What we know from recent papers + data deposited into NCBI by the Wuhan Institute of Virology / EcoHealth Alliance just before the pandemic is that by 2016 they were actively sampling bat viruses in Yunnan and North Laos, where the closest relatives to SARS-CoV-2 have been found.
There are 2 things we don't know.

1. What other viruses and locations were sampled between 2016-start of pandemic. Their collaborators across 7 SE Asia countries, including Laos, wouldn't tell @theintercept @fastlerner

theintercept.com/2021/12/28/cov…
Although much of this work was funded by US sources such as USAID (PREDICT) and NIH/NIAID.

EcoHealth even told NIH in 2016 that they were going to transfer pathogen samples from the wildlife trade directly from 7 SE Asia countries to Wuhan.
If any records of the EcoHealth Alliance / Wuhan Institute of Virology work, partially funded by the US, conducted between 2016-pandemic exist, the public has not seen them.

The basics remain unknown: the number and dates of trips and the kinds and numbers of animals sampled.
The second thing we don't know.

2. How EcoHealth / Wuhan Institute of Virology scientists in the middle of peer review (especially of papers describing the Yunnan & Laos virus hunting) reacted to the discovery of SARS-CoV-2 in Wuhan in Dec 2019.
Latinne et al. Aug 2020 (data deposited pre-pandemic, paper sent for peer review Oct 2019):

In fig 3, the scientists who added SARS2 into their analysis when its genome released Jan 2020 would've noticed they were in possession of its closest relatives.
nature.com/articles/s4146…
Specifically, this is the picture they would've gotten since the pangolin & RmYN02 data had not surfaced yet.

They would've seen that the 9 closest relatives to SARS-CoV-2 were at the Wuhan Institute of Virology in Jan 2020.

Yet the paper makes no mention of this.
Latinne et al. claimed samples were taken from 2010 to 2015 in China but did not write that some samples were also from Laos.

Fortunately, their data which was deposited into NCBI before the pandemic had locations described, showing 41 Laos samples.
ncbi.nlm.nih.gov/nuccore/?term=…
This is the paper's funding information. Clearly showing that US dollars had supported virus sampling in China and Laos, samples sent to the Wuhan Institute of Virology.

Donors in the West also funded the work after April 2020.
nature.com/articles/s4146…
I'm going to say that their virus hunting efforts, if intended to predict pandemics and inform about novel pathogens, did not pay off when Covid-19 appeared in Wuhan.

Info about closest virus relatives being analyzed by both Chinese & US partners was not immediately disclosed.
The task of informing us about the closest virus relatives to SARS-CoV-2 fell to internet sleuths @franciscodeasis and @TheSeeker268 who had to slowly and conscientiously piece together info, data, sample IDs spread across publications + leaked WIV theses.
@franciscodeasis @TheSeeker268 On the other hand, what do we know about wildlife trafficked from the South into Wuhan, Central China?

Daszak, EcoHealth Alliance told NIH in 2016 that wildlife trade in South China was reduced so they had to sample from SE Asia markets that supply China.
A recently published study involving 2,595 samples from 1,726 animals (16 species, including pangolins) across 344 locations (e.g., natural habitats, artificial breeding sites and zoos) in 19 Chinese provinces found a grand total of zero SARS-like viruses.
biorxiv.org/content/10.110…
A wildlife market #OriginOfCovid is still on the table but at the moment:

The only SARS2-like viruses in the wildlife trade = 3 pangolin CoVs in South China.

The closest SARS2-like viruses are from bats in South China and Laos with a known path to Wuhan via virus hunters.
A study conducted right before the pandemic started said no bats or pangolins were sold at Wuhan wildlife markets.
nature.com/articles/s4159…
And near Wuhan, people are still actively touring the local bat caves and pumping water out for residential use.

I don't think they even remotely suspect or believe that SARS-CoV-2 came from bats in their area.
I imagine if a similar level of circumstantial evidence existed for natural #OriginOfCovid eg a raccoon dog farm rife with SARS2-like viruses regularly supplying Wuhan, some would've said the case is closed.

Even w/o this evidence, some say they're certain of a natural origin.
Yet we know scientists were regularly sampling sites rife with SARS2-like viruses, bringing these directly to Wuhan, with a pipeline for inserting novel cleavage sites into novel SARS-like viruses.

And some scientists still refuse to put lab #OriginOfCovid on par with natural.
Why is there a higher standard of proof for a lab #OriginOfCovid? I believe the reasons are not scientific.

Lab-based outbreaks, even of a novel virus (Marburg), have happened before many times. SARS-CoV-2 itself recently leaked from a BSL3 lab, infecting a fully vax'ed person.
Rushing to condemn a lab accident as a conspiracy theory or scientifically implausible was not scientific.

