Important

This virus is not happening in a vacuum where no information existed previously

On Immunity, On testing, On serology, On transmission, On masks, On treatments...

We must stop this narrative that we know nothing of this virus until we learn it anew - again.

1/
The constant drum beat of “we do not know that yet” is tiring.

We KNOW SO MUCH! about SARS-CoV-2 and COVID-19. We knew it before this virus was ever discovered!

We’ve watched since January with study after study reaffirming out expectations of this virus in SO MANY WAYS.

2/
In many we ways we got lucky on this front.

Take HIV for ex. HIV was a new virus for which we generally did have to rewrite the text book

But this virus is different from HIV in that it is behaving in almost all ways per the “textbook”.

3/
1) Transmission. We knew that this was a transmissible respiratory virus, yet when the virus began transmitting internationally we said we weren’t sure if it would become global.

Of course it would - esp bc in a few weeks it had already transmitted to many countries in Asia

4/
2) Transmission

We knew this is a respiratory virus and yet we said we didn’t have enough information to know if masks help or hinder

This was always ridiculous

Yes there were reasons (i.e. conserving PPE), but stating that we didn’t know enough shouldn’t have happened

5/
3) Immunity:

We know MUCH about viral immunology. When antibodies started to be observed to wane we said this is an other worldly virus and though we must learn everything about it anew. But not so, it serves as a textbook example of immunity to an acute respiratory virus.

6/
3) Immunity cont’d:

Antibodies go high w primary infection and wane quickly. We know this. Yet it led to massive confusion/concern. People like @VirusesImmunity luckily chimed in to remind that this is normal and @apoorva_nyc wrote a nice about it

nytimes.com/2020/07/26/hea…

7/
3) Immunity Cont’d

Knowledge of immunity is accelerating b/c of this virus, yes. The important point is that this virus is not in isolation.

It fits in most ways what we expect / know already. We dont need entirely new empirical immunological evidence for every assertion.

8/
4) Testing and transmissible virus

We’ve seen major confusion about PCR, role of Ct values, limitations of PCR and antigen tests, and whether tests can help understand infection status of people.

9/
Over and over people say we don’t yet know enough to know about how to use Ct values to help determine transmissibility.

But we do! We know so much and have known so much. Ie. We know low Ct values mean likely transmissible. We know that high Ct values mean low viral loads.

10/
At the very least on this front we can use a low Ct value to say “this person definitely has a high viral load” because a bad swab isn’t going to add virus to the test. The other direction, not as clear. But this point need not be in question.

11/
We know how viruses like this grow. Did we know the precise kinetics... no. But we know viruses like this grow exponentially once they take off and then slow down/get cleared.

So we didn’t need all of the empirical evidence to have a very good idea of viral trajectories.

12/
5) Seasonality:

This is last point. I recognize we haven’t been w this virus for a full year and its not endemic- so hard to know if it’s seasonal. But we know so much about it already from its closest neighbors... it’s reasonable to make the leap that it’s likely seasonal

13/
These leaps in these areas aren’t guesses. They are part assumptions but usually w clear cut scientifically defined aspects of viruses like this that enable us to combine complex concepts/data and develop pictures of a virus like this before all of the empirical data exists

14/
When we can obtain the empirical data, great.

But by going back to first principles about viral replication, cell biology, immunity, transmission, droplets, pandemic spread, etc we often can infer a tremendous amount despite highly incomplete SARS-CoV-2 specific data.

15/
To sum

I hope that in this pandemic when the pace of necessary forward movement outstrips pace of data collection, we can recognize how much we already know

I am still looking for major aspects of this virus that do not fit the textbook. But they arise only very rarely.
Extras

See this wonderful comment/review by @baumgarth @deeptabhattacha and their team on this very issue relating to immunity and sticking to the known knowns. This is a terrific work!

jimmunol.org/content/early/…
Extra

This on what we knew about the likely limits of contact tracing when many transmission chains exist, the limits of PCR based testing and the potential need/utility for rapid tests as countermeasures.
Here is another. We discussed back in March the implications of and likelihood that kids were silent spreaders. We never published this formally. Probably should have...

dash.harvard.edu/handle/1/42639…

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More from @michaelmina_lab

14 Oct
New research! Starring... Ct values!

We endeavored to ask:

Can we create a brand new metric to know if #COVID19 is increasing/decreasing without staring at case counts & fractions positive - both greatly obscured by test practices.

