What is driving current peaks in SARS-CoV-2 cases & what does this mean for the fall & winter?
Although a peak might seem to indicate that we're headed for fewer cases until a new variant arises, unfortunately that's not the case & a surge is both likely & avoidable.
A thread.
One possibility is in nice thread @trvrb suggesting US Delta surge is peaking now b/c 5% more of US pop infected, driving Rt down to 1 (which occurs at peak).
), Rt at peak is 1 b/c of combination of behavior (which drives R0) and fraction susceptible (Rt = R0*S/N).
Here's the challenge: in most social networks (the appropriate unit for transmission) we're not at herd immunity threshold (HIT) even when we combine vaccination + immunity from infection. How do I know we're not near HIT and what does that mean for Fall/Winter?
I know we're not near HIT b/c rise in cases July/Aug was too fast (e.g. local CA data suggest Rt =1.75) santacruzhealth.org/HSAHome/HSADiv…). To get Rt to 0.9, we'd need ~50% of remaining susceptibles to be infected & surge clearly was too small for that.
More generally, as most now, know HIT = 1-1/R0. R0 for delta with 2019 behavior is likely 5-9. If we use R0=7, HIT = 86%. Although some social networks might have immunity this high due to vaccination or infection, protection vs. infection & transmission isn't 100% from either.
I'm not aware of rigorous estimates of protection vs. infection & transmission for Delta for vaccination & previous non-Delta infection (please link if they exist), but crude estimates suggest that protection might be as low as ~60% (
If we use an optimistic 70%, then Rt w/ 2019 behavior & w/ 100% (!) of people with immunity would be:
Rt = (1-100%*0.7)*7 = 2.1
This means that to get Rt below 1 we need avoid 2019 behavior or we need super-immunity (e.g. vaccination + infection) or some combination.
This is why epidemiologists have been saying that we can no longer reach HIT just by vaccination. It means we need either behavioral changes to reduce contact rates or immunity that provides protection higher than vaccines or previous infection w/ non-Delta variant.
For Fall/Winter 2021-2, if we increase risky contacts back towards 2019 levels (as we did in 2020), infections will surge again until enough people have more protective immunity. Put another way, Rt may be <1 now but that's only b/c some are still not partying like its 2019.
We can avoid a fall surge by reducing Rt in 3 ways: 1) vaccinate the unvaccinated 2) keep risky contacts low (e.g. masks; many US states & countries are using masks to reduce Rt) 3) vaccine boosters (yes, I know that, morally, doses should instead be given to developing nations)
None of these are easy.
-We've been trying to vaccinate the unvaccinated w/ lotteries, $$, mandates, etc.
-Folks are tired of masks, social distancing
-Boosting 150M+ people in US would use 150M doses needed by developing nations & would be hard
Thus, I bet we'll have a fall/winter surge even w/out a new virus variant (but thankfully there'll be far fewer deaths/hospitalizations/long-covid due to vaccination), but the timing and size of the surge is very tough to predict because it depends on HUMAN BEHAVIOR.
IMO, human behavior has been the hardest thing to understand/predict during the pandemic. Many surges in 2020-1 have stopped long before reaching HIT, due to changes in human behavior. (exhibit A: Fig of UK Covid cases)
Given the variability in transmission among people and settings, a shift in behavior by a small fraction of any population can have a big impact in reducing/increasing Rt (take all predictions with a giant grain of salt!).
So please, get vaccinated if you haven't yet, be a little safer than you otherwise would be until we get ample vaccine supply, and when we do get boosted (hopefully w/ an updated vaccine)!
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Nice thread @EdMHill describing modeling from 1 of 3 teams on possible outcomes in UK that guided recent decision to postpone re-opening.
Big takeaways:
-I wish US gov had been open to scientific guidance in 2020
-Big uncertainty in behavior changes w/ re-opening
cont.
-Big uncertainty in relative transmissibility of delta (b.1.617.2) variant & vaccine effectiveness for transmission (not symptomatic disease). PHE-UK has provided fantastic real-time analyses of available data, but some critical data, that could be collected, are missing.
-Importance of limited vaccine supply. US can't seem to give away vaccine even with beer, lotteries & more. In UK (& most, but not all, of world) every dose is precious & in-demand.
Why hasn't B.1.1.7 fully displaced other variants in US? What other variants are persisting/growing?
Thread
B.1.1.7 has risen to relatively high frequencies in many states, but hasn't exceeded 90% in any of them & may be falling in several.
Data here from @my_helix
GISAID sequences via fantastic outbreak.info for US as a whole suggest B.1.1.7 now stable @70%, P.1 is growing, B.1.526 frequencies are stable. But variable sequencing means finer resolution is better for understanding frequency dynamics, spatial variability & nuance.
Statewide scale is still too large but better than whole US.
Here's FL. Similar pattern as whole US - P.1 growing & B.1.526 stable, leading to slight recent decrease in B.1.1.7
Yesterday I posted the tweet below as a joke.
Today I found so much bullshit (@callin_bull) it blows my mind.
Exhibit 1: The press release itself: investors.modernatx.com/news-releases/…
Yup, they claim 0 vs 4 cases = 100% efficacy.
Exhibit 2: NBC, USA today both parrot 100% efficacy claim.
Exhibit 3: Moderna CEO claims vaccine prevents infection (see quote). Note: there was no data presented from study on efficacy against infection (despite that being #1 reason to vaccinate kids). Only symptomatic disease (4 cases total), antibody response, & side effects.
It's worth noting that efficacy wasn't a primary endpoint of this trial - translation: the study wasn't trying to measure efficacy so there's no need for Moderna CEO to spout bullshit. Where is NIH partner telling them to cut the BS?
What is the trajectory of viral load dynamics & test sensitivity post-INFECTION?
We're 17 month into the pandemic &, shockingly, this Q is still only partly answered.
Recent paper using a study design I proposed 12 months ago provides detailed look & raises many questions.
Background
We know that ~3-6d following infection COVID-19 symptoms start (the incubation period). doi:10.1136/
bmjopen-2020-039652
We also know that people are infectious before symptom onset - this has been one of the greatest challenges in controlling SARS-CoV-2.
How effective are vaccines vs severe & all disease, death, infection, & transmission?
Very nice collection of studies assessing different aspects of vaccine protection by Julia Shapiro (on twitter?) @nataliexdean@betzhallo@ilongini & 2 others.
Thread medrxiv.org/content/10.110…
Study has data on many different measures of protection:
all infection (symp + asymp), all symptomatic (mild+severe), severe, hospitalization, death, & transmission,
for 8 vaccines: Moderna, Pfizer, Novavax, Astrazeneca, Sinopharm, Sinovac, Sputnik, J&J,
3 variants&
1&2 doses
Should vaccinated people stop wearing masks?
Happy to contribute to article @B_resnick w @MonicaGandhi9@AbraarKaran@DocJeffD@DrJeanneM
Short thread w/ my perspective on how to navigate CDC guidance on masks post-vaccination.
1st: Protection from vaccination is NOT 100% (no surprise to anyone that follows me to hear this)
So, despite being vaccinated, I'm still going to wear a mask in what I consider high(er) risk situations - indoors w/ dozens of households, unless community transmission is VERY low.
What is very low? My perspective: CA (where I live) has tiers based on daily cases/100K. Lowest tier is <2/100K. If we assume there are 5 infections/case & people are infectious for 10d, this translates to 1/1K. Pretty low. If everyone is vaccinated, risk ~10x+ lower so <1/10K.