Failing to rigorously follow up on these clear leads pointing to a virus hunting-based conduit of SARS2-like viruses into Wuhan is also not scientific.

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More from @Ayjchan

30 Dec
Would also be useful to color the states to indicate average age of population and BMI @nytimes

Also, deaths are counted since Apr 2021 but vaccination rate is as of Dec 2021, so would be useful to shift timeframe a few months later since some states were slower to vaccinate.
@nytimes To be clear, the Covid-19 vaccines approved in the US have protective effect against severe outcomes (although still awaiting Omicron data).

As a low risk category person, I was only fully vaccinated by June 2021 (2 shots Moderna + 2 weeks after 2nd shot).
Overlaying average age and BMI (e.g., age = size of dot; BMI = color of dot), and shifting the date range later to when most people got their vaccines, would help to show the effects of the vaccines vs other factors that contribute to Covid-19 deaths.
Read 4 tweets
30 Dec
One common #OriginOfCovid misunderstanding is that early Covid-19 cases were linked to market stalls selling wildlife.

There's actually no data to support the claim, and the data provided by the China-@WHO joint study, whether you trust it or not, contradicts the claim.
@WHO Although some cite the China-WHO joint study report in support of the claim above, the report actually contradicts their interpretation:

Page 45: "no clear clustering with one specific part of the market was apparent as cases were widely distributed"
who.int/publications/i…
It's also important to note that even though "most cases were associated with the western side of the market", we're talking about a market the size of more than 9 NFL football fields combined.

You're saying most cases were in 4.5 football fields.
Read 18 tweets
28 Dec
I'd like to see this problem of inequitable credit and technology sharing solved.

If updated vaccines/therapeutics/diagnostics are developed, these should be sent first to places that reported the new variant(s) used in the update.

There should be a new credit sharing system.
In a pandemic when novel SARS-CoV-2 sequences can rapidly translate into updated vaccines, diagnostics & therapeutics, why don't prominent journals guarantee a "Resource" paper for the researchers who are the first to share the sequence of a new variant of interest/concern?
This way, data sharing is highly incentivized and accelerated.

Both the sequence contributors and the journal are rewarded due to hundreds or thousands of citations of the Resource paper.
Read 4 tweets
28 Dec
Another key piece on risks of lab-based outbreaks by @fastlerner @theintercept

"it is not at all clear that tracking down virus-infected wildlife in remote locations, to which the U.S. devotes.. substantial [$].. helped us prepare for our current crisis"
theintercept.com/2021/12/28/cov…
"Virtually every part of the work of outbreak prediction can result in an accidental infection. Even with the best of intentions, scientists can serve as vectors for the viruses they hunt — and as a result their work may put everyone else’s lives on the line along with their own"
Dennis Carroll, who designed and led Predict:
“It’s fool’s gold to think that you’re going to predict which is the next virus. But you can begin forecasting where that emergence is most likely to occur... I probably never should have named Predict ‘Predict’”
Read 12 tweets
28 Dec
"The number of hospitalisations related to the Omicron variant is climbing rapidly across the UK, with a jump of 67 per cent in London alone."
cityam.com/omicron-hospit…
🇨🇦 "Linda Silas, head of the Canadian Federation of Nurses Unions, said the “big bump” is usually seen two weeks after exposure to the virus, and expressed worries that holiday gatherings could lead to hospitals becoming overwhelmed with new cases."
globalnews.ca/news/8475226/c…
🇦🇺 "biggest daily surge in infections.. the authorities refrained from imposing new restrictions saying hospitalisation rates remained low"

"Sydney testing clinic.. wrongly told 400 COVID-positive people they were negative in the days before Christmas"
reuters.com/business/healt…
Read 5 tweets
28 Dec
Sometimes wish journalist reports would provide citations for statements made. Example:

"A new British report shows that booster doses are less effective against Omicron than previous variants, and their effectiveness wears off faster — within 10 weeks."

nytimes.com/2021/12/23/wor…
The claim comes from this technical briefing which doesn't sound that terrifying. Just a 15-25% reduction in vaccine effectiveness after 10 weeks. Yes, it's faster for Omicron than for Delta. But it's not like the boosters don't work after 10 weeks.
assets.publishing.service.gov.uk/government/upl…
Bit further down in the doc (page 25), it says:

Pfizer 2 shots + Pfizer booster = ~70% vaccine effectiveness against symptoms; dropping to 45% after 10+ weeks

Pfizer 2 shots + Moderna booster = ~70-75% vaccine effectiveness even up to 9 weeks later
Read 5 tweets

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