Episode Transcript
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From the Center for Investigative Reporting and PRX,
0:25
this is Reveal. I'm Al Letzen.
0:28
It's 2008 and Jessica
0:30
Malade Rivera's friends all
0:32
think she's a spy or some kind of secret
0:35
agent.
0:36
I was not a spy. I kept trying
0:38
to say like guys I'm just a nerd that
0:40
works at a university on a really really
0:42
dorky
0:42
but important project. She's
0:44
living in DC. She leaves
0:47
early every morning and comes home
0:49
late at night. She speaks multiple
0:51
languages, Arabic, Spanish, English
0:54
and some Portuguese and she can't talk
0:56
about what she does during the day. Jessica's
0:59
working on something called Project Argus.
1:02
Project Argus was named after Argus,
1:04
the 100 eyed giant in Greek mythology,
1:07
the one who can see all things.
1:08
Project Argus is
1:10
at Georgetown University and
1:13
its main clients are the intelligence community
1:15
and the Department of Defense. Our
1:17
job at Project Argus was to track
1:20
and identify these early warnings
1:22
of emerging infectious disease outbreaks and
1:25
my colleagues and I covered about 50 different
1:27
languages and every morning we would read
1:30
new sources from all over the world
1:32
looking for keywords like overwhelmed
1:34
hospitals or mass hysteria.
1:37
They're trying to stop
1:39
the next epidemic from happening. In 2009
1:42
they began noticing strange
1:44
activity on a pig farm in Mexico
1:47
and reports of an influenza like
1:49
illness among the farmers there.
1:51
And it escalated quite quickly.
1:53
There were a number of animals,
1:55
you know sick pigs on a farm and
1:58
farmers that were sick too.
1:59
And by piecing these kinds of clues together,
2:02
we alerted them that something was happening
2:05
in central Mexico. That something
2:07
turns out to be swine flu, also
2:10
known as H1N1. They
2:12
move faster than the World Health Organization,
2:16
identifying the first cases of swine
2:18
flu in 42 countries.
2:20
We begin with swine flu, now
2:22
widespread in 46- This is ground zero in
2:24
the swine flu outbreak. La Gloria,
2:26
a remote Mexican farming village at the world-
2:28
spread to the US with more than 13,000 cases and
2:32
more than 25 deaths. The bad news is that in
2:34
five months, it's become the world's dominant
2:36
flu strain. Infections have been reported in Canada,
2:39
the United States, Mexico, Israel,
2:41
Spain- Jessica and the Project
2:43
Argus team help alert the world to
2:46
the dangers of swine flu, and the
2:48
early warning helps slow its spread.
2:51
But then, in 2013, the federal government pulls
2:55
the funding for Project Argus. Jessica
2:57
and her colleagues feel like the country
2:59
is more vulnerable as a result.
3:02
It's not a matter of if, it's a matter
3:04
of when. It was like a matter of time
3:06
for the next global pandemic. If
3:08
you're not being Argus with 100 eyes, looking
3:12
all over for emerging threats, you're
3:14
not gonna see it until it hits you in the face.
3:18
COVID-19 has spread to more than two
3:20
dozen countries. We're deeply concerned,
3:23
both by the alarming levels of
3:25
spread and severity, and
3:28
by the alarming levels
3:31
of inaction.
3:32
Anyone who shows symptoms of the illness will
3:35
not be allowed on the plane. We can't slow
3:37
down the numbers. The trajectory is continuing
3:39
to go up. The breaking news stay at home.
3:42
That is the order tonight from four state governors
3:44
as the coronavirus pandemic spreads. New
3:47
York, California, Illinois, and Connecticut
3:49
all ordering non-essential employees to
3:51
stay home. It's
3:56
been three years.
3:58
Since the pandemic
4:01
shut the country down, more than
4:03
a million people have died from COVID
4:05
in the US alone. If you just
4:07
slow down to think about that
4:10
number,
4:11
it's devastating.
4:13
And the thing is, it didn't
4:15
have to be this bad. If
4:17
we had real, accurate public health
4:19
data,
4:20
we could have saved lives. The
4:23
US accounts for just 4% of
4:26
the world's population, but 16%
4:29
of the world's known COVID deaths. Our
4:31
growing frustration this morning over the shortage
4:34
of coronavirus tests in the United States.
4:36
Not enough test kits are available
4:38
to local medical centers.
4:40
There is clearly
4:42
a lack of information. The
4:45
fight against pandemics is won
4:47
and lost with data because in the simplest
4:49
terms, if you know who's sick, you
4:52
can isolate them and treat them. With
4:54
so few tests here and elsewhere, knowing
4:57
the actual number of infected people,
4:59
not just the people who have died, but the actual number of people
5:01
who are infected, that's impossible right now because
5:03
there's just not enough tests, not enough people have been tested.
5:07
And as the pandemic spiraled out of control,
5:09
Jessica kept waiting for the federal government
5:12
to step in.
5:13
I just kept thinking, where is the
5:15
CDC? They weren't releasing numbers
5:17
about how many people were sick or hospitalized
5:20
or dead from the virus. And I finally
5:22
got to the point where I was like, if they're not
5:24
gonna provide the information, then who is?
5:26
Jessica was looking
5:29
for answers and she wasn't alone. That's
5:31
how she linked up with a group of scrappy volunteers
5:34
who banded together to collect COVID-19
5:37
data on their own. They called
5:39
themselves the COVID Tracking Project.
5:42
They built unlikely alliances
5:44
with government insiders and became
5:46
the nation's trusted COVID data resource
5:48
relied upon by the White House, the Biden
5:51
campaign and newsrooms across the US.
5:54
We partnered with members of the COVID Tracking
5:56
Project
5:56
to investigate the federal government's response
5:59
to COVID. and to understand America's
6:01
ability to combat the next
6:03
pandemic. Epidemiologist
6:06
Jessica Malady Rivera will be our
6:08
guide throughout this series.
6:14
It's late February, 2020. Rob
6:17
Meyer and Alexis Madrigal are working
6:19
as reporters at The Atlantic. They're
6:21
following the news about COVID coming out of China,
6:24
and they both have this sinking feeling that it's
6:26
worse than the Trump administration is letting on.
