WEBVTT

00:00:00.375 --> 00:00:01.980 align:middle line:84%
Of all the products
in the world you

00:00:01.980 --> 00:00:05.280 align:middle line:84%
don't want to use
market-based prioritisation,

00:00:05.280 --> 00:00:08.790 align:middle line:90%
it's got to be vaccines.

00:00:08.790 --> 00:00:10.890 align:middle line:84%
There's no technology
known to man now

00:00:10.890 --> 00:00:14.107 align:middle line:90%
that is faster than mRNA.

00:00:14.107 --> 00:00:17.370 align:middle line:84%
Because of this monopoly
or duopoly position

00:00:17.370 --> 00:00:19.080 align:middle line:84%
that the sellers
are in, it tends

00:00:19.080 --> 00:00:21.720 align:middle line:84%
to have a high amount of
market power and ability

00:00:21.720 --> 00:00:23.392 align:middle line:90%
to get higher prices.

00:00:23.392 --> 00:00:28.200 align:middle line:84%
Vaccines save two to three
million lives every year.

00:00:28.200 --> 00:00:30.960 align:middle line:84%
But bringing them to market
involves huge investments,

00:00:30.960 --> 00:00:36.040 align:middle line:84%
complex science, and
secretive contracts.

00:00:36.040 --> 00:00:38.650 align:middle line:84%
Before the Covid-19
pandemic, few people

00:00:38.650 --> 00:00:42.160 align:middle line:84%
paid attention to the business
models behind vaccines.

00:00:42.160 --> 00:00:47.480 align:middle line:84%
The global pharmaceutical
market was worth $1.3tn in 2019.

00:00:47.480 --> 00:00:49.750 align:middle line:84%
Vaccines made up just
3 per cent of that,

00:00:49.750 --> 00:00:52.870 align:middle line:84%
generating around
$33bn of revenue.

00:00:52.870 --> 00:00:57.600 align:middle line:84%
That compared to $142bn
from cancer drugs.

00:00:57.600 --> 00:01:00.300 align:middle line:84%
So how do the economics
of vaccines work?

00:01:00.300 --> 00:01:01.320 align:middle line:90%
Who funds them?

00:01:01.320 --> 00:01:03.600 align:middle line:90%
How profitable are they?

00:01:03.600 --> 00:01:06.990 align:middle line:84%
And will the Covid-19
pandemic and new technology

00:01:06.990 --> 00:01:08.850 align:middle line:84%
disrupt the vaccine
market forever?

00:01:16.500 --> 00:01:18.240 align:middle line:84%
Until recently,
there have really

00:01:18.240 --> 00:01:21.180 align:middle line:84%
only been four main players
in the vaccine market -

00:01:21.180 --> 00:01:25.230 align:middle line:84%
GlaxoSmithKline, Merck,
Pfizer, and Sanofi.

00:01:25.230 --> 00:01:28.410 align:middle line:84%
They represented 90 per cent of
the vaccine industry revenues

00:01:28.410 --> 00:01:30.360 align:middle line:90%
in 2019.

00:01:30.360 --> 00:01:33.090 align:middle line:84%
Even for these market
leaders developing a vaccine

00:01:33.090 --> 00:01:35.790 align:middle line:84%
is a costly and
time-consuming gamble.

00:01:35.790 --> 00:01:38.820 align:middle line:84%
The process often
takes a decade.

00:01:38.820 --> 00:01:42.240 align:middle line:84%
Work on infectious diseases
is often very obscure

00:01:42.240 --> 00:01:45.030 align:middle line:84%
because the burden is
so much out of sight

00:01:45.030 --> 00:01:48.510 align:middle line:84%
in the rich countries and
where the deep scientific

00:01:48.510 --> 00:01:50.347 align:middle line:90%
and manufacturing power is.

00:01:50.347 --> 00:01:53.220 align:middle line:84%
Government is the main
funder of the science.

00:01:53.220 --> 00:01:54.270 align:middle line:90%
And that's critical.

00:01:54.270 --> 00:01:56.920 align:middle line:84%
And in all of the
benefits we have today,

00:01:56.920 --> 00:02:00.120 align:middle line:84%
if you think about the
sequence analysis or the mRNAs

00:02:00.120 --> 00:02:03.450 align:middle line:84%
and the biotechnology, the
new manufacturing, all of that

00:02:03.450 --> 00:02:06.585 align:middle line:84%
came out of investments
in basic science.

00:02:06.585 --> 00:02:08.910 align:middle line:84%
As you go into
phase 1 trials these

00:02:08.910 --> 00:02:10.680 align:middle line:90%
are taken over by industry.

00:02:10.680 --> 00:02:13.320 align:middle line:84%
Maybe one in every 10
vaccines and a phase 1 trial

00:02:13.320 --> 00:02:15.960 align:middle line:84%
goes on to be approved,
while 50 per cent

00:02:15.960 --> 00:02:19.260 align:middle line:84%
to 70 per cent of
vaccines in phase 3 trials

00:02:19.260 --> 00:02:20.775 align:middle line:90%
end up being approved.

00:02:20.775 --> 00:02:24.240 align:middle line:84%
They will only invest once
the market and the chances

00:02:24.240 --> 00:02:25.650 align:middle line:90%
of success are well known.

00:02:25.650 --> 00:02:27.150 align:middle line:84%
This doesn't mean
there's zero risk.

00:02:27.150 --> 00:02:30.000 align:middle line:84%
But largely what we see
is that the public sector

00:02:30.000 --> 00:02:31.477 align:middle line:90%
takes on most of that.

00:02:31.477 --> 00:02:33.810 align:middle line:84%
But indeed, this is what
allows the business of vaccines

00:02:33.810 --> 00:02:35.850 align:middle line:90%
to operate.

00:02:35.850 --> 00:02:38.550 align:middle line:84%
The cost of creating a
vaccine varies widely.

00:02:38.550 --> 00:02:41.160 align:middle line:84%
On average, it ranges
from several million

00:02:41.160 --> 00:02:44.460 align:middle line:90%
to a few billion dollars.

00:02:44.460 --> 00:02:46.570 align:middle line:84%
Supply, demand, and
pricing for vaccines

00:02:46.570 --> 00:02:49.150 align:middle line:84%
are determined by a
small number of actors.

00:02:49.150 --> 00:02:52.060 align:middle line:84%
On the buyer side, national
governments and organisations

00:02:52.060 --> 00:02:55.120 align:middle line:84%
like Gavi, the Vaccine
Alliance, and Unicef are among

00:02:55.120 --> 00:02:57.260 align:middle line:90%
the biggest purchasers.

00:02:57.260 --> 00:03:00.620 align:middle line:84%
On the seller side are
the pharma companies.

