Will it be safe Vaccine safety science from Cowpox to COVID19

[Music]

the cow pock

or the wonderful effects of the new

inoculation

this is a cartoon by 18th century

satirical artist

james gilray and it depicts the rumors

being spread

by by people who are opposed to the

practice of this inoculation

and here you can see these bovine-like

appendages springing out of people

which was um which was the idea that

they’d been given this preparation of

cow pox which was a much milder disease

than the dreaded smallpox and since the

first attempts to vaccinate

against smallpox the 18th century people

have held

concerns about the safety of vaccines

what injecting people

with cow pox caused strange things to

happen

and today we face similar challenges

where ideas almost as wild as this

cartoon are actually exploding

did bill gates invent the coronavirus

pandemic so he could put microchips

into the vaccines and then could these

be activated by 5g

the covert pandemic is not only a

pandemic of a virus but it is also

a fantastic myth epidemic with

extraordinary

ideas spreading faster and further than

the truth

and while no other public health

intervention have saved more lives than

clean water antibiotics and vaccines

vaccines have always come with some

level of social disruption

so this talk is about how the explosion

and distortion of truth

and particularly around vaccine safety

is challenging

us in our efforts to control diseases

and can

throt potentially our efforts to deploy

our emerging covet 19 vaccines

now no vaccine is 100 safe or 100

effective but some come pretty close

the safety of inoculation and

vaccination are relative

on the left is a drawing that shows a

typical reaction to the ancient practice

of smallpox varialation

nasty fatal in about one percent

and but very much preferable to actually

acquiring the

disease naturally and on the right is a

drawing of a typical reaction to

vaccination against smallpox

still pretty big by the end of the 20th

century smallpox vaccination carried a

death rate of around one percent

um or about one million people died who

received the vaccine but serious events

were actually quite common

and it may seem strange that people

would take a procedure

that carried such a high risk of death

or a nasty reaction

but when faced with the the disease that

killed around 30 percent of its victims

it was a perfectly rational decision

when the threat of smallpox became a

distant memory

the risk was the risks associated with

vaccination became a greater focus for

people

and so began the vaccine confidence life

cycle

this is a diagram that many of us in the

business call the famous chen diagram

it’s based on a drawing published in

1994 by american doctor

dr bob and what it shows is that before

a vaccine is available when a disease is

present and really scary

there’s a high acceptance of the vaccine

when it arrives it’s embraced

and the disease starts to go away as the

disease becomes less visible

people shift their focus to the

potential safety of the vaccine

maybe about focusing on real or even

just perceived

safety effects and the disease

inevitably resurges

reminded that the disease is actually

really terrible confidence in the

program resumes

and the disease becomes controlled but

let’s think about these possible side

effects

what is real and what is rumor and how

can we tell

vaccine safety is assessed throughout

the life of the product and sometimes

beyond

it begins in the lab after review and

approval by the appropriate regulatory

authorities tasked with protecting our

health

the vaccine can progress to perhaps 30

or so

human volunteers in what we call a phase

one trial

this is to test the dosing and the

safety and to examine the immune

response

all going well from here a larger study

called a phase two

might progress and here there’ll be a

few hundred volunteers

the safety will be monitored closely and

those early volunteers can be followed

up for perhaps a year or more

and if all has gone well then phase

three

studies might progress and these can

include tens of thousands of people

and some will get the vaccine and others

will get a placebo

or a dummy injection which has no

benefit and by the end of these trials

we can compare the outcomes between the

vaccinated

and those who did not receive a vaccine

and providing the vaccine has been shown

to be effective

and there are no risks you know

increased risks for serious safety

events

it might become the vaccine might get

approval

by the regulatory authorities to be used

but the assessment of the vaccine is not

in there

we can’t yet rule out the potential for

very rare events that may be caused by

the vaccine

and this is where the next stage of

assessment steps in

or what we call phase four

and that has thousands of millions to

participants here is where we get into

really big data we need vast numbers of

people

if a vaccine causes a serious adversary

and say one per hundred thousand people

we need some pretty big data to show it

if the event occurs

in say one per million people then we

need even bigger data to show it

so obviously we can’t run clinical

trials with millions of people in

so fortunately there’s a much more

pragmatic way to do this

and let me give you an example of the

power of big data

one common myth associated with vaccines

is that they cause autism

particularly the mmr vaccine the measles

mumps rubella vaccine

and this has been proven wrong over and

over again during the past 20 years

by big data and a very nice example

of the power of big data in assessing

vaccine safety comes from denmark

investigators here tracked over 650 000

children who were born between 1999

and 2010. most of them got vaccinated

and around 32 000 did not they found

that around six and a half thousand were

diagnosed with autism

and then the researchers found that

there was no increased risk in autism

among the kids who received the mmr

vaccine

and those who did not also the study

didn’t find any increased risk for

autism

even in subgroups of kids who who had

high risks for example that who

had a sibling who had autism or scored

high on an autism risk assessment

test there are many other studies just

like this one

addressing even just this one question

so big data can help us answer very big

questions

about vaccines

but today we’re facing a new challenge

and i’m sure that most of you didn’t

have this one in their diary for 2020.

