THREAD
I created a simple table to illustrate the individual impact of the "flexible second dose timing" now recommended in the UK.

Coincidentally, @bob_wachter & @ashishkjha just tackled the US policy question in this important piece. 1/
https://t.co/n5bHkdIo0c

I based this on recent statements from the UK chief medical officers, JCVI, and what we know from prior vaccine development. 2/

JCVI: https://t.co/6FQ25d6MFE

UK Chief Medical Officer (CMO) statement: https://t.co/RTpAIqgE1i

CMO letter to the profession: https://t.co/4WeexrVYWX
This table and thread focuses on the AZ vaccine, where more data on a delayed second dose is available than with the Pfizer vaccine. It is not intended to address questions about single-dose regimens or mix & match approaches. 3/
In the table, persons “A” and “B” both receive their first dose in January. “A” receives their second dose in February (4 weeks later), and “B” receives their second dose in April (12 weeks later). “C” receives their first dose in April and second dose in May (4 weeks later). 4/
I made a qualitative comparison the potential efficacy during the two months between “A” and “B’s” second dose, as well as the potential longer-term efficacy after “B” receives their second dose. 5/
For the two-month period between the timing of “A” and “B’s” second dose, the level of protection for “A” may be greater than “B,” as “A” has received their second dose, although JCVI suggests that most of this early protection is provided by the first dose. 6/
JCVI says first-dose protection against hospitalization is high, so for that two month interval, I’ve assumed “B” is expected to be protected against the more severe forms of COVID-19 (“+”). 7/
After “B’s” second dose in April, we expect a more robust, higher quality and longer-lasting immune response than “A,” as is often seen with longer intervals in a primary vaccination series and supported by AZ’s data immunogenicity data. 8/
https://t.co/cqKIpomUHg
The bottom line is that “A” may see some protective benefit over “B” for two months (although “B” is expected to be protected against severe COVID during that time), but “B” is expected to have better long-term protection after they receive their second dose at 12 weeks. 9/
In other words, for the two months between “A” and “B’s” second dose: A>B>C

For the longer term, after “B” receives their second dose: B>A=C

10/
At a population level, this strategy could double the number of people immunized immediately while production ramps up. Many in category “C” could shift to “B.”

This assumes immunization programs are keeping up with the number of doses available. 11/
A few important caveats: (1) the assumption of sustained efficacy after the first dose is based on an exploratory analysis in the age 18-55 population. This needs to be confirmed in the older adult population. Exploratory analyses have limitations, esp if not pre-specified. 12/
(2) the assumption that a longer schedule (“B”) will result in a higher-quality, more durable immune response is based on immunogenicity data and experience with other vaccines. The efficacy impact will have to be confirmed. 13/
(3) we need to confirm that vaccine protection against the new strain is comparable after the first and second doses, given the affinity maturation expected with a second dose. 14/
Some virologists have raised the theoretical concern that a change in schedule could promote emergence of vaccine escape mutants. This is an important consideration that has implications for single-dose vaccine development and WHO’s minimum vaccine efficacy threshold of 50%. 15/
Again, this illustration is based on statements from UK authorities, AZ’s published data, and what is known from prior vaccine development. It is not a prediction of the future or what will happen to any individual, and is subject to updates as new data becomes available. 16/
I hope this helps people understand the practical ramifications of the UK recommendations and the pros/cons at individual and population levels. The urgency of the question is driven by the emergence of the new variant in the UK as well as the limited supply of vaccine. 17/
Thanks to our vaccine CMO, Dr. Gary Dubin for his input. More thoughts and links to others' views in the thread below.

I went through this exercise to clarify my own views and thought others might find it useful. Please take it in that spirit! 18/ https://t.co/2vzJ9Sdfc4

More from Health

this simple, counter narrative fact keeps cropping up all over the world.

hospital and ICU utilization has been and remains low this year.

it's terribly curious that so few of these monitoring tools provide historical baselines.

getting them is like pulling teeth.


we might think of this as an oversight until you see stuff like this:

this woman was arrested for filming and sharing the fact that their are empty hospitals in the UK.

that's full blown soviet. what possible honest purpose does that

this is the action of a police state and a propaganda ministry, not a well intentioned government and a public heath agency.

"we cannot let people see the truth for fear they might base their actions on real facts" is not much of a mantra for just governance.


90% full ICU sounds scary until you realize that 90-100% full is normal in flu season.

staffed ICU beds are expensive to leave empty. it's like flying with 15% of the plane empty. hospitals don't do that.

and all US hospitals are mandated to be able to flex to 120% ICU.

the US is currently at historically low ICU utilization for this time of year.

61% is "you're all going to go out of business" territory as is 66% full hospital use.

can you blame them for mining CARES act money? they'll die without it.

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🌺कैसे बने गरुड़ भगवान विष्णु के वाहन और क्यों दो भागों में फटी होती है नागों की जिह्वा🌺

महर्षि कश्यप की तेरह पत्नियां थीं।लेकिन विनता व कद्रु नामक अपनी दो पत्नियों से उन्हे विशेष लगाव था।एक दिन महर्षि आनन्दभाव में बैठे थे कि तभी वे दोनों उनके समीप आकर उनके पैर दबाने लगी।


प्रसन्न होकर महर्षि कश्यप बोले,"मुझे तुम दोनों से विशेष लगाव है, इसलिए यदि तुम्हारी कोई विशेष इच्छा हो तो मुझे बताओ। मैं उसे अवश्य पूरा करूंगा ।"

कद्रू बोली,"स्वामी! मेरी इच्छा है कि मैं हज़ार पुत्रों की मां बनूंगी।"
विनता बोली,"स्वामी! मुझे केवल एक पुत्र की मां बनना है जो इतना बलवान हो की कद्रू के हज़ार पुत्रों पर भारी पड़े।"
महर्षि बोले,"शीघ्र ही मैं यज्ञ करूंगा और यज्ञ के उपरांत तुम दोनो की इच्छाएं अवश्य पूर्ण होंगी"।


महर्षि ने यज्ञ किया,विनता व कद्रू को आशीर्वाद देकर तपस्या करने चले गए। कुछ काल पश्चात कद्रू ने हज़ार अंडों से काले सर्पों को जन्म दिया व विनता ने एक अंडे से तेजस्वी बालक को जन्म दिया जिसका नाम गरूड़ रखा।जैसे जैसे समय बीता गरुड़ बलवान होता गया और कद्रू के पुत्रों पर भारी पड़ने लगा


परिणामस्वरूप दिन प्रतिदिन कद्रू व विनता के सम्बंधों में कटुता बढ़ती गयी।एकदिन जब दोनो भ्रमण कर रहीं थी तब कद्रू ने दूर खड़े सफेद घोड़े को देख कर कहा,"बता सकती हो विनता!दूर खड़ा वो घोड़ा किस रंग का है?"
विनता बोली,"सफेद रंग का"।
तो कद्रू बोली,"शर्त लगाती हो? इसकी पूँछ तो काली है"।
Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.