6:29
So Rob and Alexis start texting articles
6:32
to each other constantly. The
6:34
real moment that I remember being like, oh,
6:37
like this is coming for us. Rob must have
6:39
sent it to me, or I came upon a guy named Trevor
6:41
Bedford, a genomic epidemiologist.
6:44
Alexis texts Rob immediately. I
6:46
was just like texting with Alexis about this thread.
6:48
I remember where I was when I read that blog post. I had just
6:51
done some yoga, and
6:53
I was lying on my yoga mat. I was
6:55
getting the shower. I pay my phone, I see it,
6:58
I read it. The shower was running, and
7:00
I was about to get in the shower. And I
7:02
was just like, oh.
7:07
Alexis and Rob are frozen in place,
7:10
reading the thread. So Trevor Bedford,
7:12
he tweeted, the team
7:15
at the Seattle Flu Study has sequenced the genome.
7:17
The
7:17
COVID-19 community case reported yesterday
7:20
from Shinomish County, Washington, and have posted the
7:22
sequence publicly. Here's the gist of what they found
7:24
so terrifying. The tweet said
7:26
that the first case of COVID in the US
7:28
was reported in Seattle on January 19th.
7:32
It was a person who had just come back from China. Six
7:35
weeks later, another person in Shinomish
7:37
County, just outside of Seattle, tests
7:40
positive. There are some enormous implications
7:42
here. Rob's reading from Bedford's tweets. This
7:44
case, WA2, is on a branch in
7:46
the evolutionary tree. They want to know, are these
7:48
two cases linked? The first reported case
7:51
in the USA, which is sampled January 19th.
7:53
They discovered that the recent case is
7:55
genetically related to the first one in
7:57
January. He said this strongly suggests
7:59
there has been... transmission in
8:01
Washington state for the past six weeks. Which
8:04
means that COVID has likely been spreading
8:06
in the US for six weeks, undetected.
8:09
And basically what he showed was that
8:13
SARS-CoV-2 was like everywhere. It
8:15
was not just that the CDC was
8:18
a few days late
8:19
setting up big testing sites in Seattle.
8:22
It was that the CDC was six
8:24
weeks late understanding the entire
8:26
spread of the pandemic in the United States. And
8:28
we had no idea how many people were infected. There
8:30
were just undoubtedly tens of thousands
8:33
of more people who were already infected and we were just
8:35
waiting to find out.
8:42
Alexis's first thought is to warn his
8:44
family and friends that the virus is here
8:46
and it's deadly. That was probably the hardest
8:49
time for me, I would say. Like that was
8:51
kind of the only time during all this when I was like crying
8:54
on a regular basis. In
8:57
part because I couldn't get
8:59
people to listen to me.
9:02
Like my parents were still like
9:04
my dad was still going to work, he was still going to the club
9:06
and I was like, dad, stop,
9:08
you know. And I finally, it was the only
9:10
time I ever yelled at my parents too, it was just like, stop,
9:14
you gotta stop, you don't know where this
9:16
is going to hit. It's
9:20
a Monday morning in early March and everything
9:23
feels heavier. Rob walks
9:25
to work through Northwest D.C. taking his
9:27
usual route to the Watergate building where the Atlantic's
9:29
office is. He's not even
9:31
sure he should be going in anymore. He
9:34
sits down at his desk and sends a message to Alexis.
9:37
So I slacked him on March 2nd, 2020 and
9:40
was like, dude, we should really write some
9:42
big sweeping corona takes. People
9:45
do not get it
9:47
with not in all caps. And he was like,
9:49
I spent all weekend off about this.
9:52
And I actually first proposed to Alexis that we just look
9:54
at the public reporting and say,
9:56
this is a huge emergency. The
9:59
Trump administration is completely blowing this and
10:01
the Atlantic's response
10:04
was, you
10:06
can't write that. It's not just about
10:09
attacking the Trump position you need to publish new reporting.
10:12
They're both frustrated. Alexis
10:14
needs to vent. So he types up a message.
10:17
And I
10:21
said, meaning to DM
10:23
Rob, that I felt
10:26
like the Atlantic editors
10:28
were not
10:30
seeing the gravity of the situation,
10:34
possibly with slightly cruder language
10:37
all throughout.
10:38
It's the kind of venting you do with your friends, but
10:40
definitely not your bosses. He
10:43
means to send the message privately to Rob
10:45
on the Atlantic Slack. But Alexis
10:47
accidentally sends it to everyone at
10:50
the Atlantic Newsroom. I mean,
10:52
when I hit Enter and realized what
10:54
had happened, I
10:58
was pretty
11:01
bad. At that point, I
11:03
just was like, well, I guess I gotta double
11:05
down. It's not like I kinda raced and pretended it didn't happen.
11:07
So I doubled down and said, listen, I
11:10
didn't mean to post that here. And I didn't
11:13
mean to put it in quite these terms. But we're
11:16
not responding to this as the crisis
11:18
that it is.
11:19
So my feeling was if the Atlantic
11:21
wasn't gonna let us write a
11:23
piece about how bad things were, we
11:25
needed to do our best to find a piece of information
11:27
that would let people understand how
11:30
bad it actually was.
11:32
The next day, they cycle through every
11:34
tweet and web page from the Centers for Disease Control
11:37
and Prevention. They listen to press conferences
11:39
and webinars about public health. And they
11:41
can't find anything that might sway their editors
11:44
about the urgency of the COVID situation. Then,
11:47
Alexis notices something strange
11:49
on the CDC website.
11:50
Alexis Slack, he's like, the
11:52
CDC has really changed how they're reporting the statistics.
11:56
They'll add some numbers, then they'll drop
11:58
them.
11:59
went to having the minimum amount of information.
12:03
Rob decides to tune into a CDC
12:05
press conference to see if they say anything
12:07
about why the government keeps making changes
12:10
to how it tracks COVID data.
12:11
Hello, and thank you all for joining
12:14
us today for this briefing to update you on
12:16
CDC's COVID-19 response.
12:19
Dr. Nancy Messonnier, the director of
12:21
CDC's National Center for Immunization
12:23
and Respiratory Diseases, is running the press
12:25
conference. The mood is serious.
