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Ali Ruth
@AliRRuth
Data Scientist, U.S. Dept of Labor | PhD & | health policy, ethics, & public health. | gov data nerd. big fan of #rstats
Marylandlinkedin.com/in/aliruth/Joined September 2020

Ali Ruth’s Tweets

See our Forefront article out today! The *insurer-contributed* price transparency data is new and complicated. We take a first look and summarize findings, limitations, and uses. Great team with: Yang Wang, Frank Xu, Yuchen Wang, Gerard Anderson, and
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With Yang Wang, Jianhui (Frank) Xu, @Mark_Meiselbach, Yuchen Wang, & Gerard Anderson, our @Health_Affairs Forefront article: healthaffairs.org/content/forefr
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This Sunday marks 3️⃣ 0️⃣ years of the Family and Medical Leave Act - landmark legislation that has helped millions of America's working families. Help us celebrate! ▶️ Read worker stories: dol.gov/fmla30 ▶️ Follow for facts: ▶️ Join the conversation: #FMLA30
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this is a wild read
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If you're looking for good examples of "what not to do" for your data science classes, this lawsuit from JP Morgan Chase is a solid case study (details on p. 4). documentcloud.org/documents/2357
There's been a growing amount written on lessons learned for #COVID from the #HIV response. Here, we look at the opposite - what can the HIV response learn from COVID?
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Ahead of #WorldAIDSDay, a new @GlobalHealthBMJ commentary by IAS leaders reviews what #HIV response can learn from #COVID19 including: ⚡Accelerated product development 🆕Innovative clinical trial design 🧰Diagnostic innovations 📊Use of real-time data bit.ly/3AWkvGb
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Perhaps the zaniest elections results webpage is Anderson County, TN, which has results that move around on the page... (fortunately I am not assigned to this one 🤪)
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For the past couple of weeks we have been researching web pages & writing scripts that will pull results in real time from county election board websites - the most interesting part has been seeing how much variation there is in how counties present their election results
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"surely what Americans want the most right now is to buy and learn a completely new piece of technology that will enable them to go fencing with Mark Zuckerberg in a fake reality!" -a company that collects 4 petabytes worth of data on people per DAY
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🧵I want to share some thoughts about reporting on long COVID and other complex chronic illnesses. (e.g. below) This is a thread about the ethos behind these pieces, and how I’ve approached interviewing, writing, and the rest of it. 1/
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🚨I wrote about “brain fog”—one of the most common & disabling symptoms of long COVID (and many other pre-pandemic conditions), and one of the most misunderstood. Here’s what brain fog actually is, and what it’s like to live with it. 1/ theatlantic.com/health/archive
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Inadequate data on MPX infections (or any other infectious illness) is a problem. Makes it harder to appropriately allocate countermeasures, & opens room for misinformation/scaremongering about who the “missing“ cases are. Good data should be a top priority.
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In the latest @CDCgov Technical Report on MPX, an important and concerning point regarding what we can know about risk: the proportion of cases (reported by jurisdictions) missing gender & sexual history data has increased over time. 70% are missing data! cdc.gov/poxvirus/monke
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Still very grateful for spending two years after college as a postbac fellow --- an incredibly supportive place to start or continue a research career Highly recommend their postbac or postdoc fellowship!!
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Call for applicants! We welcome interested and qualified candidates for fully funded two-year postbaccalaureate and postdoctoral #bioethics research fellowships. Deadlines: Postdoc: 12:01 AM January 1 EST Postbac: 12:01 AM January 16 EST Apply here: bioethicsapps.cc.nih.gov/bioethicsApp/
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New paper w/ ! Algorithms may alter how govts decide who needs help, but contrast often isn't algorithm vs. human decision-makers; instead, it's algorithms versus blunt rules and categories (eg income < $125,000). Paper here and more below! dl.acm.org/doi/abs/10.114
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In a new study, McCourt data scientist @beckyj1 analyzes what happens when governments use predictive modeling to allocate critical resources. Read more: mccourt.georgetown.edu/news/how-do-po
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The #InflationReductionAct eliminated cost-sharing for vaccines in Medicare - this will improve #healthequity (see chart in ppr) but more can be done! Read our Forefront to learn more (Great working w/Dr. Sumit Agarwal & of )
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In their new Forefront article, Sumit Agarwal, Nikhil Shankar + @MarcellaAlsan from @BrighamWomens + @harvardmed discuss how in the #InflationReductionAct of 2022 is a provision worthy of praise: the elimination of cost-sharing in #Medicare for vaccines. bit.ly/3JYCCP7
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Infectious disease transmission models are increasingly used for public health. However, using them wisely requires a basic understanding of how they work and the common pitfalls to avoid. Our new course can help! It's *free* and covers the basics without the use of equations.
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Today, @JohnsHopkinsSPH launched a free course on infectious disease transmission for public health practitioners. This course, taught by @EmilyGurley3 and @apwez, focuses on transmission models and decision-making. publichealth.jhu.edu/2022/johns-hop
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