A COVID19 exit strategy to end lockdown and reopen the economy Uri Alon

Chris Anderson: So our first speaker
gave a TED Talk at TEDGlobal

I think seven years ago.

His name is Professor Uri Alon,

at the Weizmann Institute of Science.

Now, he and his colleagues there
have come up with a powerful idea

that addresses this key question:

How on earth do we get back to work

without creating a second surge
of the infection?

Uri Alon, welcome to TED.

Uri Alon: Thank you.
Nice to be here again.

CA: It’s great to see you again.

So, I guess the key to your idea

is this obsession with
the reproduction number R, R-naught.

If that number is less than one,

then fewer than one person
is infected by a typical person,

and eventually, the epidemic fades away.

People are worried that
as we come back to work,

R will shoot up above one again.

You have a suggestion
for how we might avoid that.

What is that suggestion?

UA: Exactly.

So, we are suggesting a strategy

that’s based on a weak spot
based on the biology of the virus,

which is a cycle of work and lockdown.

It exploits the vulnerability of the virus
in that, when a person gets infected,

they’re not infectious
for about three days.

So you don’t infect others
for the first three days,

and after another two days,
on average, you get symptoms.

So we’re proposing a strategy
which is four days of work

and then 10 days of lockdown,

and the next two weeks, again:
four days of work, 10 days of lockdown.

And that way, if a person
gets infected at work,

they reach their peak infectiousness
during lockdown, and that way,

they avoid infecting many others.

This restricts the viral transmission.

Also, just working four days
out of two weeks

restricts the amount of time
the virus gets to see many other people,

and that’s a very powerful effect.

So everybody works on the same four days,

kids go to school on the same four days,

with all the measures
of social distancing and masks, etc,

and then there’s a lockdown period.

CA: So if you take
the worst-case scenario,

where you come to work on a Monday morning
at the start of your four days,

and you’re infected on the subway,
say, on the way to work,

the theory here is that even
by the end of that four days,

you’re not really starting
to infect your coworkers?

UA: That’s correct.

So you’re infected on the subway,

and so for the first three days or so,
you’re in your latent period,

you don’t infect your coworkers,

you reach your peak
infectiousness at home,

there will be secondary
infections at home,

and people with symptoms
can self-quarantine,

and over the long run, you have
a reproduction number less than one,

so the epidemic,
if you continue these cycles,

will go away.

CA: I mean, is it frustrating

at the thought that people
are going to say,

“Wait – I don’t want
to infect people at home,

I’d rather infect people
at work than at home.”

What’s the response to that?

UA: Yes, absolutely.

So we have to consider the alternatives.

If you open up the economy
and there’s a second wave,

you’ll get all those infections anyway
during the lockdown that happens,

along with the devastating effects
on the economy, etc.

And so, in the long run,

if you do a cyclic strategy like this

but with a reproduction
number that’s less than one,

you avoid, at least with these
mathematical models and considerations,

the much larger number of infections
you’d get if there’s a second wave.

CA: Right. You’re serving the needs
of your family by – sorry, go on.

UA: Even people who are infected
don’t infect everyone at home.

The attack rates are 10 to 30 percent,
according to several studies.

CA: Right.

But the hope is that you’re
serving the needs of your family

by engaging in a strategy
where very few of your fellow workers

are going to be infectious anyway,

so that’s the plan, but um –

UA: That’s right.

CA: Tell me this, though –
because four days out of 14,

someone’s going to say, “Well, great idea,

but that implies, like,
a 70 percent loss of productivity

in the economy,

so that can’t possibly work.”

I think you think that
the productivity loss

need not be anything like that much.

UA: That’s right,

and of course, most people
don’t work weekends,

so it’s four days out of
the 10 work days in the two weeks,

and once you have
a predictable schedule

of four days at work,

you can work longer hours,

you can design shifts
and get higher productivity

by prioritizing in those four days

much more than 40 percent of the workdays.

CA: Yes, so talk through
how that could work.

I mean, let’s imagine,
first of all, manufacturing,

which is currently shut down.

