00:21:35,043 --> 00:21:37,421
Yeah, I didn't get to sleep, so...
294
00:21:38,255 --> 00:21:40,024
Okay, well, let me go
take care of this patient.
295
00:21:40,048 --> 00:21:41,133
All right, then.
296
00:21:42,718 --> 00:21:44,761
My first marriage
didn't do very well.
297
00:21:46,805 --> 00:21:51,226
And my divorce was particularly ugly.
298
00:21:55,022 --> 00:21:56,022
Hello.
299
00:21:56,648 --> 00:21:59,359
I was talking to your wife.
She's really worried about you.
300
00:21:59,443 --> 00:22:01,403
- I've been trying to.
- Okay.
301
00:22:01,445 --> 00:22:05,198
The first year of medical school was
really, really difficult for me.
302
00:22:07,993 --> 00:22:12,414
My ex-husband was, uh...
sent to prison during that time.
303
00:22:14,791 --> 00:22:18,337
I came to school a couple times beat up.
304
00:22:20,339 --> 00:22:23,800
And my faith was shaken during that time.
305
00:22:24,676 --> 00:22:29,306
And then I met Mike
and he's a man of extreme faith.
306
00:22:33,060 --> 00:22:37,230
And what I learned throught that was
that every experience, good or bad,
307
00:22:37,314 --> 00:22:41,693
is building up in me,
like this wall of strength
308
00:22:41,777 --> 00:22:44,696
and that strength gets me through
all of the challenges
309
00:22:44,780 --> 00:22:46,823
that I'm confronted with, big and small.
310
00:22:48,033 --> 00:22:50,160
"James, a servant of God
and the Lord Jesus Christ
311
00:22:50,243 --> 00:22:53,038
to the 12 tribes
scattered among the nations.
312
00:22:53,121 --> 00:22:54,164
'Greetings.
313
00:22:54,247 --> 00:22:58,835
Consider it pure joy, my brothers,
whenever you face trials of many kinds,
314
00:22:58,919 --> 00:23:03,006
because you know that the testing
of your faith develops perseverance.
315
00:23:03,090 --> 00:23:07,636
Perseverance must finish its work
so that you may be mature and complete,
316
00:23:07,719 --> 00:23:09,096
not lacking in anything.
317
00:23:09,179 --> 00:23:12,224
But blessed is the man
who perseveres under trial.'"
318
00:24:09,406 --> 00:24:10,991
Three, two...
319
00:24:34,264 --> 00:24:38,101
We found that there are different
subtypes of virus in these ducks.
320
00:24:39,686 --> 00:24:41,646
These teal are long-distance migrants.
321
00:24:41,730 --> 00:24:44,983
They go from here and they'll go
all the way up to Saskatchewan,
322
00:24:45,901 --> 00:24:47,986
and then they'll come back again
in the fall,
323
00:24:48,069 --> 00:24:50,030
and then they'll go all the way down
to Argentina.
324
00:24:50,113 --> 00:24:51,656
So that's a huge migration.
325
00:24:51,740 --> 00:24:54,576
Along that flyway,
they're either picking something up,
326
00:24:54,659 --> 00:24:56,203
or they're dropping something off.
327
00:24:57,245 --> 00:24:59,456
- Whoa! Hello.
- Nice catch.
328
00:25:07,464 --> 00:25:10,264
Doing these surveillance studies
helps us to understand trends
329
00:25:10,300 --> 00:25:12,469
that are going on with these birds.
330
00:25:12,552 --> 00:25:18,141
In case there's some kind of, let's say,
pandemic, or spillover or something,
331
00:25:18,225 --> 00:25:22,521
we at least have the information and data
to anticipate trends and we're ready.
332
00:25:22,604 --> 00:25:24,981
We're prepared
if there was a flu outbreak.
333
00:25:36,284 --> 00:25:38,995
I thought I was gonna be
a teacher or a police officer,
334
00:25:39,079 --> 00:25:41,248
but the college atmosphere
was where I decided
335
00:25:41,331 --> 00:25:44,292
to go and start working
with students that way.
336
00:25:44,376 --> 00:25:50,090
And for the last 25 years now,
I've been in the sciences like this.
337
00:26:00,308 --> 00:26:03,144
Our big main goal is to see
what the prevalence of flu is
338
00:26:03,228 --> 00:26:07,232
in this area, at this time, right now,
with this population of ducks.
339
00:26:07,315 --> 00:26:09,484
You guys are gonna
hold the ducks like this.
