@ZoeMcLaren Thanks for tweeting about this article. I'm going to leave the matching issue for another day, but I want to add a note of caution as one of the authors. We did not claim, and the data do not directly address, the reduction in total infections.
@ZoeMcLaren We used the word "documented infection" to highlight the fact that many infections may have gone undocumented, especially those not symptomatic. The documented infections is a mixture of symptomatic (probably most of them) and asymptomatic (probably a smaller fraction)
@ZoeMcLaren As a consequence, it is mathematically possible to have a big effect on documented infections but a smaller effect on total infections. As an extreme case (likely more extreme than the truth) suppose that symptomatic infections are detected with probability 90% and
@ZoeMcLaren asymptomatic with probability 5%. Then a vaccine which converted all symptomatic infections to asymptomatic (rather than preventing them) could look up to 85% effective against documented infections. It is actually an important problem to work out the algebra of
@ZoeMcLaren what you'd have to assume for these results to be consistent with 0, 10, 20, etc percent reduction in total infections. We haven't done that, and should. But all we showed in the paper is the reduction in symptomatic infections (similar to the RCT) and in
@ZoeMcLaren documented infections. To be clear, this is absence of evidence (at least until further analysis). My personal bet is that mRNA vaccines will reduce transmission 80-90%, but I don't think there is evidence for that yet. Suggestive (esp the Moderna second-dose swabs) but not hard
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Our paper on identifying and mitigating biases in epidemiologic studies of #COVID-19 is now out and is #OA . doi.org/10.1007/s10654…. Skillfully led by @AccorsiEmma
this project involved much of our group and many discussions arising from papers we were reading.
We consider the challenges of several kinds of studies: 1. Seroprevalence studies to estimate cumulative incidence
where a key challenge is representativeness of participants
@profshanecrotty Thanks @profshanecrotty for another super informative thread (ht @HelenBranswell for tweeting). My 2 cents is just to remember that the comparison between sero+ and sero- in the control arm in Novavax was not randomized and involved ~40 cases in each group.
@profshanecrotty@HelenBranswell Study was of course not designed to assess natural immunity, so kudos to the scientists for reporting these important data, but caution in interpretation. Several reasons to expect bias in observational seroprotection studies like this dash.harvard.edu/handle/1/37366…
@profshanecrotty@HelenBranswell In particular, those who got infected before (sero+) are likely still at high risk for subsequent infection(due to job, housing, use of transport, other persistent factors), leading to noncausal positive association betwn prior and future infection (confounding).
Reupping this. Existing vaccines may well have been unable to get us to the herd immunity threshold before the variants made things harder. Now more unlikely. But if we can identify (hard) and vaccinate (harder) the most vulnerable it will make continued spread less destructive.
but there is evidence so far that the vaccines are highly effective against the most severe forms of COVID, even in South Africa where most cases were the local variant.
The @CDCgov ACIP move toward priortizing frontline workers is premised on "only slightly" more deaths compared to prioritizing by age &/or comorbidity. But that finding depends on the vaccine blocking transmission very efficiently, which we don't know.
In my opinion prioritizing by risk of death is the most robust strategy in the sense of being optimal or near-optimal whatever we find out about transmission blocking and the like. #ACIP
Notwithstanding misinterpretations and deliberate trolling from many the last few days, I have been saying for some time that in my view the most lifesaving strategy, and likely the one that will return us to functioning fastest, would be
I'm quoted in this article as saying that prioritizing vaccines for teachers is not a way to reduce health inequities. Primary & secondary teachers are not the most disadvantaged in US - they have college degrees, middle-class salaries, health insurance. nytimes.com/2020/12/05/hea…
79% are white nces.ed.gov/programs/coe/i…. Those are facts. I support putting teachers above most other same-age adults because they perform a truly essential function in person that is much harder to perform remotely. Have said so publicly statnews.com/2020/12/02/how…
And was early to refer to them as essential workers nejm.org/doi/full/10.10… along with my coauthor and spouse @meiralevinson , who was a middle school teacher for 8y
This is not a done deal but could happen (teachers would likely be in the same tier). If you object, make your views known to federal and state officials. States do not have to follow federal guidance, and if this is included in federal guidance, states should decline this part.
This is not animus against financial workers, and the industry is indeed essential, even if not all its activities are. The reason to prioritize many essential workers (grocery, transit) is that they are essential and THEREFORE highly exposed. Financial services much less so.
The goal of vaccinating essential workers in this instance should be to offer protection 2 those who can't work from home and are exposed to many other people in their workday, often with no or inadequate PPE. Teachers, grocery, transit are; financial svc can often work from home