🧵2/10 This quote from @oni_blackstock (starts with “In our community…”) especially hit powerfully. I’ve rarely felt my experience of the pandemic articulated with such precision. bit.ly/3DikPP3
🧵3/10 Scholars like @JessicaCalarco have done beautiful work describing the key role that US women play as “family health managers” and how the pressure of that role has often translated into vaccine skepticism, etc, especially among White politically conservative women in US
🧵4/10 But the @ChabeliH article explores the another side of these gendered roles:
What happens when that individualized responsibility is channeled outward, further out than one’s family?
🧵5/10 Native women fighting to keep their elders (cultural and linguistic reservoirs, treasures) safe…Gay men who feel compelled not to let another 🤬 virus ravage their communities…Black & AAPI & Latina daughters & aunties & teachers executing so many community partnerships
🧵6/10 This is the day-in and day-out work I see, that’s been happening over the course of pandemic - sometimes with more institutional and govt support, sometimes with less
🧵7/10 It’s important but mostly uncompensated and publicly ignored work. (They are too busy doing the work to be posturing on Twitter. 😏)
🧵8/10 But it’s not always pretty, and it is definitely not without cost
@oni_blackstock: “It’s almost like we have this burden of having to address and mitigate the distrust that we did not create.”
These (mostly) women are bone-deep exhausted. Proud and effective—but so tired
🧵9/10 And a note to my sisters from White Christian conservative backgrounds, women like @ersmith2016 and so many others, women who just can’t stop sharing the Gospel, earthly consequences be damned:
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
🧵 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
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
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
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)…
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
🧵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.
“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.”