340
00:26:10,068 --> 00:26:12,362
Keep them down by your chest, um...
341
00:26:12,445 --> 00:26:16,783
and we're gonna swab them
orally and cloacally.
342
00:26:16,866 --> 00:26:18,159
Put it in a media tube.
343
00:26:18,243 --> 00:26:20,870
They're gonna give you a number.
I'm gonna give...
344
00:26:20,954 --> 00:26:23,724
Put that number on the tube and then
you're gonna bring them over to Alindy.
345
00:26:23,748 --> 00:26:25,041
She's gonna bleed them.
346
00:26:25,125 --> 00:26:26,805
She's gonna bleed them
through the jugular,
347
00:26:26,876 --> 00:26:29,105
'cause we don't like to wing bleed,
'cause they're migrating.
348
00:26:29,129 --> 00:26:31,047
But remember the number
that Lizzy gives you,
349
00:26:31,131 --> 00:26:33,425
'cause that's the number
that you and I have to match,
350
00:26:33,508 --> 00:26:36,970
and Alindy and I have to match
to make sure we have the right sample.
351
00:26:37,721 --> 00:26:40,724
And then once that we find
if they have had flu,
352
00:26:40,807 --> 00:26:42,892
then we do a lot of serology back off
in the lab.
353
00:26:42,976 --> 00:26:44,144
Sound good?
354
00:26:44,227 --> 00:26:45,997
Does anyone need this duck?
355
00:26:46,021 --> 00:26:47,665
Can I let it go?
'Cause I've been holding it.
356
00:26:47,689 --> 00:26:49,190
Okay. Sound good?
357
00:26:49,733 --> 00:26:52,485
- Do, like... Feel like a "break."
- Let's go.
358
00:26:54,195 --> 00:26:56,489
If they're busy at the table,
let it go.
359
00:26:56,573 --> 00:26:58,283
- Who needs a duck?
- We do.
360
00:26:58,366 --> 00:26:59,618
Six-six-six.
361
00:26:59,701 --> 00:27:00,701
Oh, come on.
362
00:27:00,744 --> 00:27:01,911
Sorry, Alindy.
363
00:27:03,079 --> 00:27:05,457
Okay, we're gonna try to do this for you.
Ready?
364
00:27:09,502 --> 00:27:11,171
That does not seem right.
365
00:27:12,422 --> 00:27:14,424
No, it isn't. Are you ready?
366
00:27:14,507 --> 00:27:16,009
This is gonna seem even worse.
367
00:27:16,551 --> 00:27:18,637
- Are you ready?
- Oh!
368
00:27:18,720 --> 00:27:22,766
Oh, goodness.
I'm a terrible, horrible person, aren't I?
369
00:27:22,849 --> 00:27:25,602
You can let that one go.
Good job.
370
00:27:26,394 --> 00:27:27,729
Yeah, totally let it go.
371
00:27:28,396 --> 00:27:30,482
- Next. What's your number?
- Six-six-seven.
372
00:27:31,858 --> 00:27:32,942
Are you 667?
373
00:27:33,485 --> 00:27:35,945
All right. So... I know.
It makes you all... That's it.
374
00:27:36,029 --> 00:27:36,987
So I'm gonna just help you,
375
00:27:36,988 --> 00:27:38,883
'cause you're gonna be holding
lots of ducks today, okay?
376
00:27:38,907 --> 00:27:41,534
Right there with those big pinkies.
Perfect.
377
00:27:41,618 --> 00:27:44,788
Some of my favorite parts is
the hunters who have killed them
378
00:27:44,871 --> 00:27:47,874
have never held them live,
379
00:27:47,957 --> 00:27:50,627
and then they hold them live
and there's, like, a new perspective.
380
00:27:50,710 --> 00:27:52,188
It doesn't mean
that they're not gonna hunt.
381
00:27:52,212 --> 00:27:54,422
Hunting... I love hunting, myself,
382
00:27:54,506 --> 00:27:58,426
but that perspective of having this,
like, live little creature is...
383
00:27:58,510 --> 00:27:59,790
They don't get that opportunity.
384
00:27:59,844 --> 00:28:01,680
They get the kill opportunity,
385
00:28:01,763 --> 00:28:04,683
but the live opportunity
is always my favorite part
386
00:28:04,766 --> 00:28:06,446
when they come out in the spring to do it.
