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Linkages Between Animal and Human Health Sentinel Data by Matthew Scotch; Lynda Odofin; Peter Rabinowitz is a Agricultural and Biological Sciences article available to read on EtoBox.

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## Introduction: In order to identify priorities for building integrated surveillance systems that effectively model and predict human risk of zoonotic diseases, there is a need for improved understanding of the practical options for linking surveillance data of animals and humans. we conducted an analysis of the literature and characterized the linkage between animal and human health data. we discuss the findings in relation to zoonotic surveillance and the linkage of human and animal data. ## Methods: The canary database, an online bibliographic database of animal-sentinel studies was searched and articles were classified according to four linkage categories. ## Results: 465 studies were identified and assigned to linkage categories involving: descriptive, analytic, molecular, or no human outcomes of human and animal health. descriptive linkage was the most common, whereby both animal and human health outcomes were presented, but without quantitative linkage between the two. rarely, analytic linkage was utilized in which animal data was used to quantitatively predict human risk. the other two categories included molecular linkage, and no human outcomes, which present health outco

Who reads Linkages Between Animal and Human Health Sentinel Data?

Author

Matthew Scotch; Lynda Odofin; Peter Rabinowitz

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2005-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1746-6148)

Published

2009

Language

EN

Field

Agricultural and Biological Sciences (Life Sciences)