in december 2019 a strange pneumonia

was noticed in wuhan china and soon

after the cause of this was identified

as a new coronavirus

and sadly the world were not prepared to

prevent the spread of the virus

and while china managed to get it under

control other countries

have not and today there have been over

32 million cases and almost 1 million

deaths

and deaths in some places have

outstripped the ability of the health

system

and the ability of the undertakers and

the cemeteries to cope

the covert world illustrates what the

world looks like without just one

vaccine major epidemics and pandemics

are as old as civilization itself and

you can find

mass graves everywhere so to help get us

out of this 21st century pickle we need

safe and effective vaccines urgently

how can we do this when normally it

takes 10 to 15 years

and up until now the fastest vaccine

ever developed was the mumps vaccine

that was in 1967 and it took four years

so what can we do to meet this need

well this is not 1967. in fact this is

2020 and it’s an international emergency

over the past few decades we’ve

developed technologies for vaccine

development

whereby you don’t even need the

disease-causing organism you only need

its genetic code

and with the genetic code in hand

scientists can make a range of vaccine

types

they can do this very very fast and the

reason they can do this very fast is

because they’ve now got some practice

recent experience with ebola vaccines

previous coronaviruses

and other emerging diseases means that

there’s some templates that are actually

ready to go you just plug in the

instructions for the new virus and press

play

the hardest part is actually testing

them in people to make sure

that they not only work but are also

very safe

and without missing out any steps

science and technology gave us the first

covert

vaccine in humans into a human in less

than 45 days

but these are just candidates at the

moment we don’t know for sure

if they work or how safe they are how

can we assess them super fast without

skipping out any vital steps and how can

we squash a decade

into a year

there are two things that make the

seemingly impossible possible

and first is lots and lots of money

vaccine development is very expensive

and risky business

most candidates will fail before they

before they get very far

and the more further down the track they

get the more money they cost

upwards of a billion dollars and then

add to that

the cost of actually making the facility

building the

facility to make millions and millions

of doses that’s another billion dollars

so investors need to be very cautious

and often a single company is going this

alone

however for covert this risk has been

spread

among many many into entities across the

globe so in a nutshell

money is no object the other thing is

running the steps in parallel to each

other

instead of completing each step or phase

before moving to the next one

activities are being overlapped with

each other in concert as though millions

of lives depended on it

and this has been done before in the

recent effort to bring a vaccine

uh ebola vaccine to africa

but once these trials have gathered

enough data to show a vaccine works

or doesn’t and and and they know that

you know they know the safety profile or

for a certain number of people we still

can’t rule out

possible rare safety events so enter the

next phase

into big data

today i have on my wrist more computing

power

than nasa had to send astronauts to the

moon and bring them back safely

we have massive administrative data

collections we have artificial

intelligence

we have smartphone apps and we have

social media and we have statistical

methods

that most people couldn’t even imagine

30 years ago

imagine a study that can utilize the

entire team of 5 million

where you can look at all the emergency

room visits you can look at all the

admissions to hospital

and you can link these events to the

vaccination exposure

and then you know which cases were

vaccinated and which were not and you

can make comparisons about risk

just like they did in denmark and we can

do this in almost real time

today we have the technology and the

expertise to detect harm from a vaccine

that occurs so rarely

perhaps only one in a million people

experience the harm or even fewer

but despite the science of vaccine

safety the thing that worries people

most about vaccines

is safety and hesitancy towards vaccines

is growing

so what is vaccine hesitancy

vaccine hesitancy refers to the delay in

acceptance or the refusal of vaccines

despite their availability or the

services being available to people

surveys from all over the world

continually highlight that the main

concerns people have

