The Peter Attia Drive - #106 - Amesh Adalja, M.D.: Comparing COVID-19 to past pandemics, preparing for the future, and reasons for optimism
Episode Date: April 13, 2020In this episode, infectious disease and pandemic preparedness expert, Amesh Adalja, M.D., puts the current pandemic into context against previous coronaviruses as well as past influenza pandemics. Ame...sh also provides his interpretation of the evolving metrics which have contributed to big variations in modeling predictions, whether this will be a seasonally recurring virus, and perhaps most importantly—how we can be better prepared for the inevitable future novel virus. Finally, Amesh explains where he sees positive trends which give him reasons for optimism. We discuss: Amesh’s background in infectious disease [2:40]; When did the virus actually reach the US? And when did Amesh realize it would pose a real threat to the US? [4:00]; Comparing and contrasting COVID-19 to previous pandemics like the Asian flu of 1958 and the Spanish flu of 1918 [8:00]; Will COVID-19 be a recurring seasonal virus every year? [14:00]; Will a future vaccine be specific to this COVID-19 or will it also cover previous coronaviruses as well? [15:15]; What does Amesh think might be the true case fatality rate of SARS-CoV-2? [16:15]; Why did early models over predict infections and deaths by order of millions? [18:30]; Role of government—How does Amesh view the role of local versus central government in dealing with a future pandemic? [21:50]; What went wrong with testing and how could we have utilized it more effectively? [25:15]; Future pandemic preparedness—why Amesh is cautiously optimistic [27:30]; Should there be different policies and restrictions for places like New York City compared to less populated and less affected places across the US? [30:15]; Why mass gatherings might be disproportionately driving the spread of the virus [32:30]; Learning from HKU1, a lesser-known novel coronavirus from 2005 [34:00]; Thoughts on Sweden’s herd immunity approach [36:10]; The efficacy of masks being worn in public and what role they will play as restrictions are slowly lifted [37:20]; What are some positive trends and signs of optimism? [39:15]; and More. Learn more: https://peterattiamd.com/ Show notes page for this episode: https://peterattiamd.com/ameshadalja Subscribe to receive exclusive subscriber-only content: https://peterattiamd.com/subscribe/ Sign up to receive Peter's email newsletter: https://peterattiamd.com/newsletter/ Connect with Peter on Facebook | Twitter | Instagram.
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Now without further delay, here's today's episode.
Welcome back to another special episode of the COVID-19 series of the drive.
Joining me today is Dr. Amesh Adalja. Amesh is a senior scholar at the Johns Hopkins Center for
Health Security. He has long been focused on pandemic preparedness
and emerging work on infectious disease,
biosecurity, et cetera, for many years long
before this coronavirus entered our consciousness.
I wanted to talk with a measure a couple of reasons.
One, I'd heard him on other interviews,
particularly the one with Sam Harris.
Also, I'd seen him in interviews,
read some of his work and just found him to be a very thoughtful guy who could put the
coronavirus pandemic in the context of all the previous pandemics and not just the ones that are
immediately in our recollective memories such as SARS, MERS, H1N1, but even going back a little bit further than that.
This is a very brief discussion. He was incredibly busy. We were very fortunate to get 40 minutes of his time between other interviews, but we do cover quite a bit of ground.
And certainly everything I was hoping to speak with, which is a bit of a more clear history
of when this virus likely emerged, how it came here, and what we know about it relative
to other coronaviruses. We talk a lot about what the plan forward should be and we end with really
what he is most optimistic about.
So though this interview is relatively short for the standards of interviews that I do,
like I said, it's about 40 minutes.
I think we cover a lot and there's no question I would like to have a mesh back.
I do think it is really just an inevitability that we will once again face a pandemic and
whether it's a coronavirus or another virus
is probably less the point here, but unquestionably, there are things that we could do better
the next time we're faced with this. So without further delay, please enjoy my conversation
with Dr. Amesh Adaljah.
Amesh, thank you so much for making time to speak this afternoon.
I know you're incredibly busy and we were lucky to sort of catch you in between interviews
and television appearances.
So thanks very much.
I'll just sort of jump right to it.
I reached out to you because I was very interested in your perspective on the historical similarities
and differences between this pandemic and previous ones. Maybe just
briefly tell us a little bit about your background and why it is that you're not
just someone who came to be interested in this in the past three months. So I'm an
infectious disease emergency medicine and critical care physician who's focused
this entire career basically on the issue of pandemic preparedness, pandemic
prediction, infectious disease and national security,
emerging infectious disease, even from the time when I was a trainee, that's basically all I focused.
And I work at a think tank that's devoted to this issue, and I've been there basically full time
since 2010 or so, but I've been there since 2008 working on this, I've published on pandemic
prediction on what the characteristics of certain pathogens that cause pandemics would
be on H1N1, on Ebola, on agents of bioterrorism.
So I've really focused and tried to niche myself into this aspect of infectious disease
in medicine.
