@cristianmeli.bsky.social
Population health scientist · Senior lecturer at the University of Fribourg, Switzerland · Cyclist and theater lover · Papà. Social & life course epidemiology Monitoring of chronic diseases & mortality Causal inference from observational data Data science
ICE is no longer an immigration agency.
It is a paramilitary force, backed by a parallel prison system, answerable to the president alone.
What’s happening in the U.S. isn’t a deviation—it’s an infrastructure. And it won’t end with Trump.
civiceconomist.substack.com/p/ice-trumps...
🧵L’Europa non sta censurando nessuno. Sta provando a impedire che la manipolazione digitale inquini il dibattito democratico.
Da quando la Commissione Europea ha multato X, gli oligarchi russi e americani gridano alla censura.
Ma la realtà è completamente diversa. 👇
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Explore this gift article from The New York Times. You can read it for free without a subscription. www.nytimes.com/2025/03/16/o...
16.03.2025 21:01 — 👍 2 🔁 1 💬 0 📌 0
John Snow cholera map and John Snow in a party hat
Happy (early) Birthday to the father of Field Epidemiology! John Snow, who turns 212 on March 15th, is legendary for using disease mapping to determine the source of the London cholera outbreak in 1854. #JohnSnow #Epidemiology
14.03.2025 16:02 — 👍 47 🔁 18 💬 2 📌 3
Life course #epidemiology has changed the way we understand the causes of chronic diseases 😎 Do you want to know more⁉️ Read this review in @thelancetph.bsky.social @rosevdlinden.bsky.social @stephane-cullati.bsky.social @cristianmeli.bsky.social #PopHealthLab
www.thelancet.com/journals/lan...
🧵 I nostri media non si sono accorti che gli Stati Uniti sono in transizione dalla democrazia a un regime autoritario.
Non il tipo di regime in cui esiste un solo partito e gli oppositori vengono imprigionati, esiliati o uccisi.
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There will be nothing left of biomedical research in the US when Trump is done. Just think about that and anytime you or someone
you love has been sick or dying. www.science.org/content/arti...
Join us for the Causal Inference for the Health Sciences Symposium on March 20th at the University of Zurich!
A day of insightful talks & networking with experts in causal inference & health research.
Program and registration for in-person or online attendance: projects.unifr.ch/pophealthlab...
Signs on McDonalds
McDonald's is overturning council attempts to prevent new fast food outlets by claiming they will encourage healthier lifestyles, reveals a BMJ investigation.
It shows the firm has won planning appeals in some of the most deprived areas of England
www.bmj.com/content/388/...
A chart in three parts showing data on child mortality to make the points that "The world is awful. The world is much better. The world can be much better. All three statements are true at the same time."
The world is awful. The world is much better. The world can be much better.
All three statements are true at the same time. Understanding this is key to solving big global problems.
We believe data & research can help us understand both the problems we face & the progress that’s possible. 🧵
The world’s 280 million electric bikes and mopeds are cutting demand for oil 4x more than electric cars due to their staggering uptake in China and elsewhere.
01.12.2024 18:09 — 👍 2134 🔁 708 💬 47 📌 73During 2020, I read through Robins 1986 and did a thread as I went through. That thread disappeared after I left (but lived on in the archive I saved).
I finally put it together and host the original thread on my website now
pzivich.github.io/pages/robins...
For those who still remember Wayne's World
29.07.2024 08:08 — 👍 3 🔁 1 💬 0 📌 0
Educational inequalities in multimorbidity at older ages: a multi-generational population-based study
doi.org/10.1093/eurp...
Curious to learn more about epidemiology? You’re in luck! Our book is coming soon to a bookstore near you 🥳🥳
More info here: global.oup.com/academic/pro...
Before we calculate these different treatment effects with the realized outcomes instead of the hypothetical potential outcomes, let’s look really quick at the practical difference between the true ATE, ATT, and ATU. All three estimands are useful for policymaking! The ATE is −15, implying that mosquito nets cause a 15 point reduction in malaria risk for every person in the country. This includes people who live at high elevations where mosquitoes don’t live, people who live near mosquito-infested swamps, people who are rich enough to buy Bill Gates’s mosquito laser, and people who can’t afford a net but would really like to use one. If we worked in the Ministry of Health and wanted to know if we should make a new national program that gave everyone a free bed net, the overall reduction in risk is −15, which is probably pretty good! The ATT is −16.29, which is bigger than the ATE. The effect of net usage is bigger for people who are already using the nets. This is because of underlyi
Mirrored histogram showing “weird” parts of the population: treated people who were unlikely to be treated, and untreated people who were likely to be treated
Mirrored histogram showing pseudo-populations of treated and untreated people that have been reweighted to be more comparable and unconfounded
New blog post! Have you (like me!) wondered what the ATT means and how it's different from average treatment effects? I use #rstats to explore why we care about the ATE, ATT, and ATU + how to calculate them with observational data! #polisky #episky #econsky www.andrewheiss.com/blog/2024/03...
21.03.2024 13:50 — 👍 114 🔁 39 💬 8 📌 7Apparently this Annual Review of Dev Psych issue is open access, so this paper -- wonderfully led by Dr. Gabe Schwartz -- is available: www.annualreviews.org/doi/full/10....
re causal inference in lifecourse epi.
#EpiSky
