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We're still doing this Galileo schtick? Absolutely the worst model for the science-authority relationship, but scientists (well, at least physical scientists) still love it.  More to come...

I've found myself returning to thinking about/around/within interstitial spaces of care, particularly within hospital settings, interested in how viral activity unsettles the ideas we have around space and boundaries, both biological and infrastructural. In COVID-19 pathology and response, the inbetween, the interstitial, become sites challenge and possibility. With COVID-19, we see an acknowledgment of once forgotten spaces quite obviously, with hospital atria and hallways being reconfigured into patient care spaces, makeshift morgues established in refrigerated trucks, and hospitals spilling out into neighboring streets and parks. More than ever, we see how hospitals are simultaneously bounded and unbounded--the most stable and unstable sites for care. Along this line of thought, what might thinking through hospitals as heterotopia of crisis and deviation afford?

Foucault outlines six principles for heterotopic spaces

The heterotopia is capable of juxtaposing in a single real place several spaces, several sites that are in themselves incompatible

Heterotopias are most often linked to slices in time—which is to say that they open onto what might be termed, for the sake of symmetry, heterochronies. The heterotopia begins to function at full capacity when men arrive at a sort of absolute break with their traditional time. This situation shows us that the cemetery is indeed a highly heterotopic place since, for the individual, the cemetery begins with this strange heterochrony, the loss of life, and with this quasi-eternity in which her permanent lot is dissolution and disappearance.

Heterotopias always presuppose a system of opening and closing that both isolates them and makes them penetrable. In general, the heterotopic site is not freely accessible like a public place. Either the entry is compulsory, as in the case of entering a barracks or a prison, or else the individual has to submit to rites and purifications.

First: Another list on another google doc and just looking at it https://docs.google.com/document/u/0/d/1UTQvW_OytC37IatMNR5qJK7qKfSylNpI2fT3pdteVZA/mobilebasic gets me started: we're all barely keeping up and just trying to direct the firehose into some readily available container like a google doc because we can't drink any more and it's the easiest thing to hand.  I'm happy with the dangerous "we": all we humanists and all them scientists are trying to do kaelidoscopics at speed, saving the excess for future analysis while trying to do the analysis right now and get something in print right now which is aleready too late.  "They" have better containers (infrastructure) and that matters, but I think it's important to note the shared space of urgency and excess and ask about the effects these have on analysis, ours and theirs and: ours.

It has to be hurried, the only take worth anything these days is the hot take, for scientists, science journalists, science analysts. An exaggeration, but I'm rushed. We know that air pollution (two words harboring such complexity and excess on its own: PM2.5, ozone, NOX, etc.etc.) impacts health in numerous ways, in and beyond our repiratory system; we know that those physiological logics are compounded by cultural logics, in their complexity and excess: race poverty geolocation healthcare access nutritional needs etc. etc. A kaleidoscopic intersectional analysis that, to get good reliable outcomes, takes time.

A need for generosity.

So as I make my way down the list in the google doc and read that some group or some lab shows the COVID-19 intersects with air pollution and makes for worse outcomes for African Americans I'm predisposed toward belief, for many good reasons, compounded by the rush. And the data and the correlations between, say, increased mortality in areas of northern Italy where there are higher levels of airpollution is certainly believable, compelling -- for NO2 

https://www.sciencedirect.com/science/article/pii/S0048969720321215?via%3Dihub

and air pollution generally

https://www.sciencedirect.com/science/article/pii/S0269749120320601

That kind of crunching of large data sets seems believable -- and has been stamped as peer reviewed. So what do we do with this article in The Conversation

https://theconversation.com/air-pollution-covid-19-and-death-the-perils-of-bypassing-peer-review-136376

critical of a Harvard School of Public Health study available as a preprint on medrxiv --

https://www.medrxiv.org/content/10.1101/2020.04.05.20054502v2

-- that concludes that "an increase of only 1 μg/m3 in PM2.5 is associated with an 8% increase in the COVID-19 death rate (95% confidence interval [CI]: 2%, 15%)"?  The Canadian researchers in The Conversation are not convinced:

"It is almost impossible to try to adjust for the influence of all these factors, as this study tried to do, because the interactions between these variable are so complex. Accounting for these factors could only be done in studies using information from individual-level information."

"Proper peer review must not be bypassed — and the onus for respecting its role falls not just on journalists but also on scientists to communicate the correct information accurately."

I'm suspicious -- and if I had more time I would be more suspicious of my suspicions -- for two reasons: one, a lot of those studies on the google docs list are preprints.  But more importantly, the call for "individual-level information."  What does this mean? I don;t think anyone is working with "individual level information" in all of these studies, so why does this one become a target?

1. Because it's Harvard PH, of Six Cities study fame, first linking air pollution to increased mortality and the key reference point for US air pollution regulation. There's a long history of the oil industry and their scientists just trying to pick holes and cast doubt on these studies out of Harvard.

2. The criticism smacks of the most recent devious strategy of the air regulation opponents, which is to call for individiual level data in epidemiological to be released in the name of "transparency." Which can't be done.

So who are these Canadian guys and are they up to something more than "just raising questions and being good scientific skeptics"?

UPDATE 1 HOUR LATER:

So I looked them up: Mark Goldberg was a member of the Reanalysis Team of the Health Effects Institute that validated the Six Cities Study: 

https://theasthmafiles.org/content/hei-validation-six-cities-study

Unlikely, then, that he is some undustry beard...

I'm currently based in Troy, NY where I recently completed a PhD in Science and Technology Studies.  I'll soon be living in NYC to attend medical school. I can be reached at amorgan14[at]gmail[dot]com

I've long been interested in the disaster of routine medical care in the U.S. healthcare system. As far as COVID-19 is concerned, I'm particularly interested in how the long-term health impacts of intensive care are conceptualized and communicated (including Post Intensive Care Syndrome (PICS)) and the tensions between acute and chronic illness, broadly. 

How is the aftermath of COVID-19 crisis being imagined in different settings? How is this shaping beliefs, practices, and policies?