Tag Archives: my research

SIAM Mini-tutorial Recording online

Dear AN16 speakers, this one contains the correct link,

The sessions recorded at the Annual Meeting (AN16) in Boston are now available on SIAM Presents…Featured Lectures from Our Archives

https://www.pathlms.com/siam/courses/3028

You are welcome to link to your talk from your personal web pages and point to the site. You can find your presentation using the search box on the upper right.

We will post links from the SIAM web site to the presentations and will send out notification to attendees shortly. I expect the recorded sessions from the Conference on the Life Sciences (LS16) to also be available soon.

Please do not hesitate to contact me if you have questions.

Sorry about the error in the first email.

Sincerely,

Linda

Linda C. Thiel
SIAM Director, Programs and Services

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Write-up of my SIAM Tutorial

That was nice of them to do: https://sinews.siam.org/Details-Page/machine-learnings-impact-on-global-public-health

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U.S. county mortality paper

The U.S. county mortality paper, a study analyzing 21 cause groups of death in every U.S. county from 1980 through 2014, was published in JAMA on December 13th along with a trove of other useful resources on county health including updated county profiles, an updated US Health Map data tool, a new US Data GHDx page, a new animated GIF, and two videos produced by JAMA.

Congratulations to IHME study authors Laura Dwyer-Lindgren, Amelia Bertozzi-Villa, Rebecca Stubbs, Chloe Morozoff, Michael Kutz, Chantal Huynh, Ryan Barber, Katya Shackleford, Abraham Flaxman, Mohsen Naghavi, Ali Mokdad, and Christopher Murray.

Additional congrats to the Global Engagement Team (GET) members and alumni involved in the dissemination of these important findings: Dean Owen, Kevin O’Rourke, Kate Muller, Bill Heisel, Dawn Shepard, Sofia Cababa Wood, Katie Leach-Kemon, Adrienne Chew, Pauline Kim, Rachel Fortunati, and Kayla Albrecht.

