Development of grid-like applications for public health using Web 2.0 mashup techniques.

Development of public health informatics applications often requires the integration of multiple data sources. This process can be challenging due to issues such as different file formats, schemas, naming systems, and having to scrape the content of web pages. A potential solution to these system de...

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Bibliographic Details
Published in:Journal of the American Medical Informatics Association Vol. 15; no. 6; pp. 783 - 787
Main Authors: Scotch M, Yip KY, Cheung KH, Scotch, Matthew, Yip, Kevin Y, Cheung, Kei-Hoi
Format: research Journal Article
Published: Oxford University Press / USA Nov/Dec2008
Online Access:View this record in EBSCOhost
Description
Summary:Development of public health informatics applications often requires the integration of multiple data sources. This process can be challenging due to issues such as different file formats, schemas, naming systems, and having to scrape the content of web pages. A potential solution to these system development challenges is the use of Web 2.0 technologies. In general, Web 2.0 technologies are new internet services that encourage and value information sharing and collaboration among individuals. In this case report, we describe the development and use of Web 2.0 technologies including Yahoo! Pipes within a public health application that integrates animal, human, and temperature data to assess the risk of West Nile Virus (WNV) outbreaks. The results of development and testing suggest that while Web 2.0 applications are reasonable environments for rapid prototyping, they are not mature enough for large-scale public health data applications. The application, in fact a "systems of systems," often failed due to varied timeouts for application response across web sites and services, internal caching errors, and software added to web sites by administrators to manage the load on their servers. In spite of these concerns, the results of this study demonstrate the potential value of grid computing and Web 2.0 approaches in public health informatics.