12:28
Good afternoon, and thank you all for joining
12:30
us. She had been in the news over the last week
12:33
for speaking up at a previous presser about her
12:35
fears about COVID. In that media
12:37
call, she surprised her colleagues at the CDC
12:39
and Trump by saying she thought COVID would
12:42
change daily life. Trump was
12:44
furious. The stock market dipped
12:46
immediately after. So at this press
12:48
conference, Rob wonders what she might say.
12:51
I just want to mention
12:51
that we are no longer reporting
12:54
the number of PUIs or patients
12:56
under investigation, nor those who
12:58
have tested negative. With
13:00
more and more testing done at states,
13:03
these numbers would not be representative
13:05
of the testing being done nationally. States
13:09
are reporting results quickly, and in the
13:11
event of a discrepancy between CDC
13:13
and state case counts, the state
13:15
case counts should always be considered
13:18
more up to date.
13:19
Like, we don't think we have the up-to-date numbers anymore.
13:21
You should go to the states for these numbers. And
13:24
it was framed as very much like, the
13:27
states are in charge, like we've given
13:29
the test to the states.
13:31
Rob feels like this is the key detail.
13:34
The CDC appears to be taking no responsibility
13:36
for telling the public what's happening with COVID
13:39
testing. The states have the data,
13:42
not the CDC.
13:48
Alexis is at home in Oakland, California. He's
13:50
with his family in the kitchen, making
13:52
dinner for his kids. He's just finished
13:54
the workday.
13:55
So it's March 4. My phone rings.
13:57
It's Rob. And he basically says,
14:00
He says, like, dude,
14:02
like, imagine that we're reporters
14:06
on the Army Corps of Engineer beat, and
14:08
it's like three days before Katrina. Like what
14:10
the are we doing? This is insane.
14:13
Why are we not doing more? Because
14:16
we're both so frustrated and angry
14:18
and scared at that point.
14:20
I said to Alexis, like, we're really staring down
14:22
something catastrophic.
14:24
And so what can you do
14:27
in that situation?
14:28
What possible information do you try
14:31
to get?
14:31
Rob and Alexis know it's coming. Infection
14:35
rates are about to surge, and people will
14:37
die.
14:37
So I finished making dinner for the kids, and I go outside,
14:40
and I'm like, it's tough. Like I've
14:42
got the kids already. I already know that I'm
14:45
going to pull them from school. And I'm
14:47
just thinking like, oh, man, like, I'm
14:49
just trying to figure out the logistics of life right
14:52
now.
14:53
I was like, all right, Rob, what do you want to do?
15:00
My proposal to him when I called him was like, we
15:02
need to start asking state public health agencies how many
15:04
have been tested and printing the Refuel to comment if
15:06
they don't tell us. He's like, this is
15:08
the most important number for the
15:10
country, for the world, maybe. We
15:13
know there's only at the time, there are only a handful of cases
15:15
that have been confirmed in the United States. But
15:18
what does that number mean? Does it mean there's only
15:20
a handful of cases? Or does it mean we haven't
15:22
tested anybody so we haven't been able to confirm
15:24
that people have COVID? If we try to get numbers
15:26
from states like the CDC has told us
15:29
to do,
15:29
they will obviously be incomplete. And
15:32
then this will force the Trump administration to
15:34
release them. Let's split up the states
15:37
and then just email 25 each. And
15:39
so we start doing it that night. We can write
15:41
a form email. It will be very fast.
15:44
We broke up the states, made a spreadsheet.
15:47
We'll have a little Google Doc where we keep track
15:49
of this. Let's see, so let me check here real quick. Most
15:51
of them will refuse to respond. And that's
15:53
fine. We'll do form email.
15:56
The email that we wound up sending to states was,
15:59
I'm Alexis Madrigal.
15:59
I'm Robinson Meyer, a staff writer at The Atlantic.
16:02
We've been tracking the coronavirus outbreak very
16:04
closely and have some questions about testing. We
16:07
have three factual questions that we're asking state
16:10
public health officials across the nation. One,
16:12
how many people have been tested in
16:14
your state, total? Two, how
16:16
many people have tested positive? Three,
16:19
how many people can your state test per day? Thank
16:22
you. My deadline is Thursday at 10 a.m. Thursday
16:24
at 10 a.m. Thank you so much. Last edit was made
16:27
on March 4th, 2020 by Robinson Meyer.
16:31
I think the morning of a March 5th, I was even
16:34
like, well, that was a lark. I
16:37
sent out all those emails last night. I'm
16:39
not going to get any back. But Alexis started
16:41
getting responses almost immediately. Good
16:44
morning, Alexis. Good morning, Rob, in answer to your questions.
16:47
At this time, there are no confirmed cases of COVID-19
16:50
in South Carolina. Please see the... How many people have been
16:52
tested in Iowa, total? Eight. We
16:54
currently have the capacity to perform 80 to 100 tests
16:56
per day. Florida, positive
16:58
cases of COVID-19. There were nine.
17:01
Pennsylvania, at this time, the state lab can
17:03
test 20 to 25 specimens per day. Arkansas,
17:06
how many people can your state test per day? Four
17:08
to five people. Utah. Michigan has 86
17:10
people. Massachusetts. Delaware has tested
17:13
nine people. And we started to get enough responses
17:15
back where it was like, wow, you know, we
17:17
can start to say that
17:20
America's testing capacity is really
17:22
low. We put it together. The number
17:24
was tiny. We basically moved in the
17:26
course of an hour from, well,
17:29
maybe there's probably nothing there to like, oh
17:31
my gosh, we're sitting on national news. I need to publish
17:33
immediately. So then around 6 15 p.m.,
17:36
we showed up in our editor's slacks like,
17:40
hi, guys, you didn't know this, but for
17:42
the past 24 hours, we've emailed every state
17:44
in the country. And now we're sitting on national news and
17:46
we need you to help us publish the story immediately
17:49
to which our editors
17:50
were like, what? And
17:53
of course, we were like, we
17:56
need to publish. And on March 6th,
17:58
we published this story, which is like.
18:00
We can only confirm that fewer than 2,000
18:03
people have been tested for COVID in the United States.
18:07
Okay, so today, these two
18:09
great reports of the Atlantic did a lot of like shoe-leather
18:12
reporting, but they reported the following. We
18:14
can only verify that 1,895 people have been tested
18:16
for the coronavirus in the United States. The
18:20
Atlantic Magazine is reporting that... An investigation
18:23
by the Atlantic... ...published by the Atlantic on Friday...