So this is an outbreak that had been on my radar before it hit headlines and I've been
following it almost the way people follow sports teams that they like.
Tell me a little bit about what you thought in college December when we at least in the
West saw the first report of the case in China.
What was your intuition at the time?
At that time, I was trying to take what the Chinese were saying at face value, meaning
that they had learned from the lessons of SARS about transparency and we're going to do
this in a different manner.
And they did produce the virus sequence very quickly
that allowed diagnostic tests and vaccine development
to start, and we were able to identify novel coronavirus.
But initially, a lot of the reports were saying,
this is something that was animal to human,
really tied to wet markets in Wuhan,
that there wasn't evidence of human to human spread.
There were no deaths yet.
But I did think that 41 patients getting something
from one animal at one market really seemed very odd to me that that seemed to be too much. So I was a
Little bit skeptical that this was just an animal to human event unless there was something different going on
There were multiple animals that were infected and infected multiple people
But as soon as I saw the first paper and that was a lancet paper where they showed the first case got ill on December 1st
I saw the first paper, and that was a lancet paper, where they showed the first case got ill on December 1st, and he had no contact with the market.
That told me that we were dealing with a transmissible human to human respiratory virus,
and this was going to be a pathogen that was going to spread and not be containable,
and that we were going to have to get ready.
I had a lot of questions about the case fatality ratio, the hospitalization rate, which I still
have, but I knew at that point when you had a virus that spreads efficiently between humans to humans through the respiratory
route, you really have to prepare for this being everywhere, especially when you know that this
had a head start, at least spreading since mid-November in China, and nobody knew about it until late
December. So that gave a virus a very big head start and could have been anywhere by the time we
actually knew it was, as soon as we discovered that it actually existed.
Based on that, do you think it's possible that this virus was in the United States potentially
even within an individual prior to December 31st?
This is a little bit of controversy.
I do know that with past novel coronavirus that have been discovered like HKU1, which
isn't one that people think about, but it is one that was discovered post-SARS, it was
everywhere as soon as they found it. This one, it doesn't appear that,
at least that there wasn't widespread presence of it before maybe January. However, I don't
rule out the possibility that it could have been mixed in our flu and cold season.
Maybe a sporadic case here or there that was mild, that didn't get diagnosed. But it doesn't appear
at least from the phylogenetics,
the genetics of the virus that we're seeing
from both New York and Washington,
that this was around before that.
But I do think it's gonna be important to go back
and look at bank samples and look at people
to see if there were cases.
I don't think there were a lot of them.
I think we would have noticed if there were a lot of them,
but I think there may have been sporadic cases
that were mixed into flu and cold season.
But it's an open question,
and I think it's a good hypothesis, and I think it's something that deserves a lot more attention.
At what point of mesh were you becoming convinced that this was going to enter the U.S.
in a manner that was going to pose real difficulty for the country?
So I knew it was going to enter the United States almost from the onset. As soon as we knew that
this was transmitting between humans to humans, that this wasn't going to be containable, just like when H1N1 appeared in 2009
and was found in Mexico, that we knew that this wasn't
going to be something that would spare the United States.
What I wasn't quite attuned to is how difficult it would be
to contain in the United States.
Because I, like many of us, believe that our diagnostic
testing and our case finding and our contact tracing would have been
Really much better than it was, but the fact was we didn't know who had this who didn't have it our testing
Made it much harder to actually do that and we weren't even testing mild cases and those mild cases are arguably more contagious than the severe cases
So that let this slip from something that was potentially controllable and wouldn't have been a problem
Or a major problem not putting cities like New York City under the stress that they're under
To one that became completely unmanageable because we basically were
Allowing this virus to have about two months of unabated spread in the United States and that's something that most of us did not think what happened
because we thought that we were much more resilient to these types of
most of us did not think what happened because we thought that we were much more resilient to these types of infections than we really were.
And I think that didn't have to be that way, but that's basically how it turned out.
When you go back and look at the history of not just the other corona viruses, which
have gotten a lot of airtime lately, of course, most people, even if they don't remember
the ins and outs of SARS and MERS. They're certainly familiar enough, but when you go back even further and look at some
of the the flu's that occurred in Asia, Hong Kong in the 1950s, 60s, and of course going
back even further to the Spanish flu of 1918 to 1920, what are some of the similarities
that you see with this novel coronavirus?
And of course, I'll contrast that in a moment
with what the differences are.
And the point of this exercise is less about
just abstract history, but more to understand
what we can learn.
Sure.
So if you go back to 1957 and 1968,
these were pandemics that were marked
by the emergence of a novel flu virus
that spread around the world very rapidly.