Is the implication here
that a manufacturer could set up

two, possibly even three,
shifts of four days,

maybe 35 hours or something of work
over those four days

and still get a lot of productivity,

basically, having the lines
almost running continuously that way?

UA: Exactly.

So this is a staggered
version of this idea,

where you take the population,
divide it into two groups or three groups.

Let’s say one group works four days
and then 10 days of lockdown.

Then the other group kicks in.

This idea was proposed by colleagues
at Bar-Ilan University.

Then you get an added benefit
that during workdays there’s less density.

If there’s two groups,

there’s half the density
and less transmission.

And you can keep production lines
working almost continuously like that

using this staggered idea.

CA: And applying it to thinking
about offices coming back –

I mean, it seems to me that,
as we’ve already seen,

there’s a lot of productivity
that can happen when you’re at home,

so you could picture on this idea
of people doing one set of things

during the four days when they’re,
say, back at the office,

doing the exposure to each other,
sparking off each other,

the discussions, the brainstorming,
all that good stuff,

while at home, they’re then
doing all the things

that we’ve been doing
the last few weeks,

kind of working solo.

How much have you thought about how that,

whether it’s possible, effectively,
to divide work into different types

and actually use a strategy like this

to maintain almost full
or even better productivity?

UA: I agree – for many sectors,
people work at home very effectively,

and we’ve heard from several industries

that productivity actually
went up during lockdown

and people working at home.

So if you have a schedule,
a [cyclic exit strategy]

you can restrict the amount,

or you can plan the work
where you need to be together

in a very effective way

with avoiding a lot of time lost,

if the person’s work
can be more effective at home

and more effective at work
and get high productivity.

I should say that some sectors
really need to adjust,

like hotels, tourism, dining.

In several industries, this will require
more thought and adjusting.

But other industries are almost
built for ideas like this.

Maybe it’s even something
you can consider after the epidemic,

because productivity can be
at least as high.

CA: I mean, I read this and I started
thinking about our own organization, TED,

and how, in many ways, you could argue
that could work really well.

I mean, for one thing,

there’s this question
about extroverts and introverts.

Some introverts, if they were honest,

might say that this pandemic
has been manna from heaven for them.

They’ve found work less stressful.

They’ve been able to focus and so forth.

With this sort of four days on,
four days off type strategy,

perhaps you can imagine a work world

that’s optimized for both
introverts and extroverts?

UA: Absolutely.

I mean, I feel it also.

Me and my partner,
with different personalities,

we both teach in universities,

and teaching through this

has [helped me] become
productive in certain ways.

So I agree completely,

and I think harnessing the creativity
of people at workplaces,

we’re only at the beginning
of what these kinds of mixtures can offer.

CA: But for people who are
on the front line,

again, if you’re delivering
goods and so forth

and you can’t do that virtually,

is there any thought about

how a four days on
and then isolation strategy,

how that off time could be used

to nonetheless contribute
to that person’s work

through some form of training?

Or is it more just that people would work
very intensely during four days,

and maybe people still aren’t quite
earning their full pay in this scenario,

but it’s better than complete lockdown,

and it’s better than going back to work
and seeing another surge?

UA: That’s right.

So on a society level,

it’s better than opening up
and seeing another surge,

which would require complete lockdown.

For people like hospital shifts,

some hospitals adopted
this kind of program

so we can protect shifts and avoid mixing.

It also creates a lot
of simplicity and clarity.

So you understand when you’re working,

and you have some confidence because
this is based on scientific modeling

about the effectiveness of this plan.

It’s also equitable in the sense
that everybody gets to go to work,

not only certain sectors,

it’s transparent, etc.

[Cross talk]

CA: And this is something
that is best implemented

by individual companies?

Or is it actually much better
implemented a city at a time

or even a nation at a time?

UA: We think it can work [in levels].

So at certain companies,
it’s very natural to adopt,

or at hospitals, schools, etc.

It can also work at the level
of a town or a region,

and then we would advise
trying it out for something like a month,

seeing whether cases rise.

In that case, you can dial down
the number of workdays.

