If I’m going to call attention to magazine coverage of the GBD 2010, I must also point out the great Discover Magazine article my former classmate wrote, which includes a snapshot I’m pretty sure I took.
Monthly Archives: August 2013
Here is a nice, concise explanation of what the GBD 2010 Study found, published last Jan in Atlantic Magazine.
I had two colleagues call my attention to a cool use of GBD 2010 estimates recently: the Economist observed World Hepatitis Day by calling attention to the deaths due to hepatitis as compared to the deaths due to HIV. It is very nice to see these numbers getting out into the world.
But there are a lot of metrics to use for this comparison, and a lot of ways to show them besides a four-colored map. Find a country of interest from their map, and then make a detailed comparison on the GBD-Compare tool: China, North Africa/Middle East, United States.
As I mentioned, disease-specific papers I helped with from the GBD 2010 work are starting to appear, and the GBD-Compare tool tells a story about each one. This one is about heart disease, as described in Forouzanfar et al. Assessing the global burden of ischemic heart disease, part 2: analytic methods and estimates of the global epidemiology of ischemic heart disease in 2010.
A small pile of disease-specific papers I helped with from the GBD 2010 have started to make their way into the world. Each should have a set of links to an appropriately selected spot in the GBD-Compare tool:
- Charlson et al. The epidemiological modelling of dysthymia: Application for the Global Burden of Disease Study 2010. http://www.ncbi.nlm.nih.gov/pubmed/23806588
- Marcenes et al. Global burden of oral conditions in 1990-2010: a systematic analysis. http://www.ncbi.nlm.nih.gov/pubmed/23720570
- Forouzanfar et al. Assessing the global burden of ischemic heart disease, part 2: analytic methods and estimates of the global epidemiology of ischemic heart disease in 2010. http://www.ncbi.nlm.nih.gov/pubmed/23505617
It would be great if the systematic review data from these studies was released as well! At least two groups have actually used the HCV replication dataset in their own research now.
Stack Overflow comes through with a cool solution: http://stackoverflow.com/questions/10731008/d3-js-how-to-create-force-directed-graph-clusters