These chart transitions are worthy of admiration, however: http://mbostock.github.io/d3/talk/20111116/#11
Monthly Archives: July 2013
Just because you can doesn’t mean that you should
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Filed under dataviz
D3js axes and tricks for ticks
Possibly of use for homework or projects: http://bl.ocks.org/phoebebright/3061203
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How to teach visualization
I will have some thoughts on this soon, I hope: http://fellinlovewithdata.com/reflections/teach-visualization
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What are HIV+ patients dying of?
A question that has been coming up in a lot of different forms lately is the title of this post: What are HIV+ patients dying of? In high-income settings, for people who are getting treatment, the answer seems to be known, by those in the know, and perhaps the definitive work is Causes of Death in HIV-1–Infected Patients Treated with Antiretroviral Therapy, 1996–2006: Collaborative Analysis of 13 HIV Cohort Studies.
Figure http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157754/figure/F2/
Left unanswered is what is going on with people who are not getting treatment, who are not diagnosed, and who are not living in Europe or North America.
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Filed under global health
IDV4GH Coming Soon
Papers my interactive data visualization students will be reading soon: http://fellinlovewithdata.com/guides/7-classic-foundational-vis-papers
(I just completed teaching an intensive course on Interactive Data Visualization for Global Health (IDV4GH). In hind-sight, much of my plan was overly optimistic about how much can be packed into 30 hours.)
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Modeling global health diagnostics
I had the opportunity to attend a days worth of talks on mathematical epidemiological modeling for new diagnostic technologies recently, something that I don’t have any experience with. It is interesting to see how similar areas approach similar problems differently. Certainly in my GBD 2010 descriptive epidemiology modeling work, I needed to cope with changes in diagnostic technology, for example a test for heart attacks developed in the 1990s led to detection of 50% more cases. But I never looked at things from the perspective of the diagnostic developer (or diagnostic investor).
If I were to start, it seems like the Nature series Improved Diagnostic Technologies for the Developing World is loaded with interesting approaches and results. It is several years old now, but it was never called to my attention before. I’m going to take a look at it.
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Healthy Algorithms 