Google’s Population Dynamics Foundations embeddings dataset is helping bring more geographic precision to public health. See how @HarvardMed, @MountSinai & @BostonChildrens researchers used PD-Foundations for ZIP code–level vaccination coverage estimates: https://t.co/BtBZOmktJz
Google’s Population Dynamics Foundations embeddings dataset is helping bring more geographic precision to public health. See how @HarvardMed, @MountSinai & @BostonChildrens researchers used PD-Foundations for ZIP code–level vaccination coverage estimates: https://t.co/BtBZOmktJz
The Atlantic: The Only Thing That Will Turn Measles Back / A rebound in vaccination—which may depend on government support
by Katherine J. Wu @TheAtlantic#measles
https://t.co/irgqfjKSk9 gift link
Measles outbreaks are on the rise, but gaps in data can make it difficult for public health workers to reach vulnerable populations.
To help stop further spread of the disease, researchers at Harvard, Mount Sinai and @BostonChildrens used Google's Earth AI to fill data gaps and estimate vaccination rates with "superresolution" — as deep as the zip code level — so they could find hotspots of undervaccination that correlate to measles outbreaks.
Digital surveillance + AI enabled this level of granularity — hopefully helpful for both future disease monitoring/health survey and public/household decision making. Coolest project I have done so far!
For the first time, a map has been created that allows people to type in their ZIP code and see an estimated percentage of their neighbors who have been vaccinated against measles, which can help determine the risk of the disease in their area.
https://t.co/6Rfk7Uve1x
Glad this paper with @guido_imbens is out in the JEP.
The LaLonde paper has had a big impact on my academic journey and continues to teach us about the challenges and possibilities of conducting credible inference using nonexperimental data. https://t.co/kfRlFXxULm
Many thanks to Tim for the tireless editing and suggestions. @TimothyTTaylor
We are excited today to launch the T-MSIS Analytic Files (TAF) Analysis Reporting Checklist, which is designed to guide reporting of research using the TAF, the new generation Medicaid claims data.
See @JAMAHealthForum: https://t.co/8dbaGeM5zk
Links to key resources⬇️
1/N
Job opportunity - come and join our incredible research team led by @MariaSteenland as a health data analyst - partial or full telework will be considered. Happy to answer any questions over email, info here: https://t.co/2kMm46AcEt
I’ve long wondered how much cost sharing actually gets paid.
Our new paper in @JAMAHealthForum uses unique data to give an answer—about half and likely falling.
My job-market paper is finally published, a mere 10 years after I graduated!
👇See below for a thread about the results, and a link to the VoxDev piece about it and a super-brief podcast about the paper
Congrats 🎉 to Economics Prof. Shooshan Danagoulian @Shooshan5 on being elected treasurer of the American Society of Health Economists! @ASHEcon is the leading scientific society dedicated to health economics. It publishes the American Journal of Health Economics. #WarriorStrong
Microsoft claims their new AI framework diagnoses 4x better than doctors.
I'm a medical doctor and I actually read the paper. Here's my perspective on why this is both impressive AND misleading ... 🧵