Stories by CNN, HealthDay, NBC, and Reuters were picked up by hundreds of local news stations and papers across the nation, totaling nearly 500 media mentions since 8:00am Tuesday. Here are a few of the top news stories covering the paper; many include their own graphics using IHME county mortality data:
• Janet Adamy with the Wall Street Journal wrote What kills Americans varies widely by region. ““It’s much more complicated than saying ‘Everything’s bad in Mississippi and Alabama, and everything’s good in places with high life expectancy,’” said Christopher J. L. Murray, director of the Institute for Health Metrics and Evaluation at the University of Washington and an author of the study.”
• Olga Khazan with the Atlantic wrote Why are so many Americans dying young? “’A place like Colorado, there’s an incredibly low death rate for heart disease, one of the lowest in the world, and low rate for diabetes,’ Murray said. ‘If you look at places like West Virginia, things are getting worse, and it’s not just opioids.’”
• Jacqueline Howard with CNN wrote What’s the most common cause of death in your county? “’We know that unequal access and quality of care create health disparities in the US for many causes of death, while other causes are linked to risk factors or policies. The results of this study prompt future research to further identify what drives health disparities in our country,’ said Dr. Christopher Murray, a professor and director of the Institute for Health Metrics and Evaluation at the University of Washington, who was a co-author of the new study.”
• Anna Maria Barry-Jester with FiveThirtyEight wrote How Americans die may depend on where they live. “Lead author Laura Dwyer-Lindgren, a researcher at the Institute for Health Metrics and Evaluation at the University of Washington, says she hopes the data can be useful to local health workers and the public. ‘If you go to any state health coordinator, they probably know what was recorded on the death certificates. But it can be really difficult to interpret them,’ she said. She hopes that collapsing the various causes of death down to 21, rather than looking at everything that can kill a person, will make it easier to target regional problems.”
• Maggie Fox with NBC News wrote Where you live determines what kills you. “’Heart disease is particularly high in the southeast of the United States,’ said Murray, who has pioneered many different ways to crunch health statistics. Experts know lifestyle — poor diet, a lack of exercise and less access to good medical care — are mostly to blame.”
• Andrew Seaman with Reuters wrote U.S. death rates vary drastically by county. “’Within any individual county, knowing how big of a problem a condition is’ can help counties know which conditions need attention, resources and policies, said the study’s lead author Laura Dwyer-Lindgren, of the Institute for Health Metrics and Evaluation at the University of Washington in Seattle.”
• Dennis Thompson with HealthDay wrote Where you live may determine how you die, which was picked up by U.S. News and World Report. “Armed with this sort of information, county and city health departments can focus their efforts on the specific problems affecting their communities, said lead researcher Ali Mokdad. He is a professor with the department of global health at the University of Washington, in Seattle.”
• Julia Belluz and Sarah Frostenson wrote These maps show how Americans are dying younger. It’s not just the opioid epidemic. “Different geographic regions are experiencing extreme variations in despair-related outcomes like suicides, drug overdoses, and heart disease, said Abraham Flaxman of the University of Washington, one of the authors of the new JAMA paper. ‘If you look at geographic patterns, you can say it’s despair that’s leading people to drink and do drugs. But then why wouldn’t that apply to leading people to overeat and become obese and diabetic? These trends are happening in different places.’”
• Agata Blaszczak-Boxe with Live Science wrote Leading causes of death in US vary greatly by region. “The reasons why higher death rates vary across geographic areas are not completely clear, but the authors suggested some ideas. For example, the higher death rates from cardiovascular diseases might have something to do with higher rates of obesity in these areas, said study co-author Christopher J. L. Murray.
• Carolyn Gregoire with the Huffington Post wrote This GIF sums up the impact of addiction and mental illness on America. “In a cluster of counties in Kentucky, West Virginia and Ohio, researchers uncovered striking death toll increases of 1,000 percent or more. Topping the list were Clermont County, Ohio (the site of one of the worst heroin epidemics in the state), which saw a 2,206 percent spike, and opioid-stricken Boone County, West Virginia, with a 2,030 percent increase.”
• (UK) Mia De Graff with the Daily Mail wrote What is the typical cause of death in YOUR county? Incredible maps show leading killers in each region of America. “Where you live determines how you die. That is the conclusion of a new study that lays bare the most common causes of death county-by-county across the United States, and how it has changed since 1980.”
• (UK) Celine Gounder with the Guardian wrote How long will you live? That depends on your zip code. “In an analysis of 80 million deaths in the United States between 1980 and 2014, a study published on Tuesday finds dramatic differences not only in life expectancy, but also in cause of death from county to county. ‘We’re not narrowing the gap. The gap is widening,’ said Christopher JL Murray, one of the authors of the study.”

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CCA for diverticulitis

A short paper from my work on predicting who will get elective surgery for diverticulitis is on arXiv: https://arxiv.org/abs/1612.00516 [tag: my-research]

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Filed under machine learning

Learning in Surgeons

New paper: Assessing surgeon behavior change after anastomotic leak in colorectal surgery
Authors
Vlad V Simianu, Anirban Basu, Rafael Alfonso-Cristancho, Richard C Thirlby, Abraham D Flaxman, David R Flum
Publication date
2016/10/31
Journal
Journal of Surgical Research
http://www.sciencedirect.com/science/article/pii/S0022480416301962

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Filed under global health, health communication

Diabetes by County in USA

Diagnosed and Undiagnosed Diabetes Prevalence by County in the US, 1999–2012
Authors
Laura Dwyer-Lindgren, Johan P Mackenbach, Frank J van Lenthe, Abraham D Flaxman, Ali H Mokdad
Publication date
2016/9/1
Journal
Diabetes Care
Volume
39

http://care.diabetesjournals.org/content/39/9/1556.abstract

Cool maps:
http://vizhub.healthdata.org/us-health-map/

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Filed under disease modeling, global health

DALYs averted by MSF facility

I helped with a calculation that is now published in this paper: Averted health burden over 4 years at Médecins Sans Frontières (MSF) Trauma Centre in Kunduz, Afghanistan, prior to its closure in 2015
http://www.sciencedirect.com/science/article/pii/S0039606016301994

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