And if you look at the United States
experience with the 1957 and 1968, about 100,000 people died from that, which is a substantial
number because on record right now the worst flu season we've had outside of 57 and 68
has really been 2017, 2018 where about 80,000 people or so may have died. So these were severe
outbreaks and flu has a lot of similarities with coronavirus,
but there are some differences. So one thing is, they both are transmitted through the respiratory
route. They both have symptoms that are included coughing and sneezing and sore throat and muscle
aches and pains and fever, so they have a lot of overlap clinically. And I think that because
of the way they spread in their symptoms, you can look at their spread and there's a lot of analogies that you can draw.
But what I would say is with flu is sometimes it's difficult because people have already taken flu and put it into their own risk of daily life.
That they know that there's going to be maybe 30,000 to 50,000, 60,000 people who die every year.
So even during a pandemic like 1957 and 1968, most people still carried on because
this was still a flu virus. And the same thing happened to an extent with 2009 H1N1, especially
when we realized that its case fatality ratio was actually less than seasonal flu. Even though
it infected 61 million Americans led to a lot of hospitalizations and put hospitals into
distress, it wasn't that deadly, so people kind of took it and stride. This is something
that's a little bit different because it's on top of fluids, additive to flu. I think that's
one of my pet peeves of the media coverage is sometimes they try to compare it to flu. But remember
that we're already going to have 40 to 50,000 deaths from flu, and this is on top of that.
I do think that influenza gets a short shrift by people because it's something that they take
for granted and don't realize the burden of infection that it has and that influenza still, even today,
remains the biggest pandemic threat that we face.
If you think about it about some of the influenza viruses like AV and influenza, they have
case fatality ratios of about 65 percent.
That's too much for the world to bear.
So if one of those like H7N9 became able to efficiently transmit from humans, that's
a totally different type of pandemic
that we're talking about than what we're dealing with today.
And I think that's important.
And maybe that's why I seem a little bit more optimistic
than most people are a little bit more measured
when I'm talking about this.
Because in my mind, I'm thinking about avian influenza
and what that kind of a pandemic would represent.
And I used to say that this is kind of a trial run
because it's less than 1% case fatality rate.
Maybe as low as 0.3% case fatality rate. But we didn't do is kind of a trial run because it's only, it's less than 1% case fatality rate, maybe as low as 0.3 case fatality rate.
But we didn't do that great of a job with it in terms of diagnostic testing in hospital
capacity and personal protective equipment.
So that's magnified this, and that's the human factor that's magnified what the virus
could do.
And I think that's an important point to make.
And that's how I would kind of leave it, is it that you have certain ways to think
about this using flu as an analogy, but I do think that I'm a little more worried about our pandemic
resiliency based on how badly we've handled a 1% case fatality rate pandemic virus, where you've got
cascading decisions by governors and states and countries all around the world that really have
magnified the damage that the virus has done. One other question I want to ask before we leave the historical, which is the sort of
ebbing and flowing recurrences that occurred back in some of these other pandemics where
it's easy to sort of think of them as this was the impact on the United States, but not
realizing, well, actually, it had a different impact on this city versus that city.
They were not just different in terms of the strain
they put on the health care system or even the mortality rate, but even temporarily they could
be separated by quite a period of time. Is that something that also applies here in your opinion?
I do think so. We have this tendency to think of a pandemic as a homogenous wave over the
whole world or even a country, but it's actually many small outbreaks together. And everybody's on
a different time scale based upon when the virus is
introduced into that area, what their population density is, what their hospital
capacity is, what demographic got infected. So you aren't going to see synchronous
outbreaks. They're going to be a little bit staggered and it's going to be
differences on, for example, when did somebody do social distancing, when did
someone not do social distancing, how do they vary between this state and that
state?
That's also going to impact the trajectory of the outbreak.
You might see places like I'm sitting here
in Pittsburgh right now,
which hasn't had a bad experience with this virus yet.
But we've had the opportunity to learn from New York
in Seattle and San Francisco.
And that's gauged the way that we've dealt with testing
and hospital capacity.
So our outbreak is gonna be different because we we've learned from them and we don't have
the population density issue.
So I do think there is going to be ebbing and flowing, especially with social distancing,
varying and maybe lifting in certain places of the country and not lifting in other places.
And you may find that this virus is going to have some degree of seasonality.
I don't think it will have complete full seasonality because there are so many people that are susceptible
to it, but you may see this come back in successive waves.
And remember, there are four other coronaviruses that circulate every year and cause about 25%
of our colds.
This is something that I suspect will be the fifth one that does that.
And it looks like it has an intermediate severity.
It's not as severe as SARS, for example, which has a case fatality ratio of about 10%,
but it doesn't seem to be as mild as the other four coronavirus.
So I do think you're going to see ebbing and flowing, especially a social distancing changes
across the country until we have a vaccine.
And is it your view that this will now be a fifth coronavirus that will fit into the mix
and it's never really going to go away?
In the way that at least SARS and MERS because of their severity, they
don't really factor into that recurrent cycle we see every year.
I do think this is going to be the fifth seasonal coronavirus, and I would say with SARS and
MERS, it's not just that they were more severe, which they are.
