Epi Archive: automated data collection of notifiable disease data

Detalles Bibliográficos
Autores principales: Generous, Nicholas, Fairchild, Geoffrey, Khalsa, Hari, Tasseff, Byron, Arnold, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2017
Materias:
ISDS 2016 Conference Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462193/
http://dx.doi.org/10.5210/ojphi.v9i1.7615
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author Generous, Nicholas
Fairchild, Geoffrey
Khalsa, Hari
Tasseff, Byron
Arnold, James
author_facet Generous, Nicholas
Fairchild, Geoffrey
Khalsa, Hari
Tasseff, Byron
Arnold, James
author_sort Generous, Nicholas
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spelling pubmed-54621932017-06-12 Epi Archive: automated data collection of notifiable disease data Generous, Nicholas Fairchild, Geoffrey Khalsa, Hari Tasseff, Byron Arnold, James Online J Public Health Inform ISDS 2016 Conference Abstracts University of Illinois at Chicago Library 2017-05-01 /pmc/articles/PMC5462193/ http://dx.doi.org/10.5210/ojphi.v9i1.7615 Text en http://creativecommons.org/licenses/by-nc/3.0/ ISDS Annual Conference Proceedings 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle ISDS 2016 Conference Abstracts
Generous, Nicholas
Fairchild, Geoffrey
Khalsa, Hari
Tasseff, Byron
Arnold, James
Epi Archive: automated data collection of notifiable disease data
title Epi Archive: automated data collection of notifiable disease data
title_full Epi Archive: automated data collection of notifiable disease data
title_fullStr Epi Archive: automated data collection of notifiable disease data
title_full_unstemmed Epi Archive: automated data collection of notifiable disease data
title_short Epi Archive: automated data collection of notifiable disease data
title_sort epi archive: automated data collection of notifiable disease data
topic ISDS 2016 Conference Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462193/
http://dx.doi.org/10.5210/ojphi.v9i1.7615
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