center around vaccine safety or the

perceived risks of vaccines

the vaccine confidence project attracts

people’s opinions about vaccines all

over the world

and here we can see in 2015

there were some populations that had at

least 40 percent

of people disagreeing that vaccines were

safe

are these fears based on science

no they’re based on something much more

complicated

vaccine hesitancy is complex and context

specific

and it varies across time and place and

a right across vaccines

it’s influenced by factors such as

complacency

convenience and confidence

yet you’re actually more likely to be

struck by lightning that experience a

serious adverse event

to to a vaccine the odds of being struck

by lightning in the us are around 1 in

280

000 but addressing this problem is not

easy and the covert 19 pandemic and the

explosion of information

or the emphademic is making it even

harder

part of the problem is that we’re

hardwired to take shortcuts when it

comes to processing information

the tendency to accept information that

confirms your beliefs

is explained by confirmation by us while

the idea that bill gates invented the

covert pandemic

or that covert vaccines will be a form

of mind control

are likely to feel true for people who

have conspirational beliefs

the idea that vaccines are full of

dangerous chemicals is likely to feel

true

to people who have a fear of chemicals

or chemophobia

messages that make such claims can be

amplified

and this can be very very fast and very

effective at shifting people’s opinions

when the messages resonate

with their underlying beliefs it is much

easier to believe something you read

if you already want to believe it

there are many facts around the

development of covert vaccines that are

becoming distorted

or are misunderstood and falsehood flies

rumors are contributing to to what is

being now called an

epidemic an over abundance of

information

from true some not and the facts have

become lost or distorted

and sadly lies travel faster and further

a study published in science in 2018

followed 126 000 rumors that were spread

by around 3 million people

and the false news reached people faster

than the truth and it diffused have

diffused further

using twitter data from 2006 to 2017 the

investigators classified news as true

or false using information from six

independent fact checkers

and the false falsehoods diffused faster

farther deeper and more broadly than the

truth

all categories of information the

authors suggested

that it was the novelty of false

information such as fear and disgust and

surprise

that made it more shareable and finally

bots

shared truth uh equally truth and lies

equally it was the people that actually

amplified the lies

so what does this mean for covert

vaccines

when kiwis were asked if they’d get a

covert vaccine

74 percent said yes which is about the

the global

average when people were asked why they

would not take a vaccine

concerns about safety were the most

cited and this is consistent globally

so why are so many people concerned

about the safety of a future

covert 19 vaccine perhaps

we’re just not doing a very good job of

helping people to understand how vaccine

safety might be assessed

but we also need to address something

far more complex than simply providing

better and more information

we need to foster trust and we need to

inoculate against misinformation as well

vaccine science has come a long way

since the days of the smallpox

inoculation

in just a few weeks uh from posting the

genetic code for this new pandemic

pathogen

vaccines were ready for the human

volunteers

in just nine months from the time china

and the who

raised the alarm several vaccines are

now in advanced clinical trials that

will soon yield data about their

efficacy

and about their safety but the vaccine

journey doesn’t stop

there and with preparation and

collaboration we can actually perform

the largest vaccine safety studies ever

undertaken

the covert pandemic has brought with it

an epidemic an

overabundance of information that has

resulted in an unprecedented distortion

of facts

no matter how safe a covert 19 vaccine

proves to be

we may face a challenge in convincing

people about the data

and in all this we all have a role to

play from global agencies

scientific journals mass media social

media platforms

and the one thing that everybody can do

is to check

before they share thank you

[音乐

] 牛痘

或新接种的奇妙效果

这是 18 世纪

讽刺艺术家

詹姆斯·吉尔雷 (james gilray) 的漫画,描绘了

反对这种接种做法的人散布的谣言

,在这里你可以看到这些 像牛一样的

附属物从人身上长出来,

这就是

他们被给予这种牛痘准备的想法,

这是一种

比可怕的天花要温和得多的疾病,自从

18 世纪人们第一次尝试接种天花疫苗以来

对疫苗的安全性表示担忧

给人们注射

牛痘会导致奇怪的事情

发生

,今天我们面临着类似的挑战

,几乎像这部卡通片一样疯狂的想法

实际上正在

爆炸,比尔·盖茨发明了冠状病毒

大流行,这样他就可以将微芯片

放入疫苗中 然后这些

可以被 5g 激活吗?