00:03:00.620 --> 00:03:03.170 align:middle line:84%
Because the development
costs and regulatory barriers

00:03:03.170 --> 00:03:06.530 align:middle line:84%
for vaccines are high, companies
can maintain their monopolies

00:03:06.530 --> 00:03:08.170 align:middle line:90%
for longer.

00:03:08.170 --> 00:03:11.210 align:middle line:84%
It tends to have a high amount
of market power and ability

00:03:11.210 --> 00:03:13.520 align:middle line:84%
to get higher prices
than, let's say,

00:03:13.520 --> 00:03:18.410 align:middle line:84%
a generic small molecule drug,
or even a vaccine for which you

00:03:18.410 --> 00:03:20.720 align:middle line:90%
have lots of competitors.

00:03:20.720 --> 00:03:24.500 align:middle line:84%
Up until Gavi was created, the
global alliance for vaccines,

00:03:24.500 --> 00:03:28.190 align:middle line:84%
in the year 2000, there
was no purchasing power

00:03:28.190 --> 00:03:32.750 align:middle line:84%
to get those new vaccines to
the kids who needed them most.

00:03:32.750 --> 00:03:36.080 align:middle line:84%
So that was this great irony
that, for example, rotavirus

00:03:36.080 --> 00:03:40.610 align:middle line:84%
and pneumococcus vaccines
that now save millions

00:03:40.610 --> 00:03:43.370 align:middle line:84%
of young children's lives,
they weren't getting out

00:03:43.370 --> 00:03:44.315 align:middle line:90%
in these countries.

00:03:44.315 --> 00:03:46.790 align:middle line:84%
Normally, what happens is
when vaccines come out,

00:03:46.790 --> 00:03:49.610 align:middle line:84%
they come out at a high
price in a low volume.

00:03:49.610 --> 00:03:52.850 align:middle line:84%
And over time, as
the yield goes up,

00:03:52.850 --> 00:03:55.370 align:middle line:84%
as other manufacturers
begin to produce it,

00:03:55.370 --> 00:03:56.990 align:middle line:90%
prices come down dramatically.

00:03:56.990 --> 00:04:00.620 align:middle line:84%
To give an example, our
vaccines that are the WHO

00:04:00.620 --> 00:04:04.940 align:middle line:84%
approved vaccines
cost over $1,300

00:04:04.940 --> 00:04:06.560 align:middle line:84%
if you look at it
in the US model.

00:04:06.560 --> 00:04:08.980 align:middle line:90%
And we pay $27 for those.

00:04:08.980 --> 00:04:11.105 align:middle line:84%
So it's a pretty
dramatic difference.

00:04:11.105 --> 00:04:12.920 align:middle line:84%
Gavi typically
negotiates procurement

00:04:12.920 --> 00:04:16.100 align:middle line:84%
on behalf of 60 per cent
of the world's children.

00:04:16.100 --> 00:04:18.709 align:middle line:84%
They try to ensure low and
middle income countries pay

00:04:18.709 --> 00:04:22.205 align:middle line:84%
significantly less for vaccines
than rich countries do.

00:04:22.205 --> 00:04:24.440 align:middle line:84%
If the disease is
in the rich world,

00:04:24.440 --> 00:04:28.880 align:middle line:84%
one of the western companies
will invent a new vaccine

00:04:28.880 --> 00:04:31.840 align:middle line:90%
with huge R&D investments.

00:04:31.840 --> 00:04:34.840 align:middle line:84%
They'll charge a reasonably
high price as much as, say,

00:04:34.840 --> 00:04:37.180 align:middle line:90%
$100 in western markets.

00:04:37.180 --> 00:04:39.190 align:middle line:84%
And then eventually,
either they'll

00:04:39.190 --> 00:04:47.140 align:middle line:84%
make a cogs-oriented version or
the Indian or other developing

00:04:47.140 --> 00:04:49.870 align:middle line:84%
country manufacturers
will come in.

00:04:49.870 --> 00:04:52.780 align:middle line:84%
By prioritising high
volumes at low prices,

00:04:52.780 --> 00:04:55.660 align:middle line:84%
the Serum Institute of India
has become the world's largest

00:04:55.660 --> 00:04:58.330 align:middle line:90%
vaccine manufacturer by volume.

00:04:58.330 --> 00:05:02.380 align:middle line:84%
It typically produces more than
1.5bn doses of vaccines every

00:05:02.380 --> 00:05:06.190 align:middle line:84%
year, which are used
in 170 countries.

00:05:06.190 --> 00:05:08.080 align:middle line:84%
This year it has
increased capacity

00:05:08.080 --> 00:05:10.870 align:middle line:84%
and is aiming to manufacture
at least one billion doses

00:05:10.870 --> 00:05:13.990 align:middle line:84%
of Covid-19 vaccines
alone after signing deals

00:05:13.990 --> 00:05:16.555 align:middle line:90%
with AstraZeneca and Novavax.

00:05:16.555 --> 00:05:19.600 align:middle line:84%
It is more expensive to make a
vaccine in the US and Europe.

00:05:19.600 --> 00:05:23.650 align:middle line:84%
Traditionally, those companies
haven't had large facilities

00:05:23.650 --> 00:05:27.260 align:middle line:84%
because the volumes that
they sell at are much lower,

00:05:27.260 --> 00:05:28.330 align:middle line:90%
but at a very high price.

00:05:31.690 --> 00:05:33.340 align:middle line:84%
Well, these are
proprietary products

00:05:33.340 --> 00:05:37.540 align:middle line:84%
that the companies have spent
lots of money in high risk

00:05:37.540 --> 00:05:39.460 align:middle line:90%
in order to go through trials.

00:05:39.460 --> 00:05:41.070 align:middle line:84%
They have to
recover all of those

00:05:41.070 --> 00:05:43.720 align:middle line:84%
and make their profit
from the rich world

00:05:43.720 --> 00:05:46.150 align:middle line:84%
market and the
middle income market,

00:05:46.150 --> 00:05:49.330 align:middle line:84%
knowing that those Gavi markets
are not going to give them

00:05:49.330 --> 00:05:51.895 align:middle line:90%
any meaningful margin.

00:05:51.895 --> 00:05:55.460 align:middle line:84%
But returns on investment
are not straightforward.

00:05:55.460 --> 00:05:58.690 align:middle line:84%
The lack of transparency around
each company's production costs

00:05:58.690 --> 00:06:02.260 align:middle line:84%
makes it difficult to assess
a vaccine's profitability.

00:06:02.260 --> 00:06:05.620 align:middle line:84%
We do know that at the top end
Pfizer's pneumococcal vaccine,

00:06:05.620 --> 00:06:07.930 align:middle line:84%
Prevnar, which works
against pneumonia,

00:06:07.930 --> 00:06:12.555 align:middle line:84%
generated $5.8bn
in revenue in 2019.