Or, if cases are declining quickly,
you can add workdays

and therefore adapt to the climate
and the location where a person is.

So it’s quite adaptable.

CA: But by aligning work schedules
with schools, for example,

that suddenly allows parents
to go back to work

on the days that their kids are at school,
and you’d have to try –

UA: Absolutely.

CA: I mean, is the best
instantiation of this

that countries literally divide households

into different A and B categories,
or something like that,

so that that kind
of alignment could happen?

UA: Exactly.

So you can align different
households, Group A and Group B,

and then the children go to school,
the parents go to work

in a synchronized way,

and the other group,
let’s say, the alternating weeks.

A certain amount of people
need to work all the time.

Maybe teachers are, like, essential
workers and need to work throughout.

Just like during lockdown situations,

a certain fraction of the population
still works throughout.

But a region that does this
should be protected, in a sense,

because it has a replication
number of less than one,

so imported infections
also can’t spread very much.

CA: And here is the aforementioned
David Biello. David.

David Biello: Yes. Hello, everybody.

Uri, as you can imagine,
there are lot of questions

from the audience,

and we have a first one

kind of about those workers
who have been marked as essential.

Can you comment on how this would impact
the health care professionals and others

who may not have time
or the flexibility to quarantine

in the way you suggest.

UA: That’s great.

I want to say that
there’s essential workers,

there’s people with low income,
that just can’t adhere to lockdown

because they have to make a living.

And studies show that mobility
[among] people in the low-income sectors

is larger during lockdown.

And also, in developing countries,
people just have to go out of the house.

You can’t enforce lockdown.

So this four-10 kind of strategy can
actually make lockdown easier to bear

for people who can still
make a living during those days,

or at least make their own choices

about what fraction to work
and what fraction to stay in lockdown.

Some countries can’t get
R less than one even with lockdown,

because of this adherence problem,
because of informal sectors, etc.

We believe that a four-10 cycle
might make it easier to do lockdown

and maybe get our infection
level less than one.

That affects billions
of people in the world.

I hope I answered your question.

DB: I think so,

and we have another question, I believe,

if that can be queued up,

which is:

Any chance you can do the math

and quantify the increased risk
of this four-10 cycle?

UA: So the increased risk,
we’re saying in our scientific paper,

we did all the sensitivity analyses, etc,

and the question is, it’s comparing
increased risk comparing to what?

So, to the economy …

It’s possible there will be a second wave.

I mean, I hope there won’t be,
but it certainly is possible,

and in that case, it’s clear
that a second wave and another lockdown

will have worse consequences on health

than a cycle of four-10.

And so it’s really a question of
what you’re comparing to.

DB: Sure.

Well, thank you so much
for sharing this idea, Uri.

CA: Indeed.

David, stay on.

But just before you go:

Have any governments
expressed interest in exploring this?

Do you see people considering
actually implementing this

as national policy?

UA: Yes, we’re in touch
with several European countries

and countries in South America
and Israel, of course.

Austria has adopted a similar program
for their school system,

which is five school days every two weeks.

And several companies and hospitals, etc.

And so we’re very interested
to see how this will play out.

CA: Well, I love the basic start point

of starting by looking
at the enemy’s weakness.

And you’ve got this four-day period

where it’s not necessarily
that dangerous after an infection,

if you could figure out
a way to work then.

I assume that testing would actually
enhance this idea as well a lot, right?

To test people before they come back –

UA: It’s not predicated on testing.

You don’t have to have
testing for this idea,

so that can apply to regions
without a lot of testing.

If you do have testing, it could help you
use testing in a more effective way

by concentrating testing on people
at the end of their 10 lockdown days,

just as they’re about to go to work;

that could make
each test more impactful

in terms of reducing
their reproduction number.

CA: Indeed, instead of having
to test the whole population

every three or four days,

it’s just once every two weeks.

That’s a much more imaginable goal.

UA: Sure.

CA: Yeah.

Well, Uri Alon, thank you so much
for spending this time.