隐蔽的大流行不仅

是一种病毒的大流行,而且它也是

一个奇妙的我 具有非凡

想法的流行病比事实传播得更快更远

,而没有其他公共卫生

干预措施比

清洁水抗生素和疫苗挽救了更多的生命,但

疫苗总是会带来一定

程度的社会混乱,

所以本次演讲是关于如何爆炸

和扭曲 真相

,尤其是疫苗安全性,

正在挑战

我们控制疾病的努力,

可能阻碍我们部署

新兴的令人垂涎的疫苗的努力 19 种疫苗

现在没有疫苗是 100 种安全或 100 种

有效的,但有些

疫苗的安全性和疫苗接种是相对的

左边是一张图,显示了

对古老

的天花

变异的典型反应,大约百分之一致命

,但比实际

自然感染疾病更可取;右边是

对接种天花疫苗的典型反应

到 20

世纪末,天花疫苗仍然很大 接种疫苗的

死亡率约为 1%

或者大约有 100 万人死于

接种疫苗,但严重的

事件实际上很常见

,人们会

采取如此高死亡风险

或不良反应的程序似乎很奇怪

但是当面对这种

导致大约 30% 受害者死亡的疾病时,

这是一个完全理性的决定

,当天花的威胁

成为遥远的记忆时 生命

周期

这是一个我们许多

业内人士称之为著名的陈图的图表,

它基于美国医生鲍勃博士于 1994 年发表的一幅图

,它显示的是,

在疫苗出现之前,当一种疾病

出现并且非常可怕时

当疫苗到达时,人们对疫苗的接受度很高

,随着

疾病变得不那么明显,疾病开始消失

将他们的注意力转移到

疫苗的潜在安全性上,

也许是关注真正的甚至

只是感知到的

安全效果,并且疾病

不可避免地会

复发

可能的副作用

什么是真实的,什么是谣言,以及

我们如何判断

疫苗的安全

性在产品的整个生命周期内进行评估,有时

在负责保护我们健康的适当监管机构的审查和批准后,在实验室开始评估

疫苗安全性

在我们所说的第一阶段试验中进展到大约 30 名人类志愿者,

这是为了测试剂量和

安全性,并检查免疫

反应

,从这里一切顺利,一项

称为第二阶段的更大研究

可能会取得进展,这里会有

几百个

志愿者,安全将被密切监控,

那些早期的志愿者可以被跟踪

你 p 可能会持续一年或更长时间

,如果一切顺利,那么第三阶段的

研究可能会取得进展,其中可能

包括成千上万的人

,其中一些人将接种疫苗,而另一些人

将接受安慰剂

或没有任何益处的假注射,

并且通过 在这些试验结束时,

我们可以比较

接种疫苗的

人和未接种疫苗的人之间的结果,

并且提供疫苗已被

证明是有效的,

并且您知道没有

风险增加严重安全

事件的风险

它可能成为疫苗可能

获得监管机构的批准才能使用,

但尚未对疫苗进行评估

我们尚不能排除疫苗

可能引起的非常罕见事件的可能性

,这是下一阶段

评估的步骤

或者我们所说的第四阶段

,这里有数以百万计的

参与者,这是我们获得

真正大数据的地方,

如果疫苗引起严重的不良反应,我们需要大量的人

我们需要一些相当大的数据来显示它

如果事件发生

在每百万人中,那么我们

需要更大的数据来显示它

所以显然我们不能在

数百万人中进行临床试验

幸运的是,有一种更

实用的方法可以做到这一点

,让我举一个例子来说明

大数据的力量

与疫苗相关的一个常见神话

是它们会导致自闭症,

尤其是 mmr 疫苗麻疹

腮腺炎风疹疫苗

,这已被证明是错误的

在过去的 20 年里,一次又一次地

通过大数据和一个非常好的例子

来证明大数据在评估

疫苗安全性方面的力量来自丹麦的

调查人员在这里追踪了 65 万多名

出生于 1999 年至 2010 年之间的儿童。他们中的

大多数人接种了疫苗

大约 32 000 人,他们没有

发现大约 6.5 万人被

诊断患有自闭症

,然后研究人员发现,

自闭症的风险并没有增加

接种 mmr

疫苗的孩子和未接种该研究

的孩子没有发现任何自闭症风险增加,即使在高风险的孩子亚组中

,例如

有自闭症或自闭症得分高的兄弟姐妹