00:06:12.555 --> 00:06:14.805 align:middle line:84%
If you've invested maybe a
few hundred million dollars

00:06:14.805 --> 00:06:19.582 align:middle line:84%
in the R&D 10, 15, 20 years ago
and you have a captive market,

00:06:19.582 --> 00:06:21.540 align:middle line:84%
then you're going to make
a pretty good profit.

00:06:21.540 --> 00:06:23.070 align:middle line:90%
A very, very healthy profit.

00:06:23.070 --> 00:06:25.035 align:middle line:84%
Some would even say
an excessive profit.

00:06:25.035 --> 00:06:27.540 align:middle line:84%
At the other end of the
spectrum are well-established,

00:06:27.540 --> 00:06:30.270 align:middle line:84%
low-cost children's
vaccines, like measles.

00:06:30.270 --> 00:06:32.460 align:middle line:84%
Low profits drove
several producers out

00:06:32.460 --> 00:06:35.310 align:middle line:84%
of the market in
the 1970s and 80s.

00:06:35.310 --> 00:06:38.160 align:middle line:84%
In the past decade an increase
in vaccines for adults

00:06:38.160 --> 00:06:40.620 align:middle line:84%
and those taken annually,
like the flu vaccine,

00:06:40.620 --> 00:06:43.240 align:middle line:84%
have helped make the
market more profitable.

00:06:43.240 --> 00:06:46.470 align:middle line:84%
But for governments, the health,
societal, and economic returns

00:06:46.470 --> 00:06:48.720 align:middle line:90%
are much greater.

00:06:48.720 --> 00:06:52.380 align:middle line:84%
Gavi estimates a $21 return
for every dollar invested

00:06:52.380 --> 00:06:55.230 align:middle line:84%
in vaccine programmes for
the 73 countries it typically

00:06:55.230 --> 00:06:56.430 align:middle line:90%
supports.

00:06:56.430 --> 00:06:59.670 align:middle line:84%
Well, the most salient
number is that in the year

00:06:59.670 --> 00:07:05.470 align:middle line:84%
2000 over 10m children under
the age of five died every year.

00:07:05.470 --> 00:07:10.690 align:middle line:84%
By 2016, that number
was under 5m per year.

00:07:10.690 --> 00:07:11.980 align:middle line:90%
That's per year.

00:07:11.980 --> 00:07:14.990 align:middle line:90%
That's millions.

00:07:14.990 --> 00:07:17.180 align:middle line:90%
This is the way things work.

00:07:17.180 --> 00:07:18.170 align:middle line:90%
Then came the pandemic.

00:07:23.640 --> 00:07:26.910 align:middle line:84%
The outbreak of Covid-19
brought China and then Europe

00:07:26.910 --> 00:07:28.620 align:middle line:90%
to a standstill.

00:07:28.620 --> 00:07:32.220 align:middle line:84%
As the novel coronavirus spread
to the US and across the globe,

00:07:32.220 --> 00:07:33.900 align:middle line:84%
it wasn't long
before governments

00:07:33.900 --> 00:07:36.870 align:middle line:84%
were betting billions of
dollars on developing vaccines

00:07:36.870 --> 00:07:38.710 align:middle line:90%
to fight the pandemic.

00:07:38.710 --> 00:07:42.030 align:middle line:84%
A new vaccine market was
about to emerge where demand

00:07:42.030 --> 00:07:44.970 align:middle line:84%
was unlimited, and governments
would do everything

00:07:44.970 --> 00:07:46.845 align:middle line:90%
in their power to secure doses.

00:07:53.000 --> 00:07:57.860 align:middle line:84%
The total amounts involved
relative to normal vaccine R&D,

00:07:57.860 --> 00:07:59.750 align:middle line:84%
it's tens of billions
of dollars, maybe

00:07:59.750 --> 00:08:03.200 align:middle line:90%
a total of $25bn or so.

00:08:03.200 --> 00:08:06.020 align:middle line:84%
That's gigantic in
the world of vaccines.

00:08:06.020 --> 00:08:10.200 align:middle line:84%
Now relative to the economic
damage of the pandemic,

00:08:10.200 --> 00:08:13.580 align:middle line:84%
which is in the trillions,
it's truly a rounding error.

00:08:13.580 --> 00:08:16.340 align:middle line:84%
This is the best money that's
been spent by governments

00:08:16.340 --> 00:08:17.585 align:middle line:90%
during this pandemic.

00:08:17.585 --> 00:08:19.700 align:middle line:84%
The public sector,
governments collectively,

00:08:19.700 --> 00:08:22.070 align:middle line:84%
have really de-risked
and subsidised

00:08:22.070 --> 00:08:25.280 align:middle line:84%
the R&D process every step
of the way from the earliest

00:08:25.280 --> 00:08:28.990 align:middle line:84%
stages of R&D, oftentimes to
the scale-up of manufacturing

00:08:28.990 --> 00:08:31.603 align:middle line:90%
and, of course, purchasing.

00:08:31.603 --> 00:08:33.770 align:middle line:84%
Other big funders include
the Bill and Melinda Gates

00:08:33.770 --> 00:08:35.390 align:middle line:90%
Foundation and CEPI.

00:08:35.390 --> 00:08:38.240 align:middle line:84%
The Coalition for Epidemic
Preparedness Innovations

00:08:38.240 --> 00:08:39.919 align:middle line:84%
is a public private
partnership that

00:08:39.919 --> 00:08:43.940 align:middle line:84%
supports vaccine development
to stop future epidemics.

00:08:43.940 --> 00:08:46.070 align:middle line:84%
One recipient of a
small grant from CEPI

00:08:46.070 --> 00:08:48.290 align:middle line:84%
at the start of the
pandemic was Moderna,

00:08:48.290 --> 00:08:52.680 align:middle line:84%
a biotech company that had yet
to bring a product to market.

00:08:52.680 --> 00:08:56.340 align:middle line:84%
By the end of 2020, US federal
funding for Moderna's vaccine

00:08:56.340 --> 00:09:00.985 align:middle line:84%
had swelled into the billions,
and it was approved for use.

00:09:00.985 --> 00:09:04.780 align:middle line:84%
So Moderna took a huge amount
of public money - up to $4bn

00:09:04.780 --> 00:09:06.430 align:middle line:90%
from the US government.

00:09:06.430 --> 00:09:09.655 align:middle line:84%
And that helped them build
this proof of concept.

00:09:09.655 --> 00:09:13.270 align:middle line:84%
The vaccine uses messenger RNA
technology which the company

00:09:13.270 --> 00:09:16.600 align:middle line:90%
spent a decade developing.