克里斯安德森:所以我们的第一位演讲者
在 TEDGlobal 上做了一个 TED 演讲,

我想是七年前。

他的名字是

魏茨曼科学研究所的 Uri Alon 教授。

现在,他和他的同事
提出了一个强有力的想法

来解决这个关键问题:

我们到底如何才能在

不造成第二次感染激增的情况下重返工作岗位

Uri Alon,欢迎来到 TED。

乌里·阿隆:谢谢。
很高兴再次来到这里。

CA:很高兴再次见到你。

所以,我想你想法的关键


对再生数 R 的痴迷,R-naught。

如果这个数字少于一个,

那么
一个典型的人感染的人就少于一个

,最终,这种流行病就会消失。

人们担心
当我们重新开始工作时,

R 会再次飙升至 1 以上。


对我们如何避免这种情况提出了建议。

那是什么建议?

UA:没错。

因此,我们建议一种

基于病毒生物学的弱点的策略,

这是一个工作和锁定的循环。

它利用了病毒的脆弱
性,当一个人被感染时,

他们在
大约三天内没有传染性。

因此,前三天您不会感染其他人

然后再过两天
,平均而言,您会出现症状。

因此,我们提出了一项策略
,即工作四天

,然后封锁 10 天

,接下来的两周再次:
四天工作,封锁 10 天。

这样一来,如果一个人
在工作中被感染,

他们会
在封锁期间达到最高传染性,这样

就可以避免感染许多其他人。

这限制了病毒传播。

此外,两周内只工作四天会

限制
病毒接触许多其他人的时间

,这是一个非常强大的影响。

所以每个人都在同样的四天工作,

孩子们在同样的四天上学,

采取所有
社交距离和口罩等措施,

然后是封锁期。

CA:因此,如果您
采用最坏的情况,


您在四天开始的星期一早上来上班,

并且您在地铁上被感染,
比如说,在上班的路上,

这里的理论是 即使
在这四天结束时,

您还没有真正
开始感染您的同事?

UA:没错。

所以你在地铁上被感染了

,所以前三天左右,
你处于潜伏期,

你没有感染你的同事,

你在家里达到了传染性的高峰
,家里

会有二次
感染 ,

并且有症状的人
可以自我隔离

,从长远来看,你
的繁殖数小于1

,所以
如果你继续这些循环,流行病

就会消失。

CA:我的意思是,

想到
人们会说

“等等——我
不想感染家里的人,

我宁愿感染
工作场所的人而不是家里的人”,这是否令人沮丧。

对此有何回应?

UA:是的,绝对的。

所以我们必须考虑替代方案。

如果你开放经济
并且出现第二波,

那么无论如何你都会在封锁期间感染所有这些感染

以及对经济的破坏性影响

等等。因此,从长远来看,

如果你进行循环 像这样的策略,

但如果再生
数小于 1

,至少通过这些
数学模型和考虑因素,您可以避免

如果有第二波感染,您将获得更多的感染。

CA:对。 你正在
为你家人的需要服务——对不起,继续。

UA:即使是被
感染的人也不会感染家里的每个人。

根据几项研究,攻击率在 10% 到 30% 之间

CA:对。

但希望是你

通过参与一个策略来满足你家人的需求,无论如何
你的同事

都会很少有传染性,

所以这是计划,但是嗯

–UA:没错。

CA:不过,请告诉我——
因为 14 天中有 4 天,

有人会说,“嗯,好主意,

但这意味着,经济中
的生产力损失了 70%

所以这不可能 。”

我认为您
认为生产力损失

不必那么大。

UA:是的

,当然,大多数人
不周末工作,

所以
两周的 10 个工作日中

有 4 天,一旦你有
一个可预测

的四天工作时间,

你可以工作更长的时间 ,

您可以

通过在这四天中优先考虑

超过 40% 的工作日来设计轮班并获得更高的生产力。

CA:是的,所以讨论
一下它是如何工作的。

我的意思是,让我们首先想象一下

目前处于关闭状态的制造业。

这是否
意味着制造商可以设置

两个,甚至三个,
四天轮班,

可能是 35 小时或
其他四天的工作,

并且仍然可以获得很高的生产力,

基本上,生产线
几乎可以连续运行 ?