387
00:28:14,192 --> 00:28:16,361
I have a role
where I can go out in the field,
388
00:28:16,444 --> 00:28:19,698
being part of the pulling of the birds
and the swabbing of the birds,
389
00:28:19,781 --> 00:28:23,118
and then taking those samples
and being able to process them,
390
00:28:23,201 --> 00:28:25,578
all the way to the end, to see the result.
391
00:28:27,789 --> 00:28:31,501
That one sample you bring back
and all the work that went into doing it,
392
00:28:31,584 --> 00:28:37,340
all the people involved in doing that,
that one sample is so important.
393
00:28:37,966 --> 00:28:40,844
This knowledge gives
the scientific community
394
00:28:40,927 --> 00:28:44,222
power to predict and prepare.
395
00:29:18,381 --> 00:29:20,467
As the human population grows,
396
00:29:20,550 --> 00:29:23,344
we see an increased appetite
for animal protein.
397
00:29:24,137 --> 00:29:29,142
And in response, we are raising livestock
at unprecedented levels.
398
00:29:30,769 --> 00:29:36,107
The problem with that is that the sheer
number of animals in a confined space
399
00:29:36,191 --> 00:29:42,655
elevates the risk for a virus
to spread and mutate at a rapid pace.
400
00:29:44,449 --> 00:29:47,827
While we can't predict where the next
influenza pandemic is gonna come from,
401
00:29:47,911 --> 00:29:52,332
there are certain places
that need particular attention.
402
00:29:52,415 --> 00:29:54,417
And China is one of those.
403
00:29:55,627 --> 00:29:58,338
It's the place
where we've seen the emergence
404
00:29:58,421 --> 00:30:02,175
of virtually
all of the deadly influenza viruses
405
00:30:02,258 --> 00:30:03,635
over the last half century.
406
00:30:04,719 --> 00:30:07,305
And it's right across the border
from Vietnam.
407
00:30:08,389 --> 00:30:12,393
And so we set up
across five different border markets
408
00:30:13,061 --> 00:30:15,396
during the influenza season,
409
00:30:15,480 --> 00:30:19,400
a routine monitoring of what in fact
was coming across.
410
00:30:21,402 --> 00:30:22,779
We know from recent history
411
00:30:22,862 --> 00:30:27,700
the consequences of poorly monitoring
the emergence and spread of bird flu.
412
00:30:29,536 --> 00:30:32,997
We at WHO believe that the world is now
413
00:30:33,081 --> 00:30:37,085
in the greatest possible danger
of a pandemic.
414
00:30:37,627 --> 00:30:41,965
In 2005, a new avian flu, H5N1,
415
00:30:42,048 --> 00:30:45,760
had spread out of China
and across Southeast Asia.
416
00:30:46,845 --> 00:30:49,347
The Vietnamese government decided that
417
00:30:49,430 --> 00:30:52,851
they could not, um, coexist with H5N1.
418
00:30:52,934 --> 00:30:56,938
They had to take draconian steps
to really bring it under control.
419
00:30:58,523 --> 00:31:01,484
Vietnam began culling
millions of chickens.
420
00:31:02,610 --> 00:31:04,696
The virus began to dramatically spread
421
00:31:04,779 --> 00:31:08,950
beyond Southeast Asia,
into Europe, and as far as Egypt.
422
00:31:10,910 --> 00:31:14,289
In September, 2005,
the World Health Organization
423
00:31:14,372 --> 00:31:17,333
estimated that avian influenza pandemic
424
00:31:17,417 --> 00:31:20,962
could kill up to
150 million people worldwide.
425
00:31:23,089 --> 00:31:26,092
The national government
essentially made a commitment
426
00:31:26,175 --> 00:31:32,140
to vaccinate virtually
every chicken and duck, um, in Vietnam
427
00:31:32,223 --> 00:31:35,476
to try and break the back
of the outbreaks.
428
00:31:36,394 --> 00:31:40,106
And within four months, they succeeded.
429
00:31:42,233 --> 00:31:45,486
Every epidemic is an opportunity to learn.
430
00:31:46,613 --> 00:31:48,489
We do this all the time.
431
00:31:48,573 --> 00:31:50,491
We are constantly monitoring,
432
00:31:50,575 --> 00:31:54,120
because you never know when something
is going to show up in an animal
433
00:31:54,203 --> 00:31:56,164
and then make the leap to humans.
434
00:31:59,208 --> 00:32:00,209
Karma?
435
00:32:04,589 --> 00:32:05,949
Where is she hiding?
436
00:32:06,382 --> 00:32:07,425
Little cat!
437
00:32:09,677 --> 00:32:10,720
Come and say hi.