风险评估

测试还有许多其他研究,

就像这个一样,

甚至只是解决这个问题,

所以大数据可以帮助我们回答关于疫苗的非常大的

问题

但今天我们面临着一个新的挑战

,我相信你们中的大多数人都没有

在他们的 2020 年日记中没有这个

。2019 年 12 月,

在中国武汉发现了一种奇怪的肺炎,不久

之后,其原因被确定

为一种新的冠状病毒

,遗憾的是,世界并没有准备好

阻止病毒的传播

,而 中国成功

控制住了其他国家

没有,今天已经有超过

3200万例病例,近100万人

死亡,有些地方的死亡人数

超出了卫生

系统

的能力, 殡仪馆

和墓地

应对隐蔽世界的能力说明了

没有一种疫苗的世界会是什么样子

重大流行病和大流行病与

文明本身一样古老,

你可以在

任何地方找到乱葬坑,以帮助我们

走出这个 21 世纪 泡菜 我们

迫切需要安全有效的疫苗

我们如何才能做到这一点通常

需要 10 到 15 年

,到目前为止,有史以来最快的

疫苗是 1967 年的腮腺炎疫苗

,它花了四年时间,

所以我们能做些什么来满足 这需要

很好,这不是 1967 年。事实上,这是

2020 年,这是过去几十年的国际紧急情况

,我们

开发了疫苗开发

技术,您甚至不需要

致病生物体,您只需要

它的遗传密码

和 有了手头的遗传密码,

科学家们可以制造出一系列疫苗

类型,

他们可以非常非常快地做到这一点,他们能做到这一点的

原因是

因为他们现在有了 一些实践

最近使用埃博拉疫苗的经验

以前的冠状病毒

和其他新出现的疾病

意味着有一些模板实际上

已经准备好了 你只需插入

新病毒的说明并按下

播放 最难的部分实际上是

在人体中测试它们以

确保 它们不仅有效,而且

非常安全,

并且没有遗漏任何步骤,

科学和技术在不到 45 天的时间内为我们提供了第一个

在人体中进入人体的隐蔽疫苗,

但目前这些只是候选疫苗,

我们不确定

是否 它们的工作原理或它们的安全性我们如何在

不跳过任何重要步骤的情况下超快速地评估它们

以及

我们如何将十年压缩

到一年

有两件事使

看似不可能的事情成为可能

,首先是大量资金的

疫苗开发 是一项非常昂贵

和有风险的业务,

大多数候选人

在他们走得很远之前就会失败,

而且越走越远,他们

获得的越多 他们花费

超过 10 亿美元的资金,然后

再加

上实际制造设施的成本,

建造

设施以生产数

百万剂,这又是 10 亿美元,

因此投资者需要非常谨慎,

而且通常只有一家公司

单独行动

但是,对于隐蔽的这种风险已经

在全球许多实体中传播,

因此简而言之,

金钱不是问题,另一件事是

彼此并行运行这些步骤,

而不是

在移动到下一个活动之前完成每个步骤或阶段

相互重叠在一起,好像数百万人

的生命依赖于它

,这在

最近将

埃博拉病毒疫苗带到非洲的努力中已经做过,

但是一旦这些试验收集了

足够的数据来显示疫苗有效

或无效 ’t and and and they know that

you know they know the safety profile or for a certain number of people we’t and and and and they know that you know they know the safety profile or for some number of people we’t and and and and they know that you know that they know the safety profile or for a certain number of people we’t and and and they know that you know that they know the safety profile or 对于一定数量的人,他们知道他们知道你知道他们知道安全状况,或者