00:09:16.600 --> 00:09:21.160 align:middle line:84%
We invested around $3bn
in the last 10 years

00:09:21.160 --> 00:09:23.440 align:middle line:84%
to get the technology
to this place.

00:09:23.440 --> 00:09:25.870 align:middle line:84%
The pandemic has
accelerated the company

00:09:25.870 --> 00:09:28.180 align:middle line:84%
turning into a commercial
company by three

00:09:28.180 --> 00:09:30.550 align:middle line:90%
to maybe four years.

00:09:30.550 --> 00:09:34.480 align:middle line:84%
The first vaccine approved in a
western country also used mRNA.

00:09:34.480 --> 00:09:37.390 align:middle line:84%
It was made by US
pharmaceutical giant Pfizer

00:09:37.390 --> 00:09:39.190 align:middle line:90%
and Germany's BioNTech.

00:09:39.190 --> 00:09:41.650 align:middle line:84%
While Pfizer did not take
public funding to develop

00:09:41.650 --> 00:09:46.240 align:middle line:84%
and manufacture its vaccine,
it did have an initial $1.95bn

00:09:46.240 --> 00:09:49.900 align:middle line:84%
advance purchase agreement
through Operation Warp Speed.

00:09:49.900 --> 00:09:52.720 align:middle line:84%
The US government's COVID-19
investment programme has

00:09:52.720 --> 00:09:57.550 align:middle line:84%
surpassed $10bn, most of which
has been spent on vaccines.

00:09:57.550 --> 00:10:01.090 align:middle line:84%
It's not the only country that
placed huge bets on vaccines.

00:10:01.090 --> 00:10:04.330 align:middle line:84%
China and Russia funded
their own vaccine candidates.

00:10:04.330 --> 00:10:08.935 align:middle line:84%
And the German government
gave BioNTech $445m.

00:10:08.935 --> 00:10:14.380 align:middle line:84%
The UK government contributed
£65.5m to Oxford university.

00:10:14.380 --> 00:10:17.320 align:middle line:84%
And its vaccine manufacturing
partner, AstraZeneca,

00:10:17.320 --> 00:10:21.640 align:middle line:84%
received up to $1.2bn for trials
in manufacturing from the US

00:10:21.640 --> 00:10:22.480 align:middle line:90%
government.

00:10:25.450 --> 00:10:28.870 align:middle line:84%
Well, there was no point in us
generating a vaccine in January

00:10:28.870 --> 00:10:31.193 align:middle line:84%
of last year if it wasn't
going to be able to take it

00:10:31.193 --> 00:10:32.860 align:middle line:84%
all the way through
clinical development

00:10:32.860 --> 00:10:34.870 align:middle line:84%
and into emergency
use licensure.

00:10:34.870 --> 00:10:37.810 align:middle line:84%
And as a university
we are able to do

00:10:37.810 --> 00:10:40.570 align:middle line:84%
much of the early
clinical development

00:10:40.570 --> 00:10:42.818 align:middle line:84%
and get that taken
quite a long way,

00:10:42.818 --> 00:10:44.860 align:middle line:84%
but we were never going
to be able to manufacture

00:10:44.860 --> 00:10:48.865 align:middle line:84%
a vaccine that was going to
be used as a licenced product.

00:10:48.865 --> 00:10:51.820 align:middle line:84%
The unprecedented public funding
helped these companies develop

00:10:51.820 --> 00:10:54.040 align:middle line:90%
vaccines in less than a year.

00:10:54.040 --> 00:10:56.830 align:middle line:84%
Until now, the fastest
vaccine ever created

00:10:56.830 --> 00:11:00.860 align:middle line:84%
was a mumps vaccine developed
by Merck in four years.

00:11:00.860 --> 00:11:03.990 align:middle line:84%
The pandemic demanded
an urgent response,

00:11:03.990 --> 00:11:06.090 align:middle line:84%
but that also led to
questions about the prices

00:11:06.090 --> 00:11:09.135 align:middle line:90%
of Covid-19 vaccines.

00:11:09.135 --> 00:11:11.110 align:middle line:84%
We have a high
degree of secrecy.

00:11:11.110 --> 00:11:13.470 align:middle line:84%
We have governments really
desperate for access

00:11:13.470 --> 00:11:16.020 align:middle line:84%
to vaccine supplies and
willing to sometimes

00:11:16.020 --> 00:11:17.640 align:middle line:90%
pay very, very high prices.

00:11:17.640 --> 00:11:19.290 align:middle line:84%
And things are
happening very quickly

00:11:19.290 --> 00:11:20.470 align:middle line:90%
under emergency conditions.

00:11:20.470 --> 00:11:22.830 align:middle line:84%
So it's, unfortunately,
a perfect storm

00:11:22.830 --> 00:11:27.030 align:middle line:84%
where the risk of abusive
pricing or unfair pricing

00:11:27.030 --> 00:11:28.940 align:middle line:90%
is quite high.

00:11:28.940 --> 00:11:32.207 align:middle line:84%
I think pharma did hold a lot
of power in this negotiation.

00:11:32.207 --> 00:11:34.290 align:middle line:84%
But I also think that they
could have gone higher.

00:11:34.290 --> 00:11:35.760 align:middle line:84%
Plenty of investors
actually would

00:11:35.760 --> 00:11:39.097 align:middle line:84%
have liked them to go higher and
didn't make a secret of that.

00:11:39.097 --> 00:11:42.420 align:middle line:84%
Prices for Covid-19
vaccines very widely.

00:11:42.420 --> 00:11:46.110 align:middle line:84%
The Oxford-AstraZeneca vaccine
is about $3 to $4 a dose.

00:11:46.110 --> 00:11:48.120 align:middle line:84%
Along with Johnson
& Johnson they

00:11:48.120 --> 00:11:50.850 align:middle line:84%
have committed to selling their
vaccine on a non-profit basis

00:11:50.850 --> 00:11:52.440 align:middle line:90%
during the pandemic.

00:11:52.440 --> 00:11:54.960 align:middle line:84%
AstraZeneca say they
will do so in perpetuity

00:11:54.960 --> 00:11:57.480 align:middle line:84%
for low and middle
income countries.

00:11:57.480 --> 00:12:00.210 align:middle line:84%
Moderna said it has charged
the US government as little

00:12:00.210 --> 00:12:05.220 align:middle line:84%
as $16.50 per dose to return
some money to taxpayers.

00:12:05.220 --> 00:12:09.690 align:middle line:84%
But smaller orders for other
customers range from $32 to $37

00:12:09.690 --> 00:12:12.090 align:middle line:90%
per dose.

00:12:12.090 --> 00:12:16.120 align:middle line:84%
We invested $3bn in this
technology since the beginning.

