Epidemiological Data Visualization and Web 2.0 - The U.S. Cause of Death Project
Dr. Guenter Tusch, email@example.com
In epidemiology, large data sets are collected and indexed by geo-spatial location. Discovering unique patterns through visualization is an important way of gaining insight about such data. Epidemiological data in the US are in general very complex involving different geographical regions, medical features, and time trends.
The goal of this project is to visualize cause of death data in the United States using a variety of variables. The data set utilized for the project is the Web-based Injury Statistics Query and Reporting System sponsored by the Centers for Disease Control. Currently, the data set contains information regarding every death in the United States from 1981 to 2006. The project aggregates this information across predetermined age groups, states, and time. Users of the project are able to compare death information across all three variables. As a result, significant advancements have been made in the overall accessibility and usability of the data regardless of the technical abilities of the end user.
This project is an example of how information technology and visualization of epidemiological data can be made available to any user of the Internet. Such tools may work to change the understanding of the general public about epidemiological findings and can also be used in a doctor-patient relationship towards joint decision-making based on health risk management.
Neuhoff, Markus, "Epidemiological Data Visualization and Web 2.0 - The U.S. Cause of Death Project" (2010). Technical Library. Paper 7.
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