438
00:32:12,013 --> 00:32:13,890
Then let's sit outside in the garden.
439
00:32:30,657 --> 00:32:31,741
Welcome, little cat!
440
00:32:32,992 --> 00:32:34,672
This is pretty much home now.
441
00:32:35,495 --> 00:32:37,914
I've been here since 2008.
442
00:32:39,749 --> 00:32:44,003
My wife, Marwa,
we've been married for 16 years.
443
00:32:44,587 --> 00:32:46,255
She's, uh, from Egypt.
444
00:32:47,173 --> 00:32:49,759
I was born in Lebanon in 1975.
445
00:32:55,723 --> 00:32:59,894
That's the year that
the Lebanese Civil War started in Beirut.
446
00:33:01,562 --> 00:33:04,440
I was born in the city at its worst.
447
00:33:05,858 --> 00:33:11,739
And since then, it never really
bounced back and always had trouble.
448
00:33:14,450 --> 00:33:17,453
Lebanese people, we tend to migrate a lot,
449
00:33:17,537 --> 00:33:19,622
simply because there are no opportunities.
450
00:33:19,706 --> 00:33:22,458
So for me, I was lucky,
451
00:33:22,542 --> 00:33:26,462
because I had the chance to go
and get educated out in the West.
452
00:33:28,589 --> 00:33:30,008
The kids have been born here.
453
00:33:30,717 --> 00:33:34,929
Adam who is 14, and Karma,
who's gonna be turning five.
454
00:33:35,013 --> 00:33:37,199
What are you going to play
at the concert?
455
00:33:37,223 --> 00:33:38,474
"Back in Black."
456
00:33:39,517 --> 00:33:41,853
You didn't learn
any Arabic songs whatsoever?
457
00:33:51,070 --> 00:33:52,989
Where we are here,
458
00:33:53,072 --> 00:33:56,993
it's a little bit quieter
than the rest of Cairo.
459
00:34:00,288 --> 00:34:03,166
So, we get to enjoy a little bit of peace,
460
00:34:03,249 --> 00:34:05,793
but the hustle and bustle
is always accessible.
461
00:34:09,464 --> 00:34:10,590
Cairo's a big city.
462
00:34:11,382 --> 00:34:14,552
It's about 25 million people,
so it's quite large.
463
00:34:14,635 --> 00:34:15,845
Very, very extensive.
464
00:34:17,555 --> 00:34:22,560
My work focuses on avian flu
and Egypt is a hot spot for that.
465
00:34:23,394 --> 00:34:30,318
2005, 2006, the avian influenza virus
started moving out from China to Egypt.
466
00:34:30,985 --> 00:34:33,780
So we have been struggling
with it ever since.
467
00:34:33,863 --> 00:34:35,239
It comes back every year.
468
00:34:35,823 --> 00:34:39,535
And this is what motivates us
to continue our work in Egypt.
469
00:34:42,872 --> 00:34:44,207
Karma?
470
00:34:44,290 --> 00:34:46,959
My kids, they know in general what I do.
471
00:34:48,419 --> 00:34:53,758
But I tend not to bring work back home,
because I like to really dedicate
472
00:34:53,841 --> 00:34:56,552
most of my time when I'm at home
to the family.
473
00:34:58,429 --> 00:35:00,306
He's away a lot, actually.
474
00:35:00,389 --> 00:35:02,892
But, uh, we learn to cope with it.
475
00:35:03,935 --> 00:35:05,255
Shall I tickle you?
476
00:35:08,189 --> 00:35:11,109
It's tough on Karma
because she's a little girl
477
00:35:11,192 --> 00:35:14,028
and she asks a lot about him
when he travels.
478
00:35:15,154 --> 00:35:19,242
When she wakes up in the morning and asks,
"Where's Daddy?" she's always sad.
479
00:35:27,667 --> 00:35:31,254
I never spend more
than two to three weeks here in Cairo.
480
00:35:35,716 --> 00:35:37,635
I spend half of my time in Lebanon
481
00:35:37,718 --> 00:35:40,096
and then either the United States,
or somewhere in Europe,
482
00:35:40,179 --> 00:35:42,849
or somewhere in Africa,
depending on what's going on.
483
00:35:43,850 --> 00:35:46,811
It's hard,
but that's the nature of the career.
484
00:35:48,729 --> 00:35:51,649
These viruses are circulating
all the time.
485
00:35:53,234 --> 00:35:54,610
I'm trying to keep up.