It's that they're poorly transmissible from human to human.
They are mostly zoonotic or meaning animal to human transmission.
So SARS from POM-SIVIT cats, Middle East respiratory syndrome, or MERS from camels. So that's something that's
really limited to their spread. It's only those individuals who are in
contact with those animals that are really at risk. And when you look at their
outbreaks, they're very specialized. They're happening in healthcare facilities
of core infectious control, and it doesn't really sustain itself in the human
population. Whereas if you look at the other four coronaviruses, the ones that
cause common colds,
they are ubiquitous, they transmit very easy,
they have a mild spectrum of illness,
which allows people to go about their daily life
and spread, and this new novel coronavirus
does appear to be more like them
in terms of their transmissibility.
So that's why I think that this will be
the fifth seasonal coronavirus until there's a vaccine.
Do you think a vaccine is going to be specific to this coronavirus, or do you think that it will
be more geared towards all coronavirus as to cover not just this one, but perhaps others that will
potentially emerge. SARS-CoV-3, that's five years away.
Right now, vaccine development is promised on making something specific to this specific immunogenic protein that the immune system recognizes for this virus.
So it will be specific to that, but I do suspect you might see some cross-reactivity between
the vaccine for this SARS-CoV-2 and other related coronaviruses.
Maybe the SARS-CoV-2 clusters in something called the beta coronaviruses.
Maybe the vaccine will work against all beta coronaviruses, but it will be great if it
worked against all coronaviruses and we had a panchronavirus vaccine.
We might get something like that because coronaviruses are different than, for example, influenza,
which has been very hard to make a universal flu vaccine.
The coronaviruses in general tend to be much more stable, even though there's some diversity
among them.
We might have cross protection, which would be useful to take other threats like Middle
East respiratory syndrome and the original SARS off the table as well.
When H1N1 hit, you sort of alluded to this briefly, the case fatality rate was initially
deemed to be much higher.
It was only once we appreciated how prevalent it was that the case fatality rate came so
far down.
Believe in the end, it's less than 0.1 percent correct.
Yes, yeah, definitely.
What is your real assessment now?
And again, you can only be speculating at this point,
I understand, but what do you think is the true case
fatality rate of SARS-CoV-2 specifically?
And if you want to answer that, by the way, in terms of,
I think that the CFR is going to be this for people over 60
and this for people under 60, and it blends out to this.
I mean, answered any way you see fit.
So the CFR has been really hard to calculate
because we have a severity bias
because testing has been so heterogeneous around countries.
So what I do is try to look at a place
that's tested extensively and use that
as kind of a barometer.
And right now it used to be South Korea
that tested and now it seems to be Germany
is doing the best testing.
And you're also looking at modeling study
So some of the modeling studies from Imperial College put the case fatality ratio at 0.66%
Germany looks like it's at a 0.3 something percent. Yeah, I think 0.37 this morning. Yeah
Yeah doing antibody testing to try and understand
So I do think it's probably in that range probably in the 0.3 to 0.66. I say that with some confidence, but it may drift lower or higher depending upon how
much severity bias is in the samples.
And it's very hard.
We probably won't truly know until we do retrospective studies looking in anabody,
so to understand how prevalent it is.
And there's differences amongst that, because that's an average number.
If you're above 80, your case fatality ratio may be high as 15%.
If you're 8 years old, your case fatality ratio maybe tie is 15%. If you're eight
years old, your case fatality ratio may be 0%. So I think it's important to remember that
these are average numbers and it's not every person carries that risk. Some people will
have much, much higher risks and some people will have lower risks. And I think that's sometimes
lost and nuanced when you try to come up with one number.
Absolutely. Yeah. Blending that is, you know, there's lots of glib examples of how you can drown in an
average of three inches of water, of course, if you're walking across a river that has vacillating depth.
Because you're, again, kind of a veteran of this, what do you think was sort of the
overslash underdoing of some of the predictions that came out in the sort of Gen 1 models that
showed up in sort
of February where they were saying, look, this is something that is going to infect 200
million Americans. It's going to kill two to four million Americans. Do you think that
that type of modeling historically has ever shown to be accurate? Or do you think that, yes,
that was accurate. and it's the measures
that are in place that are going to hopefully prevent that from happening, because it seems
less likely now that we're heading in the direction of those types of doomsday scenarios.
But again, it's hard to know how much of that is in response to the measures that have
been enacted versus predictions that were predicated on poorly understood things, including
what the R-NOT was.
I think that models you have to realize have assumptions built into them.
And you have to look at those assumptions, because just a small difference in the assumption
can lead to a big change on the end of it.
