DocumentCode :
945596
Title :
The Model Repository of the Models of Infectious Disease Agent Study
Author :
Cooley, Phillip C. ; Roberts, D. ; Bakalov, V.D. ; Bikmal, S. ; Cantor, S. ; Costandine, T. ; Ganapathi, L. ; Golla, B.J. ; Grubbs, G. ; Hollingsworth, C. ; Li, S. ; Qin, Y. ; Savage, William ; Simoni, D. ; Solano, E. ; Wagener, D.
Author_Institution :
RTI Int., Research Triangle Park, NC
Volume :
12
Issue :
4
fYear :
2008
fDate :
7/1/2008 12:00:00 AM
Firstpage :
513
Lastpage :
522
Abstract :
The model repository (MREP) is a relational database management system (RDBMS) developed under the auspices of models of infectious disease agent study (MIDAS). The purpose of the MREP is to organize and catalog the models, results, and suggestions for using the MIDAS and to store them in a way to allow users to run models from an access-controlled disease MREP. The MREP contains source and object code of disease models developed by infectious disease modelers and tested in a production environment. Different versions of models used to describe various aspects of the same disease are housed in the repository. Models are linked to their developers and different versions of the codes are tied to Subversion, a version control tool. An additional element of the MREP will be to house, manage, and control access to a disease model results warehouse, which consists of output generated by the models contained in the MREP. The result tables and files are linked to the version of the model and the input parameters that collectively generated the results. The result tables are warehoused in a relational database that permits them to be easily identified, categorized, and downloaded.
Keywords :
diseases; medical information systems; relational databases; source coding; access-controlled disease MREP; infectious disease agent; model repository; object code; relational database management system; source code; Data management; data management; data warehouse; epidemiological disease models; model repository; model repository (MREP); relational database; Communicable Diseases; Database Management Systems; Databases, Factual; Humans; Information Storage and Retrieval; Models, Biological; Population Surveillance;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2007.910354
Filename :
4358925
Link To Document :
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