1/
We recently confirmed the effectiveness of the Pfizer-BioNTech vaccine outside of randomized trials @NEJM.
nejm.org/doi/full/10.10…

Studies like ours are being used to promote a vaccine passport to travel in the US, UK, and European Union.

A few clarifications are in order.
2/
Before we start, a disclaimer:

Vaccine passports involve complex ethical, economic, and political considerations.

Here I talk exclusively about scientific issues. The goal is that those making decisions have a better understanding of what we do and do not know as of today.
3/
Based on our study, we can say confidently that the vaccine is highly effective in preventing you from getting sick with #COVID19.

Based on our study, we can't say confidently that the vaccine is highly effective in preventing you from getting infected and infecting others.
4/
Why?

Because our study was designed to estimate vaccine effectiveness to prevent infections DOCUMENTED by the health system, not ALL infections.

Documented infections are predominantly symptomatic, so our study shows effectiveness to prevent symptomatic (and severe) disease.
5/
Why did we choose DOCUMENTED infections rather than ALL infections?

Individuals with symptoms tend to seek diagnostic testing so their infections get documented. Therefore, our study is expected to include most symptomatic infections and essentially all severe infections.
6/
In contrast, many asymptomatic individuals and some with very mild symptoms never get detected by the health system.

Therefore, we couldn't investigate ALL infections because we didn't have a full sample of all infections. Not even a random sample.

Having said this...
7/
... in a secondary analysis, we used our imperfect ascertainment of asymptomatic #COVID19.

Our estimates were consistent with high effectiveness to prevent asymptomatic infection but, given the data limitations, we'll have to wait for better studies.
nejm.org/doi/suppl/10.1…
8/
Of course it makes sense that vaccines help prevent infections, not only disease. If only because, by reducing the risk of symptomatic disease, vaccines shorten the time during which infected individuals can infect, as well as their viral loads.

But more evidence is needed.
9/
Back to the vaccine passport. This is what science knows today:

Vaccines prevent most travelers from getting symptomatic #COVID19, but we still don't know how much vaccines protect others from being infected by travelers.

A lesser issue after vaccinating all willing adults.

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More from @_MiguelHernan

24 Feb
1/
We've just confirmed the effectiveness of the Pfizer-BioNTech vaccine outside of randomized trials.

Details @NEJM: nejm.org/doi/full/10.10…

Yes, great news, but let's talk about methodological issues that arise when using #observational data to estimate vaccine effectiveness.
2/
A critical concern in observational studies of vaccine effectiveness is #confounding:

Suppose that people who get vaccinated have, on average, a lower risk of infection/disease than those who don't get vaccinated.

Then, even if the vaccine were useless, it'd look beneficial.
3/
To adjust for confounding:

We start by identifying potential confounders.

For example: Age
(vaccination campaigns prioritize older people and older people are more likely to develop severe disease)

Then we choose a valid adjustment method. In our paper, we matched on age.
Read 12 tweets
27 Nov 20
1/ Estimating the infection fatality risk (IFR) of #SARSCoV2 is hard.

Our estimates from Spain's #ENECOVID (just published):
Men: 1.1% to 1.4%
Women: 0.58% to 0.77%

After age 80
Men: 12% to 16%
Women: 4.6% to 6.5%

Why is the #IFR hard to estimate?
bmj.com/content/371/bm…
2/ The IFR in a population is the ratio of

number of deaths from SARS-CoV-2 infection (numerator)

and

number of individuals infected by SARS-CoV-2 (denominator)

during a prespecified period.

Both numerator and denominator are hard to quantify.
3/ Why is the denominator hard to quantify?

The number of infected with #SARSCoV2 is not the number of confirmed #COVID19 cases.

Because many infected individuals never have symptoms or have minor symptoms and are never diagnosed.

(For details, see journals.plos.org/plosntds/artic…)
Read 6 tweets
13 Nov 20
1/ Madrid es la única gran ciudad europea con más del 100% de sus camas de UCI en hospitales públicos ocupadas por enfermos con #COVID19

DURANTE DOS MESES.

Mantener este nivel de ocupación de UCIs es jugar con fuego.

Image
2/ Porque:

Se reasignan a UCI camas que se deberían usar para otras enfermedades.

Se agota al personal de UCI que debe atender a más pacientes.

Si la epidemia resurge, no queda capacidad de respuesta.

Las UCIs son nuestra última línea defensa.
3/ ¿Cómo se llegó a esto?

El primer problema fue permitir una epidemia increíblemente descontrolada durante tanto tiempo.

Otros países han tomado medidas mucho más duras cuando su nivel de ocupación de UCIs llegaba al 40%, el punto al que llego Madrid a finales de agosto.
Read 6 tweets
23 Sep 20
1/
Ayer el 36% de UCIs de Madrid estaban ocupadas por enfermos con #COVID19, según cifras oficiales.
elpais.com/sociedad/2020-…

Incorrecto.

Ayer el 95% de UCIs de Madrid estaban ocupadas por COVID-19 (112% en hospitales públicos).


¿Por qué la discrepancia?
2/
Porque las cifras oficiales cuentan como UCI cualquier cama donde se puede instalar un respirador:
quirófanos, salas reanimación postquirúrgica, unidad coronaria, UCI pediátrica...

Y no cuentan que el 70-75% de UCIs de verdad suelen están ocupadas en periodos no pandémicos.
3/
Así que el número de personas ingresadas en UCI por #COVID19 en Madrid es mayor que el número de camas reales de UCI en cada hospital.

Por ejemplo:

"La Paz" tiene 30 camas de UCI y 31 ingresados por COVID-19

"12 de Octubre" tiene 24 camas de UCI y 34
ingresados pr COVID-19
Read 8 tweets
11 Sep 20
1/
Look at the shape of these curves.

New York and Madrid had similar epidemics until they spectacularly diverged.

In March, both cities were caught by surprise and shut down because of #COVID19.

In September, the situation is under control in NY and alarming in Madrid.

Why? Image
2/
Let’s start with the similarities: two big, dense cities with a large network of public transit and lots of visitors.

An explosive outbreak of #SARSCOV2 overwhelmed their contact tracing system and their hospitals. A lockdown was required to reduce the public health disaster.
3/
By June, both places had succeeded in bringing down the number of new cases. That's precisely what lockdowns do.

In July, new cases started to increase in Madrid until reaching one of the highest incidences in Europe.

New York has not seen any increase in new cases yet.
Read 15 tweets
22 Aug 20
1/ Five months ago I asked about a #stratifiedlockdown to handle #COVID19.

The idea was to restrict lockdowns to people over age 50 or with preexisting conditions while the rest of society lives a relatively normal life.

Time to revisit this approach.
2/ No country has explicitly adopted a #stratifiedlockdown, but many have implicitly defaulted into some version of it.

That is, governments haven't ordered older people and their cohabitants to stay home, but they do recommend those in vulnerable groups to be extremely careful.
3/ As a result:

Many older people have chosen to live in a soft lockdown: no venturing into public spaces unless strictly necessary, few visits with relatives, regular use of face masks.

Many young people, feeling at low risk, have reverted to pre-pandemic social interactions.
Read 7 tweets

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