我们仍然

不能排除

可能的罕见安全 ety events 所以今天进入大数据的

下一个阶段

我手腕上的计算

能力

比美国航空航天局必须将宇航员送上

月球并安全带回

我们有大量的管理数据

收集我们有人工智能

我们有智能手机应用程序我们有

社交媒体,我们拥有

30 年前

大多数

人甚至无法

想象的

统计方法 您可以将这些事件与

疫苗接种情况联系起来

,然后您就可以知道哪些病例

接种了疫苗,哪些未接种疫苗,您

可以

像在丹麦那样对风险进行比较,我们可以

几乎实时地做到这一点,

今天我们拥有技术和

检测疫苗伤害的专业知识

很少发生,

也许只有百万分之一的人

经历过伤害,甚至更少,

但尽管科学 o f 疫苗

安全 人们

对疫苗最担心的事情

是安全性和对疫苗的犹豫

正在增加

所以什么是疫苗犹豫

疫苗犹豫是指

尽管疫苗可用或

提供给人们的服务,但疫苗的接受或拒绝延迟

来自所有人的调查 世界各地

不断强调人们关注的主要

问题

集中在疫苗安全或疫苗的

感知风险

疫苗信心项目吸引

了全世界人们对疫苗的看法

,在这里我们可以看到 2015 年

有一些人口

至少有 40

不同意疫苗安全的人的百分比

这些恐惧是基于科学的

不是 它们基于

更复杂的东西

方便和自信,

但你实际上是莫 可能会

被闪电击中而对疫苗

产生严重的不良事件

在美国被闪电击中的几率约为

280

000 分之一,但解决这个问题并不

容易,而且隐蔽的 19 大流行和

信息爆炸

或者流行病使问题变得更加

困难的是,在处理信息时,我们

天生就走捷径。

隐蔽的流行病

或隐蔽的疫苗将成为一种

精神控制形式

对于

有阴谋信念

的人

来说可能是

正确

的 做出这样的声明可以被

放大

,这可以非常快速和非常

有效地改变人们的意见,

当信息重新

与他们的基本信念共鸣 如果你已经

想相信你读到的东西,相信它会更容易

有许多

关于秘密疫苗开发的事实正在

被扭曲

或被误解,虚假的

谣言正在助长

现在的情况

2018 年发表在《科学》杂志上的一项研究

跟踪了 126 000 条谣言,

大约 300 万人传播了这些谣言

和虚假新闻 从 2006 年到 2017 年,使用 twitter 数据更快地传播到人们

,并且

传播得更远

调查人员

使用来自六个

独立事实核查

人员的信息将新闻

分类为真假 作者

认为这是虚假 i 的新颖性

诸如恐惧、厌恶和

惊讶之类的信息

使它更容易分享,最后

机器人

分享了真相,呃,真相和谎言

一样,实际上是人们

放大了谎言,

所以

当新西兰人被问到是否会得到秘密疫苗时,这对秘密疫苗意味着什么 一种

隐蔽疫苗

74% 的人说是的,这大约

是全球

平均水平 当人们被问及为什么他们

不接种疫苗时,

对安全性的担忧被

引用最多,这在全球范围内是一致的,

那么为什么这么多人

担心未来的安全性

隐蔽的 19 疫苗也许

我们只是没有很好地

帮助人们了解如何评估疫苗的

安全性,

但我们还需要解决

更复杂的问题,而不仅仅是提供

我们需要的更好和更多的信息来培养信任和我们需要 从

接种

天花的日子开始,疫苗科学也取得了

长足的进步

这种新的大流行病病原体疫苗的遗传密码

在中国

世卫组织发出警报后的短短九个月内就已为人类志愿者准备就绪,几种疫苗

现在正在进行高级临床试验,

很快就会产生有关其

功效

和安全性的数据 但疫苗

之旅并不止

于此,通过准备和

合作,我们实际上可以

进行有史以来最大规模的疫苗安全性研究。

事实证明,一种隐蔽的 19 疫苗是安全的

我们在说服人们相信数据方面可能面临挑战

,在这一切中,我们都可以

在全球机构、

科学期刊、大众媒体、社交

媒体平台

上发挥作用,每个人都可以做的一件事是

在他们分享之前检查谢谢