Tag Archives: gbd

GBD results on Hepatitis

It took a while, but we finally managed to put together all the GBD results on hepatitis: http://thelancet.com/journals/lancet/article/PIIS0140-6736(16)30579-7/abstract

It has had some traction with the press: http://www.bbc.com/news/health-36717828
http://www.aljazeera.com/news/2016/07/hepatitis-kills-aids-tb-160707040458197.html
http://www.20minutos.com.mx/noticia/109751/0/la-hepatitis-se-convierte-en-la-principal-causa-de-muerte-en-el-mundo/

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Marie’s approach to BMI

Another one for the reading list:

Article alert
________________________________________
The following new articles have just been published in Population Health Metrics

Research
A novel method for estimating distributions of body mass index
Ng M, Liu P, Thomson B, Murray C
Population Health Metrics 2016, 14 :6 (12 March 2016)

http://pophealthmetrics.biomedcentral.com/articles/10.1186/s12963-016-0076-2

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Filed under global health, statistics

NIH, ScienceMag, and BoD

This article in ScienceMag caught my attention and then got forwarded to everyone: http://www.sciencemag.org/news/funding/2015/12/nih-drops-special-10-set-aside-aids-research

It looks like GBD stuff, but they never said IHME or GBD. But digging deeper… it is! http://report.nih.gov/info_disease_burden.aspx

Now we can say it is definitely our data even though the Science article doesn’t mention us.

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Filed under global health, science policy

Major Updates to GBD Compare tool

Lots of new features: http://vizhub.healthdata.org/gbd-compare/ Very smooth UX. Do old links still work?

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Filed under dataviz, global health

On comparing DALYs

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

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How did GBD find X?

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?

–Abie

Abraham D. Flaxman
Assistant Professor
Institute for Health Metrics and Evaluation | University of Washington
2301 5th Avenue, Suite 600 | Seattle, WA 98121| USA

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CHD mortality over time from GBD 2013

CHD mortality over time:
USA http://ihmeuw.org/3b3f
Peru http://ihmeuw.org/3b3g

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Digging into the GBD 2010 Risk Factors II

A follow-up on my recent adventure digging into the GBD 2010 risk factors, wherein I helped a fellow researcher find the specific diseases to which the risk factor DALYs are attributed (http://ihmeuw.org/2c6v ):

Capture

I helped find where to look at the risk factor attribution, but what if you want to download the numbers? The “download chart data as CSV” link gives you something, but it is not the risk factors, it is just the disease fractions of total DALYs:

Capture

Fortunately, a javascript guru with a few minute told me the incantation to get the risk factor fractions out, recorded here for posterity:

$.fileDownload(app.settings.baseURL+'php/risk_data.php',{ httpMethod: "POST", data:{ measure: app.getMeasure(1, 'percent'), sex: app.getSex(1), age: app.getAge(1), year: app.getYear(1), location: app.getLocation(1), cause: d3.keys(app.metadata.causes), risk: app.getRisk(1), format: 'csv', title: app.charts[1].getTitle(), } });

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Digging into GBD 2010 Risk Factors

I have to make the old DisMod-III website disappear (is it still here?). It is beautiful, but it is not available, and so I have to turn away researchers who want to use it for their own work. Fortunately, I can send them to a GitHub repository of DisMod code that they can use. But recently, it was not really DisMod that the emailing researcher wanted. I think they were really interested in digging into the details behind a figure like this one:
rf

For that, there is a non-dead website I can offer: GBD Compare. Finding your way around it can be a bit of a challenge, though, so here is a link straight to the relative contribution of each nutritional risk factor for Germany and USA: http://ihmeuw.org/2c6t ; to see from which specific diseases the risk factor DALYs are attributed, you can use a different part of this tool, linked to here: http://ihmeuw.org/2c6v

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GBD 2010: The Global Burden of Ischemic Heart Disease in 1990 and 2010: The Global Burden of Disease 2010 Study

I wish I had been more diligent in collecting the disease-specific papers that have come out following the Global Burden of Disease 2010 Study… here is the latest one to go into print: Moran et al, The Global Burden of Ischemic Heart Disease in 1990 and 2010: The Global Burden of Disease 2010 Study, in Circulation.

ihd_compartments

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