18:25
The Atlantic could only verify that 1,895
18:27
people... ...have
18:30
been tested for the coronavirus in the United States. ...have been
18:32
tested for the coronavirus in the United States. ...have been tested
18:34
for the virus nationwide. And it
18:36
was basically,
18:38
as we were publishing the story,
18:40
all hell started to break loose in America, and
18:42
people started to realize what was really happening,
18:45
which was that there were tons
18:47
of infected people. You started to
18:49
get these stories of like people getting sick with
18:52
COVID-like symptoms, just whole
18:55
groups of people starting to get really, really sick,
18:57
particularly in New York.
19:02
The
19:03
virus starts taking hold in
19:05
big cities and nursing homes, but
19:07
public health officials still don't know
19:09
how many people have it or where
19:11
it's headed next.
19:12
We need to have testing. I mean, we
19:14
need to have testing available everywhere.
19:17
After the break, Dr. Deborah Birx,
19:19
White House Coronavirus Task Force Coordinator,
19:22
takes the fight for testing data to Washington.
19:25
So I wore my most
19:27
military-looking outfit that I
19:29
could find in my highest heels and
19:32
went to work. You're
19:34
listening to Reveal.
19:45
This series was funded in part by Tableau
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from Salesforce. As the world's leading
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20:14
I know, I know it's hard. You wait all
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week for this podcast and then it's
20:18
over and you find yourself wanting more.
20:21
Let me make a recommendation.
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20:41
From the Center for Investigative Reporting and PRX,
20:44
this is Reveal. I'm Al Letzen
20:47
and I remember when the first cases
20:49
of COVID started appearing in the US.
20:52
I was scared for my loved ones,
20:54
for me, for the world. And
20:56
I had so many questions like how
20:59
do we protect ourselves? Does masking
21:01
help? Where are the outbreaks? How
21:03
many people are sick? How many have
21:06
died? Early
21:08
in the pandemic, the federal government
21:10
found itself unable to answer many
21:12
of those basic questions. Public
21:15
health scientists like Jessica Molotti Rivera
21:18
were watching this unfold knowing
21:20
that accurate information, especially
21:22
testing data, was crucial.
21:24
Here's Jessica. Before
21:28
COVID, the US was ranked the world's
21:30
best prepared nation to confront a pandemic.
21:33
During previous outbreaks like Ebola or Zika,
21:36
you'd go to the CDC website for the most up-to-date
21:39
information.
21:40
But this time, it was different.
21:43
It begged the question, why were journalists
21:45
the first to compile accurate nationwide
21:48
COVID testing data? And why
21:50
were they doing what the CDC or the White
21:52
House Coronavirus Task Force should be doing?
21:55
That's what COVID Tracking Project producers Artis
21:57
Turiskis and Kara Oler wanted to know. Great.
22:00
Okay, this is where I'm supposed to go, right? Yep. Okay.
22:03
Up the hill? Up the hill and to the right. Good.
22:06
So on a hot day in June 2022, they
22:09
drive to the home of Dr. Deborah Burks in Washington,
22:11
D.C.
22:12
And this is her house in the
22:14
corner. Is that her den? Yes. Oh,
22:16
so many flowers! Dr. Burks
22:18
was the coordinator of the White House Coronavirus
22:21
Task Force during the Trump administration. She
22:23
was on the news most days early in the pandemic.
22:26
She was even spoofed on Saturday Night Live. Hello,
22:29
I'm Dr. Deborah Burks, Coronavirus
22:31
Response Coordinator. There's one
22:33
sketch where a cast member playing Dr. Burks
22:36
talks about her decades of experience in
22:38
infectious diseases and HIV research,
22:41
and how the media mainly focuses on her vast
22:43
collection of scarves. I'm on the front
22:45
lines of this pandemic, synthesizing
22:48
critical, dense information so
22:50
that the public can digest it. And
22:52
your takeaway is, wow,
22:55
that lady sure has
22:56
a lot of scarves. Or
22:58
you might remember Dr. Burks from an infamous press
23:00
conference, the one in April 2020, where President
23:03
Trump suggests that disinfectant might be a cure
23:06
for COVID. And I think you said you're going to test
23:08
that too. It isn't. Right, and then I see the
23:10
disinfectant where it knocks
23:12
it out in a minute, one
23:14
minute. And is there a way we can do something
23:16
like that by
23:19
injection inside or
23:23
almost a cleaning? Because you see it gets on the lungs
23:25
and it does a tremendous number on the lungs.
23:27
So it'd be interesting to check that so that you're going
23:29
to have to use medical doctors with. But
23:32
it sounds interesting to me.
23:34
Dr. Burks is sitting to the right of the president, hands
23:37
clenched together in front of her with a stoic look.
23:40
The camera is zoomed in on her face. As
23:43
he continues to speak, she stares straight
23:45
ahead, looking very uncomfortable. She
23:48
takes some deep breaths.
23:49
A person that has
23:51
a good, you know what, Deborah, have
23:53
you ever heard of her? And when he turns to her and
23:56
asks if she's heard of heat and light
23:58
as a treatment, she says, not
24:01
as a treatment. But
24:04
no one remembers that part. Dr.
24:13
Brooks's home is in a quiet neighborhood in DC. The
24:16
front garden is lush with violet hydrangeas.
24:19
Hi! Hi, Kara. Hi,
24:22
Kara. Artists. Artists. Great to
24:24
meet both of you. Thank you. Your garden is beautiful. Dr.
24:27
Brooks brings Kara and artists inside and walks
24:30
them to a wood-paneled room with bookshelves full
24:32
of presidential memoirs and scientific
24:34
literature about infectious diseases. She
24:36
tells them she has every COVID book that's been published.
24:39
And in case you're wondering, she's not wearing one
24:41
of her signature scarves.
24:42
Should we stay this far apart?
24:45
Is it okay to be closer with the mic? This
24:47
is pandemic journalism. Everyone stays
24:50
six feet apart. Dr. Brooks
24:52
is wearing a pink KN95 mask. No
24:54
one in this household has gotten COVID, so we take
24:56
all of our precautions seriously. Thank
24:59
you so much for having us here today. Yeah, yeah, no, I
25:01
tested this morning too, so I'm like a
25:03
tester. In January 2020,
25:06
Dr. Brooks is in Johannesburg, South Africa.
