Marc Lipsitch Profile picture
Oct 19, 2020 12 tweets 3 min read Read on X
This thread by @AlexBerenson distorts my work in a way that can only be willful, given that others have made the same arguments in the past on twitter and I have clearly refuted them. threadreaderapp.com/thread/1318176…
He takes a commentary I wrote with @ted_h_cohen about Listeria -- a bacterial disease we get typically from food -- that suggested (citing another paper -- this was not original research) that a lack of herd immunity to listeria could be leading to increased case numbers.
(of symptomatic Listeria infection). It also mentioned the idea that rubella vaccines used in the wrong way could increase severe (congenital) rubella through modest amounts of herd immunity that delay but do not prevent infection, increasing its incidence in pregnant women.
And it gave some other examples of how herd immunity could be counterintuitive. It notably talked about diseases that had been long-established in the community, and how failing to understand herd immunity (from natural infection or vaccines) could produce unintended effects.
The commentary was not for or against herd immunity, any more than one can be for or against rocks. Herd immunity is. It can (for some infections) be generated by natural infection. It can (for some infections) be generated by vaccines.
All else equal, it's better to generate herd immunity by vaccines because infections are dangerous (some are deadly) and approved vaccines are safe. Playing "gotcha" from finding discussions of herd immunity's benefits by epidemiologists reveals complete lack of understanding.
Of course we think it has benefits. Now, for COVID-19 there is a consensus of every reputable medical and public health organization that getting to herd immunity through natural infection a) may be impossible and b) if possible is worse than the alternative
It may be impossible to get herd immunity through natural infection because coronavirus immunity is typically short lived and partial, and there are signs of the same for SARS-CoV-2, though evidence is still very limited.
Getting there through natural infection is worse than delaying and -- if things go well -- getting it through a vaccine. Why? because people die from the infection, lots of them and not only those we can predict. And because we can't shield effectively even those we can predict
It's very simple. Science is about using concepts and data thoughtfully to infer how particular things will work in the world. Ideology is about finding some word or concept and unthinkingly applying it the same way each time. Herd immunity is, and it can be a mix of good & bad
Bacteria that we get from food and have been with us for centuries are different from viruses that just emerged this year. You can play games saying "gotcha" -- you said herd immunity was good in the past. Or you can do science and even responsible reporting.
Here as elsewhere @AlexBerenson chose gameplaying.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Marc Lipsitch

Marc Lipsitch Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @mlipsitch

Mar 8, 2023
We are readvertising the opening for a branch chief in the Predict Division at the Center for Forecasting and Outbreak Analytics @CDCgov usajobs.gov/job/711548000 If you applied previously and are NOT a US Govt employee PLEASE REAPPLY. New apps welcome too.
These are two positions to lead the Real Time Monitoring branch in Predict which will produce disease scenario models, forecasts, and nowcasts and the Analytic Response Branch producing custom analyses to aid specific decision making
We have begun building a great team to provide analytic advice to the US government and state and local partners. Looking for exceptional epidemiologists/disease data experts/modelers to lead these two teams.
Read 4 tweets
Jan 30, 2023
Looking for leaders in infectious disease modeling and analytics for roles as Branch Chiefs in the Predict Division of @CDCgov Ctr for Forecasting and Outbreak Analytics usajobs.gov/job/701324000 posted as Supervisory Data Scientist GS-15. Seeking great people to join a great team!
For those new to applying to federal jobs, follow the tips here dol.gov/agencies/ilab/… and be VERY explicit about how you meet each qualification so that an HR professional can verify you do.
Here is the one that is in the health scientist track -- same positions can be filled through either announcement usajobs.gov/job/703101000
Read 4 tweets
Oct 20, 2022
I’ve been saying that one flaw of the review system for ePPP experiments is that when scientists— for good scientific reasons— change their plans there is no review of the new plans once the original proposal approved. Case in point the Boston Pub Health Comm approved…
BU’s plans in March 2020. The experiment generating all the discussion could not have been planned then bc Omicron hadn’t been observed yet. Antigenic variability was still not a clear threat in most scientists’ minds Even the type of experiment may not have been conceived.
Read 4 tweets
Oct 19, 2022
So here's my take on the BU experiments. I know you can't say this on Twitter, but it is my current state of understanding, possibly imperfect, subject to revision with better understanding, and trying to make sense rather than condemn opponents.
First, these are unquestionably gain-of-function experiments. As many have noted, this is a very broad term encompassing many harmless and some potentially dangerous experiments. GOF is a scientific technique, not an epithet. The wildtype "backbone" virus gains immune escape...
...from the insertion of the Omicron spike, in ways that the paper describes in detail. That is gain-of-function.
Read 32 tweets
Jul 18, 2022
Want to help shape US outbreak public health #RiskCommunications? More positions now open at the @CDCgov Center for Forecasting and Outbreak Analytics in our Inform Division
Risk Communications Team Lead (Lead Health Communication Specialist), grade 14: usajobs.gov/job/665886900
Also in Inform:
Health Scientist, grade 13: usajobs.gov/GetJob/ViewDet…

Health Scientist, grade 14: usajobs.gov/GetJob/ViewDet…

Public Health Advisor, grade 13: usajobs.gov/GetJob/ViewDet…

Public Health Advisor, grade 14: usajobs.gov/GetJob/ViewDet…
Also this one closes Wednesday (2 days!) Inform Deputy Division Director which is posted as a Supervisory Health Scientist (Communication), grade 15. usajobs.gov/job/665745100
Read 4 tweets
May 24, 2022
Thrilled to announce that our data science (modeling/analytics) jobs are now live for the @cdcgov Center for Forecasting and Outbreak Analytics:
closing June 3 so apply now!
Team lead (GS-14) usajobs.gov/job/655773600
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(