UA:没错。

所以这
是这个想法的交错版本

,你把人口
分成两组或三组。

假设一组工作四天
,然后锁定 10 天。

然后另一个小组开始了。

这个想法是由
巴伊兰大学的同事提出的。

然后,您将获得额外的好处
,即在工作日期间密度较小。

如果有两组,

则密度减半
,传输量减少。

使用这种交错的想法,您可以保持生产线
几乎连续工作

CA:把它应用到考虑复工的想法
——

我的意思是,在我看来,
正如我们已经看到的那样,

当你在家时可以产生很多生产力,

所以你可以想象一下 假设

人们在回家的四天里做一套事情,
比如,回到办公室,

互相接触,
互相激发

灵感,讨论,头脑风暴,
所有这些好东西,

而在家 ,然后他们在

我们过去几周一直在做
的所有事情,

有点像单独工作。

您有多少想过

如何有效
地将工作划分为不同类型

并实际使用这样的策略

来保持几乎完全
甚至更好的生产力?

UA:我同意——对于许多行业来说,
人们在家工作的效率很高,

而且我们从几个行业听说,

在封锁期间生产力实际上提高了

,人们在家工作。

所以如果你有一个时间表,
一个[循环退出策略],

你可以限制数量,

或者你可以

以一种非常有效的方式计划你需要

在一起的工作,避免大量时间浪费,

如果这个人的工作
可以 在

家里更有效,在工作中更有效,
并获得高生产力。

我应该说有些行业
确实需要调整,

比如酒店、旅游、餐饮。

在一些行业中,这将需要
更多的思考和调整。

但其他行业几乎
都是为这样的想法而建立的。

也许这甚至是
你可以在疫情之后考虑的事情,

因为生产力
至少可以同样高。

CA:我的意思是,我读了这篇文章,我开始
思考我们自己的组织 TED

,以及在很多方面你可以
说它如何运作得很好。

我的意思是,一方面,有一个

关于外向和内向的问题。

一些内向的人,如果他们诚实的话,

可能会说这种流行病
对他们来说是天赐的甘露。

他们发现工作压力较小。

他们已经能够集中注意力等等。

有了这种
四天休息四天的策略,

也许你可以想象一个


内向者和外向者优化的工作世界?

UA:当然。

我的意思是,我也感觉到了。

我和我的伴侣
,性格不同,

我们都在大学任教,

通过这种方式教学

[帮助我]
在某些方面变得富有成效。

所以我完全同意

,我认为
在工作场所利用人们的创造力,

我们才刚刚开始
使用这些混合物所能提供的东西。

CA:但是对于那些
在前线的人,

再次,如果你正在运送
货物等等,

而你不能虚拟地做到这一点

,有没有想过

如何
四天隔离策略,

如何关闭 通过某种形式的培训,时间可以用来

为那个人的工作做出贡献

吗?

还是只是人们会
在四天内非常紧张地工作,在这种情况下

,人们可能还没有完全
拿到全额工资,

但这比完全封锁

要好,也比回去
工作看到又一次激增要好 ?

UA:没错。

因此,在社会层面上,

这比开放
并看到另一个

需要完全封锁的激增要好。

对于像医院轮班这样的人,

一些医院采用了
这种方案,

这样我们就可以保护轮班,避免混班。

它还创造了
很多简单性和清晰性。

因此,您了解自己何时工作,

并且有一定的信心,因为
这是基于

有关该计划有效性的科学模型。

这也是公平的
,每个人都可以上班,

不仅是某些部门,

它是透明的,等等。

[相声]

CA:
这最好

由个别公司实施?

还是
一次实施一个城市

甚至一次实施一个国家实际上要好得多?