486
00:36:13,754 --> 00:36:16,799
This morning,
through a call from the control room...
487
00:36:17,425 --> 00:36:20,136
I got to know about your two children
who are positive.
488
00:36:30,313 --> 00:36:32,899
What happened to the five-year-old child?
489
00:36:32,982 --> 00:36:34,817
Only cough and fever.
490
00:36:34,901 --> 00:36:37,737
- Since when he is sick?
- Since January, he was sick.
491
00:36:39,697 --> 00:36:44,076
This medicine, Tamiflu,
is given to treat swine flu.
492
00:36:45,119 --> 00:36:47,679
You too, from today onwards
will start taking medicine with them.
493
00:36:48,873 --> 00:36:50,791
You know how swine flu spreads?
494
00:36:51,834 --> 00:36:54,003
When we're sneezing, coughing?
495
00:36:54,086 --> 00:36:56,964
Look on his face. Need to keep this clean.
496
00:36:58,174 --> 00:37:01,177
These are my children,
this much I will definitely do.
497
00:37:03,804 --> 00:37:06,182
In the beginning,
it was not spreading so much,
498
00:37:06,265 --> 00:37:08,684
so the government did not pay
much attention.
499
00:37:08,768 --> 00:37:11,479
But now prevention care has increased.
500
00:37:11,562 --> 00:37:14,607
For that, we have
implemented this strategy.
501
00:37:15,816 --> 00:37:17,652
Which pregnant lady
were you talking about?
502
00:37:18,986 --> 00:37:20,780
- Nasira!
- Come up.
503
00:37:21,364 --> 00:37:22,740
We'll go down.
504
00:37:23,574 --> 00:37:26,374
- Let's go downstairs.
- Call her. What's her name?
505
00:37:27,286 --> 00:37:32,208
This is a very
densely populated area. Many families.
506
00:37:32,291 --> 00:37:36,879
One germ can multiply into thousands
507
00:37:36,963 --> 00:37:41,259
and spread rapidly and continuously,
so the whole community is affected.
508
00:37:42,593 --> 00:37:44,804
When did you learn about the pregnancy?
509
00:37:46,055 --> 00:37:48,015
A couple of months ago.
510
00:37:49,350 --> 00:37:52,019
He is her husband, explain to him.
She is his second wife.
511
00:37:52,103 --> 00:37:54,605
As you are staying with her,
512
00:37:54,689 --> 00:37:57,275
your two children
with your other wife are sick.
513
00:37:57,358 --> 00:38:00,027
Keep her away from those kids.
514
00:38:00,111 --> 00:38:01,487
Because... Yes.
515
00:38:01,570 --> 00:38:04,407
Because of their illness,
she might have to suffer.
516
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...
517
00:38:13,082 --> 00:38:15,459
We told them that a positive case
was reported here.
518
00:38:17,044 --> 00:38:21,799
So some were alarmed, some were concerned.
519
00:38:21,882 --> 00:38:22,943
What will happen to us?
520
00:38:22,967 --> 00:38:25,553
There is no problem, come out.
There is no problem.
521
00:38:26,137 --> 00:38:28,264
We are from the hospital.
522
00:38:28,347 --> 00:38:33,019
You have to take Tamiflu,
because you are close to a swine flu case.
523
00:38:34,562 --> 00:38:38,941
We send a team to conduct surveys
within a radius of one kilometer.
524
00:38:42,236 --> 00:38:43,946
This is good work.
525
00:38:44,030 --> 00:38:46,198
It's a good step from the government.
526
00:38:46,282 --> 00:38:49,035
Even if we miss one case,
we still find 100 cases.
527
00:38:49,118 --> 00:38:51,078
And we stopped 500 from happening.
528
00:38:51,162 --> 00:38:53,539
Is anyone sick in your house?
529
00:38:53,622 --> 00:38:55,583
Cough, cold, fever...
530
00:38:58,085 --> 00:39:01,213
The problem is,
everyone should be vaccinated.
531
00:39:01,297 --> 00:39:03,007
But it is a costly vaccine.
532
00:39:03,591 --> 00:39:06,344
And our population
is very high.
533
00:39:07,511 --> 00:39:11,390
It is hard for health care workers
to reach every corner.
534
00:39:12,266 --> 00:39:16,604
That's why in India, there is
higher activity of flu during epidemics.
535
00:39:29,992 --> 00:39:31,911
So, we just have three.
536
00:39:32,620 --> 00:39:35,456
These two are stable.
I've seen everybody today.