25:09
She's running PEPFAR, a program coordinating
25:11
the response to HIV AIDS in Africa.
25:14
She was nominated for the job by President Obama.
25:17
When news about COVID starts
25:20
to spread, Dr. Brooks is doing what she can
25:22
to help leaders prepare. So
25:24
she invites two former colleagues to speak with
25:26
African ambassadors. Those
25:28
colleagues are now well-known to most Americans,
25:31
Dr. Anthony Fauci, who she calls Tony,
25:34
and Dr. Robert Redfield, then director
25:36
of the CDC.
25:37
She calls him Bob. I had
25:39
Tony and Bob come because
25:42
I thought, I mean, I was sure
25:44
that we were doing what we were doing was right domestically,
25:47
and I wanted them to talk about it. Tony
25:49
talked about where we were with working
25:53
on therapeutics and working on vaccines,
25:55
and Bob talked about tests. So
25:57
I'm thinking
25:59
everything is covered. I'm thinking they've
26:01
got this. But then she wonders,
26:03
do they have this? The US
26:05
response is less thorough than she expects.
26:08
She's seeing news about temperature screenings at
26:11
airports. You know the ones that they point
26:13
at your forehead? And I'm like,
26:15
oh, that's gonna do nothing.
26:17
Nothing. I mean, that's not gonna work. They
26:20
should be testing at airports.
26:22
Dr. Burks worries that without testing, public
26:24
health officials will miss the asymptomatic cases,
26:27
meaning people who have COVID but
26:29
don't have obvious symptoms, like a fever.
26:32
And then she sees news out of Japan about
26:34
a COVID outbreak on a cruise ship.
26:36
Hold an update now on the coronavirus
26:39
outbreak. And then I see
26:41
the Diamond Princess. Ten people on the
26:44
Diamond Princess cruise ship have
26:46
tested positive for coronavirus. The 3,700
26:50
passengers and crew are now under
26:52
mandatory quarantine for two
26:55
weeks.
26:55
And they isolated all
26:57
of the passengers, but obviously not the
26:59
crew. Yet the virus, you
27:01
could see it spreading. Protective
27:03
isolation was extended only to
27:06
Diamond Princess passengers. Its crew
27:08
continued going door to door.
27:10
And I'm like, oh my God, they're not testing
27:12
the crew. And the crew, being younger,
27:15
are the asymptomatic
27:17
spreaders. This is right at
27:19
the beginning of February 2020. Case
27:21
numbers continue to rise on the ship, even
27:23
though passengers are isolated. And
27:25
so I'm thinking
27:28
that this is the evidence base for
27:30
asymptomatic spread, really clearly
27:32
documented. I'm writing Bob about getting
27:34
people off the ship. Because I'm like, oh
27:37
my God, everybody's going to get infected.
27:39
Dr. Brooks is sure that the crew is spreading
27:41
the virus. But the only way to really know
27:44
is by testing. And in those
27:46
early days, we didn't diagnose anybody,
27:49
really. That was asymptomatic because
27:53
there weren't enough tests. She figures
27:55
the CDC is planning to launch a massive
27:58
U.S.-wide testing program.
27:59
But then, right before Valentine's Day,
28:02
some bad news hits about tests. And
28:04
now to another story we continue
28:07
to follow tonight, the deadly coronavirus.
28:09
A slight setback when it comes to bracing
28:11
for the deadly coronavirus here in the U.S.
28:13
The CDC is remaking part of its coronavirus
28:16
test kits.
28:16
The CDC is redoing part, remaking
28:19
part, reformulating portions of test
28:21
kits that were flawed.
28:23
When the testing issue
28:26
developed in the CDC, everybody
28:29
was focused on the contamination.
28:30
The CDC says that some of the test
28:33
kits sent out to labs in states were
28:35
defective. The agency says many of the kits
28:37
have produced inconclusive... Inconclusive... Inconclusive
28:40
results. But I wasn't focused
28:43
on that. I was focused
28:45
on the fact that they were only shipping these
28:47
tests to public health labs. And
28:49
my siren went off.
28:51
State labs will have to wait until
28:53
replacement components are shipped out
28:56
by the CDC. And that's when
28:58
I was like, oh my God, they're
29:00
using the flu model. And then I
29:02
kept hearing all these references to flu
29:05
on the national news. And I'm like, oh,
29:07
this is really, we're in so much
29:09
trouble right now.
29:14
Flu tests are run by public health labs
29:16
around the country. Most states have
29:18
one of these labs, just one. In
29:21
Dr. Brooks' mind, using the flu model
29:23
for COVID-19 means testing a small
29:25
percentage of people and using estimates
29:27
to represent the spread of the virus throughout entire
29:30
states
29:31
and even the country. Also,
29:33
flu tests are for people who are sick. Dr.
29:36
Brooks thinks we should be giving COVID tests to people
29:38
without symptoms too.
29:40
She knows that we need real case data, not
29:42
estimates.
29:43
We don't know precisely how
29:46
and when and where this virus is going to
29:48
spread first. And you're isolating our
29:51
eyes. We don't have eyes on this virus.
29:53
You've created holes in
29:56
our surveillance system.
29:58
She thinks the CDC should work with private. private
30:00
labs to create millions of tests. Busing
30:03
only public health labs makes it impossible
30:05
to fully know who has the virus. The
30:07
state labs only cover a small fraction.
30:09
Diagnostic kits are going out to about 100 regional
30:12
centers now. They're getting help from public health labs
30:14
that are part of a flu monitoring system nationwide
30:17
to serve as an early warning if the coronavirus
30:20
does show up. Public health labs across
30:22
the country will soon begin testing people. Public
30:24
health labs across the U.S. Public health labs across
30:27
the country that meet CDC standards.
30:29
I would be screaming at the television
30:32
in South Africa saying, oh
30:34
no, no, no, no, no, no, no, no, you can't test just
30:36
through the public health laboratories because
30:39
they don't have high throughput platforms. I
30:42
mean, they're made for really small scale
30:44
outbreaks.
30:47
What we really needed was for testing to be available
30:50
everywhere.