And what I would think, at least from my understanding of many of the models, is that the hospitalization
rate was probably overstated because we know for example that the diagnosis that we're talking about in any given city or town are likely understated by a factor of at least maybe 10 and I can say that for my own practice when I order the test and don't order the test. There's many patients I think happy disease and I don't order the test. So there clearly is a severity bias and who gets tested.
is a severity bias and who gets tested. And then I think you see this idea of 15 to 20% getting admitted to the hospital. I think that that doesn't necessarily mean everybody
of the people that get infected. Maybe that's 40% of the population over time. That 15 to
20% of those individuals get admitted. It's more like of the 40% of the population that
get infected. The ones who go to an emergency department, 15 to 20% get admitted.
And maybe the real hospitalization rate is 5%.
If you look at, for example, Westchester County's data,
which I haven't looked at lately,
but the last time I looked,
they did a lot of heavy testing in that part of New York State
because they had that outbreak in New Rochelle.
And their hospitalization rate was around 5%,
a little bit less than 5% the last time I calculated it.
And that changes, that gives you a major change from going down from 20% to 5% in terms of
what your ventilator needs are, what your ICU bed capacity needs are, and what the case fatality
ratio is going to be if you look at what the hospitalization rate is.
And I think that that's at least one of my criticisms of some of the models.
The hospitalization rate was set too high and that they were at least one of my criticisms of some of the models, the hospitalization rate
was set too high, and if they were taking too big
of a fraction, using the wrong denominator,
I think, to come up with what their case fatality ratios are,
what their ICU bed needs would be,
and what their mechanical ventilation needs would be.
And that happens, because models have lots of assumption
in them, and they should be used as tools.
They're not ironclad, and I think that sometimes
that gets lost, and the press reporting of them, they look at as if they are the truth, and they need to be revised.
And when you have real data from real hospitals and real people, it should supplant what you're
using with the model.
So if your model is not matching reality, then I think you need to change the assumptions
on the model or actually look at reality.
These are tools, and all models are going to be wrong.
Some of them are going to be useful, and some of them are not going to be useful.
I agree.
I think it's, unfortunately, the press sometimes views corrections of models as a sign of
weakness as opposed to a necessary part of the evolution of utilizing the tools you described
it.
We've talked a little bit about this being a dress rehearsal for what is coming unquestionably
at some point very likely in our lifetimes, which is another
pandemic, another virus, and potentially one that could be much more devastating. You use an
example of viruses that are typically transmitted only from animals to humans that can potentially be
much more catastrophic, but if those viruses ever figure out how to go human to human, they spread much more.
What is your view on the role of local versus central government in dealing with that?
Can't imagine there isn't a role for both, but I feel personally very confused when I try to sometimes play the game
if I reserve for a day what would I do different. But the reality
if it is it's easy to play armchair quarterback. I'm not
really sure I know what the federal government should be
doing in this situation versus the state governments and
local governments. So this is something that's pretty unique
to the United States because we have a system of a federal
government with states and locals having most of the power
and especially through in public health because most public health powers are vested at
the local and state level.
And the federal government is more of a coordinator, even the CDC can't actually get involved in
something unless they're asked by a state.
So you will often see differences and heterogeneity between recommendations from maybe one counting
to the next or even and definitely from one state to the next.
And sometimes that can be confusing.
I do think that I'm generally supportive of local health departments being the ones running it because they actually know their community and
know their capacities, they know where their gaps are and they're able to really be on the ground with the people and able to do great things when it comes to
stopping and outbreak but often what we find is local health departments aren't appropriately resourced. You've got one
person doing four different roles in a small town's health department, and that
can be very constraining. And what you need to really do is have those local
health departments actually operating the way that they should be and thought of
as part of the whole pandemic response apparatus, whereas many people think of
just the CDC, the NIH, and parts of the Health and Human Services Department
as the main pandemic apparatus.
But it's actually the local health departments
that do all that case finding and isolation
and talk to the public and deal with hospital capacity levels.
It's the local health department.
So I can't overstate how important
local health departments are.
And I do think that that system works well,
but you do need to have federal leadership
to kind of guide the nation as a whole on what to expect and what's going on.
And I think that's sort of enlisting a lot during this outbreak compared to other outbreaks.
And because of that, you've seen governors at state health departments take on roles
that they usually haven't taken, where they've deferred much more to federal experts, not
the powers, but the guidance and looking to them to set the tone.
And I think now we're finding governors basically stepping into that role
for the most part and even mayors in some places.
And I think that can be confusing to a member of the general public
because they don't know who to believe, especially if there's conflicting information.
You have a press that's constantly trying to pit one governor against another governor
or against the federal government, and that makes it much harder.
But I do think that when the process works well with local,
state, and federal government all in step, it much harder. But I do think that when the process works well with local, state, and federal government
all in step, all doing the appropriate roles, I do think it works pretty well.
You have a locally managed, federally coordinated response, which I think is the best way to think
about how would be ideally done.
Is it safe to say that testing is really something that, like, if you go back in time and maybe
change one thing, if we're sitting here in its January 12th and we now have the sequence of this virus, would that have potentially been one
of the more important things for the federal government, for that centralized piece of government
to have put in place? The CDC could have said, look, we're going to make this the highest priority
because it strikes me as that's something very difficult to be done in a decentralized manner.