00:12:16.120 --> 00:12:18.000 align:middle line:84%
We've never made
a penny of profit.

00:12:18.000 --> 00:12:19.740 align:middle line:84%
We thought it was
not appropriate not

00:12:19.740 --> 00:12:20.940 align:middle line:90%
to make a small profit.

00:12:20.940 --> 00:12:23.940 align:middle line:84%
The value that we are
asking for the product

00:12:23.940 --> 00:12:26.640 align:middle line:84%
is way undervalued to
the healthcare system.

00:12:26.640 --> 00:12:31.590 align:middle line:84%
If you just look at the saving
in just hospitalisation costs,

00:12:31.590 --> 00:12:33.870 align:middle line:84%
they run much, much
higher per inhabitant.

00:12:33.870 --> 00:12:35.760 align:middle line:84%
It's very difficult
to actually come up

00:12:35.760 --> 00:12:39.060 align:middle line:84%
with an evidence-based judgement
on the fairness of any price

00:12:39.060 --> 00:12:40.987 align:middle line:84%
or the fairness of
any profit margin.

00:12:40.987 --> 00:12:43.930 align:middle line:84%
Companies want to play
countries off against each other

00:12:43.930 --> 00:12:46.710 align:middle line:84%
and so aren't very
incentivised to want to make

00:12:46.710 --> 00:12:49.050 align:middle line:90%
these contracts transparent.

00:12:49.050 --> 00:12:51.810 align:middle line:84%
And democratic governments
often don't want their public

00:12:51.810 --> 00:12:53.850 align:middle line:84%
to know that they've
gotten a bad deal,

00:12:53.850 --> 00:12:55.410 align:middle line:84%
or they don't want
rival countries

00:12:55.410 --> 00:12:57.160 align:middle line:84%
to know that they've
gotten a good deal.

00:12:57.160 --> 00:12:59.220 align:middle line:84%
And so there's not
very much incentive

00:12:59.220 --> 00:13:00.660 align:middle line:90%
for making these public.

00:13:00.660 --> 00:13:02.760 align:middle line:84%
Before the pandemic
US pharma companies

00:13:02.760 --> 00:13:05.850 align:middle line:84%
were under pressure over
high prices for drugs.

00:13:05.850 --> 00:13:09.840 align:middle line:84%
The industry looked
ripe for reform.

00:13:09.840 --> 00:13:12.120 align:middle line:84%
So then we come
into the pandemic

00:13:12.120 --> 00:13:16.410 align:middle line:84%
and you have a situation where
some companies say, look,

00:13:16.410 --> 00:13:19.530 align:middle line:84%
this shows how important it
is to invest in innovation.

00:13:19.530 --> 00:13:23.132 align:middle line:84%
So you should pay us a
good amount of money.

00:13:23.132 --> 00:13:24.840 align:middle line:84%
But then on the other
hand some companies

00:13:24.840 --> 00:13:27.000 align:middle line:84%
said, ah, this is
our opportunity

00:13:27.000 --> 00:13:30.360 align:middle line:84%
to make a contribution by saying
we'll offer these vaccines

00:13:30.360 --> 00:13:32.165 align:middle line:90%
on a non-for-profit basis.

00:13:32.165 --> 00:13:34.740 align:middle line:84%
I think it's reasonable
to allow companies

00:13:34.740 --> 00:13:37.320 align:middle line:84%
to make a profit from the high
income countries having put

00:13:37.320 --> 00:13:40.860 align:middle line:84%
such a huge effort
into this work,

00:13:40.860 --> 00:13:43.200 align:middle line:84%
and also make sure
that it will be

00:13:43.200 --> 00:13:46.680 align:middle line:84%
available for low and middle
income countries in perpetuity

00:13:46.680 --> 00:13:48.195 align:middle line:90%
without profit.

00:13:48.195 --> 00:13:52.590 align:middle line:84%
Moderna said it expects to
make $18.4bn from its Covid-19

00:13:52.590 --> 00:13:54.480 align:middle line:90%
vaccine sales this year.

00:13:54.480 --> 00:13:56.100 align:middle line:84%
It has not revealed
the profit margin

00:13:56.100 --> 00:13:57.930 align:middle line:90%
for its Covid-19 vaccine.

00:13:57.930 --> 00:14:01.710 align:middle line:84%
Pfizer said it expects to
make about $15bn with a profit

00:14:01.710 --> 00:14:03.810 align:middle line:90%
margin of more than 20 per cent.

00:14:03.810 --> 00:14:07.500 align:middle line:84%
The profits will be split
50/50 with BioNTech.

00:14:07.500 --> 00:14:09.180 align:middle line:84%
These forecasts
have partly shaped

00:14:09.180 --> 00:14:12.150 align:middle line:84%
the company's varied share price
performances in the past year.

00:14:15.750 --> 00:14:18.720 align:middle line:84%
In previous pandemics,
including Sars, the outbreak

00:14:18.720 --> 00:14:21.750 align:middle line:84%
ended before companies
could develop a vaccine.

00:14:21.750 --> 00:14:25.110 align:middle line:84%
Those who invested in the
endeavour made a loss.

00:14:25.110 --> 00:14:29.070 align:middle line:84%
But Covid-19 is widely
expected to become endemic.

00:14:29.070 --> 00:14:31.860 align:middle line:84%
Analysts predict the annual
vaccine market for the virus

00:14:31.860 --> 00:14:34.800 align:middle line:84%
could reach $10bn
a year, or more

00:14:34.800 --> 00:14:37.755 align:middle line:84%
as producers tailor
vaccines for new strains.

00:14:37.755 --> 00:14:39.540 align:middle line:84%
If the vaccines
aren't very successful

00:14:39.540 --> 00:14:42.600 align:middle line:84%
but they do provide a very
meaningful contribution

00:14:42.600 --> 00:14:44.220 align:middle line:84%
to the fight against
Covid, then we're

00:14:44.220 --> 00:14:46.053 align:middle line:84%
likely to move to
something like a flu model

00:14:46.053 --> 00:14:48.270 align:middle line:84%
where we sell more
vaccines for the flu

00:14:48.270 --> 00:14:51.450 align:middle line:84%
than we do for every
other vaccinated illness

00:14:51.450 --> 00:14:52.290 align:middle line:90%
in the world.

00:14:52.290 --> 00:14:54.720 align:middle line:84%
Then the question
will be, are there so

00:14:54.720 --> 00:14:57.420 align:middle line:84%
many competitors in the
market that the price falls?

00:14:57.420 --> 00:14:59.880 align:middle line:84%
Or the price may
go up because it

00:14:59.880 --> 00:15:03.120 align:middle line:84%
will be more of a natural
normal market where people will

00:15:03.120 --> 00:15:06.360 align:middle line:84%
perhaps choose a particular
vaccine because it has a higher

00:15:06.360 --> 00:15:08.820 align:middle line:84%
efficacy rate
rather than a market

00:15:08.820 --> 00:15:12.825 align:middle line:84%
where it's controlled by these
gigantic government contracts.

