Tech / doctors are talking about how to stop collecting and storing information that makes people vulnerable to prosecution in a post-Roe world. Reminder: academic researchers also NEED to plan for this too, right now. A recent tangible example of the problem (1/5)
At #EEID2019, conference participants were invited to participate in the VirScan study, which comprehensively profiled serological exposure to pathogens. A (neat!) virology project focused on dynamics of disease and immunity in human populations. (2/5)
Surveys collected answers to several demographic questions including these three (iirc): 1. How many children do you have? 2. How many times have you been pregnant? 3. Have you ever had a miscarriage / how many times?
(3/5)
A friend points out: this allows you to identify women who have had abortions. There's a bit of disagreement among our friend group: does IRB cover this? does it really matter? is it really a lapse in good judgement? All of that shifts unambiguously in a post-Roe world. (4/5)
Do not collect and store information about whether study participants have had an abortion, even if de-identified in published results. If that's your research focus, I defer to people who actually do that research for a living on best practices. The rest of us: plan ahead. (5/5)
p.s. despite obvious foia / subpoena things, do not presume yourself safe if you’re not at a state university or even based outside the U.S.; private universities will hand things over in a heartbeat, and so will companies that touch your data. GitHub had ICE contracts, man (6/5)
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What's in a public health policy response to Dobbs? I've been keeping track of ideas for 24 hours because it's the only thing keeping me sane 🧵
Before I jump in, two disclaimers 1. I often work on or adjacent to health policy but lack expertise in both MCH and U.S.-specific policy 2. I'm going to try to steer clear of the three big solutions that put responsibility on individuals (vote; donate; be a clinic escort)
(Like most of you, I already do two of those three; and the opportunity to do all three is hampered upstream by the policy landscape)
Also, not including individual actions by researchers / doctors / tech professionals / etc here, but obviously in the mix
As climate change reshapes life on earth, it may also become the single biggest upstream driver of pandemic risk. Our new study in @Nature simulates how 3,139 species will share viruses - and create new spillover risk hotspots - over the next 50 years. nature.com/articles/s4158…
What you should know:
1⃣ Animals (esp. bats) will bring viruses to new places
2⃣ Southeast Asia is a hotspot, but risk is global
3⃣ The process is probably well underway in 2020...
4⃣ ...and worse, won't be stopped by reducing greenhouse gas emissions. nature.com/articles/s4158…
Several years in the making, our study is dense and technical, but the results are horrifying and urgent. Start with the @edyong209 explainer. theatlantic.com/science/archiv…
Basic info you need to know: there's a hump-shaped curve that connects temperature to the rate, or R0 (you might remember this from the pandemic!), of disease transmission for most vector-borne things, including malaria.
If the place you're living starts to the right of the peak in its average temperature, global warming probably means less disease transmission. If you start to the left, global warming means more transmission to a point (and then past it, less transmission again).
Geoengineering is often framed as a tool for climate justice. Today, our new study in @NatureComms challenges that idea, showing that solar geoengineering would create regional tradeoffs and potentially increases in malaria risk worldwide. (1/4) nature.com/articles/s4146…
There are winners and losers, not just relative to possible warmer futures (roughly +3° [L] and +5°C [R] relative to pre-industrial, per AR6) but also relative to the present. A world with climate change and geoengineering isn't the same as a world without climate change. (2/4)
In the +3° scenario (closer to projections of our current trajectory), the global trend conceals regional tradeoffs on the scale of 100m's at risk. In the +5° scenario, geoengineering would essentially put ~1b people back into temperatures permissive of malaria endemicity. (3/4)
@JBYoder@jrossibarra So, I realize this isn't an answer to the spirit of the question, but by the letter, I would actually say something like 95% of SDM studies probably do something like this. Most people use GBIF data agnostic to content (and so historical specimens of unknown age) and a "present"
@JBYoder@jrossibarra The question of how to deal with temporal mismatch is a thorny one, particularly given that we live in a world 1.1 degrees warmer than baseline, but many people are still using WorldClim or, even better, WorldClim 2 (without a reason for choosing one or the other) mismatched from
Given the #ipcc report's focus on maladaptation to climate change, I wanted to reup the most striking example I've ever seen: California's reliance on prison labor for firefighting, and the failure of that "adaptation" when Covid hit the prison system nytimes.com/2020/08/22/us/…
Inmate labor for fighting wildfires is also gaining traction elsewhere, such as in Australia thewest.com.au/news/bushfires…
In the American west, inmates are at the frontlines of climate adaptation - they might be protecting your home or loved ones, without you even knowing it - while also being on the frontlines of climate impacts, e.g., from valley fever