Right. So what happened was the cdc put out
guidance on who should be tested which basically was taken as gospel by the state
health department and that included
only people that had traveled to china in the last fourteen days
as well as
someone had had to have lower respiratory tract
symptoms you couldn't have just had a sore throat you had to have
evidence that maybe you had pneumonia to be tested.
So we weren't testing mild cases and we weren't testing people that had to come to China.
That was a federal decision.
And I think that could have been done better and allowed much more latitude.
Because you can remember that first case in California that didn't have travel to China,
the hospital had to actually fight to get that test run.
And there were many cases like that all over the country.
And if you look at New York's epidemiology,
their introduction of the virus was not from China. It was from Europe. And that slips through the
type of testing algorithm. So I do think that there could have been at the beginning an idea that
somebody could have said, this is a respiratory virus. It has many overlapping symptoms with
common colds and flu. You should think about this in your patients. And we are going to allow
testing to be done if you have certain risk factors for this and they shouldn't
just be restricted to you having severe disease or having travel to China.
That would have changed the way that the general public and clinicians would have thought
about this.
The other thing is, is that there were bureaucratic rangles that paradoxically once the public
health emergency was declared, they were unable to make diagnostic tests as freely available as would have been if there wasn't a public health emergency
made.
So, for example, you had university labs and big commercial labs not being able to make
a test, even the CDC's test had to go through FDA emergency use authorization before it
could be distributed to the states.
So there were a lot of bureaucratic hiccups that created a problem that compounded the
testing protocol with the scarcity of tests and a delay in getting
testing kits everywhere. And then we still have shortages of reagents and nasal swabs, and we're
still not to where we need to be with testing. And not to get too far ahead of ourselves, but
do you get the impression that the response to this is serious enough that it will now be taken
more seriously to have kind of that type of emergency response
ready five years from now when people have long forgotten about this.
I hope so.
I think this is something that's going to leave a mark on society.
This isn't happened in modern times, not during the 68 or 57 pandemics.
It did happen in 1918, but that's not anybody's living memory anymore.
So I do think that this is something that people will remember.
And they will remember the cost that they personally had to incur filing for unemployment for the first time. All
of that type of stuff is going to hopefully push the public to demand that pandemic prepared
and this be taken seriously. So this doesn't happen again. And that this should be a priority.
This should be something that's in in a candidate's campaign literature. This is what I think
about pandemic preparedness. And it always should have been. But we've gone through this cycle for a long, long time.
You can think about anthrax in 2001,
bird flu scares in 2005,
the H1N1 pandemic in 2009, Ebola in 2013, 2014,
the Zika right after that.
We've had multiple types of episodes
and you get this cycle where everybody runs to fund this
reactively and then it goes from
the, it disappears from the headlines and no one remembers it.
And then the same cycle happens.
They cut positions at the National Security Council when there's nothing going on.
They do a lot of things that make us less resilient to pandemics, not realizing that this
is a perpetual threat, just like any other national security concern that you have to be prepared
for this at all times.
And you have to actually think about it that way and fund it that way and have the proper personnel even between pandemics
and between outbreaks.
But you are optimistic that this time, I mean, just based on the economic consequences of
this, even if not one more person were to die in the United States, which means, frankly,
let's be clear, if not one more person died in the United States as of today, this would
not be a major source of mortality.
This would still be a rounding error
compared to influenza.
But you're just saying the economic consequences
of this have been so severe that you're optimistic
that we're not gonna walk away from this one in 18 months
and sort of forget about it
and do well the wrong stuff all over again.
Yeah, I do suspect we're gonna have many more of this.
Probably closer to that, 60,000.
I do think that the fact that this outbreak touched people personally in a way that Ebola
did not, the way that Zika did not, the way even that H1N1 did not, H1N1 actually engendered
complacency because only about 12,000 Americans died and the people said we all overreacted
to H1N1.
So I think this is actually something that every American is feeling right now because
of the economic shutdown, the stay at home orders, all of that, the fact that they had to
adjust their entire life.
This is something that's been extremely disruptive.
And I think that hopefully the public remembers that when they vote and when they ask their
policymakers about what their plans are for the future, that pandemic preparedness becomes
something that is a platform issue now.
Based on where we are, what do you think is the right strategy?
For example, a place like New York versus a place like you pick any city you like, whether
it be Pittsburgh, Houston, cities where it's been nowhere near that.
How would you start to think about changing any of the policy or is the answer until we
have more testing we can't
make any more decisions. I do think based on modeling if you if you
some of them are valid and what's going on in the ground in hospitals you can
start to see this heterogeneity across the country and not every place is going
to be New York City not every place has that population density or hospitals
that are at the brink all the time so I do think that there are places where you can start to think about
relaxing some of the social distancing recommendations as well as the economic shutdowns.
