Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits

Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits

Abstract Background The automated collection of non-specific data from livestock, combined with techniques for data mining and time series analyses, facilitates the development of animal health syndromic surveillance (AHSyS). An example of AHSyS approach relates to the monitoring of bovine fallen st...

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Bibliographic Details
Main Authors: Amanda Fernández-Fontelo, Pedro Puig, German Caceres, Luis Romero, Crawford Revie, Javier Sanchez, Fernanda C. Dorea, Ana Alba-Casals
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Veterinary Research
Subjects:
Fallen stock
Dairy cattle
Syndromic surveillance
Hierarchical time series
ARIMA models
Spain
Online Access:http://link.springer.com/article/10.1186/s12917-020-02312-8

Internet

http://link.springer.com/article/10.1186/s12917-020-02312-8

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