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

Public Health Surveillance Practice (165)

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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Article Authors Cited by (2) Tweetations Metrics

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
  2. Guru Rao S, Rokkam P, Zhang B, Sargsyan A, Kaladharan A, Sethumadhavan P, Jacobs M, Hofmann-Apitius M, Tom Kodamullil A. Three-layered semantic framework for public health intelligence. Journal of Biomedical Semantics 2025;16(1) View