Excellent analysis by @IdoIrani about the waning booster effect (for infection) stratified by age group in Israel.
The worrying part: the rate of decline is most age groups is similar to the 2nd jab.
The worrying part: the rate of decline is most age groups is similar to the 2nd jab.
@IdoIrani This tweet is trending. So a few comments 1/2:
1 Data:
datadashboard.health.gov.il/COVID-19/gener…
2. This is a tweet not peer reviewed publication. It is a preliminary analysis with some caveats as described here.
3. The y-axis should be crude VE
4. Some Idiots...
1 Data:
datadashboard.health.gov.il/COVID-19/gener…
2. This is a tweet not peer reviewed publication. It is a preliminary analysis with some caveats as described here.
https://twitter.com/erlichya/status/1467811422226849800
3. The y-axis should be crude VE
4. Some Idiots...
have said that since I am a CEO of a start up and @IdoIrani is a PhD student, the analysis should be disqualified. This is my Google Scholar. Hope it passes your high bar 🤪.
scholar.google.co.il/citations?user…
5-∞. It is a preliminary signal.
scholar.google.co.il/citations?user…
5-∞. It is a preliminary signal.
@IdoIrani Here is the GitHub Repo for my analysis that is similar to @IdoIrani analysis (without age stratification).
github.com/erlich/covid19…
github.com/erlich/covid19…
@IdoIrani Also read this thread by Ido with more comparisons to peer-reviewed data.
https://twitter.com/IdoIrani/status/1468218739296550917
Check @MiloLabWIS data until end of Oct on VE of boosted vs. 2nd dose (the blue line in 60+ is mine). You can see a decline below 13x protection >45d from the booster (trigger warning: post-hoc analysis!). Does not mean a 4th jab in 3m but does suggest waning of the booster.
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