Spent several hours today attempting to get a rapid test. Tried Instacart, which failed, then went to Walgreens, Safeway, called two CVSes, checked online catalogues and attempted to see in-store inventories at each pharmacy, and finally was able to schedule a test at a clinic.
The test is tomorrow, and I have to walk to the clinic again, at which point the results will take 48-72 hours to turn around.
While on the East Coast for most of this year, testing was much easier. Resources existed for free next-day PCR text delivery, and NYC had pop-up testing sites everywhere.
For San Francisco, this is nuts. As we continue through the holidays it is nearly impossible to get a COVID test before the end of the year. Massive local and state (and federal) public health failure. @LondonBreed@SF_DPH@sfchronicle
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Eagerly awaiting 2022’s global COVID policy… happy holidays y’all!
Hopefully, this year: 1) rapid tests can be received by every US household free of cost and same-day / next-day 2) we can update vaccines beyond the wildtype, Wuhan sequence 3) “COVID is airborne” is understood globally and accepted by WHO 4) better therapeutics 5) better masks
6) better ventilation and filtration systems in schools and workplaces 7) more global vaccine equity 8) more awareness and emphasis on prevention and treatment of long-COVID / viral-driven ME/CFS 9) more funding for therapeutics outside of monoclonals and Pfizer/Merck
@postmates, @ubereats, @instacart, @uber and @lyft could make a major impact on the pandemic by working with @walgreens, @cvspharmacy, and others to deliver rapid antigen tests to people’s doors. Shocked how difficult it is to get a rapid Ag test delivered in San Francisco.
Biden’s 500 million rapid tests won’t be available until mid January. By that point in time omicron will already have done most of its damage in populated cities and tens of thousands of people will be dead in the US.
It’s been 2 years since the pandemic started, and we still don’t have a centralized and easy way to nationally order rapid tests? Let alone receive them for free?
I am concerned about sub-threshold neutralizing antibodies tied to disease enhancing antibodies leading to greater persistence of COVID. Those with long COVID are canaries in the coalmine and we should be directing far more attention to the pathogenesis underlying these cases.
For example, we know omicron is ~40x less potently neutralized by antibodies against the original SARS-CoV-2 strain, which we based our vaccines off. So our strategy is a booster to boost levels 25x, breaking past this threshold.
But what happens when those antibodies wane? Where are the studies examining the disease-enhancing thresholds for Group IV and other infection-enhancing antibodies?
There weren't any SARS-CoV-2 omicron variant spike protein structures online, so I simulated it and docked its binding to ACE2, Vir antibodies, and Regeneron antibodies. Considering publishing but done just for fun at the moment. Please cite if you want to publish with this.
This study shows that as antibody levels drop, antibody-dependent enhancement can be a factor in enhanced infectivity of SARS-CoV-2. The authors took convalescent antibodies from recovered COVID patients and studied the role of different Fc receptors in mediating this effect.
These findings are concerning, as they suggest that below certain thresholds of neutralizing antibodies, “off-target” antibodies can enhance infectivity.
I worry that as we give boosters against older strains of COVID, the risk of this occurring clinically may also increase. It shouldn’t be controversial to state this, and this isn’t to suggest that vaccines aren’t necessary for saving lives.
(1/6) Fermi’s Paradox, expressed as the Drake Equation, allows us to estimate the frequency of habitable planets and intelligent, spacefaring life. Each additional event is a fraction that reduces the final probability of life within a given distance in the universe ever lower…
(2/6) How can we think of a Fermi’s Paradox and Drake Equation for Lab Leaks? We can call it the Emergent Pathogen Equation.
L = 1-N = P*G*N*R*C
L = probability of lab leak
N = probability of natural origin
(3/6) P = pathogenic research of relevant viral families in a nearby lab occurred (1 if 100% yes scaling to 0 if 100% no)
G = genetic engineering or selection research adapted for human enhanced infection of a previous virus occurred (1 if 100% yes scaling to 0 if 100% no)