This week in journal club we are discussing Rudan et al, Epidemiology and etiology of childhood pneumonia in 2010. This description of an estimation method comes with an 80 page spreadsheet showing the calculation!
Category Archives: global health
I was traveling last week for a verbal autopsy conference, and now that I’m catching up I can share this: my study on Mortality in Iraq Associated with the 2003–2011 War and Occupation has been published in PLoS Medicine.
It is great that this paper got some media coverage, because it was really hard work. Here are a few examples of how the science looked in the popular press:
Lots of moving photos in the files to accompany this story!
This week we heard from Ziad Obermeyer, a former IHMEer, and current Harvard prof and ER doc, about using big data to understand costs and improve predictions in the health system. And he didn’t say “big data” the whole time. Perhaps the video will appear here.
We had a live-streamed seminar at IHME this week! I’m very excited to hear that it worked. The talk was good, too.
We heard from Kuang Chen, the founder and CEO of Captricity (http://captricity.com/), about how this “beyond OCR” approach to data entry went from academic research to a Silicon Valley startup. To show off what they can do, Captricity has a number of cool datasets that they have transformed from unsearchable PDFs into well-groomed csv files. For example, the USA 1940 census: https://shreddr.captricity.com/opendata/1940-census/
I could see using this service in my future, maybe for a VA survey or something similar. But what really grabbed me was the datasets they are making available. Their data gallery a place I’ll be watching: https://shreddr.captricity.com/opendata/
The quarter is underway, and journal club is back. This week will will discuss Tusting et al’s meta-analysis of socioeconomic development as an intervention against malaria.
I wonder if the forest plot is here to stay?
It presents a lot of information, but maybe it could emphasize the important parts more. There is great benefit to having a standard way to present systematic review data, however, so any changes need to be for huge benefit or just little tweaks.
Papers on with results from some of my favorite models from the GBD 2010 appeared this week:
Degenhardt et al, Global burden of disease attributable to illicit drug use and dependence: findings from the Global Burden of Disease Study 2010, http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)61530-5
Whiteford et al, Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010, http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)61611-6
It is just the kind of stuff to generate catchy health news headlines.
I got stuck trying to find a good definition of “socioeconomic status” recently. Maybe there isn’t one. Here is a bunch of reading on the matter:
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.
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.