00:15:12.825 --> 00:15:14.470 align:middle line:84%
One big question is
whether governments

00:15:14.470 --> 00:15:17.520 align:middle line:84%
should have demanded more in
these deals for subsidising

00:15:17.520 --> 00:15:19.710 align:middle line:84%
development and
guaranteeing sales.

00:15:19.710 --> 00:15:22.200 align:middle line:84%
It does feed into a larger
debate that was already

00:15:22.200 --> 00:15:25.500 align:middle line:84%
happening about what happens
when governments fund science,

00:15:25.500 --> 00:15:27.390 align:middle line:84%
especially really
basic research.

00:15:27.390 --> 00:15:29.490 align:middle line:84%
It goes on into
the private sector,

00:15:29.490 --> 00:15:31.590 align:middle line:84%
and it makes the private
sector a lot of money,

00:15:31.590 --> 00:15:35.205 align:middle line:84%
but not much of that flows
back to the government.

00:15:35.205 --> 00:15:37.570 align:middle line:84%
For governments of low and
middle income countries

00:15:37.570 --> 00:15:39.330 align:middle line:84%
the return on
investment calculation

00:15:39.330 --> 00:15:41.430 align:middle line:90%
is entirely different.

00:15:41.430 --> 00:15:45.120 align:middle line:84%
They are battling just to secure
supplies of Covid-19 vaccines

00:15:45.120 --> 00:15:48.060 align:middle line:84%
amid a flurry of bilateral
deals between rich countries

00:15:48.060 --> 00:15:51.300 align:middle line:84%
and vaccine producers, and
global disputes about controls

00:15:51.300 --> 00:15:53.670 align:middle line:90%
over vaccine supply chains.

00:15:53.670 --> 00:15:55.290 align:middle line:84%
Of all the products
in the world you

00:15:55.290 --> 00:15:58.590 align:middle line:84%
don't want to use
market-based prioritisation,

00:15:58.590 --> 00:16:02.940 align:middle line:84%
it's got to be vaccines
because if you went that way

00:16:02.940 --> 00:16:04.970 align:middle line:84%
the rich people in
the rich countries

00:16:04.970 --> 00:16:08.330 align:middle line:84%
would buy all the output
for quite a while,

00:16:08.330 --> 00:16:10.790 align:middle line:84%
and it wouldn't be
assigned according to who's

00:16:10.790 --> 00:16:13.460 align:middle line:84%
at risk of dying,
for example, getting

00:16:13.460 --> 00:16:16.647 align:middle line:84%
to the elderly and the
healthcare workers.

00:16:16.647 --> 00:16:18.500 align:middle line:84%
Gavi, the World
Health Organization,

00:16:18.500 --> 00:16:21.710 align:middle line:84%
and CEPI set up the COVAX
programme to mitigate this

00:16:21.710 --> 00:16:24.410 align:middle line:84%
and provide equitable
distribution for Covid-19

00:16:24.410 --> 00:16:26.060 align:middle line:90%
vaccines.

00:16:26.060 --> 00:16:29.090 align:middle line:84%
The COVAX advanced market
commitment, or AMC,

00:16:29.090 --> 00:16:34.430 align:middle line:84%
has raised $6.3bn and aims to
distribute 2bn doses this year,

00:16:34.430 --> 00:16:37.850 align:middle line:84%
with two-thirds of those
subsidised for 92 lower income

00:16:37.850 --> 00:16:39.395 align:middle line:90%
countries.

00:16:39.395 --> 00:16:42.020 align:middle line:84%
We also hoped that by
having global supply

00:16:42.020 --> 00:16:44.540 align:middle line:84%
it would reduce the
number of bilaterals.

00:16:44.540 --> 00:16:47.390 align:middle line:84%
And it looked like that might
have helped for a while.

00:16:47.390 --> 00:16:52.700 align:middle line:84%
But there really has been a
global panic seeing doses being

00:16:52.700 --> 00:16:54.500 align:middle line:84%
rolled out, people
hoarding doses,

00:16:54.500 --> 00:16:57.370 align:middle line:84%
and also the new variants
have made people nervous.

00:16:57.370 --> 00:16:59.120 align:middle line:84%
There are some governments
that have said,

00:16:59.120 --> 00:17:01.430 align:middle line:84%
yes, we politically
support COVAX,

00:17:01.430 --> 00:17:04.190 align:middle line:84%
we will put money into COVAX, we
will subsidise other countries

00:17:04.190 --> 00:17:05.263 align:middle line:90%
through COVAX.

00:17:05.263 --> 00:17:06.680 align:middle line:84%
They are the very
same governments

00:17:06.680 --> 00:17:11.060 align:middle line:84%
that have turned around and said
we are going to basically eat

00:17:11.060 --> 00:17:13.250 align:middle line:84%
up most of the world's
existing volume

00:17:13.250 --> 00:17:15.169 align:middle line:84%
through advanced
purchase commitment.

00:17:15.169 --> 00:17:16.970 align:middle line:84%
Any head of state is
going to think about,

00:17:16.970 --> 00:17:18.260 align:middle line:90%
I have to protect my people.

00:17:18.260 --> 00:17:20.150 align:middle line:90%
That's the natural instinct.

00:17:20.150 --> 00:17:23.130 align:middle line:84%
And that may be true
in a normal situation.

00:17:23.130 --> 00:17:25.400 align:middle line:84%
But in a global
pandemic you're only

00:17:25.400 --> 00:17:29.000 align:middle line:90%
as safe as everyone is safe.

00:17:29.000 --> 00:17:32.360 align:middle line:84%
Covid-19 has turbocharged
normal market forces,

00:17:32.360 --> 00:17:35.600 align:middle line:84%
from funding to the speed at
which vaccines were developed,

00:17:35.600 --> 00:17:38.900 align:middle line:84%
and the subsequent international
scramble to buy them.

00:17:38.900 --> 00:17:41.270 align:middle line:84%
But are there more
fundamental ways the virus

00:17:41.270 --> 00:17:42.620 align:middle line:90%
will change the vaccine market?

00:17:46.715 --> 00:17:49.430 align:middle line:84%
I think the Covid-19
pandemic will completely

00:17:49.430 --> 00:17:51.780 align:middle line:90%
shake up the vaccine market.

00:17:51.780 --> 00:17:55.190 align:middle line:84%
And that's because of these new
technologies like messenger RNA

00:17:55.190 --> 00:17:56.480 align:middle line:90%
and viral vectors.