30:56
Dr. Birx, who was still in Johannesburg,
30:59
writes to Matt Pottinger. He's Trump's
31:01
deputy national security adviser. Matt
31:04
is concerned too. They begin texting
31:06
back and forth. She says things like,
31:08
hey, I'm not seeing movement on testing.
31:11
What is going on? Where are you getting
31:13
the data? You know, I'm talking to Matt
31:16
about the testing issue and getting people
31:18
off the Diamond Princess. And he keeps calling
31:21
me and saying, they're not listening to me.
31:24
I'm not an MD. I'm not a public
31:26
health expert saying you
31:28
just have to come. You just have to come. And I was
31:30
like, I don't want to come. She
31:33
thinks that if she joins the Trump administration, it
31:35
might end her career. She might never
31:38
work in public health again. I mean, I
31:40
knew what it meant to go into
31:41
that particular White House, but I also
31:43
knew how bad this was going to get. But
31:46
Matt keeps asking. Matt's
31:48
wife, Ing, is also a close friend. They
31:50
had worked together back when Dr. Brooks was at the CDC.
31:53
She gets in touch too.
31:54
Ing wrote me and said, as
31:57
a mom, you know the threat to our family.
32:00
families and the country is our
32:02
family and our patient
32:04
at this time and you've got to come back. Matt
32:06
doubles down and calls Dr. Brooks again.
32:09
I tell Matt, fine, add
32:11
my
32:11
name to the list. For what?
32:14
I don't even know what it is. It's
32:16
volunteering to come
32:19
back and help them with the COVID response
32:21
at the federal level. I had no idea what it was. No
32:24
idea. I mean, there was no,
32:26
nothing beyond show up Monday morning.
32:31
While Kara and artists are interviewing Dr. Brooks,
32:33
she has to pause to take a Zoom call. Thank
32:37
you, thank you. So they have a chance to
32:39
catch up with her husband, Paige Reef, in
32:41
the kitchen. Paige worked for
32:43
President Clinton. He and Dr. Brooks
32:46
got married right before the first COVID case
32:48
emerged. They
32:49
were newlyweds when all this was happening. Paige
32:51
remembers the moment she decided to join the COVID response.
32:55
She called him. She was in South
32:57
Africa. She wasn't here. And
32:59
she called to say, listen, I
33:02
got a call. And
33:04
she said he said basically the one thing
33:06
that he knew would make me say yes.
33:10
He said, I was a Marine. You were in the army.
33:14
Your country needs you. And
33:16
that's when she said, Matt, we both understand that this
33:19
is a terminal event in my career. Your
33:21
country needs you. And
33:23
then she flew home and basically went into
33:25
full mode. She
33:27
got on a plane from South Africa. She got home on Sunday morning.
33:30
She was at the White House on Monday morning. And
33:32
then her lives changed forever.
33:43
Good afternoon. We just
33:45
finished the Monday meeting of the White House Coronavirus
33:49
Task Force.
33:49
Then I go back and look at all
33:52
our pandemic preparedness plans.
33:54
So I'm reading the whole 24 hours
33:57
coming back on the plane. And
33:59
the plan does.
33:59
doesn't really have space
34:03
for dramatic expansion
34:05
of tests or data. Dr.
34:08
Deborah Birx will be on our
34:10
team and even on her first day
34:12
she's already been contributing significantly.
34:15
I knew when I flew back that day
34:17
I had to say to myself it doesn't
34:19
matter what they say about you. Dr. Birx serves
34:21
as the U.S. government's leader today for combating
34:23
HIV AIDS globally. Nobody
34:26
else on the task force except for Tony
34:28
is a political, I mean
34:30
I knew I was going to
34:32
be in a very deep hole. Thank
34:35
you Mr. Vice President, it's a pleasure to be here.
34:37
I just arrived from South Africa last night. So
34:41
I wore my most military
34:43
looking outfit that I could find
34:45
in my highest heels and
34:47
went to work.
34:48
I'm trying
34:50
to get up to speed as fast as possible and I
34:52
look forward to the days I've had really working
34:54
together to end this epidemic. Thank
34:57
you. I
34:59
assumed that there was data. I mean I
35:01
thought okay well when I get there I'll
35:04
meet with Bob and I'll see all the data.
35:07
I just believed that there had to
35:09
be real U.S. data and
35:12
I go to that
35:13
first task force meeting Monday morning
35:15
and out comes a double-sided
35:17
excel sheet with
35:21
cases on it. That's what the
35:23
CDC produced and I was like what?
35:26
So I meet with Bob afterwards and said well
35:29
okay that's what you presented at task force. Where's
35:31
the rest of the data? Where is the data
35:33
down to the county level, the
35:36
community level?
35:38
They didn't have that data. What
35:41
did you say back to him? Well
35:44
I looked at him and just said
35:45
Bob we have data
35:48
on every single person who is
35:50
tested, their test results, their
35:52
referrals. In Sub-Saharan
35:55
Africa are you telling me we don't have this
35:57
here?
36:00
Dr. Brooks and her team have a system
36:02
for knowing every single person who has been
36:05
tested for HIV on the entire continent
36:07
of Africa.
36:08
And she's shocked that the CDC isn't doing something
36:10
similar for COVID. And
36:13
so that whole week, I'm
36:16
really worried because now I realize we
36:18
not only have to create tests and a communication
36:21
plan and an action plan, a full response
36:24
plan, but now I have to
36:26
create data streams.
36:34
Where is the COVID data? That
36:36
same question was nagging at Alexis
36:38
and Rob, the Atlantic reporters who
36:40
we heard from earlier. Coming
36:43
up, they take it upon themselves
36:45
to track testing and infections
36:47
across the entire country, pulling together
36:49
COVID data with help from an army of
36:52
volunteers. If we hadn't thought the
36:54
world was ending, you know, it was like, it would have been a really cool
36:56
thing to watch. That's next
36:58
on Reveal.
37:17
Hello, listener. My name is
37:19
Najee Bhamini and I am a producer
37:22
here at Reveal. Reveal
37:24
is a nonprofit news organization
37:26
and we depend on support from our listeners,
37:29
listeners like you. Donate
37:31
today at RevealNews.org slash
37:34
donate. It helps fund the stories
37:36
that
37:37
we tell and helps me
37:39
feed my cat. So thank you.
