Dvir Aran Profile picture
22 Feb, 12 tweets, 4 min read
My thoughts on the @Pfizer+@Israel_MoH vaccine effectiveness study (you can call it open peer-review if you like). In the study, they show vaccine effectiveness (VE) of >90% for infection, symptomatic, hospitalization and severe disease by comparing to non-vaccinated. =>
1. Control – we know very well that those vaccinated (especially early) are from different socioeconomic groups. @MDCaspi showed it nicely. Those same groups also have higher infection rates. So, naively comparing to non-vaccinated is highly biased.
medrxiv.org/content/10.110…
In my analyses, I estimate this bias at 20-30%. Correcting for this is possible and will reduce a VE of 90% to ~87%. Not such a big deal. However, I really don’t understand why in the study they chose not to control for it.
medrxiv.org/content/10.110…
2. “Healthy bias” – they also do a comparison (results are not presented clearly) to a negative-control group, vaccinated group in days 0-6, where no VE should be seen). They note that they see **higher** infection rate in those days in the vaccinated group.
They use this result to negate the possibility of “healthy bias” – if you are sick before the vaccine you will not come to get your jab. But this is weird for at least three reasons:
A. There has to be “healthy bias”. It's an inherent bias, not something you can have or not.
B. The data MoH shared with the public is of days 0-13, so I can’t test it, but from all I heard from @RanBalicer and @KalksteinNir, who has access to HMO data (and cover ~80% of Israel), there is a very strong “healthy bias”.
C. See point 1. The vaccinated group has lower incidence rate. Even without healthy bias, the vaccinated group should have lower levels of infections.

I don’t know how to reconcile this, but maybe I am missing something.
3. Vaccine protects from infection – everyone is talking about this issue. I'll try adding my 2 cents. Using epidemiological questionings the data shows that ~1/3 of infected are symptomatic (side note – isn’t this much lower than expected?).
The logic they use to suggest that the vaccine protects from infection is that there is no difference in VE between all “positives” and only those “symptomatic”.
But that’s pretty weak. In theory that might be true, but the vaccinated people are exempt from getting tested in Israel (7+ after the 2nd dose, which is what they are looking at in this study).
Also looking at the numbers they actually see ~25% symptomatic in vaccinated compared to 34% in non-vaccinated. I would say that they are seeing more asymptomatic people in the vaccinated group, suggesting the protection from infection is ~2/3 of symptomatic disease.
In summary, I think that something is weird with the data. If the raw data used for this study would be shared with the public it would be much easier to get answers for the questions raised...

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More from @dvir_a

18 Feb
Estimating the vaccine effectiveness. Take 4.
A bit late to the party, after Clalit, Maccabi, and the MoH+Pfizer all show cased their results of the vaccine effectiveness. Yet, I am happy to present an updated version of my aggregate-level analysis.
1st draft preprint available on #medRxiv and hope to replace it with a new version soon.
medrxiv.org/content/10.110…
The main difference is an improved formula to calculate expected daily incidence of cases. The problem is that cases are “eliminated” because of the vaccine, causing underestimation of expected daily cases. After hard work, with help from @geller_mic we can now correct for it.
Read 11 tweets
11 Feb
איך יוצאים מהבלאגן? כולנו כבר מכירים את ה-R החמקמק ויודעים שהמטרה היא להוריד אותו מתחת ל-1. בעקבות המחקרים של @erlichya ו-@RoyKishony שמספקים עדות שהחיסון מקטין את ההעברה של הנגיף רצינו לבדוק בתרחישים שונים כמה אחוז צריכים להיות מחוסנים כדי שR ירד מ1. פוסט משותף עם @geller_mic
בנינו מודל פשוט שמחשב את ה-R האפקטיבי כפונקציה של מספר המחוסנים. בהינתן R התחלתי של 1.86 (לפני הסגר היינו על 1.24 ועם הוריאנט הבריטי שמדבר ב-50% יותר מגיעים לערך הזה) וערכים שונים לסיכויי ההעברה של הנגיף (t) אפשר לראות מה יהיה ה-R החדש באחוזים שונים של מחוסנים.
לפני המודל הזה אנחנו כבר היום מתקרבים מאוד ל-R=1 במצב של משק חצי פתוח כמו שהיה לפני הסגר האחרון. נראה שמספיקים 40-60% מהאוכלוסיה מחוסנים בשביל זה. זה מעודד.
Read 5 tweets
10 Feb
עדכון שלישי שלי של הערכת יעילות החיסון. לא אופטימי כמו הפוסטים הקודמים. הנתונים מבוססים על מידע עד ה-9 לפברואר. ממצאים:
1.אין הגנה עד יום 21. רואים הגנה רק מהיום ה-21 (או המנה השניה).
==>
2.הגנה מפני אימות אחרי המנה השניה (לא להתבלבל עם הדבקה או עברה): 60-74% לבני 60+, 75-78% לבני 60-.
3.הגנה מפני אשפוז אחרי המנה השניה: 71-82%. הגנה מפני מחלה קשה: 69-77%.
להסבר על המתודולוגיה - github.com/dviraran/covid…
(מעודכן בנתונים עד ה-5 בפברואר)
Read 7 tweets
10 Feb
Third update of my estimations of vaccination effectiveness. Not as optimistic as my previous posts. Data is based on cases of vaccinated individuals up to February 9th. Findings:
1. No protection up to day 21. We only see protection from day 0 of the 2nd dose. ==>
2. Protection after 2nd dose from being positive (not to be confused by transmission): 60-74% for ages 60+, 75-78% for ages 60-.
3. Protection after 2nd dose from hospitalization: 71-82%. From severe case 69-77%.
For an explanation of the methodology please take a look at github.com/dviraran/covid…
(updated with data up to Feb 5th)
Read 7 tweets
5 Feb
כמה החיסונים יעילים? גרסת הפרי-פרינט. אמלק: מאוד יעילים. 66-85% להדבקה, 87-96% למחלה קשה. הנה שרשור קצר על האנליזה החדשה ==>

github.com/dviraran/covid…

לשרשור באנגלית -
האנליזה הזו התחילה בציוץ על היעילות של החיסונים לפי הנתונים שמשרד הבריאות פרסם על החולים שהתחסנו. הציוץ הזה הגיע ליותר מ-250 אלף צפיות ודחף אותי לפרמל את האנליזה בצורה קצת יותר אקדמית.

בעזרת הנתונים היומיים על נדבקים וחולים ומספר המחוסנים חישבתי את מספר המקרים הצפויים ללא חיסונים. בעזרת המידע על חולים מחוסנים אפשר לחשב את היחס בין המצוי לצפוי.
Read 14 tweets
5 Feb
Estimating real-world COVID-19 vaccine effectiveness in Israel! Now preprint version. TL;DR: Very effective. 66-85% for infection, 87-96% for severe disease.

Below a tweetorial about this new analysis —>


github.com/dviraran/covid…
This started when I tweeted the numbers provided by the ministry of health (MOH) regarding cases of vaccinated individuals. This tweet had more >250K views, so decided it might be better to formulate the analysis and provide full methodology.
Using the daily incidence of cases and daily vaccination counts and developed a formula to quantify the expected number of cases based on those numbers. I then combined it with observed counts provided by the MOH to calculate the effectiveness.
Read 15 tweets

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