Official twitter account for China Health Policy and Management Society, a global organization that strives to promote population health and health equity.
United States
Joined November 2012
- Tweets2.3K
- Following782
- Followers453
- Likes1.4K
CHPAMS retweeted
🌟Sharing this CNN report, which features my research findings spanning from 2008 to the present. Over the last two decades, the global plasma market has grown increasingly interdependent. The U.S. shifted from a major importer to the largest exporter, …
@YaleSPH @YaleGH
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China is the world's biggest consumer of human albumin, the most abundant protein in plasma. But it remains heavily reliant on plasma from its biggest geopolitical rival, the United States, for much of its supply.
That reliance carries growing risks for Chinese patients. cnn.it/4xWIy2O
CHPAMS retweeted
🌟We already know that breathing dirty air in utero can leave lasting marks on the brain. Our new NBER Working Paper advances this research by asking why the damage doesn't fall evenly. Biology is only part of the story. Families are the other part.
📝Read the paper here👇
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Fetal exposure to PM2.5 lowers cognitive test scores in China, with the largest losses among women who have brothers and receive less family help with schooling, from Xin Zhang, Yixuan Wang, Xingyi Hu, and @xcyale nber.org/papers/w35591
CHPAMS retweeted
A photo recap of our successful Yale Cognition Workshop, May 11-12; Look forward to our 2nd workshop in 2027🥂
Such a pleasure to work w fantastic colleagues to make it happen. Coincidentally, the same day in 2018 I was hosting CHPAMS meetings in New Haven w 300+ participants.🌍
CHPAMS retweeted
Link to our paper at the @CellPressNews @CellRepMed
cell.com/cell-reports-medici…
@YaleGH @YaleMacMillan
2/2
CHPAMS retweeted
🧠🩺 What individual, family, and neighborhood factors influence timely dementia diagnosis across different ethnic groups? Our new findings from linking U.S. HRS survey @hrsisr with Medicare claims and National Neighborhood Data Archive.
@UM_NaNDA @YaleSPH
link.springer.com/article/10…
CHPAMS retweeted
Thanks for the generous support from LCC polit grant @umnlifecourse
Former pilot grant recipient Jiao Yu published a new paper - "Neighborhood Disorder and Risk of Dementia: The Mediating Role of Cardiometabolic Risk". Take a look: bit.ly/41vxiMN
CHPAMS retweeted
I’m grateful to have led this work and thankful for such a meaningful collaboration. @xcyale @MrDisability
Special thanks to the support @umnlifecourse @Yale_OAIC
🏠🫀🧠What is the toll of living in a disordered neighborhood? Led by @Jiao_Jo_Yu, our new paper explores how stressful neighborhood environments damage the heart—and then the brain.
@wangyi031104 @MrDisability
Link to the paper: sciencedirect.com/science/ar…
@AmJPrevMed
@YaleSPH
CHPAMS retweeted
🏠🫀🧠What is the toll of living in a disordered neighborhood? Led by @Jiao_Jo_Yu, our new paper explores how stressful neighborhood environments damage the heart—and then the brain.
@wangyi031104 @MrDisability
Link to the paper: sciencedirect.com/science/ar…
@AmJPrevMed
@YaleSPH
CHPAMS retweeted
🌟NEW PUBLICATION ALERT🌟
Specialized geriatric care is proving to be a life-saver. We are very excited about these findings — it is the first national study showing that #Geriatric #Emergency Departments (GEDs) make a difference in patient outcomes.
CHPAMS retweeted
Time to register for Yale #AI Symposium 2026. Look forward to preparing this lightning talk “The Hidden Costs of AI Diagnosis: Safety Tradeoffs & Demographic Disparities in Chatbot Performance”, on behalf of the team. #Chatbot #Equity #Safety
Registration: ai.yale.edu/opportunities/ai…
CHPAMS retweeted
Thank you, Dr. Omonigho Michael Bubu, for your insightful commentary on our systematic review of US-based phase III AD drug trials spanning 25+ yrs.
“The cost of inaction will grow, risking an inequitable therapeutic landscape in which those most affected again benefit last.”
🚨“Ensuring that phase III trials reflect the full diversity of people living w AD is fundamental to the fairness, credibility, and clinical usefulness of science.”
🌟Commentary: Aligning Alzheimer Trials w Disease Demographics—From Rhetoric to Reality jamanetwork.com/journals/jam…
5/5
CHPAMS retweeted
🌟New publication alert🌟
Our systematic review analyzed the reporting and representation of racial and ethnic groups in United States #Alzheimer’s disease Phase III clinical trials (1997 - 2023).
Link to the study:jamanetwork.com/journals/jam…
@YaleSPH @YaleMed @ISPSYale
#dementia
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CHPAMS retweeted
Pleased to moderate the discussion on innovating end-to-end respiratory care for the aging society at @BoaoForumBFA 2026. Experts from hospitals, China CDC, and research institutes made it clear that chronic respiratory diseases should be addressed in a systematic manner.
CHPAMS retweeted
🌟New publication alert🌟
Our study led by Wei Fu and Yuting Qian showed that reinstating #Alzheimer disease and related #dementias in 2020 decreased reported care access issues by 6.6 percentage points and reported medical financial burden by 9.2 percentage points.
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@YaleSPH
Reinstatement of #Alzheimer disease and related #dementias diagnoses in the #Medicare Advantage risk adjustment model was associated with improved access to care and reduced financial burden among beneficiaries.
ja.ma/4sb8g1a
ALT Four graphs show proportion trends from 2015-2022. A: Trouble getting care; ADRD vs stroke/paralysis/Parkinson's. B: Medical financial burden. C: Satisfaction with specialist access. D: Satisfaction with care quality. Vertical axis is proportion.
CHPAMS retweeted
Risk Adjustment for ADRD in Medicare Advantage and Health Care Experiences
Link to the 93-page IZA DP No. 18417: iza.org/publications/dp/1841…
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CHPAMS retweeted
1st IZA DP since the global network transitioned to its new home at @LISERinLUX. As an IZA Fellow, I fondly remember my visits to events in Bonn, Berlin, Munich, Buch/Ammersee, and the wonderful people I've met over the past 12 yrs. Wishing the new IZA@LISER chapter much success!
CHPAMS retweeted
Absolute pleasure to be part of this group and contribute to the develoment of PH-LLM, a suite of large language models for real-time public health infoveillance. Our team fine-tuned various #LLM using a extensive multilingual dataset focused on social media health discourse. 1/