37:46
From the Center for Investigative Reporting and PRX,
37:49
this is Reveal. I'm Al Ledson.
37:53
Today, we're taking you back to the beginning
37:55
of the pandemic when information
37:58
was scarce. data
38:00
about infection rates, hospitalizations,
38:02
and deaths was critical to controlling
38:05
the spread of COVID-19. But
38:07
the CDC wasn't releasing it. We're
38:10
trying to figure out why. Epidemiologist
38:13
Jessica Malati Rivera of the COVID Tracking
38:15
Project brings us back to the moment
38:18
when reporters from the Atlantic broke the first
38:20
big story about the lack of testing
38:22
data in the US.
38:29
Rob Meyer and Alexis Magical, the journalists
38:32
you heard from earlier in the show, published
38:34
their article about the lack of testing in the US
38:36
on March 6, 2020.
38:39
Right after the story goes live, Alexis
38:41
gets a message. We hit publish on
38:43
the story. Me? I don't know. 10, 20 minutes
38:46
later, I check my email, and I have an email
38:48
from a guy named Jeff Hammerbacher.
38:50
So Jeff Hammerbacher was like an old,
38:52
old friend of mine. He was kind of like one of these
38:55
funny guys who was like a super jacked baseball
38:57
player, but low key was
39:00
actually a massive aunt. Just super
39:03
brainy dude. But anyway, he
39:06
sent me this email that was basically like,
39:08
hey, man,
39:09
so glad you published this. Did you use
39:12
my spreadsheet to help report
39:14
this out? So I clicked on the link and
39:17
realized that Jeff Hammerbacher,
39:19
my friend since I was 18 years old, had
39:22
been doing the exact same thing that Rob
39:24
and I had just done.
39:25
Jeff has also been looking at every
39:28
state website and writing down the numbers in
39:30
a spreadsheet, tracking the spread of the virus.
39:33
Jeff is a figure things out numbers
39:35
person. He's one of the people credited with founding
39:37
the field of data science. He was
39:40
an early hire at Facebook and designed
39:42
its data systems.
39:44
When COVID hits, he's worried about his family
39:46
and their safety. They're planning a trip
39:48
to China in April, so he goes
39:51
to the CDC website and one day there's
39:53
COVID testing data for the entire US
39:55
and the next. It's gone.
39:57
And someone was asking on Twitter, like where
39:59
this? to go. That's Jeff.
40:02
After COVID data vanishes from the CDC website,
40:05
he sees a Twitter thread about it. There's
40:07
a reply from someone at the Association of Public
40:09
Health Labs, and it says, if you
40:11
want case data, you have to go to the states.
40:14
Well, this is how it's supposed to work. There
40:17
wasn't supposed to be a federal dashboard.
40:19
It's a state-level problem,
40:22
so states are going to report the data. And
40:25
I just thought to myself, this is bonkers.
40:28
Why would that be how we do this? So
40:31
I just went looking for
40:34
public health websites for every state.
40:37
Jeff takes it upon himself to publicly
40:39
share whatever he finds. So I just started
40:41
tweeting every day at 5 p.m. like
40:44
the data. He publishes the sheet
40:46
on March 4th. Thousands of people
40:48
start viewing it. Two days later, Alexis
40:51
and Rob publish their story, showing how
40:53
few people have been tested.
40:55
Less than 2,000 in the entire country.
40:58
And I read it and I was like, wow, are
41:01
they using my data? This looks exactly
41:03
like what I've been working on. That's
41:06
funny. And I thought, well, maybe
41:08
Alexis just saw it. So I sent him an
41:10
email just to say, hey, man, did you
41:12
all use this data for your project? So
41:15
I sent him back a message like seven minutes
41:17
later saying, holy shit, I wish we had.
41:20
Were his exact words. We made this
41:22
one, which is a hell of a lot messier and includes media
41:24
reports and conversations with health officials. Tell
41:27
me more about your spreadsheet. We got to talking and
41:29
I was kind of like,
41:31
you know, do you want to figure out a way to keep working
41:33
on this together? Alexis
41:35
talks to Rob and they all decide to team up
41:38
together. They assume it's temporary,
41:40
but they're only going to do it until the CDC
41:42
starts publishing the data itself. Maybe
41:45
a few days. Until then,
41:47
they plan to gather the testing data from states
41:49
every day and publish it in their spreadsheet.
41:52
And it's a lot of data collection. So
41:54
they create a sign up form to recruit volunteers.
41:57
The form is called state testing
41:59
tracking.
43:59
There are a lot of folks hitting the spreadsheet, so it's unavailable,
44:02
which isn't great because this is one of the only sources
44:05
of COVID testing data in the United States.
44:07
It's crazy to think about how fast this is all happening.
44:09
The CDC is unfortunately not taking
44:11
responsibility for aggregating and sharing
44:14
these numbers. We hope they do soon.
44:17
And
44:17
I say, is there anyone within Google that
44:19
can assist? And it ultimately
44:21
got escalated up the chain at Google's to the
44:24
point where I got an email from Sundar Pichai,
44:26
the CEO. The fucking CEO
44:28
of Google was like, put some guys on it.
44:30
I got some people that I'm going to send you away. We're
44:32
going to
44:34
help. Within a few hours of Sundar's email, Google
44:37
engineers start to work on the problem. They
44:39
bring the spreadsheet back online by the end of the weekend.
44:42
And that was my first day
44:45
as a volunteer on the COVID tracking project.
44:47
Alexis
44:49
and Jeff start organizing volunteers to do data
44:51
shifts, while Rob is focused on reporting about
44:53
the data. He spends most of his time
44:56
calling public health departments and doctors. And
44:59
every time Rob pops back into the COVID tracking
45:01
project Slack,
45:02
it's grown like crazy. And so then
45:04
I'd go in the Slack and every
45:06
time it was like, there's
45:08
this scene in one of the Star Trek movies,
45:10
where basically
45:13
like a plant like evolves all the geological
45:16
and biological complexity of life in
45:19
two minutes on screen. There's
45:21
like a device called the Genesis device.
45:27
And it was like every time
45:29
that I came into the CDP Slack for
45:31
the next week, it was like a
45:34
higher order of life had evolved
45:37
in the Slack.
45:38
You
45:42
come in, you know, the first time it was like 20 people
45:44
and we were just like slacking about COVID data.