537
00:39:35,539 --> 00:39:38,417
She came in yesterday, had had the flu,
538
00:39:38,501 --> 00:39:41,379
got a little bit better
and then suddenly got really bad.
539
00:39:41,462 --> 00:39:44,215
Had a fever of over 103,
has bilateral pneumonia.
540
00:39:44,298 --> 00:39:45,942
So we may have to watch that a little bit.
541
00:39:45,966 --> 00:39:47,093
Okay, sounds good.
542
00:39:50,596 --> 00:39:51,806
Bye, Lizzie.
543
00:39:51,889 --> 00:39:53,933
Bye. See you later, Dr. Goracke.
544
00:39:56,185 --> 00:39:58,437
When I begin
my 72-hour shift,
545
00:39:58,521 --> 00:40:01,107
I'm kind of in this high-energy mode.
546
00:40:03,275 --> 00:40:06,487
About 12 to 15 hours
before the end of the shift,
547
00:40:06,570 --> 00:40:10,658
that's when I begin to feel
that fatigue sets in.
548
00:40:21,293 --> 00:40:23,838
Probably at least
three to four times a month,
549
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."
550
00:40:30,052 --> 00:40:32,221
And then I get some sleep
and I feel better.
551
00:40:33,055 --> 00:40:35,975
Or something really great happens,
or, you know...
552
00:40:38,185 --> 00:40:40,938
Something happens that changes my mind
and I do better.
553
00:40:54,076 --> 00:40:55,786
Father in Heaven, we thank you so much.
554
00:40:55,870 --> 00:40:59,623
Thank you for the time to be able to come
together in your presence with friends.
555
00:40:59,707 --> 00:41:01,667
Lord, thank you for this meal.
556
00:41:01,750 --> 00:41:04,628
We always wanna give you praise and glory.
In Christ Jesus' name. Amen.
557
00:41:04,712 --> 00:41:06,912
- Great.
- Holly, I brought out your good napkins.
558
00:41:06,964 --> 00:41:08,340
Oh, good. Do you want...
559
00:41:08,424 --> 00:41:13,512
We love entertaining people at our home
and we have some incredibly great friends.
560
00:41:13,596 --> 00:41:14,597
Yeah.
561
00:41:15,764 --> 00:41:20,519
And one of the main focuses
of our private time
562
00:41:20,603 --> 00:41:22,146
has been prayer with our friends.
563
00:41:22,229 --> 00:41:23,981
All right, Lord, thank you so much.
564
00:41:24,064 --> 00:41:26,358
Lord Heavenly Father,
we come before you tonight...
565
00:41:29,653 --> 00:41:32,239
Just pray that you would
guide the doctors' hands
566
00:41:32,323 --> 00:41:35,075
and let them see everything,
uncover everything.
567
00:41:35,159 --> 00:41:37,620
That you would keep them safe
as much as they travel...
568
00:41:37,703 --> 00:41:39,473
Lord, I thank you
for this prayer right now.
569
00:41:53,010 --> 00:41:54,010
Are we good?
570
00:41:57,097 --> 00:41:59,099
When I dedicated my life to Jesus,
571
00:41:59,183 --> 00:42:02,853
I said, "I'm not going to be
like the world anymore.
572
00:42:02,937 --> 00:42:03,937
I'm gonna be like Jesus,"
573
00:42:03,979 --> 00:42:07,858
and Jesus was loving and he was kind
and he laid down his life for others.
574
00:42:09,151 --> 00:42:12,029
I have my own little place
in the community.
575
00:42:12,655 --> 00:42:15,157
But from my tiny little place,
it ripples outward
576
00:42:15,241 --> 00:42:19,286
and I know that there are hundreds,
maybe thousands of lives
577
00:42:19,370 --> 00:42:22,456
that are different
because they came in contact with me.
578
00:42:24,041 --> 00:42:28,379
And there's still a lot of time left
of this year's flu season,
579
00:42:28,462 --> 00:42:32,049
so I have to just be in prayer that God
has it in His hands
580
00:42:32,132 --> 00:42:36,303
and I can continue to do
what I'm supposed to do in His will.
581
00:42:51,610 --> 00:42:52,850
Coffee.
582
00:42:53,862 --> 00:42:56,699
Coffee, coffee, coffee.
583
00:43:03,247 --> 00:43:04,999
I have a pretty full day, every day.
584
00:43:06,375 --> 00:43:09,670
But coffee...
585
00:43:10,337 --> 00:43:11,964
Starts in the morning with coffee.
