Gapminder HIV Chart 2009
About this PDF ChartGapminder HIV Chart 2009 is a map for print. It may be redistributed under a CreativeCommons license. The size of the country bubbles in the chart represents the Number of people living with HIV. The y-axis and x-axis shows Adult HIV prevalence rate and Income per person, respectively. Read more about HIV Trends in the blog: “See new surprising trends in HIV” |
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Comments(14)






[...] have a great new chart out covering HIV infection rates around the world. It’s a fantastic way to visualise which [...]
Hej, Jag skulle vilja använda detta program till en powepoint presentation.
I have an idea for a chart (for print), where do I post it ?
Dear George,
Thank you for your interest in our charts.
Please send an e-mail to info (at) gapminder.org with a copy to daniel.lapidus (at) gapminder.org.
Best regards.
Daniel
IT Developer, Gapminder Foundation
[...] Gapminder HIV Chart 2009 (PDF) [...]
[...] Statistikken finner du her. [...]
interesante
I would like to use two Gapminder charts, including the HIV Chart 2009 in the next version of my book.
How would I go about getting permissions?
The Creative Commons site said to check with the copyright holder for anything that may have a commercial value, so that’s Gapminder.
Thanks!
Hi – this is wonderful software and wonderful work you’re doing. I wonder if you have any product similar to the motion chart map of U.S. employment changes by county visualized in this Slate article, found here:
http://www.slate.com/id/2216238/
Do you plan to expand beyond the traditional x/y mapping and go to actual mapping?
Wonderful statistics
cooooooooooool
[...] Gapminder HIV Chart 2009 (PDF) [...]
Th Gapminder software is amazing! How can I have access to it. Is it down-loadable? Good work indeed. Nice tool for teaching and advocacy.
Julius-Ethiopia
I have seen the Ted talk on the global HIV epidemic (http://www.ted.com/talks/hans_rosling_the_truth_about_hiv.html). I found it was a great talk.
However, you mention there that concurrent partnerships could be one explanation for the (Southern) Sub Saharan African HIV epidemic. I just would like to draw your attention to the recent debate on the importance of concurrent partnerships arguing that the empirical evidence on this hypothesis is still limitted:
http://www.ncbi.nlm.nih.gov/pubmed/19488848
http://www.ncbi.nlm.nih.gov/pubmed/19890204
http://www.ncbi.nlm.nih.gov/pubmed/19455016
http://www.ncbi.nlm.nih.gov/pubmed/11399960