A Grid Based Approach to Share Public Health Surveillance Applications - The R Example

Authors

  • Kailah Davis Department of Biomedical Informatics, University of Utah
  • Julio Facelli Department of Biomedical Informatics, University of Utah; Center of High Performance Computing, University of Utah

DOI:

https://doi.org/10.5210/ojphi.v5i1.4465

Abstract

There are several barriers prohibiting the sharing of public health applications, primarily driven by complexity and cost. This poster describes an approach which leverages grid technology for the epidemiological analyses of public health data. Through a virtual environment, users, particularly those unfamiliar with the application [R], can easily perform on-demand statistical analyses. As a proof of concept, an example of mortality-based analysis taken from the literature was reproduced using the grid version of R. Developing prototypes can provide insight on how a public health grid infrastructure could be developed as a dynamically evolving ecosystem of grid enabled applications.

Author Biography

Kailah Davis, Department of Biomedical Informatics, University of Utah

Kailah Davis is a Ph.D. candidate in biomedical informatics at the University of Utah. She received her B.S. in computer science from the University of the Virgin Islands in 2007. After receiving her B.S. she did a post-baccalaureate training at Arizona State University. Her research interests include public health informatics and disease surveillance. Her dissertation explores leveraging new resources and tools which can aid in the development of an enhanced public health surveillance infrastructure.

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Published

2013-03-23

How to Cite

Davis, K., & Facelli, J. (2013). A Grid Based Approach to Share Public Health Surveillance Applications - The R Example. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4465

Issue

Section

Poster Presentations