00:17:56.480 --> 00:17:58.610 align:middle line:84%
By accelerating
them so fast they've

00:17:58.610 --> 00:18:02.240 align:middle line:84%
completely shaken up who's
on top, who has the potential

00:18:02.240 --> 00:18:03.950 align:middle line:90%
to create the next vaccine.

00:18:03.950 --> 00:18:07.290 align:middle line:84%
The fastest vaccine ever
had been four years.

00:18:07.290 --> 00:18:09.710 align:middle line:84%
The Ebola vaccine was
around five years.

00:18:09.710 --> 00:18:15.665 align:middle line:84%
And the fact that this happened
in 303 days is extraordinary.

00:18:15.665 --> 00:18:17.630 align:middle line:84%
The pandemic was an
opportunity to prove

00:18:17.630 --> 00:18:21.410 align:middle line:84%
that mRNA, or messenger
ribonucleic acid technology,

00:18:21.410 --> 00:18:23.480 align:middle line:90%
could work.

00:18:23.480 --> 00:18:25.810 align:middle line:84%
The synthetic mRNA
delivers instructions

00:18:25.810 --> 00:18:28.870 align:middle line:84%
to cells in the body to produce
the viral protein, which

00:18:28.870 --> 00:18:31.300 align:middle line:90%
stimulates an immune response.

00:18:31.300 --> 00:18:35.440 align:middle line:84%
The success of Pfizer, BioNTech,
and Moderna's mRNA vaccines

00:18:35.440 --> 00:18:37.180 align:middle line:84%
mean the technology
could be applied

00:18:37.180 --> 00:18:40.045 align:middle line:84%
to a wide range of other
vaccines and drugs.

00:18:40.045 --> 00:18:43.780 align:middle line:84%
The mRNA platform, we're going
to push that to the limit.

00:18:43.780 --> 00:18:46.390 align:middle line:84%
And we should get a
lot more vaccines.

00:18:46.390 --> 00:18:50.560 align:middle line:84%
And a malaria vaccine, or an
HIV vaccine, or a TB vaccine

00:18:50.560 --> 00:18:51.940 align:middle line:90%
are miraculous things.

00:18:51.940 --> 00:18:55.690 align:middle line:84%
That's measured in saving
millions of lives, not

00:18:55.690 --> 00:18:57.010 align:middle line:90%
some economic thing.

00:18:57.010 --> 00:19:00.175 align:middle line:90%
That is about life itself.

00:19:00.175 --> 00:19:02.140 align:middle line:84%
The speed at which
mRNA vaccines can

00:19:02.140 --> 00:19:05.470 align:middle line:84%
be tweaked to respond to new
variants and then mass produced

00:19:05.470 --> 00:19:07.820 align:middle line:84%
could also make vaccines
more profitable.

00:19:07.820 --> 00:19:10.990 align:middle line:84%
We're going to end up having
technologies like mRNA

00:19:10.990 --> 00:19:14.080 align:middle line:84%
enabling a new vaccine that
is going to be best in class

00:19:14.080 --> 00:19:17.440 align:middle line:84%
and first in class, that are
going to be able to maintain

00:19:17.440 --> 00:19:18.977 align:middle line:90%
a high profitability.

00:19:18.977 --> 00:19:20.810 align:middle line:84%
I think platform
technologies for the future

00:19:20.810 --> 00:19:23.480 align:middle line:84%
of vaccine development, and
messenger RNA is one of them.

00:19:23.480 --> 00:19:26.380 align:middle line:84%
We haven't really seen
messenger RNA vaccines widely

00:19:26.380 --> 00:19:28.420 align:middle line:90%
used at all before 2020.

00:19:28.420 --> 00:19:29.920 align:middle line:84%
And in the last
year they've gone

00:19:29.920 --> 00:19:33.460 align:middle line:84%
from being something of
a niche research area

00:19:33.460 --> 00:19:35.200 align:middle line:90%
into having massive impact.

00:19:35.200 --> 00:19:38.320 align:middle line:84%
I believe we will end up with
Moderna having the vaccine that

00:19:38.320 --> 00:19:42.100 align:middle line:84%
will have a combination of
a seasonal boost for flu

00:19:42.100 --> 00:19:44.860 align:middle line:84%
and the new variant
for SARS-CoV-2

00:19:44.860 --> 00:19:46.600 align:middle line:90%
And it's going to be one shot.

00:19:46.600 --> 00:19:49.640 align:middle line:84%
So how is that going to
compete with a vaccine that's

00:19:49.640 --> 00:19:51.190 align:middle line:90%
only the seasonal flu?

00:19:51.190 --> 00:19:54.820 align:middle line:84%
I believe those vaccines
will have no future.

00:19:54.820 --> 00:19:57.370 align:middle line:84%
There are also reasons to
be cautious about the future

00:19:57.370 --> 00:19:58.525 align:middle line:90%
of mRNA.

00:19:58.525 --> 00:20:01.360 align:middle line:84%
Just because mRNA and
the viral vector vaccines

00:20:01.360 --> 00:20:03.280 align:middle line:84%
have been pretty
successful for Covid

00:20:03.280 --> 00:20:05.980 align:middle line:84%
doesn't mean they're going to be
successful for everything else.

00:20:05.980 --> 00:20:07.480 align:middle line:84%
And so I think that
there will still

00:20:07.480 --> 00:20:10.270 align:middle line:84%
be a debate inside some of
these big vaccine players,

00:20:10.270 --> 00:20:13.120 align:middle line:84%
like GSK, Sanofi, and
Merck about to what extent

00:20:13.120 --> 00:20:16.450 align:middle line:84%
they should rush towards
this new shiny object,

00:20:16.450 --> 00:20:17.950 align:middle line:84%
and to what extent
they should rely

00:20:17.950 --> 00:20:21.745 align:middle line:84%
on their own reliable
proprietary platforms.

00:20:21.745 --> 00:20:24.010 align:middle line:84%
I do think for the
next pandemic we

00:20:24.010 --> 00:20:28.840 align:middle line:84%
will be able to solve the
problems of the mRNA platform.

00:20:28.840 --> 00:20:32.950 align:middle line:84%
That is we'll fix the
thermal stability,

00:20:32.950 --> 00:20:37.630 align:middle line:84%
we'll fix the scalability,
and we'll fix the cost.

00:20:37.630 --> 00:20:42.422 align:middle line:84%
We kind of caught mRNA
halfway to prime time.

00:20:42.422 --> 00:20:45.670 align:middle line:84%
Analysts predict that 2021
vaccine sales from Moderna

00:20:45.670 --> 00:20:48.850 align:middle line:84%
and Novavax will outpace those
from three of the biggest

00:20:48.850 --> 00:20:52.390 align:middle line:84%
vaccine producers who dominated
the market before Covid-19 -

00:20:52.390 --> 00:20:55.810 align:middle line:90%
Merck, GSK, and Sanofi.