45:47
Then
45:48
I'd log in like six hours later, 50 people
45:51
in the Slack and there were seven different rooms
45:54
and like, you know, vertebrates
45:56
had evolved. Like
45:58
they were bony fishes, you know.
45:59
And then I'd log in the next day and there'd be a hundred
46:02
people in the slack. Hundreds of volunteers.
46:04
All these people who felt the same way
46:06
that I did. Really trying to help. And
46:09
it was like, there's flowering plants. So
46:11
many people gathered together.
46:13
The fishes have crawled up on the land, you
46:15
know?
46:18
All of these volunteers start showing up,
46:21
and suddenly there are hundreds of them from all
46:23
over the country. So many different
46:25
people, from scientists and public health professionals
46:28
to high school kids, from academic researchers
46:31
to boutique cannabis cultivators.
46:33
Some have lost family members to the virus, and
46:35
others just want to help out any way they can. I
46:38
was absolutely blown away. I'm a scientist,
46:40
I'm glad to help in any way I can. I'm here. I
46:42
work
46:42
in healthcare. I snowboard a lot. High school
46:44
senior. I'm a tech person. Teaching ballroom
46:47
dance is what I do. My kids are triplets.
46:50
It's crazy, crazy life.
46:51
Every day, the whole
46:53
slack was like building
46:56
out. It was overwhelming. It
46:58
was jargon and lingo. I had never used
47:00
slack before. I'm like, what is a thread? And
47:03
then channel.
47:03
Assembling new appendages, like
47:05
in an alien life form. I just wanted
47:07
to do something useful and wanted to help in some
47:09
way. If we hadn't thought the world was ending,
47:11
you know, it was like, it would have been a really cool thing to watch.
47:17
Not long after it started, I joined the
47:19
COVID tracking project. I messaged
47:21
Alexis. He added me to the slack,
47:24
and I started volunteering.
47:26
I wanted to help. With
47:28
my background in tracking outbreaks, I felt
47:30
I had something to contribute. And
47:33
I immediately realized we were all
47:35
asking the same questions. Where
47:38
is the CDC? Is the Trump
47:40
administration silencing them? And
47:43
where is the data? Honestly,
47:45
I figured it would be a short gig. Maybe
47:48
a couple of months of volunteering while the CDC
47:50
got it together and sorted their systems out.
47:53
We had no idea. It would take more than
47:55
a year.
48:00
Next episode, we'll hear from the
48:02
volunteers who became the de facto
48:05
source of COVID data for the country. When
48:07
we actually looked inside the federal government
48:10
response around data, you were just
48:12
sort of like, aren't there any people in here? Like
48:14
we're building data services
48:17
out of like sunflower seeds and big
48:19
league chew. Like where are the people?
48:22
COVID tracking project volunteers kept
48:25
track of every reported infection
48:27
and death. The pressure they're under
48:29
keeps ratcheting up. You begin
48:31
to realize that you really are tracking
48:35
deaths and people
48:37
on ventilators and things like that. I actually
48:39
always choke up when I talk about this, when I
48:41
start to realize it. This
48:43
is not just a data project. This is a project about
48:45
human data. And some of it
48:47
can be a little difficult.
48:48
Watching the numbers go up and up is a little difficult
48:51
for sure. With emergency
48:53
rooms overflowing and death tolls
48:55
starting to spike, getting a hold
48:57
of good data would become more important
49:00
than ever.
49:00
A refrigerated truck has now been
49:02
brought in here, a makeshift morgue.
49:05
Refrigerated trucks and tents have been stationed outside
49:08
of some hospitals to hold the bodies of the
49:10
dead. I need every city. I need every
49:12
county. I need every state.
49:15
And I need cases and
49:18
test positivity and hospitalizations.
49:21
And I was like, wow, aren't you getting that from the
49:23
CDC? And she's like, well, I haven't been
49:25
able to get it yet, but maybe you can figure it out.
49:28
There is no U.S. data that I could rely
49:30
on. The U.S. was the
49:32
top rated country in the world for pandemic
49:35
preparedness. So why was the government
49:37
relying on a bunch of volunteers?
49:39
I think the term is moral injury.
49:43
It's really hard to deal
49:46
with a sort of systemic
49:49
betrayal by the organizations
49:52
whose job it is to keep everyone safe.
49:56
That's coming up next week on part two
49:58
of our series, the COVID. Our lead
50:00
producers
50:00
for this week's show are artists, Turiscus
50:03
and Kara Oler. Michael
50:05
O'Shiller edited the show. Jessica
50:08
Malati Rivera is the series host. Thanks to production
50:10
assistants, Max Maldonado, Corey Suzuki
50:12
and Arushi Sahajpal. Thanks
50:15
also to the COVID tracking project at the
50:17
Atlantic where it all began and the oral history team
50:19
there. This series was funded
50:21
in part by Talley, the director of the American
50:23
film and the director of the American film and
50:26
the director of the American film. This series
50:28
was funded in part by Tableau from Salesforce.
50:32
Nikki Frick is our fact checker. Victoria
50:34
Baranetsky is our general counsel. Our production
50:36
manager is Steven Rascone. Score
50:38
and sound designed by the dynamic duo,
50:41
Jay Breezy. Mr. Jim Briggs and Fernando
50:43
Mamayo Arruda. Our post-production
50:46
team is the Justice League and this weekend
50:48
includes Catherine Steyer Martinez. Our
50:50
digital producer is Sarah Merck. Our CEO
50:53
is Robert Rosenthal. Our COO
50:55
is Maria Feldman. Our interim executive
50:57
producers are Brett Myers and Taki Telenides.
51:00
Artists and Kara co-executive produced and
51:02
reported the series. Our theme music is by
51:04
Camarado, Lightning. Support
51:10
for Reveal is provided by the Riva and David Logan
51:12
Foundation. The Ford Foundation, the
51:15
John D. and Catherine T. MacArthur Foundation. The
51:17
Jonathan Logan Family Foundation. The
51:19
Robert Wood Johnson Foundation. The Park
51:21
Foundation. And the Hellman Foundation.
51:24
Reveal is a co-production of the Center for Investigative
51:27
Reporting and PRX. I'm
51:29
Al Ledson. And remember, there is always
51:31
more to the story.
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