UA:我们认为它可以[在级别上]工作。

所以在某些公司,
采用是很自然的,

或者在医院,学校等。

它也可以在
一个城镇或一个地区的层面上起作用,

然后
我们建议尝试一个月左右,

看看有没有病例 上升。

在这种情况下,您可以
减少工作日数。

或者,如果病例迅速减少,
您可以增加工作日

,从而适应气候
和人员所在的位置。

所以它的适应性很强。

CA:但是,例如,通过将工作时间表
与学校保持一致,

这突然允许

父母在孩子上学的那一天重返工作岗位
,你必须尝试——

UA:当然。

CA:我的意思是,
最好的例子

是国家将家庭

分为不同的 A 类和 B 类,
或者类似的东西,

这样
就可以实现这种一致性?

UA:没错。

所以你可以调整不同的
家庭,A组和B组,

然后孩子上学
,父母

同步上班

,另一组,
比如说,交替的几周。

一定数量的人
需要一直工作。

也许老师就像是必不可少的
工人,需要自始至终工作。

就像在锁定情况下一样,

一定比例的人口
仍然在整个过程中工作。

但是这样做的地区
应该受到保护,从某种意义上说,

因为它的复制
数小于1,

所以输入性感染
也不会传播太多。

CA:这是前面提到的
大卫·比耶罗。 大卫。

大卫·比洛:是的。 大家好。

Uri,你可以想象,观众
有很多问题

,我们有第

一个关于
那些被标记为必不可少的工人的问题。

您能否评论一下这将如何
影响医疗保健专业人员和

其他可能没有时间

按照您建议的方式进行隔离的灵活性。

UA:那太好了。

我想说的是,
有必要的工人,

有低收入的人
,他们不能坚持封锁,

因为他们必须谋生。

研究表明,

在封锁期间,低收入部门人群的流动性更大。

而且,在发展中国家,
人们只需要走出家门。

您无法强制执行锁定。

因此,这种 4-10 种策略
实际上

可以
让那些在那些日子里仍然可以谋生的人更容易忍受封锁,

或者至少让他们自己

选择要工作
的部分和留在封锁中的部分。

由于这种依从性问题、
非正规部门等原因,一些国家即使在

封锁的情况下也无法获得

低于 1 的 R 一。

这影响
着世界上数十亿人。

我希望我回答了你的问题。

DB:我想是的

,我相信我们还有另一个问题,

如果可以排队,

那就是:

你有没有机会进行数学计算

并量化
这个 4-10 周期增加的风险?

UA:所以增加的风险,
我们在我们的科学论文中说,

我们做了所有的敏感性分析,等等

,问题是,它是在比较
增加的风险与什么比较?

所以,对经济来说

……可能会有第二波。

我的意思是,我希望不会有,
但肯定是有可能的

,在这种情况下,很明显
,第二波和另一次封锁

对健康的影响

将比四到十的周期更糟糕。

所以这真的是一个
你要比较的问题。

DB:当然。

嗯,非常感谢你
分享这个想法,Uri。

CA:确实。

大卫,继续。

但就在你走之前:

是否有任何政府
表示有兴趣探索这一点?

您是否看到人们考虑将

作为国家政策实际实施?

UA:是的,我们当然
与几个欧洲国家

和南美洲国家
以及以色列保持联系。

奥地利为其学校系统采用了类似的计划

即每两周有五个上学日。

还有几家公司和医院

等。所以我们
很想知道这将如何发展。

CA:嗯,我喜欢


观察敌人的弱点开始的基本起点。

而且你有这四天的时间

如果你能找到
一种工作方法,那么感染后不一定那么危险。

我认为测试实际上也会大大
增强这个想法,对吧?

在人们回来之前对其进行测试——

UA:这不是以测试为前提的。

您不必
对这个想法进行测试,

因此可以在
没有大量测试的情况下应用于区域。

如果您确实进行了测试,它可以帮助您
以更有效的方式使用测试,方法

是在人们即将上班
的 10 天锁定期结束时集中对其进行测试

这可以使
每个测试

在减少
其复制数量方面更具影响力。

CA:确实,不必每三四天
对整个人群进行

一次检测,

而是每两周检测一次。

这是一个更可想象的目标。

UA:当然。

CA:是的。

好吧,Uri Alon,非常感谢你
抽出这段时间。