Yes! w/ Ct values!

medrxiv.org/content/10.110…
In this incredible Tweet thread 👆 @jameshay218 describes the new work - we hope will lay new groundwork for public health authorities to track this/future viruses & if control strategies are working

Work also w co 1st author Lee Kennedy-Shaffer, @mlipsitch & @SanjatKanjilal
One piece that is so cool about this method is we do NOT need a time series of case data to create a trajectory (those little bars on @nytimes website or google that we’ve all stared at for the past 9 months to see trend up vs down in cases). We can do it from a single day!

3/
Read 7 tweets
13 Oct
So important in this pandemic to NOT let RARE events make the headlines & grab our attention

@NPR - this should NOT be a headline unless you’re going to have daily headlines that say “Millions NOT reinfected today with COVID19”

People are scare enough

npr.org/sections/coron…
Re-exposures are essential to build our immune system. This is not in question. They are like training.

But like anything, when enough people get a re-exposure, there are going to be rare cases here and there that go awry and someone gets more sick the second time.

2/
But this is rare and should NOT be interpreted as people will not build protective immunity and that vaccines will not work.

The take away from this piece should be “In a rare event, a person in the US gets a severe second infection with SARS-CoV-2”

One other point

3/
Read 7 tweets
12 Oct
Trump tested negative on @AbbottNews BinaxNOW test. His MDs are using for evidence of no longer contagious

I don’t disagree - but like use of tests to stop transmission - this is just one piece. Frankly, in this context, it’s being used out of context...

1/
The most important point of deployable rapid tests are that they can be used by many people, frequently!

But should not be used as confirmatory testing of -ve PCRs. This doesn’t make sense and WH use for this confuses how these tests are most appropriately used.

2/
These tests should be to screen ppl (frequently) for +ve results to identify people likely needing to be isolated

In this case @POTUS has had numerous PCR tests and is the president! He can get a viral culture test if he wants to go out w confidence he is not contagious

3/
Read 5 tweets
10 Oct
IDNOW by @AbbottNews rapid test is what @POTUS uses

It's said to be poor w very low sensitivity - the news, @US_FDA and many others say so

But this is a mistake. It's a very good rapid test

I explain here at ~3:30
(Just found link from an old talk)

The short story is the main study from NYU that led to the low sensitivity claims used an extremely skewed sample set

If you remove from the paper just the +ve samples with a Ct value >40 (incredibly miniscule RNA loads), the sensitivity of the test jumps from 60% --> 90%!
If you take only samples with Ct values <38 (still on par w almost any other PCR test), then sensitivity jumps from 60% --> 95%!!

So the problem wasn't the test, it was the samples evaluated. 30% of them were at the very limit of detection of a SLIGHTLY better test
Read 6 tweets
8 Oct
Urgent @US_FDA @CDCgov #AndWhoeverWillListen

Rapid paper strip tests can be extremely powerful public health tools

But they cannot just be introduced without major information campaign AND clear algorithm for use - like the CDC HIV algorithm.

1/x

nytimes.com/live/2020/10/0…
Despite high sensitivity when someone is likely contagious, and high specificity relatively speaking - 98%,

When deployed widely, a 2% false positive rate (1 per 50) is too high.

2/x
If deployed alone, a pop screening tests with a 1 in 50 false positive rate will immediately create a lack in confidence of the assay. This is already happening!

I’ve said it before - directly to FDA/CDC and here - we MUST have a clear goal and plan for these tests.

3/x
Read 7 tweets
7 Oct
Winter is coming!

If we do not get this virus under control now, we are in for a perfect and terrible storm

We are not taking the expected seasonality of this SEASONAL virus seriously!

Instead, we've assumed our efforts are responsible for decreased cases this summer...

1/x Image
I worry very much that people are confusing the fact that this virus has transmitted in the summer for it not being very seasonal.

This is a grave mistake and misinterpretation...

2/x
The 'force of infection' of this virus is massive! Think of it like the momentum that the virus has to transmit

The huge number of susceptible people is what is allowing the virus to maintain transmission through the summer months - when other coronaviruses go to near zero.

3/x
Read 11 tweets

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