They’ve also made it extra annoying to download them, but I won’t let that stop me:
Cross-Sector Responses to Obesity: Models for Change: Workshop Summary http://www.nap.edu/catalog/21706/cross-sector-responses-to-obesity-models-for-change-workshop-summary
Preventing Intimate Partner Violence in Uganda, Kenya, and Tanzania: Summary of a Joint Workshop by the Institute of Medicine, the National Research Council, and the Ugandan National Academy of Sciences http://www.nap.edu/catalog/21756/preventing-intimate-partner-violence-in-uganda-kenya-and-tanzania-summary
A Framework for Assessing Effects of the Food System http://www.nap.edu/catalog/18846/a-framework-for-assessing-effects-of-the-food-system
Sent: Monday, June 29, 2015 12:15 PM
To: Laura Dwyer-Lindgren; Gillian Hansen; Abraham D. Flaxman
Subject: US County Drinking Data
What is the data source for the recent study involving drinking patters in US Counties from 2002-2012?!
From: Abraham D. Flaxman
Sent: Tuesday, June 30, 2015 8:22 AM
Subject: RE: US County Drinking Data
Thanks for your interest in this work. Our study is summarized here: http://www.healthdata.org/research-article/drinking-patterns-us-counties-2002-2012 and published in AJPH:
Dwyer-Lindgren L, Flaxman AD, Ng M, Hansen GM, Murray CJL, Mokdad AH. Drinking patterns in US counties from 2002 to 2012. American Journal of Public Health. 2015 April 23; e1-e8. doi:10.2105/AJPH.2014.302313. http://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2014.302313
The data is from the Behavioral Risk Factor Surveillance System (BRFSS), a rolling telephone survey, which collects around 250,000 interviews a year. You can see the results for Marathon County in context in our mapping tool here: http://ihmeuw.org/3gar
I suspect that there are other people wondering this as well… with your permission, I’ll include some of this correspondence on my blog, http://healthyalgorithms.com/
A question from a colleague of a colleague asks “We’re working on how we present the GBD DALY burden for two populatlons of different sizes. Obviously, just comparing the DALYs is not appropriate. Have you ever seen a relative rate published?”
My answer is that the DALY rate (e.g per 100,000 person-year) is just the thing for this: http://ihmeuw.org/3cl8
I thought you might be interested in this article that we recently published in the Lancet HIV on “Definitions of Implementation Science in HIV/AIDS.” The full article can be accessed here: http://dx.doi.org/10.1016/S2352-3018(15)00061-2. In this article, we review the use of the term “implementation science” in the HIV scientific literature, then synthesize those existing definitions using network analysis, and finally offer a working definition.
In addition, we used D3 to create an interactive visualization of the network of definitions – available here: http://tinyurl.com/imp-scie-defs-hiv. Hovering over a node reveals the text of the definition; and you can click-and-drag the nodes if any are obscuring author names. Just a few tricks from my days taking your interactive data visualization class :)
Thanks for introducing me to interactive data visualization! I very much appreciated your course and I’m happy to have been able to apply your lessons in this article! Hope you’re having a great time with the babies!
From: Abraham D. Flaxman
Sent: Friday, May 29, 2015 9:46 PM
To: Deepa Rao; Stephen Gloyd
Subject: MOZ Self-Harm in GBD
I didn’t want to get in the way of any presenters today, and I didn’t have a chance to catch you afterwards on the MOZ self-harm estimates from GBD, but we actually have a pretty good tool for digging into questions like this now: http://ihmeuw.org/3c2f
If you click on a data point, it links to a page on the source. In this case, there are two verbal autopsies as sources, one nationally representative, and one for a DSS site: http://ghdx.healthdata.org/record/mozambique-manhi%C3%A7a-health-and-demographic-surveillance-system http://ghdx.healthdata.org/record/mozambique-national-survey-causes-death-2007-2008 on the topic of VA, you might suspect that these measurements are lower than the truth, since stigma, and how is a VA going to get coded to suicide if the respondent says it was an accident?
Abraham D. Flaxman
Institute for Health Metrics and Evaluation | University of Washington
2301 5th Avenue, Suite 600 | Seattle, WA 98121| USA