00:20:55.810 --> 00:20:59.122 align:middle line:84%
All three have yet to bring
a Covid-19 vaccine to market.

00:20:59.122 --> 00:21:00.580 align:middle line:84%
With new players
in charge, they've

00:21:00.580 --> 00:21:02.170 align:middle line:90%
got a lot of capital, Investors.

00:21:02.170 --> 00:21:04.690 align:middle line:84%
Are really backing them, and
they can go into new markets,

00:21:04.690 --> 00:21:06.160 align:middle line:90%
most obviously, flu.

00:21:06.160 --> 00:21:08.650 align:middle line:84%
The big question, the
billion dollar question

00:21:08.650 --> 00:21:10.960 align:middle line:84%
is, how many of
those firms are going

00:21:10.960 --> 00:21:13.240 align:middle line:84%
to find a business
model that allows

00:21:13.240 --> 00:21:18.400 align:middle line:84%
them to scale up production
and global distribution?

00:21:18.400 --> 00:21:20.680 align:middle line:84%
Could the pandemic propel
the vaccine segment

00:21:20.680 --> 00:21:23.410 align:middle line:84%
into becoming a much bigger part
of the global pharmaceutical

00:21:23.410 --> 00:21:24.467 align:middle line:90%
market?

00:21:24.467 --> 00:21:28.030 align:middle line:84%
Vaccines probably saved more
lives than any other tool.

00:21:28.030 --> 00:21:30.280 align:middle line:84%
If we can take
vaccines and apply them

00:21:30.280 --> 00:21:34.240 align:middle line:84%
more in the area of cancer, then
that just changes the numbers

00:21:34.240 --> 00:21:38.240 align:middle line:84%
completely because
the cancer market is,

00:21:38.240 --> 00:21:43.840 align:middle line:84%
it's over 10 times the R&D,
over 10 times the spend,

00:21:43.840 --> 00:21:45.430 align:middle line:90%
potential for growth.

00:21:45.430 --> 00:21:48.250 align:middle line:84%
I do not think that we're
going to see the entire pharma

00:21:48.250 --> 00:21:50.530 align:middle line:84%
industry switch to
focusing on vaccines.

00:21:50.530 --> 00:21:53.260 align:middle line:84%
It's still a business where
you often sell to governments,

00:21:53.260 --> 00:21:55.870 align:middle line:84%
where they're often very
large contracts and not

00:21:55.870 --> 00:22:00.310 align:middle line:84%
that much competition,
and not that much growth.

00:22:00.310 --> 00:22:04.690 align:middle line:84%
With more than 113m cases of
coronavirus confirmed globally

00:22:04.690 --> 00:22:09.100 align:middle line:84%
and 2.5m known deaths, vaccines
are widely seen as the key

00:22:09.100 --> 00:22:11.460 align:middle line:90%
to ending the pandemic.

00:22:11.460 --> 00:22:13.140 align:middle line:84%
Public investment
in vaccines are

00:22:13.140 --> 00:22:17.330 align:middle line:84%
dwarfed by the economic costs
of this global health crisis.

00:22:17.330 --> 00:22:22.160 align:middle line:84%
An estimated $6tn in economic
output was lost to 2020,

00:22:22.160 --> 00:22:27.165 align:middle line:84%
and another $4.4tn
will be lost this year.

00:22:27.165 --> 00:22:28.790 align:middle line:84%
Public health experts
have been telling

00:22:28.790 --> 00:22:30.860 align:middle line:84%
governments and
politicians for years

00:22:30.860 --> 00:22:35.120 align:middle line:84%
that vaccine supply is a huge
global strategic priority,

00:22:35.120 --> 00:22:36.710 align:middle line:90%
and that you should protect it.

00:22:36.710 --> 00:22:38.360 align:middle line:84%
I think they've
finally woken up.

00:22:38.360 --> 00:22:40.190 align:middle line:84%
Traditionally, when
governments have

00:22:40.190 --> 00:22:41.850 align:middle line:84%
tried to invest in
that infrastructure

00:22:41.850 --> 00:22:43.340 align:middle line:90%
it's not worked out very well.

00:22:43.340 --> 00:22:45.990 align:middle line:84%
It's always been the private
players in the private sector

00:22:45.990 --> 00:22:48.290 align:middle line:84%
that's been able to
succeed, scale up

00:22:48.290 --> 00:22:50.180 align:middle line:84%
because of the
entrepreneurship and freedom

00:22:50.180 --> 00:22:52.160 align:middle line:84%
that a private sector
company would have.

00:22:52.160 --> 00:22:53.660 align:middle line:84%
SETH BERKLEY:
Obviously, if you want

00:22:53.660 --> 00:22:57.140 align:middle line:84%
to have manufacturing facilities
ready to go that are there

00:22:57.140 --> 00:22:58.640 align:middle line:84%
in case of an
outbreak, you're going

00:22:58.640 --> 00:23:00.440 align:middle line:84%
to need to make sure
that there's financing

00:23:00.440 --> 00:23:02.720 align:middle line:84%
for that because from
a for-profit company

00:23:02.720 --> 00:23:05.180 align:middle line:84%
the idea that you would
have facilities that

00:23:05.180 --> 00:23:08.030 align:middle line:84%
are available that are
not being optimally used

00:23:08.030 --> 00:23:09.950 align:middle line:84%
might not make business
sense, but they

00:23:09.950 --> 00:23:11.180 align:middle line:90%
may make public health sense.

00:23:11.180 --> 00:23:14.810 align:middle line:84%
So I see this as a
partnership between government

00:23:14.810 --> 00:23:16.895 align:middle line:90%
and the private sector.

00:23:16.895 --> 00:23:22.340 align:middle line:84%
I'm very enthused that vaccines,
all the standby capacity

00:23:22.340 --> 00:23:25.430 align:middle line:84%
that we will have on
for the next pandemic,

00:23:25.430 --> 00:23:30.080 align:middle line:84%
we may be able to use that when
there's not a pandemic going on

00:23:30.080 --> 00:23:32.480 align:middle line:84%
to create lots of
low cost supply

00:23:32.480 --> 00:23:35.830 align:middle line:90%
capacity for the entire world.

00:23:35.830 --> 00:23:38.450 align:middle line:84%
Imagine that you'd have
a vaccine you know back

00:23:38.450 --> 00:23:42.932 align:middle line:84%
in the summer, you would
have saved millions of lives.

00:23:42.932 --> 00:23:45.850 align:middle line:84%
Covid-19 has already
changed the vaccine market,

00:23:45.850 --> 00:23:48.900 align:middle line:90%
potentially irreversibly.