1/ This article does a good job presenting several foundational public health tenets that I’ve felt frustration at not communicating earlier and better:
A disease that hurts a small % of a huge population can hurt a LOT of people
Small increases in risk for a person can seem relatively inconsequential but still have big, longterm effects on a large group of people
3/ It’s a mind-bending way of thinking that I see people grappling w in real time re: COVID
That self-learning is cool to watch from a teaching & learning perspective but scary when critical decision-making depends on understanding the implications of this seeming contradiction
4/ Related: In an uncontrolled pandemic, with individual risks of poor outcomes between 0 and 1, it’s uncertain whether the bad thing will happen to any one person; but it’s a sure thing that bad things will happen to many someones if there’s no control
5/ #2 Idea well articulated in the article: the structure of social networks matters
Places with same vax rate but different clustering will have different outbreaks:
* vax is pretty random in popn
* just older people vaxed,
* some areas high vax, others low
All different
6/ #3 Biology is important but it’s not everything. Their section “The people at greatest risk from the virus will keep changing” tries to get at a similar point
7/ In epidemiology, Phelan and Link’s Fundamental Causes theory posits that, when we know nothing about how to prevent or treat a disease, biological susceptibility is the main driver of sickness and often risk is pretty broadly distributed…
8/ But, once we know that high-quality masks, social distancing, vaccines, early treatment w synthetic antibodies, etc, prevent disease - *and* knowledge about/access to these is not equal - risk splinters in ways that don’t necessarily track w innate biological susceptibility
9/ That’s a point I was making here in December 2020, a point that I believe is still relevant today theinsight.org/p/the-vaccine-…
10/ Side note: Having more prevention and treatment resources also makes it more complicated to interpret studies of risk of infection and sickness in 2021 vs in 2020:
There are even more confounders now
11/ I’ll end by underlining points 2 and 3: How we live & how we organize society matters.
In the US, a dominant mode of thinking is biological determinism: your individual genes, your weight, yr levels of this vitamin or that vitamin - that’s what determines your well-being?
12/ But I know this isn’t whole story: I pay attention to what people do more than what they say…
I watch how people spend their money & time. It shows that we know that money matters, our standing in the hierarchy matters, and social belonging matters. A lot.
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🧵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
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.