586
00:43:15,801 --> 00:43:19,847
I was born here
and it's still my favorite city,
587
00:43:19,930 --> 00:43:21,223
my favorite place to be.
588
00:43:22,808 --> 00:43:27,771
Every time I come back, it just brings
me back to my childhood, early days.
589
00:43:30,524 --> 00:43:35,404
So the samples that we have been
collecting over the last three days,
590
00:43:35,487 --> 00:43:37,781
we're gonna run
some molecular analyses on them
591
00:43:37,865 --> 00:43:40,534
and that will tell us
if we have the virus itself.
592
00:43:40,618 --> 00:43:42,494
Do we have influenza or not?
593
00:43:51,795 --> 00:43:54,173
All of my staff are graduate students.
594
00:43:54,256 --> 00:43:57,801
So as they're working on the project,
they're also learning.
595
00:43:58,510 --> 00:44:02,222
I did my PhD at the University of Iowa
in the United States.
596
00:44:02,890 --> 00:44:07,394
So for me, having graduate students
start developing their careers
597
00:44:07,478 --> 00:44:10,481
while they're working on a problem
that's relevant to their countries
598
00:44:10,564 --> 00:44:13,067
and doing it in their countries,
599
00:44:13,150 --> 00:44:15,027
it's incredibly important.
600
00:44:19,907 --> 00:44:20,907
Science has
601
00:44:20,908 --> 00:44:23,285
always been my passion
since I was a child.
602
00:44:23,369 --> 00:44:26,705
I've always wanted to be like...
603
00:44:26,789 --> 00:44:29,726
Do you know how Einstein looked while
he was working, with his scruffy hair?
604
00:44:29,750 --> 00:44:32,586
I really liked that,
I wanted to be the same.
605
00:44:32,670 --> 00:44:35,589
Without the scruffy hair.
606
00:44:37,299 --> 00:44:42,638
Dr. Ghazi is my mentor and everything
I learned is coming from him.
607
00:44:42,721 --> 00:44:46,558
He doesn't approach science
in a conventional way.
608
00:44:46,642 --> 00:44:51,647
Actually, we're supposed to be
interested in what we do.
609
00:44:51,730 --> 00:44:53,065
To do something that we love.
610
00:44:58,987 --> 00:44:59,987
Chief!
611
00:45:00,781 --> 00:45:01,739
Let's take this.
612
00:45:01,740 --> 00:45:02,759
What do we have here?
613
00:45:02,783 --> 00:45:06,203
It looks like we have some activity.
614
00:45:09,581 --> 00:45:11,417
So we do have a finding.
615
00:45:12,876 --> 00:45:16,547
We have to have a certain number
in order to call something positive.
616
00:45:16,630 --> 00:45:18,465
We use a cutoff point of 80.
617
00:45:19,758 --> 00:45:22,302
- So H was what again?
- Human.
618
00:45:22,386 --> 00:45:24,847
- Where was his origin? Backyard?
- Yeah.
619
00:45:26,306 --> 00:45:28,284
Thirty-two,
which we call the negative.
620
00:45:28,308 --> 00:45:33,272
Not high enough to call him positive,
so it's below the limit that we detect.
621
00:45:33,355 --> 00:45:37,526
Second human, another backyard.
He's at 64.
622
00:45:37,609 --> 00:45:40,028
We would still call that a negative.
623
00:45:40,112 --> 00:45:43,741
And the third human,
I think we sampled at the farm.
624
00:45:43,824 --> 00:45:45,951
That's another negative.
625
00:45:47,327 --> 00:45:49,288
For the bats, they're below 40.
626
00:45:49,830 --> 00:45:53,083
None of them make the cut,
so we're gonna call them negative.
627
00:45:53,667 --> 00:45:56,462
But then we have a chicken that's 256.
628
00:45:57,045 --> 00:46:01,133
So that's definitely a positive
for avian influenza H9N2.
629
00:46:02,509 --> 00:46:03,802
That was on the farm.
630
00:46:03,886 --> 00:46:06,221
On the farm, the virus
is what we call endemic,
631
00:46:06,305 --> 00:46:07,973
which means it's always around.
632
00:46:09,141 --> 00:46:10,726
Either the chickens were vaccinated,
633
00:46:10,809 --> 00:46:13,437
or during their growing period,
they had an infection.
634
00:46:14,271 --> 00:46:15,731
This is very, very expected.
635
00:46:16,398 --> 00:46:19,860
Nothing of concern,
but this is the nature of surveillance.
