This paper is in the following e-collection/theme issue:

Public Health Surveillance Practice (163)

Published on in Vol 10, No 1 (2018):

A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems

A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems

A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems

Authors of this article:

Jon Hael Simon Brenas1 ;   Mohammad S. Al-Manir2 ;   Kate Zinszer3 ;   Christopher J. Baker2 ;   Arash Shaban-Nejad1
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Journals

  1. Al Manir M, Spencer B, Baker C. Decision Support for Agricultural Consultants With Semantic Data Federation. International Journal of Agricultural and Environmental Information Systems 2018;9(3):87 View