Developing the Scalable Data Integration for Disease Surveillance (SDIDS) Platform
Author(s) -
David L. Buckeridge,
Maxime Lavigne,
Kate Zinszer,
Anya Okhmatovskaia,
Samson W. Tu,
Csongor Nyalus,
Mark A. Musen,
Wilson Chun Yu Lau,
Lauren Carroll,
Neil F. Abernethy
Publication year - 2016
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v8i1.6414
Subject(s) - disease surveillance , computer science , data science , scalability , data integration , big data , disease , world wide web , data mining , medicine , database , pathology
A scalable software platform to intergrate global health surveillance data and support decision making was developed and then implemented using malaria surveillance data from Uganda.
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