Big Data Case Study: AIDSVu

by Kelley Johnson

A caputre from AIDSVU showing the prevelance of HIV in the Milwaukee, WI, USA compared with the population with a High School education.

A capture from AIDSVU showing the prevalence of HIV in the Milwaukee, WI, USA compared with the population with a High School education.

AIDSVu is an interactive map that uses data from the U.S. Centers for Disease Control and Prevention to visually display people living with HIV in the United States. The map breaks down other factors than a person’s diagnosis, including poverty, education level, income inequality and whether or not people in the area have health insurance. The AIDSVu maps are an excellent example of how Big Data can be used in the field of development.

A capture from AIDSVu

A capture from AIDSVu

Although the information contained in the report is from several reports done by the CDC, it presents it in a much more accessible format and collects it all in one place for easy and open access.

This data meets the two UN Global Pulse report’s criteria (as referenced by our definition article about Big Data) for big data and development. It contextualizes the data by comparing several factors so that even a casual reader can see that certain areas have higher levels of the disease. The information is sophisticated and accessible, with countless uses for organizations that work to help people with the disease. For example, the map breaks the data down according to how people living in that county became infected, an invaluable resource for health departments and community organizations working towards prevention. The website also provides resources for testing and care.

Sources:

http://aidsvu.org/

http://www.unglobalpulse.org/sites/default/files/BigDataforDevelopment-GlobalPulseMay2012.pdf

1 comment

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