Also this is really how peer review should work. Open, honest and fair criticism of preprinted/published work. Now everyone can see what problems each study suffers from and decide for themselves whether they think the conclusions are well supported. Expertise is being shared.
On studies pointing to covid appearing in Europe earlier than Dec 2019, many somehow detect later variants (D614G) rather than the earliest form of SARS2.
This requires a virus endemic to South China/SE Asia to not only be able to time travel but also teleport across continents.
SARS2 is pretty tricksy but time travel and teleportation thankfully do not yet feature in its repertoire.
Moreover if D614G had been detectable at a population level in Europe or US earlier in 2019, wouldn’t there have been an uncontrollable explosion of covid much earlier than the Dec 2019 Wuhan outbreak?
We’ve seen how bad it is in the West even when people are aware of the virus.
Due to the opacity of peer review and editorial investigations, one of the most famous papers suggesting 2019 covid in Europe is still online despite the journal saying since March 2021 that it is now under investigation.
Editors, the paper was accepted only one day after submission. You don’t need half a year to investigate.
Just look at the peer reviews.
1. Do they even exist?
2. Is the submitted manuscript different from the final publication?
… and I have just been informed that the editorial investigation came to nothing and there are no corrections needed for this study that was accepted one day after being received by the journal.
Not all peer review is equal. Especially the kind that takes only one day and the editors comes from the same institute as the authors.
Question for epidemiologists: in your field, is it acceptable to reverse engineer data out of a figure (left) using Illustrator to generate a nicer version (right) for your paper?
The original data cannot be accessed, legend is blurred out, the map itself is highly pixelated.
But would it be better to copy the original figure into one's new paper (with attribution) alongside the reverse-engineered figure so that readers are aware of the 'data' quality?
The authors do clarify in their supplementary (but not main text) that data loss occurred during reverse engineering:
"Map data was manually extracted from Fig 17.. using Adobe Illustrator. Because of multiple overlapping points there will be errors in the extraction process."
I really like the idea of re-routing viral traffic, put forth by virologist Stephen Morse.
Natural routes of viral traffic continue to exist and be amplified. But new routes of viral traffic, related to research activity, have emerged in the modern era... noemamag.com/the-routes-of-…
One early example of a novel pathogen emerging due to research activity is Marburg virus, "first recognized in 1967, when outbreaks of hemorrhagic fever occurred simultaneously in laboratories in Marburg and Frankfurt, Germany and in Belgrade, Yugoslavia" cdc.gov/vhf/marburg/in…
And that was generations ago.
Today, we can go from a virus sample to a genome sequence in a few days, and from a genome sequence to a completely synthetic perfect (seamless) copy of that genome in a matter of weeks.
Would be good to track the 2000+ individuals (all adults vaccinated) from this cruise who are disembarking in the Bahamas tomorrow and see how many test positive for Covid-19 over the next 2 weeks. usatoday.com/story/travel/c…
There are many things we don’t know *yet* about the delta variants and vaccines:
How much do our vaccines protect against infection, asymptomatic or symptomatic, by delta?
How much do infected vaxed individuals spread the virus compared to infected non-vaxed individuals?
We do know that several top vaccines continue to protect against severe covid-19. So it’s not particularly worrying when vaxed people get delta (although there are exceptions and some breakthrough cases suffer greatly). What’s worrying is the spread of delta to the unvaxed.
NIH explained to Senator Grassley how NIH-funded SARS/MERS-like chimeric CoV work at WIV had not been determined to meet USG criteria for GOFROC covered by federal funding pause or P3CO Framework.
“during the course of the grant, the grantee proposed to place a small portion of the newly identified bat coronaviruses into a larger portion of MERS-CoV to understand the potential origins of MERS-CoV in bats.. conducted at WIV”
Can this proposal pls be shared with the public?
Another question: Did NIH-funded WIV work turn out to be “instrumental to the unprecedented rapid development of vaccines, therapeutics, and diagnostics to address the COVID-19 pandemic”?
Important for this to be substantiated with data since similar work continues to be funded.