Surveillance to Manage Disease on Canadian Swine Farms
Author(s) -
John Berezowski,
Chris Byra,
Egan Brockhoff,
Dan Hurnik,
Christian Klopfenstein,
Harold Kloeze,
L. E. Bergeron,
George Charbonneau,
Francois Cardinal,
Iqbal Jamal,
T. Herntier
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5666
Subject(s) - medical diagnosis , disease surveillance , corporate governance , disease , data collection , data science , business , knowledge management , computer science , medicine , pathology , statistics , mathematics , finance
The Canadian Swine Health Intelligence Network (CSHIN) was developed to help Canadian swine veterinarians and producers deal more effectively with swine disease. It consists of two integrated components; a social network and a web-based data collection, analysis and reporting system. The organizational structure engages the data and information providers directly in the decision making (governance) processes. The data collected include farm level syndrome prevalence as well as clinical and laboratory diagnoses. The CSHIN has demonstrated that it can provide value to both individual producers and the industry as a whole.
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