Especially things like elective surgeries at hospitals and opening clinics at hospitals.
I think that already needs to happen, especially so in places where they're not inundated
because you're going to get other health consequences that are not captured by the models
which are really measurable and will pay for down the road.
I do think you can look right now at the governor's lists of what is an essential or a life-sustaining
business or what is not, and look at who they're granting exemptions to and try to be a little
bit broader about that.
Think about looking to see what your school system is like, and can you open schools in a safe
manner right now based on what the conditions are in your area, because even whole Closure of schools was very controversial and not supported by everybody in my field
So there are things that you can do and I do think it's not going to be one-size-fits-all
It's going to be dependent on what's going on locally?
How much transmission do you have what is the antibody status of your population?
What's your hospital capacity and what is your ability to do diagnostic testing?
Do you have the new rapid test available in many different places?
All of that can help condition how we get back to normal or a new normal because I do think that things like mass gatherings are going to be very
Hard to have for some time until we have a vaccine because I think a mass gathering is kind of can put a town over the edge
If they get multiple episodes of transmission at a mass gathering
But I do think that we can start taking steps
And I hope that we start doing it because this cost is something that is measurable and
it increases every day and I do think that they're going to be consequences that are not
captured by our models, which are really only focused on coronavirus.
Yeah, it's a very exciting point you raised there with respect to mass gatherings.
I mean, I think the German data, which just came out basically last night, would suggest that it's really the mass gatherings
that are disproportionately driving the spread
versus two people having dinner at a restaurant.
Is it your view that there's really something
quite devastating about concerts and live sporting events
that is not necessarily captured
in going to the grocery store?
Yeah, a mass gathering brings people from wide geographic areas. If you think about
I live in Pittsburgh and there are stealer fans that come from everywhere in the country to watch a
stealer game and then they go back to their hometowns. That's the way you can disperse things.
And sporting games are not people sitting quietly with just one person.
They are social gatherings where people are yelling and screaming and eating
and drinking, and all types of things that a virus would look at is an easy way to get
from one person to another.
We know that when people shout and scream, they make particles come out of their mouth.
That can transmit.
We've seen this at choir practice, for example, with this coronavirus.
Just think of that inside of football stadium, and you can imagine how these types of things
can transmit.
I do think that mask gatherings because of the density, because of the fact that people come from different
geographic regions and then just spurs are a particular problem when it comes to communicable
infectious diseases. And we see this every year with, for example, religious pilgrimages
to Saudi Arabia where they make sure that you have this type of vaccination, they have
a whole division of the World Health Organization devoted to mass gatherings because we know
what their role is in spreading infectious diseases.
And I think that's gonna be something
that's going to be a challenge to have
until there is a vaccine.
And I wanna go back to something you said about HKU1.
Tell folks a little bit more about that coronavirus
and the concern it gives you.
It's less of a concern than it gives me now,
but it's more of understanding what happens
with coronavirus.
So go back to 2003 and SARS is the first coronavirus that really hits the map as a pandemic threat
before their thought of his common cold viruses.
Now everyone's on a lookout for any new coronavirus.
And what they do is they, in Hong Kong, HKU stands for Hong Kong University, they find
a novel coronavirus in some individuals that had pneumonia.
And they start looking, they find more, they actually look at bank samples that were negative
for SARS, positive for HKU.
They look in other countries, they find AIDS-KU, and they actually find it in Cleveland.
In the proportion of patients that were hospitalized for coronavirus, HKU is disproportionately
found, even in patients who died or were on ventilators.
And it was basically everywhere you looked.
That's interesting because it kind of flew under the radar, because no one knew it was basically everywhere you looked. That's interesting because it kind of flew under the radar because no one knew it was there
because we do such a poor job at testing for respiratory viruses.
Many times people go to the doctor and they say, oh, you've got some virus, we don't know which one,
but you're going to get better.
And that's even the case for pneumonia, because most people don't get a specific microbiologic diagnosis of their pneumonia.
So we really have this biological dark matter everywhere.
And I initially thought maybe this coronavirus was around hidden in our cold
Influcies and clearly was hidden in China's cold in flu season since at least November
But it doesn't appear at least from what I've seen now that there was much burden of that in the United States prior to
2020 that this might have been something that really only began an earnest in January
But I would not be surprised if you find a bank sample that there were cases in December that were mixed in just like with HKU1. But I do think we would have
noticed if there was a lot of these people getting really ill and ending up on ventilators and
were flu negative and not negative and negative for everything else. Somebody at least enough of them
would have raised some alarm bells I would hope, but I do think it's an important lesson to think
about with a virus that can spread
Serotonously and you don't know about it because our diagnostic curiosity is so bad for many infectious disease syndromes
Yeah, that's a nice way of putting it poor diagnostic curiosity If you've been following the sort of natural experiment that's going on in Sweden natural experiment meeting
There's no randomization, but rather Sweden has sort of elected to not shut down to the
extent that other European and Scandinavian countries have paid attention to the transmissibility
in Sweden or do you have any comments on it?