636
00:46:21,820 --> 00:46:25,324
Regardless, this is a good
learning experience for my students.
637
00:46:26,575 --> 00:46:29,745
We have some antibodies.
Why don't we have virus?
638
00:46:29,828 --> 00:46:31,955
It might be
because of vaccination.
639
00:46:32,956 --> 00:46:34,236
Could be. One more.
640
00:46:34,291 --> 00:46:36,752
Distance. Is the distance between...
641
00:46:36,835 --> 00:46:38,646
Distance between, all right.
642
00:46:38,670 --> 00:46:41,131
But it's not what I'm thinking of,
so one more.
643
00:46:41,215 --> 00:46:45,803
What do we know
about an infection or an activity of...
644
00:46:45,886 --> 00:46:46,946
Anomalies or something?
645
00:46:46,970 --> 00:46:48,972
- The...
- Anomalies.
646
00:46:49,056 --> 00:46:50,057
The cold weather.
647
00:46:50,140 --> 00:46:51,350
Seasonality.
648
00:46:51,433 --> 00:46:53,727
We're a little bit out of
the influenza season,
649
00:46:53,811 --> 00:46:55,103
that's why we don't see it much.
650
00:46:55,187 --> 00:47:00,442
Um, influenza season picks up its activity
during the warmer months,
651
00:47:00,526 --> 00:47:04,905
so if April, May, then you...
We expect to see more.
652
00:47:04,988 --> 00:47:06,948
- Okay.
- Good job, everyone.
653
00:47:07,449 --> 00:47:08,449
Let's eat.
654
00:47:15,541 --> 00:47:17,185
I'm going to be
the president of the table?
655
00:47:17,209 --> 00:47:18,377
Yeah.
656
00:47:23,340 --> 00:47:25,384
Tomorrow, we need to return to Egypt.
657
00:47:26,176 --> 00:47:29,137
A new avian influenza has been detected.
658
00:47:29,805 --> 00:47:32,266
And it's essential
that we begin surveillance.
659
00:47:34,643 --> 00:47:37,729
We work under what we call
the "One Health" perspective,
660
00:47:37,813 --> 00:47:41,817
so we strongly believe that the health
of humans, of animals,
661
00:47:41,900 --> 00:47:43,986
of environments, of ecosystems,
662
00:47:44,069 --> 00:47:47,406
are all interconnected
and influenza is a great example.
663
00:47:49,032 --> 00:47:51,451
The bird migration patterns,
664
00:47:51,535 --> 00:47:55,247
as well as travel routes for
commercial airlines and people...
665
00:47:55,330 --> 00:48:01,253
So anything can affect any country and
any country can affect other countries.
666
00:48:02,921 --> 00:48:06,967
If something happens, the problem is that
it spreads rapidly between countries...
667
00:48:08,385 --> 00:48:10,304
before we're prepared.
668
00:48:20,188 --> 00:48:22,357
2,000 years ago,
it's hard to imagine,
669
00:48:22,441 --> 00:48:24,818
but this was a robust, dynamic community.
670
00:48:26,320 --> 00:48:28,614
The Roman forum was the seat of power,
671
00:48:28,697 --> 00:48:31,366
both political and economic power,
672
00:48:31,450 --> 00:48:35,579
and never would they have imagined,
2,000 years later,
673
00:48:35,662 --> 00:48:38,290
we'd be standing here
looking over their ruins.
674
00:48:39,166 --> 00:48:43,879
The very idea that their civilization
wasn't a permanent civilization,
675
00:48:43,962 --> 00:48:46,173
just was something
they would never have grasped.
676
00:48:48,717 --> 00:48:51,970
Two thousand years later,
we're in exactly the same situation.
677
00:48:52,054 --> 00:48:55,057
We think the world we live in
is permanent.
678
00:48:56,975 --> 00:48:59,269
This is the eternal city
and if nothing else,
679
00:48:59,353 --> 00:49:02,397
the eternal city tells us
nothing is eternal, right?
680
00:49:02,481 --> 00:49:04,191
All things must pass.
681
00:49:05,150 --> 00:49:08,278
And to avoid the worst
consequences of change,
682
00:49:08,362 --> 00:49:12,741
we're going to have to change
the way we live on this planet.
683
00:49:13,575 --> 00:49:16,995
If we don't, then we are gonna pay
a severe price.
683
00:49:17,305 --> 00:49:23,826
Support us and become VIP member
to remove all ads from www.OpenSubtitles.org
58739
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.