🧵 1/ In Feb 2021, well-conducted national serosurvey found ~25% of India had #SARSCoV2 antibodies

Didn’t stop Twitter “experts” from concluding India was at herd immunity & should be fully opened

High ranking & everyday people alike bought into this fiction…
🧵2/

These scientific-sounding lies lowered rates of vaccine uptake & NPI. After all, prominent people said everyone already had protection from infection & cross-reactivity w other viruses

These people were extremely wrong bbc.com/news/world-asi…
🧵 3/ In India & the rest of South Asia now, we see that words matter, that scientific-sounding distortions of reality matter

I remain enraged & heart-broken bc that scale of outbreak absolutely didn’t have to happen in a vaccine-exporting & scientifically rich country in 2021
🧵4/ One of the more disturbing things I see on here is smart people willing to misrepresent data & leave out inconvenient data to make a point

I see this from some people with whom I vehemently disagree and even with those w whom I mostly agree
🧵5/ In 2020 I wondered if people didn’t realize that the evidence was shakier than their tweets. But after multiple convos w dif people, I see it’s a strategy

When we are convinced we’re on side of good, it’s easy to justify embellishment or shading the truth to make a point
🧵6/

I believe that facts matter

I also believe that facts aren’t enough. Good policy is facts filtered through values, practicality, past experience, and public buy-in

But the facts do matter
🧵7/ And for those who don’t care much about the staggering sickness and death in the Subcontinent, theres another reason to care: the unchecked outbreak in India likely facilitated the explosion of the delta variant globally. Letting viruses run unchecked is not benign.

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More from @WhitneyEpi

22 Jun
1/ Good overview of challenges of doing “big data” health care research in US. For instance, nice description of basic pros and cons of insurance claims vs #EHR health care records

HT @ABatemanHousetechnologyreview.com/2021/06/21/102…
2/ But the article has a prematurely triumphant tone at the beginning (and in the default Twitter tagline). N3C is great but limited, as the article does make clear
3/ And it’s not totally novel. But the novelty to me is that it’s

a non-“federated”* model

*not* run by for-profit companies,

so the data are accessible to the public for analysis

*this term is explained in article
Read 6 tweets
22 Jun
1/ For those wondering what the heck is happening in North Carolina, it’s a foreseeable train wreck that left the station in December 2016

(I could go back further to 2010, but let’s stay focused on state boards for now) npr.org/sections/thetw…
2/ In 2016, Republicans won NC’s electoral votes for US presidency and kept control of the gerrymandered state legislature (“surgical precision”, the Appeals court said).

But Dem Roy Cooper won the governorship…
3/ So fine, it would be split-party control (which lots of people prefer as an affirmative good)…
Read 8 tweets
19 Jun
Retweets & comments on Bloomberg article are great 😁

A good #epitwitter teaching example: In research, we can frame causes as 1) personal biological deficits or 2) structural systems that (for some reason!) don’t accommodate common life processes mostly affecting women 🤔
2/ Meanwhile accommodations for sexual harassers, people who frequently have violent outbursts, who fail to pull their weight re: tedious administrative work, etc, are so culturally ingrained in many orgs that they are not even written policy…
3/ These kinds of off-the-books, unwritten, but very real, accommodations are expensive (eg, lawsuits, revolving door of talent, decreased productivity of others) but often framed as unforeseeable and absorbed as a cost of doing business
Read 6 tweets
17 May
🧵1/ I find #COVIDvaccine focus groups like this fascinating. I was struck by the broad distrust of physicians in this group of reproductive-aged women...
🧵2/ I study this kind of population a lot in my #gynhealth work through #EHR medical systems data. As a social epidemiologist, it’s a cool population to study in EHR data bc so many have frequent contacts with the medical system through routine gyn and pregnancy care...
🧵 3/ So you really get a peek into a broad cross-section of the population, unlike other kinds of EHR research.
Read 9 tweets
15 May
🧵 Thread on Toronto strategy to target #COVID19 vaccination to hardest hit areas - it can be done
“To be able to get high volumes like that in a one-day setting, you need to have proper outreach...We rely heavily on our community partners to flyer the apartment buildings and, you know, contact local groups or agencies to make sure that they’re aware of the pop up as well.”
Read 5 tweets
14 May
🧵1/ Well, life comes at you fast, amirite?! 😂😩*sigh* cnn.com/2021/05/13/hea…
🧵2/ I’ve still been processing the response to CDC’s change in guidance about *outdoor* masking! Remember that?! npr.org/sections/healt…
🧵3/ In that case, I thought guidance was pretty sound bc that’s basically how I’d been living even before I was vaccinated. Outdoor transmission risk so low. My family wore masks outdoors when close to people (playgrounds etc) or long face-to-face talking or just as a courtesy
Read 25 tweets

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