I've looked a little bit at what Sweden's doing where they're trying to pursue a herd
immunity strategy, and I do think that you're going to see more cases there, which is what
they're aiming for.
I'm just worried because they're per capita ICU bed, numbers are not very high,
and that's what we're really worried about
is do you put an ICU into crisis,
do you have problems with ventilators?
And I think it will be really instructive
to see if they can get through this
because I know they have a steep curve of infections,
but it's all gonna depend upon who's getting sick
and how well they can sequester their high risk groups,
which I think is very daunting and challenging.
I'm all for it,
they're tuning the elderly
and those are the other medical conditions, but I know
it's very challenging because they have to interact with other people to get
their food to do other things and that can be really challenging. So I do think
that everybody's eyes are on Sweden to see if this type of thing can work, but I'm
worried about how challenging it might be for them because there is that group
of people that are going to get hospitalized and could put a hospital into
crisis. Last thing I want to ask you is what role do you think masks are going to play as
we start to slowly ease restrictions in the coming months?
Do you think that we kind of got off to a bad start on understanding the potential benefit
of an N95 mask for people in public who are otherwise at relatively low risk?
So this is a controversial in my field and I tend to be someone who's not someone supportive
of mass by the public, and especially not N95 mass,
which I think are in short supply, unclear whether the public
can actually bear wearing them for a long period of time
because they're not comfortable to wear.
And really what we saw in the beginning was a recommendation
to not wear mass for the general public
because it wasn't going to protect you from getting infected to one that's transitioned to wear masks so
that you don't infect other people.
So I would say if someone is sick, they have a cough, if they have a fever, if they're
sneezing or a sore throat, they should be wearing a mask when they're out in public.
Question is, are people who are asymptomatic having no symptoms?
How transmissible are they if they don't wear a mask?
And this is an open question,
but CDC made a recommendation for people to use homemade masks in that event. And I'm not sure how
well those homemade masks prevent you from spreading it if you are one of those asymptomatic persons,
because they don't even stop the coughs and sneezes very well based on some studies that have
been published. So I'm someone who doesn't necessarily think that these masks are going to be very beneficial
and they could be paradoxically negative because people may then refrain from washing their
hands as much, they may not social distance as much, they may contaminate other people with
their mask if they don't store it properly or wash it.
So I have a lot of concerns about masks, but I think that this is a decision that's going
to be made on a political basis.
And there is enough scientific controversy that I think politicians may use it as a way to move forward in a way that allows us to
open schools, open businesses up if they have people wearing masks, but I'm not sure
if we'll get much benefit from them, but it is something that's going to be an object
of controversy for some time in the field.
What you most optimistic about today?
I would say that I'm most optimistic about the fact that we have seen plateauing in
New York, Seattle, California. We've heard about, for example, California actually taking ventilators
and giving them to other states. We've heard about Washington State dismantling their field hospital
that they made that did not see any patients. We've heard about Washington returning ventilator
strategic national stockpile. All of that makes me very optimistic that we will be able to meet
the challenge of this virus
without putting any of our hospitals into crisis.
That this is going to be a severe challenge for this country,
but it's not something that is going to break the country
and it's not going to be cataclysmic.
So all of those types of things, which are not well reported,
the fact that ventilators are going back to the stockpile
or that field hospitals are closing.
I think that makes me optimistic
because there is a narrative that's rightly focused
on areas like New York and New Orleans and Chicago
and Detroit, but you also have to tell the good stories
that there are places that we're preparing for a surge.
And now they're downsizing, they're nursing staff
because less people came.
So I think that that's an important part to know
that it's not gonna be doom and gloom in every place.
And that we need to help New York and New Orleans
and Detroit and Chicago get through this, but not every city is going to have that experience. So going to be doom and gloom in every place. And that we need to help New York and New Orleans and Detroit and Chicago get through this,
but not every city is going to have that experience.
So we're going to learn from those experiences.
And I think hopefully we'll get to a better pandemic resiliency position after this.
So I am generally more optimistic than most people in my field, I think.
Mesh, thank you very much for all your insight today.
I'd like to reserve the right to sort of invite you back when the dust has settled and we have much more time to talk about what a true preparedness strategy
would look like because I again, I do have a significant fear that is visceral and palpable
and disturbing as all of this is today, both in terms of the physical suffering but the
fear, the economic devastation that we're a species that is relatively hardwired to have
remarkable amnesia. I don't know. I think it would be an unmitigated disaster if two years from
now we're sitting here, and this is not at all a topic of discussion, and someone like you is not
able to command the type of audience of policymakers to do what's necessary. So, in my hope that we can
have that longer discussion
when there are fewer fires burning,
but when I think the stakes are equally high.
Thank you, I hope so too.
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